{"version":"1.0.0","segments":[{"speaker":"YS Chi","startTime":8.22,"endTime":11.94,"body":"Hello and welcome to the"},{"speaker":"YS Chi","startTime":8.22,"endTime":11.94,"body":"episode on technology at RELX."},{"speaker":"YS Chi","startTime":12.72,"endTime":16.38,"body":"Around 12,000 technologists,"},{"speaker":"YS Chi","startTime":12.72,"endTime":16.38,"body":"over half of whom are software"},{"speaker":"YS Chi","startTime":16.38,"endTime":19.98,"body":"engineers, work at RELX."},{"speaker":"YS Chi","startTime":16.38,"endTime":19.98,"body":"Annually the company spends $1.9"},{"speaker":"YS Chi","startTime":20.52,"endTime":24.765,"body":"billion on technology. It is the"},{"speaker":"YS Chi","startTime":20.52,"endTime":24.765,"body":"combination of our rich data"},{"speaker":"YS Chi","startTime":24.765,"endTime":29.925,"body":"sets, technology infrastructure"},{"speaker":"YS Chi","startTime":24.765,"endTime":29.925,"body":"and knowledge of how to use next"},{"speaker":"YS Chi","startTime":29.925,"endTime":33.705,"body":"generation innovation that"},{"speaker":"YS Chi","startTime":29.925,"endTime":33.705,"body":"allows us to create effective"},{"speaker":"YS Chi","startTime":33.705,"endTime":37.605,"body":"solutions for customers. Today,"},{"speaker":"YS Chi","startTime":33.705,"endTime":37.605,"body":"I'm speaking with the Chief"},{"speaker":"YS Chi","startTime":37.605,"endTime":41.325,"body":"Technology Officers of three of"},{"speaker":"YS Chi","startTime":37.605,"endTime":41.325,"body":"our businesses to understand how"},{"speaker":"YS Chi","startTime":41.385,"endTime":46.95,"body":"this all works. My guests are"},{"speaker":"YS Chi","startTime":41.385,"endTime":46.95,"body":"Vijay Raghavan, CTO of"},{"speaker":"YS Chi","startTime":46.95,"endTime":51.99,"body":"LexisNexis Risk Solutions, Jill"},{"speaker":"YS Chi","startTime":46.95,"endTime":51.99,"body":"Luber, CTO at Elsevier and Jeff"},{"speaker":"YS Chi","startTime":51.99,"endTime":56.37,"body":"Reihl the CTO at LexisNexis"},{"speaker":"YS Chi","startTime":51.99,"endTime":56.37,"body":"Legal \u0026 Professional. Combined,"},{"speaker":"YS Chi","startTime":56.79,"endTime":63.27,"body":"they have over 60 years at RELX"},{"speaker":"YS Chi","startTime":56.79,"endTime":63.27,"body":"and I am barely above that"},{"speaker":"YS Chi","startTime":63.27,"endTime":69.69,"body":"average. So as we start as"},{"speaker":"YS Chi","startTime":63.27,"endTime":69.69,"body":"always, I like to ask you to"},{"speaker":"YS Chi","startTime":69.735,"endTime":72.795,"body":"each provide a very brief,"},{"speaker":"YS Chi","startTime":69.735,"endTime":72.795,"body":"personal and professional"},{"speaker":"YS Chi","startTime":72.795,"endTime":77.055,"body":"background for the audience,"},{"speaker":"YS Chi","startTime":72.795,"endTime":77.055,"body":"please. So why don't we start"},{"speaker":"Vijay Raghavan","startTime":77.0,"endTime":80.18,"body":"Sure. Thank you,"},{"speaker":"Vijay Raghavan","startTime":77.0,"endTime":80.18,"body":"YS. Thank you for having me on."},{"speaker":"Vijay Raghavan","startTime":77.055,"endTime":77.595,"body":"with Vijay?"},{"speaker":"Vijay Raghavan","startTime":80.18,"endTime":84.98,"body":"I've been with the company for"},{"speaker":"Vijay Raghavan","startTime":80.18,"endTime":84.98,"body":"23 years now, joined as part of"},{"speaker":"Vijay Raghavan","startTime":84.98,"endTime":88.4,"body":"the ChoicePoint organisation,"},{"speaker":"Vijay Raghavan","startTime":84.98,"endTime":88.4,"body":"which was acquired by RELX and"},{"speaker":"Vijay Raghavan","startTime":88.4,"endTime":92.96,"body":"LexisNexis back in 2008. Became"},{"speaker":"Vijay Raghavan","startTime":88.4,"endTime":92.96,"body":"the CTO back in 2012 so I've"},{"speaker":"Vijay Raghavan","startTime":92.96,"endTime":95.78,"body":"been on the soul for 13 years"},{"speaker":"Vijay Raghavan","startTime":92.96,"endTime":95.78,"body":"now. Probably some kind of a law"},{"speaker":"Vijay Raghavan","startTime":95.78,"endTime":97.16,"body":"against that in some parts of"},{"speaker":"Vijay Raghavan","startTime":95.78,"endTime":97.16,"body":"the..."},{"speaker":"YS Chi","startTime":96.98,"endTime":100.88,"body":"None whatsoever. We can"},{"speaker":"YS Chi","startTime":96.98,"endTime":100.88,"body":"add another zero to it Vijay."},{"speaker":"Jill Luber","startTime":105.7,"endTime":110.26,"body":"Yeah, hi. Thanks for"},{"speaker":"Jill Luber","startTime":105.7,"endTime":110.26,"body":"inviting me. Jill Luber, I've"},{"speaker":"Jill Luber","startTime":110.26,"endTime":117.28,"body":"been with RELX for 22 years. I"},{"speaker":"Jill Luber","startTime":110.26,"endTime":117.28,"body":"started with Risk Solutions, and"},{"speaker":"Jill Luber","startTime":117.28,"endTime":121.0,"body":"I was part of an acquisition as"},{"speaker":"Jill Luber","startTime":117.28,"endTime":121.0,"body":"well. I was part of Size It,"},{"speaker":"Jill Luber","startTime":121.3,"endTime":126.16,"body":"which was a company that we"},{"speaker":"Jill Luber","startTime":121.3,"endTime":126.16,"body":"acquired in 2003 out of South"},{"speaker":"Jill Luber","startTime":126.16,"endTime":129.445,"body":"Florida. It's the company that"},{"speaker":"Jill Luber","startTime":126.16,"endTime":129.445,"body":"was responsible for creating the"},{"speaker":"Jill Luber","startTime":129.445,"endTime":135.385,"body":"HPCC Big Data platform. And so"},{"speaker":"Jill Luber","startTime":129.445,"endTime":135.385,"body":"part of that acquisition started"},{"speaker":"Jill Luber","startTime":135.385,"endTime":140.365,"body":"as a data engineer back then,"},{"speaker":"Jill Luber","startTime":135.385,"endTime":140.365,"body":"and was part of Risk for 18"},{"speaker":"Jill Luber","startTime":140.365,"endTime":146.245,"body":"years and worked actually under"},{"speaker":"Jill Luber","startTime":140.365,"endTime":146.245,"body":"Vijay for about 10 as his direct"},{"speaker":"Jill Luber","startTime":146.245,"endTime":150.145,"body":"report, and then had the"},{"speaker":"Jill Luber","startTime":146.245,"endTime":150.145,"body":"opportunity to join Elsevier as"},{"speaker":"Jill Luber","startTime":150.145,"endTime":155.11,"body":"their CTO in 2022. So, little"},{"speaker":"Jill Luber","startTime":150.145,"endTime":155.11,"body":"more than three and a half years"},{"speaker":"Jill Luber","startTime":155.17,"endTime":156.73,"body":"I've in role here."},{"speaker":"YS Chi","startTime":157.1,"endTime":160.34,"body":"Great and Jeff, way out"},{"speaker":"YS Chi","startTime":157.1,"endTime":160.34,"body":"on the west."},{"speaker":"Jeff Reihl","startTime":161.44,"endTime":165.4,"body":"Sure, I'm Jeff"},{"speaker":"Jeff Reihl","startTime":161.44,"endTime":165.4,"body":"Reihl. I'm the CTO for Lexis,"},{"speaker":"Jeff Reihl","startTime":165.4,"endTime":171.22,"body":"and been with the company for 18"},{"speaker":"Jeff Reihl","startTime":165.4,"endTime":171.22,"body":"years. I actually was hired by"},{"speaker":"Jeff Reihl","startTime":171.22,"endTime":175.42,"body":"Mike Walsh, running US"},{"speaker":"Jeff Reihl","startTime":171.22,"endTime":175.42,"body":"editorial. Even though I have a"},{"speaker":"Jeff Reihl","startTime":175.42,"endTime":178.48,"body":"technical background, I was"},{"speaker":"Jeff Reihl","startTime":175.42,"endTime":178.48,"body":"running the editorial"},{"speaker":"Jeff Reihl","startTime":178.48,"endTime":182.44,"body":"organisation, but quickly moved"},{"speaker":"Jeff Reihl","startTime":178.48,"endTime":182.44,"body":"into the technology"},{"speaker":"Jeff Reihl","startTime":182.5,"endTime":186.325,"body":"organisation, as we knew we"},{"speaker":"Jeff Reihl","startTime":182.5,"endTime":186.325,"body":"needed to invest a lot in that"},{"speaker":"Jeff Reihl","startTime":186.325,"endTime":192.265,"body":"area. I've been in this role for"},{"speaker":"Jeff Reihl","startTime":186.325,"endTime":192.265,"body":"over a dozen years as the global"},{"speaker":"Jeff Reihl","startTime":192.265,"endTime":192.625,"body":"CTO."},{"speaker":"YS Chi","startTime":193.62,"endTime":195.78,"body":"All three of you have"},{"speaker":"YS Chi","startTime":193.62,"endTime":195.78,"body":"really interesting background,"},{"speaker":"YS Chi","startTime":195.78,"endTime":198.54,"body":"but unfortunately for this"},{"speaker":"YS Chi","startTime":195.78,"endTime":198.54,"body":"session, we can't delve into it"},{"speaker":"YS Chi","startTime":198.54,"endTime":203.52,"body":"because we have so much to cover"},{"speaker":"YS Chi","startTime":198.54,"endTime":203.52,"body":"on this ginormous topic called"},{"speaker":"YS Chi","startTime":203.58,"endTime":208.62,"body":"AI. This has become the focal"},{"speaker":"YS Chi","startTime":203.58,"endTime":208.62,"body":"point of every conversation, no"},{"speaker":"YS Chi","startTime":208.62,"endTime":214.14,"body":"matter where you are in recent"},{"speaker":"YS Chi","startTime":208.62,"endTime":214.14,"body":"years. Yet, it's something that"},{"speaker":"YS Chi","startTime":214.14,"endTime":218.025,"body":"RELX has been focused on for"},{"speaker":"YS Chi","startTime":214.14,"endTime":218.025,"body":"well over a decade. We've been"},{"speaker":"YS Chi","startTime":218.025,"endTime":222.345,"body":"using extractive AI and more"},{"speaker":"YS Chi","startTime":218.025,"endTime":222.345,"body":"recently embraced generative AI"},{"speaker":"YS Chi","startTime":222.765,"endTime":227.205,"body":"and agentic AI, and going on to"},{"speaker":"YS Chi","startTime":222.765,"endTime":227.205,"body":"other stuff which I cannot name"},{"speaker":"YS Chi","startTime":227.205,"endTime":231.945,"body":"all, which you will later on. I"},{"speaker":"YS Chi","startTime":227.205,"endTime":231.945,"body":"believe we now have over 13"},{"speaker":"YS Chi","startTime":232.005,"endTime":234.585,"body":"commercially available"},{"speaker":"YS Chi","startTime":232.005,"endTime":234.585,"body":"generative AI products across"},{"speaker":"YS Chi","startTime":234.585,"endTime":241.065,"body":"the group. I'd like to start by"},{"speaker":"YS Chi","startTime":234.585,"endTime":241.065,"body":"talking about extractive AI."},{"speaker":"YS Chi","startTime":241.95,"endTime":246.15,"body":"Vijay, can you explain, how does"},{"speaker":"YS Chi","startTime":241.95,"endTime":246.15,"body":"that work and why does it matter"},{"speaker":"YS Chi","startTime":246.15,"endTime":249.21,"body":"to everything that we've been"},{"speaker":"YS Chi","startTime":246.15,"endTime":249.21,"body":"doing since, and the things that"},{"speaker":"YS Chi","startTime":249.21,"endTime":250.11,"body":"are ahead of us?"},{"speaker":"Vijay Raghavan","startTime":251.98,"endTime":255.7,"body":"Yeah, it's a"},{"speaker":"Vijay Raghavan","startTime":251.98,"endTime":255.7,"body":"great context setting YS. We"},{"speaker":"Vijay Raghavan","startTime":255.7,"endTime":258.82,"body":"have a long history, as you"},{"speaker":"Vijay Raghavan","startTime":255.7,"endTime":258.82,"body":"know, at RELX, with big data and"},{"speaker":"Vijay Raghavan","startTime":258.82,"endTime":262.0,"body":"AI and machine learning. One of"},{"speaker":"Vijay Raghavan","startTime":258.82,"endTime":262.0,"body":"the things we like to say is"},{"speaker":"Vijay Raghavan","startTime":262.0,"endTime":264.58,"body":"that we were big data before big"},{"speaker":"Vijay Raghavan","startTime":262.0,"endTime":264.58,"body":"data was cool, and we say that"},{"speaker":"Vijay Raghavan","startTime":264.58,"endTime":267.76,"body":"without a trace of arrogance."},{"speaker":"Vijay Raghavan","startTime":264.58,"endTime":267.76,"body":"But at the same time, we"},{"speaker":"Vijay Raghavan","startTime":267.76,"endTime":271.48,"body":"recognise that big data is not"},{"speaker":"Vijay Raghavan","startTime":267.76,"endTime":271.48,"body":"an end in and of itself. It's"},{"speaker":"Vijay Raghavan","startTime":271.48,"endTime":275.365,"body":"basically, the point is to get"},{"speaker":"Vijay Raghavan","startTime":271.48,"endTime":275.365,"body":"the small, actionable data, and"},{"speaker":"Vijay Raghavan","startTime":275.365,"endTime":277.825,"body":"that's central to how we"},{"speaker":"Vijay Raghavan","startTime":275.365,"endTime":277.825,"body":"leverage technology at RELX,"},{"speaker":"Vijay Raghavan","startTime":277.945,"endTime":280.525,"body":"especially in the context of"},{"speaker":"Vijay Raghavan","startTime":277.945,"endTime":280.525,"body":"extractive AI, which is what we"},{"speaker":"Vijay Raghavan","startTime":280.525,"endTime":283.585,"body":"started off with. The point was"},{"speaker":"Vijay Raghavan","startTime":280.525,"endTime":283.585,"body":"to start with large, large"},{"speaker":"Vijay Raghavan","startTime":283.585,"endTime":286.345,"body":"volumes of data, very diverse"},{"speaker":"Vijay Raghavan","startTime":283.585,"endTime":286.345,"body":"data sets, very different"},{"speaker":"Vijay Raghavan","startTime":286.345,"endTime":289.165,"body":"formats, from thousands of data"},{"speaker":"Vijay Raghavan","startTime":286.345,"endTime":289.165,"body":"sources acquired at very high"},{"speaker":"Vijay Raghavan","startTime":289.165,"endTime":292.285,"body":"speeds, different kinds of"},{"speaker":"Vijay Raghavan","startTime":289.165,"endTime":292.285,"body":"cadences. And we take this data,"},{"speaker":"Vijay Raghavan","startTime":292.645,"endTime":294.925,"body":"it's unstructured, structured"},{"speaker":"Vijay Raghavan","startTime":292.645,"endTime":294.925,"body":"all over the place, and we"},{"speaker":"Vijay Raghavan","startTime":294.925,"endTime":297.85,"body":"extract the data points from the"},{"speaker":"Vijay Raghavan","startTime":294.925,"endTime":297.85,"body":"content, and we enrich the data"},{"speaker":"Vijay Raghavan","startTime":297.85,"endTime":301.09,"body":"to make it more analysable. And"},{"speaker":"Vijay Raghavan","startTime":297.85,"endTime":301.09,"body":"as a function of doing that, we"},{"speaker":"Vijay Raghavan","startTime":301.09,"endTime":303.61,"body":"employ machine learning and"},{"speaker":"Vijay Raghavan","startTime":301.09,"endTime":303.61,"body":"natural language processing and"},{"speaker":"Vijay Raghavan","startTime":303.61,"endTime":306.49,"body":"AI techniques to provide our"},{"speaker":"Vijay Raghavan","startTime":303.61,"endTime":306.49,"body":"customers the insights they need"},{"speaker":"Vijay Raghavan","startTime":306.49,"endTime":309.61,"body":"to do their jobs. So just the"},{"speaker":"Vijay Raghavan","startTime":306.49,"endTime":309.61,"body":"process of linking, for example,"},{"speaker":"Vijay Raghavan","startTime":309.61,"endTime":318.91,"body":"linking all the data together."},{"speaker":"Vijay Raghavan","startTime":309.61,"endTime":318.91,"body":"To give an example, we have 7.2"},{"speaker":"Vijay Raghavan","startTime":318.91,"endTime":319.093,"body":"billion SSMS. We don't have that"},{"speaker":"Vijay Raghavan","startTime":318.91,"endTime":319.093,"body":"many people in the United"},{"speaker":"Vijay Raghavan","startTime":319.093,"endTime":319.259,"body":"States. That's because we have a"},{"speaker":"Vijay Raghavan","startTime":319.093,"endTime":319.259,"body":"duplicity of records across"},{"speaker":"Vijay Raghavan","startTime":319.259,"endTime":321.595,"body":"multiple sources. So the point"},{"speaker":"Vijay Raghavan","startTime":319.259,"endTime":321.595,"body":"is to say these 387 records"},{"speaker":"Vijay Raghavan","startTime":321.595,"endTime":325.855,"body":"belong to Jill Luber, or these"},{"speaker":"Vijay Raghavan","startTime":321.595,"endTime":325.855,"body":"512 records belong to YS. Only"},{"speaker":"Vijay Raghavan","startTime":325.855,"endTime":328.075,"body":"if you get that right, and we"},{"speaker":"Vijay Raghavan","startTime":325.855,"endTime":328.075,"body":"use machine learning even for"},{"speaker":"Vijay Raghavan","startTime":328.075,"endTime":331.795,"body":"that. Only if you get that right"},{"speaker":"Vijay Raghavan","startTime":328.075,"endTime":331.795,"body":"are you in a position to create"},{"speaker":"Vijay Raghavan","startTime":331.855,"endTime":339.175,"body":"models and scoring models and"},{"speaker":"Vijay Raghavan","startTime":331.855,"endTime":339.175,"body":"attributes that are accurate,"},{"speaker":"Vijay Raghavan","startTime":340.135,"endTime":341.703,"body":"and that are reflective of the"},{"speaker":"Vijay Raghavan","startTime":340.135,"endTime":341.703,"body":"kinds of insights you want to"},{"speaker":"Vijay Raghavan","startTime":341.703,"endTime":341.859,"body":"give our customers. So in the"},{"speaker":"Vijay Raghavan","startTime":341.703,"endTime":341.859,"body":"end, to answer your question"},{"speaker":"Vijay Raghavan","startTime":341.859,"endTime":342.015,"body":"about extractive AI, the idea is"},{"speaker":"Vijay Raghavan","startTime":341.859,"endTime":342.015,"body":"whether, in all the different"},{"speaker":"Vijay Raghavan","startTime":342.015,"endTime":345.04,"body":"facets of solutions we offer"},{"speaker":"Vijay Raghavan","startTime":342.015,"endTime":345.04,"body":"customers, whether it's a"},{"speaker":"Vijay Raghavan","startTime":345.1,"endTime":348.7,"body":"university benchmarking its"},{"speaker":"Vijay Raghavan","startTime":345.1,"endTime":348.7,"body":"performance, or a doctor trying"},{"speaker":"Vijay Raghavan","startTime":348.7,"endTime":351.94,"body":"to decide the best way to treat"},{"speaker":"Vijay Raghavan","startTime":348.7,"endTime":351.94,"body":"a patient, or in Jeff's case, a"},{"speaker":"Vijay Raghavan","startTime":351.94,"endTime":355.24,"body":"litigator trying to determine"},{"speaker":"Vijay Raghavan","startTime":351.94,"endTime":355.24,"body":"whether to take a case to court,"},{"speaker":"Vijay Raghavan","startTime":355.72,"endTime":359.14,"body":"or in my business, an insurance"},{"speaker":"Vijay Raghavan","startTime":355.72,"endTime":359.14,"body":"underwriter trying to assess the"},{"speaker":"Vijay Raghavan","startTime":359.14,"endTime":361.24,"body":"likelihood of a claim or"},{"speaker":"Vijay Raghavan","startTime":359.14,"endTime":361.24,"body":"determining the insurance"},{"speaker":"Vijay Raghavan","startTime":361.24,"endTime":364.3,"body":"premium. All that involves"},{"speaker":"Vijay Raghavan","startTime":361.24,"endTime":364.3,"body":"machine learning or some form of"},{"speaker":"Vijay Raghavan","startTime":364.36,"endTime":366.745,"body":"AI for us to bring the right"},{"speaker":"Vijay Raghavan","startTime":364.36,"endTime":366.745,"body":"kinds of solutions to our"},{"speaker":"Vijay Raghavan","startTime":366.745,"endTime":370.225,"body":"customers, to help them. In my"},{"speaker":"Vijay Raghavan","startTime":366.745,"endTime":370.225,"body":"case, to help our customers"},{"speaker":"Vijay Raghavan","startTime":370.225,"endTime":372.505,"body":"reduce the risk of doing"},{"speaker":"Vijay Raghavan","startTime":370.225,"endTime":372.505,"body":"business with their customers."},{"speaker":"YS Chi","startTime":373.405,"endTime":376.525,"body":"So you talk about how"},{"speaker":"YS Chi","startTime":373.405,"endTime":376.525,"body":"there are all these data sets"},{"speaker":"YS Chi","startTime":376.525,"endTime":381.025,"body":"all over the world, and you are"},{"speaker":"YS Chi","startTime":376.525,"endTime":381.025,"body":"finding relationships between"},{"speaker":"YS Chi","startTime":381.025,"endTime":384.925,"body":"them. Is that a simple way of"},{"speaker":"YS Chi","startTime":381.025,"endTime":384.925,"body":"talking about how we have spent"},{"speaker":"YS Chi","startTime":384.925,"endTime":388.165,"body":"the past dozen years or so or"},{"speaker":"YS Chi","startTime":384.925,"endTime":388.165,"body":"more trying to perfect?"},{"speaker":"Vijay Raghavan","startTime":388.0,"endTime":389.68,"body":"Yeah, the very"},{"speaker":"Vijay Raghavan","startTime":388.0,"endTime":389.68,"body":"first step is, later I'm sure"},{"speaker":"Vijay Raghavan","startTime":389.68,"endTime":391.9,"body":"we'll be talking about"},{"speaker":"Vijay Raghavan","startTime":389.68,"endTime":391.9,"body":"responsible AI, right? But the"},{"speaker":"Vijay Raghavan","startTime":391.96,"endTime":400.66,"body":"very first step, even before we"},{"speaker":"Vijay Raghavan","startTime":391.96,"endTime":400.66,"body":"get to that point, is to go very"},{"speaker":"Vijay Raghavan","startTime":400.66,"endTime":404.08,"body":"broad and deep in collecting"},{"speaker":"Vijay Raghavan","startTime":400.66,"endTime":404.08,"body":"accurate datasets. We're very"},{"speaker":"Vijay Raghavan","startTime":404.26,"endTime":410.705,"body":"particular about the provenance"},{"speaker":"Vijay Raghavan","startTime":404.26,"endTime":410.705,"body":"of the data that we get. We're"},{"speaker":"Vijay Raghavan","startTime":410.705,"endTime":410.766,"body":"very particular about making"},{"speaker":"Vijay Raghavan","startTime":410.705,"endTime":410.766,"body":"sure we collect the right kinds"},{"speaker":"Vijay Raghavan","startTime":410.766,"endTime":410.828,"body":"of data. For example, just"},{"speaker":"Vijay Raghavan","startTime":410.766,"endTime":410.828,"body":"because the data is convenient"},{"speaker":"Vijay Raghavan","startTime":410.828,"endTime":410.902,"body":"to get in three counties in the"},{"speaker":"Vijay Raghavan","startTime":410.828,"endTime":410.902,"body":"state, but not convenient. Well,"},{"speaker":"Vijay Raghavan","startTime":410.902,"endTime":410.976,"body":"that's not good enough. You've"},{"speaker":"Vijay Raghavan","startTime":410.902,"endTime":410.976,"body":"got to get it from every single"},{"speaker":"Vijay Raghavan","startTime":410.976,"endTime":412.885,"body":"county to make sure the data is"},{"speaker":"Vijay Raghavan","startTime":410.976,"endTime":412.885,"body":"representative. Once we get the"},{"speaker":"Vijay Raghavan","startTime":412.885,"endTime":417.265,"body":"data, then, of course, what you"},{"speaker":"Vijay Raghavan","startTime":412.885,"endTime":417.265,"body":"say is absolutely true. We've"},{"speaker":"Vijay Raghavan","startTime":417.265,"endTime":425.665,"body":"got to make sure that the"},{"speaker":"Vijay Raghavan","startTime":417.265,"endTime":425.665,"body":"linkages between the data is as"},{"speaker":"Vijay Raghavan","startTime":425.665,"endTime":428.125,"body":"accurate. We use these terms"},{"speaker":"Vijay Raghavan","startTime":425.665,"endTime":428.125,"body":"called precision and recall,"},{"speaker":"Vijay Raghavan","startTime":428.125,"endTime":430.465,"body":"which Jill is very familiar"},{"speaker":"Vijay Raghavan","startTime":428.125,"endTime":430.465,"body":"with, because she lived and"},{"speaker":"Vijay Raghavan","startTime":430.465,"endTime":434.005,"body":"breathed that world for better"},{"speaker":"Vijay Raghavan","startTime":430.465,"endTime":434.005,"body":"part of 15 years, probably. But"},{"speaker":"Vijay Raghavan","startTime":434.065,"endTime":436.63,"body":"getting the data to be as"},{"speaker":"Vijay Raghavan","startTime":434.065,"endTime":436.63,"body":"complete as possible, linking it"},{"speaker":"Vijay Raghavan","startTime":436.63,"endTime":439.57,"body":"very completely and linking it"},{"speaker":"Vijay Raghavan","startTime":436.63,"endTime":439.57,"body":"very accurately is our bread and"},{"speaker":"YS Chi","startTime":439.56,"endTime":443.844,"body":"I see we're going to get"},{"speaker":"YS Chi","startTime":439.56,"endTime":443.844,"body":"back to that, because there's a"},{"speaker":"YS Chi","startTime":439.57,"endTime":439.81,"body":"butter."},{"speaker":"YS Chi","startTime":443.92,"endTime":448.74,"body":"concept later on that I want to"},{"speaker":"YS Chi","startTime":443.92,"endTime":448.74,"body":"talk about called trust. Let me"},{"speaker":"YS Chi","startTime":448.817,"endTime":453.56,"body":"jump right now though to Jeff"},{"speaker":"YS Chi","startTime":448.817,"endTime":453.56,"body":"and ask, how does all this stuff"},{"speaker":"YS Chi","startTime":453.637,"endTime":458.227,"body":"work in your domain? And Jill"},{"speaker":"YS Chi","startTime":453.637,"endTime":458.227,"body":"after that, how does that work"},{"speaker":"YS Chi","startTime":458.304,"endTime":462.971,"body":"in your new domain? I ask this"},{"speaker":"YS Chi","startTime":458.304,"endTime":462.971,"body":"because all of this is useless"},{"speaker":"YS Chi","startTime":463.047,"endTime":466.72,"body":"unless there is an application."},{"speaker":"YS Chi","startTime":463.047,"endTime":466.72,"body":"So please, Jeff."},{"speaker":"Jeff Reihl","startTime":467.8,"endTime":471.82,"body":"Sure. I'll jump in."},{"speaker":"Jeff Reihl","startTime":467.8,"endTime":471.82,"body":"So, as Vijay mentioned, we've"},{"speaker":"Jeff Reihl","startTime":471.82,"endTime":476.08,"body":"been working with AI"},{"speaker":"Jeff Reihl","startTime":471.82,"endTime":476.08,"body":"technologies for many, many"},{"speaker":"Jeff Reihl","startTime":476.08,"endTime":480.64,"body":"years, and a lot of that started"},{"speaker":"Jeff Reihl","startTime":476.08,"endTime":480.64,"body":"out in using simple NLP, natural"},{"speaker":"Jeff Reihl","startTime":480.64,"endTime":484.36,"body":"language processing, and then"},{"speaker":"Jeff Reihl","startTime":480.64,"endTime":484.36,"body":"more detailed machine learning,"},{"speaker":"Jeff Reihl","startTime":484.36,"endTime":489.28,"body":"deep learning algorithms. As you"},{"speaker":"Jeff Reihl","startTime":484.36,"endTime":489.28,"body":"mentioned, YS, we started out"},{"speaker":"Jeff Reihl","startTime":489.28,"endTime":493.465,"body":"with extractive AI, which in our"},{"speaker":"Jeff Reihl","startTime":489.28,"endTime":493.465,"body":"world it's taking a case,"},{"speaker":"Jeff Reihl","startTime":493.525,"endTime":497.725,"body":"identifying the attorneys, the"},{"speaker":"Jeff Reihl","startTime":493.525,"endTime":497.725,"body":"law firms, the judge, the legal"},{"speaker":"Jeff Reihl","startTime":497.725,"endTime":501.925,"body":"topics, and doing that in an"},{"speaker":"Jeff Reihl","startTime":497.725,"endTime":501.925,"body":"automated way using these AI"},{"speaker":"Jeff Reihl","startTime":501.925,"endTime":506.845,"body":"tools. As we went further along,"},{"speaker":"Jeff Reihl","startTime":501.925,"endTime":506.845,"body":"the deep learning algorithms got"},{"speaker":"Jeff Reihl","startTime":506.845,"endTime":509.905,"body":"even more sophisticated, and one"},{"speaker":"Jeff Reihl","startTime":506.845,"endTime":509.905,"body":"thing a lot of people may not"},{"speaker":"Jeff Reihl","startTime":509.905,"endTime":514.93,"body":"know is we were actually using"},{"speaker":"Jeff Reihl","startTime":509.905,"endTime":514.93,"body":"GPT-3 before get ChatGPT came"},{"speaker":"Jeff Reihl","startTime":514.93,"endTime":519.85,"body":"out. So, we had GPT-3 integrated"},{"speaker":"Jeff Reihl","startTime":514.93,"endTime":519.85,"body":"into our product before the"},{"speaker":"Jeff Reihl","startTime":519.85,"endTime":526.33,"body":"whole ChatGPT application came"},{"speaker":"Jeff Reihl","startTime":519.85,"endTime":526.33,"body":"out, but when that came out,"},{"speaker":"Jeff Reihl","startTime":526.63,"endTime":530.35,"body":"that was a game changer. We had"},{"speaker":"Jeff Reihl","startTime":526.63,"endTime":530.35,"body":"to step back, because all of a"},{"speaker":"Jeff Reihl","startTime":530.35,"endTime":534.13,"body":"sudden the generative"},{"speaker":"Jeff Reihl","startTime":530.35,"endTime":534.13,"body":"capabilities, the ability to"},{"speaker":"Jeff Reihl","startTime":534.13,"endTime":538.195,"body":"create a document or to"},{"speaker":"Jeff Reihl","startTime":534.13,"endTime":538.195,"body":"summarise a document for the"},{"speaker":"Jeff Reihl","startTime":538.195,"endTime":544.135,"body":"legal industry, was a game"},{"speaker":"Jeff Reihl","startTime":538.195,"endTime":544.135,"body":"changer. What we discovered was,"},{"speaker":"Jeff Reihl","startTime":544.255,"endTime":549.895,"body":"prior to ChatGPT coming out, a"},{"speaker":"Jeff Reihl","startTime":544.255,"endTime":549.895,"body":"lot of legal professionals were"},{"speaker":"Jeff Reihl","startTime":549.895,"endTime":554.755,"body":"not what you would consider"},{"speaker":"Jeff Reihl","startTime":549.895,"endTime":554.755,"body":"early adopters of technology. In"},{"speaker":"Jeff Reihl","startTime":554.755,"endTime":558.4,"body":"fact, they were oftentimes"},{"speaker":"Jeff Reihl","startTime":554.755,"endTime":558.4,"body":"laggards, but in this case, when"},{"speaker":"Jeff Reihl","startTime":558.4,"endTime":563.14,"body":"they saw the capabilities of"},{"speaker":"Jeff Reihl","startTime":558.4,"endTime":563.14,"body":"ChatGPT, all of that changed. We"},{"speaker":"Jeff Reihl","startTime":563.14,"endTime":567.46,"body":"did a very quick pivot as an"},{"speaker":"Jeff Reihl","startTime":563.14,"endTime":567.46,"body":"organisation to really shift our"},{"speaker":"Jeff Reihl","startTime":567.46,"endTime":571.3,"body":"resources towards this"},{"speaker":"Jeff Reihl","startTime":567.46,"endTime":571.3,"body":"opportunity, because it was a"},{"speaker":"Jeff Reihl","startTime":571.3,"endTime":576.1,"body":"big one, and we quickly"},{"speaker":"Jeff Reihl","startTime":571.3,"endTime":576.1,"body":"identified four use cases that"},{"speaker":"Jeff Reihl","startTime":576.22,"endTime":579.1,"body":"made sense for our customers. We"},{"speaker":"Jeff Reihl","startTime":576.22,"endTime":579.1,"body":"are working extremely closely"},{"speaker":"Jeff Reihl","startTime":579.1,"endTime":583.105,"body":"with customers, get feedback on"},{"speaker":"Jeff Reihl","startTime":579.1,"endTime":583.105,"body":"that, we reassigned our best"},{"speaker":"Jeff Reihl","startTime":583.105,"endTime":587.185,"body":"data scientists from other teams"},{"speaker":"Jeff Reihl","startTime":583.105,"endTime":587.185,"body":"to focus on this opportunity,"},{"speaker":"Jeff Reihl","startTime":587.665,"endTime":594.025,"body":"and by October of 2023, we were"},{"speaker":"Jeff Reihl","startTime":587.665,"endTime":594.025,"body":"ready to launch our first AI"},{"speaker":"Jeff Reihl","startTime":594.025,"endTime":598.525,"body":"product, which was very, very"},{"speaker":"Jeff Reihl","startTime":594.025,"endTime":598.525,"body":"well received. We made an early"},{"speaker":"Jeff Reihl","startTime":598.525,"endTime":604.765,"body":"decision during that process to"},{"speaker":"Jeff Reihl","startTime":598.525,"endTime":604.765,"body":"support multiple large language"},{"speaker":"Jeff Reihl","startTime":604.765,"endTime":611.71,"body":"models. We early on had"},{"speaker":"Jeff Reihl","startTime":604.765,"endTime":611.71,"body":"relationships with anthropic,"},{"speaker":"Jeff Reihl","startTime":611.95,"endTime":617.59,"body":"with AWS Bedrock, with Microsoft"},{"speaker":"Jeff Reihl","startTime":611.95,"endTime":617.59,"body":"to host the open AI models."},{"speaker":"Jeff Reihl","startTime":618.01,"endTime":621.37,"body":"Since then, we've even expanded"},{"speaker":"Jeff Reihl","startTime":618.01,"endTime":621.37,"body":"to other models, including"},{"speaker":"Jeff Reihl","startTime":621.61,"endTime":625.69,"body":"working with OpenAI directly the"},{"speaker":"Jeff Reihl","startTime":621.61,"endTime":625.69,"body":"Mistral models. And so we're"},{"speaker":"Jeff Reihl","startTime":625.69,"endTime":629.215,"body":"also hosting directly through"},{"speaker":"Jeff Reihl","startTime":625.69,"endTime":629.215,"body":"Anthropic, so we've been very"},{"speaker":"Jeff Reihl","startTime":629.215,"endTime":632.875,"body":"adaptive. Use the best"},{"speaker":"Jeff Reihl","startTime":629.215,"endTime":632.875,"body":"technology, the best large"},{"speaker":"Jeff Reihl","startTime":632.875,"endTime":636.535,"body":"language model to support the"},{"speaker":"Jeff Reihl","startTime":632.875,"endTime":636.535,"body":"use case, at the best"},{"speaker":"Jeff Reihl","startTime":636.535,"endTime":641.275,"body":"performance and the best price."},{"speaker":"Jeff Reihl","startTime":636.535,"endTime":641.275,"body":"We've had to set up an"},{"speaker":"Jeff Reihl","startTime":641.275,"endTime":645.355,"body":"infrastructure that will allow"},{"speaker":"Jeff Reihl","startTime":641.275,"endTime":645.355,"body":"us to quickly adopt new"},{"speaker":"Jeff Reihl","startTime":645.355,"endTime":648.655,"body":"technologies. New models are"},{"speaker":"Jeff Reihl","startTime":645.355,"endTime":648.655,"body":"coming out all the time, and to"},{"speaker":"Jeff Reihl","startTime":648.655,"endTime":651.58,"body":"be able to test those in an"},{"speaker":"Jeff Reihl","startTime":648.655,"endTime":651.58,"body":"automated way. But in the end,"},{"speaker":"Jeff Reihl","startTime":651.58,"endTime":656.08,"body":"have legal professionals, humans"},{"speaker":"Jeff Reihl","startTime":651.58,"endTime":656.08,"body":"in the loop to make sure that"},{"speaker":"Jeff Reihl","startTime":656.08,"endTime":659.68,"body":"the quality is appropriate for"},{"speaker":"Jeff Reihl","startTime":656.08,"endTime":659.68,"body":"our customers before we would"},{"speaker":"Jeff Reihl","startTime":659.68,"endTime":662.98,"body":"release any product. But it's"},{"speaker":"Jeff Reihl","startTime":659.68,"endTime":662.98,"body":"having a significant impact in"},{"speaker":"Jeff Reihl","startTime":662.98,"endTime":665.86,"body":"the legal market because of the"},{"speaker":"Jeff Reihl","startTime":662.98,"endTime":665.86,"body":"huge opportunity it presents."},{"speaker":"YS Chi","startTime":666.4,"endTime":669.16,"body":"That speed element you"},{"speaker":"YS Chi","startTime":666.4,"endTime":669.16,"body":"were talking about is not"},{"speaker":"YS Chi","startTime":669.16,"endTime":675.565,"body":"something that LexisNexis Legal"},{"speaker":"YS Chi","startTime":669.16,"endTime":675.565,"body":"was reputed for in the past. So,"},{"speaker":"YS Chi","startTime":675.565,"endTime":679.045,"body":"it's a nice thing to hear about."},{"speaker":"YS Chi","startTime":675.565,"endTime":679.045,"body":"Let me jump to Jill, and then"},{"speaker":"YS Chi","startTime":679.045,"endTime":681.325,"body":"I'm going to come back to two"},{"speaker":"YS Chi","startTime":679.045,"endTime":681.325,"body":"myths that I have been carrying,"},{"speaker":"YS Chi","startTime":681.325,"endTime":684.745,"body":"and I've been torturing Vijay"},{"speaker":"YS Chi","startTime":681.325,"endTime":684.745,"body":"from time to time to challenge"},{"speaker":"YS Chi","startTime":684.745,"endTime":687.685,"body":"him. But Jill go ahead and tell"},{"speaker":"YS Chi","startTime":684.745,"endTime":687.685,"body":"us about Elsevier case."},{"speaker":"Jill Luber","startTime":687.68,"endTime":691.115,"body":"Sure. Yep. Elsevier"},{"speaker":"Jill Luber","startTime":687.68,"endTime":691.115,"body":"is a bit different from Risk and"},{"speaker":"Jill Luber","startTime":691.181,"endTime":694.815,"body":"the LexisNexis Legal \u0026"},{"speaker":"Jill Luber","startTime":691.181,"endTime":694.815,"body":"Professional organisations in as"},{"speaker":"Jill Luber","startTime":694.881,"endTime":698.449,"body":"much as our content is not"},{"speaker":"Jill Luber","startTime":694.881,"endTime":698.449,"body":"readily available. It's not"},{"speaker":"Jill Luber","startTime":698.515,"endTime":702.017,"body":"public information. It is"},{"speaker":"Jill Luber","startTime":698.515,"endTime":702.017,"body":"research that has been peer"},{"speaker":"Jill Luber","startTime":702.083,"endTime":705.584,"body":"reviewed, and a lot of our"},{"speaker":"Jill Luber","startTime":702.083,"endTime":705.584,"body":"research is only available"},{"speaker":"Jill Luber","startTime":705.651,"endTime":709.813,"body":"through Elsevier's products. But"},{"speaker":"Jill Luber","startTime":705.651,"endTime":709.813,"body":"we have found, especially with"},{"speaker":"Jill Luber","startTime":709.879,"endTime":713.645,"body":"generative AI, that's not"},{"speaker":"Jill Luber","startTime":709.879,"endTime":713.645,"body":"enough. It's not enough to just"},{"speaker":"Jill Luber","startTime":713.711,"endTime":717.543,"body":"have the content and have this"},{"speaker":"Jill Luber","startTime":713.711,"endTime":717.543,"body":"very unique, curated set of"},{"speaker":"Jill Luber","startTime":717.609,"endTime":721.64,"body":"content. We need to do more for"},{"speaker":"Jill Luber","startTime":717.609,"endTime":721.64,"body":"our users. We need to do more"},{"speaker":"Jill Luber","startTime":721.706,"endTime":725.604,"body":"for our researchers. We need to"},{"speaker":"Jill Luber","startTime":721.706,"endTime":725.604,"body":"do more for our clinicians."},{"speaker":"Jill Luber","startTime":725.67,"endTime":729.105,"body":"Right on the heels of"},{"speaker":"Jill Luber","startTime":725.67,"endTime":729.105,"body":"LexisNexis, and in fact, using"},{"speaker":"Jill Luber","startTime":729.171,"endTime":733.07,"body":"some of the lessons they've"},{"speaker":"Jill Luber","startTime":729.171,"endTime":733.07,"body":"already learned and some of the"},{"speaker":"Jill Luber","startTime":733.136,"endTime":737.364,"body":"technology that they were so, so"},{"speaker":"Jill Luber","startTime":733.136,"endTime":737.364,"body":"gracious to burn the trails for"},{"speaker":"Jill Luber","startTime":737.43,"endTime":741.13,"body":"us, we could take some of their"},{"speaker":"Jill Luber","startTime":737.43,"endTime":741.13,"body":"learnings and create new"},{"speaker":"Jill Luber","startTime":741.196,"endTime":745.293,"body":"offerings for our customers as"},{"speaker":"Jill Luber","startTime":741.196,"endTime":745.293,"body":"well. The first two off the bat"},{"speaker":"Jill Luber","startTime":745.359,"endTime":749.323,"body":"were ClinicalKey AI, which is in"},{"speaker":"Jill Luber","startTime":745.359,"endTime":749.323,"body":"our healthcare division for"},{"speaker":"Jill Luber","startTime":749.389,"endTime":753.353,"body":"clinicians. Now, it has two"},{"speaker":"Jill Luber","startTime":749.389,"endTime":753.353,"body":"purposes, one being you can look"},{"speaker":"Jill Luber","startTime":753.419,"endTime":757.317,"body":"into some of the literature and"},{"speaker":"Jill Luber","startTime":753.419,"endTime":757.317,"body":"the research in the medical"},{"speaker":"Jill Luber","startTime":757.383,"endTime":761.48,"body":"world and make more sense of it"},{"speaker":"Jill Luber","startTime":757.383,"endTime":761.48,"body":"faster. But there's also point"},{"speaker":"Jill Luber","startTime":761.546,"endTime":765.642,"body":"of care, and that point of care"},{"speaker":"Jill Luber","startTime":761.546,"endTime":765.642,"body":"solution is one that is really"},{"speaker":"Jill Luber","startTime":765.708,"endTime":769.871,"body":"revolutionary, because you can"},{"speaker":"Jill Luber","startTime":765.708,"endTime":769.871,"body":"imagine the amount of literature"},{"speaker":"Jill Luber","startTime":769.937,"endTime":774.165,"body":"that exists in the medical world"},{"speaker":"Jill Luber","startTime":769.937,"endTime":774.165,"body":"and new methods, new medicines,"},{"speaker":"Jill Luber","startTime":774.231,"endTime":778.262,"body":"new ways to diagnose, and for a"},{"speaker":"Jill Luber","startTime":774.231,"endTime":778.262,"body":"clinician to really dive into"},{"speaker":"Jill Luber","startTime":778.328,"endTime":782.556,"body":"all of that, they would have to"},{"speaker":"Jill Luber","startTime":778.328,"endTime":782.556,"body":"do it offline. They'd have to do"},{"speaker":"Jill Luber","startTime":782.622,"endTime":786.719,"body":"it after hours, after they've"},{"speaker":"Jill Luber","startTime":782.622,"endTime":786.719,"body":"finished their patient load, and"},{"speaker":"Jill Luber","startTime":786.785,"endTime":790.881,"body":"then go back to the patient with"},{"speaker":"Jill Luber","startTime":786.785,"endTime":790.881,"body":"more information. This allows"},{"speaker":"Jill Luber","startTime":790.947,"endTime":794.911,"body":"them to really dive into that,"},{"speaker":"Jill Luber","startTime":790.947,"endTime":794.911,"body":"at the point of care, so they"},{"speaker":"Jill Luber","startTime":794.977,"endTime":798.941,"body":"can have a more interactive"},{"speaker":"Jill Luber","startTime":794.977,"endTime":798.941,"body":"conversation with their patient,"},{"speaker":"Jill Luber","startTime":799.008,"endTime":802.377,"body":"using the literature as the"},{"speaker":"Jill Luber","startTime":799.008,"endTime":802.377,"body":"background, and in that"},{"speaker":"Jill Luber","startTime":802.443,"endTime":806.011,"body":"solution, accuracy is so"},{"speaker":"Jill Luber","startTime":802.443,"endTime":806.011,"body":"important. Vijay talked about"},{"speaker":"Jill Luber","startTime":806.077,"endTime":810.107,"body":"precision and recall, and so"},{"speaker":"Jill Luber","startTime":806.077,"endTime":810.107,"body":"we've done a lot of work to make"},{"speaker":"Jill Luber","startTime":810.173,"endTime":813.939,"body":"sure that our responses, and we"},{"speaker":"Jill Luber","startTime":810.173,"endTime":813.939,"body":"talked a little bit about"},{"speaker":"Jill Luber","startTime":814.005,"endTime":817.573,"body":"responsibility already, but"},{"speaker":"Jill Luber","startTime":814.005,"endTime":817.573,"body":"there's a lot of different"},{"speaker":"Jill Luber","startTime":817.639,"endTime":821.604,"body":"dimensions of responsible AI,"},{"speaker":"Jill Luber","startTime":817.639,"endTime":821.604,"body":"and one that's super important"},{"speaker":"Jill Luber","startTime":821.67,"endTime":825.766,"body":"in this space is to do no harm."},{"speaker":"Jill Luber","startTime":821.67,"endTime":825.766,"body":"We have a way to measure them,"},{"speaker":"Jill Luber","startTime":825.832,"endTime":829.994,"body":"and we use doctors. We actually"},{"speaker":"Jill Luber","startTime":825.832,"endTime":829.994,"body":"use clinicians to help us judge"},{"speaker":"Jill Luber","startTime":830.06,"endTime":834.091,"body":"whether or not our answers are"},{"speaker":"Jill Luber","startTime":830.06,"endTime":834.091,"body":"concise, are they relevant? Do"},{"speaker":"Jill Luber","startTime":834.157,"endTime":838.187,"body":"they do harm? It's something"},{"speaker":"Jill Luber","startTime":834.157,"endTime":838.187,"body":"that we stay on top of and we're"},{"speaker":"Jill Luber","startTime":838.253,"endTime":841.887,"body":"constantly monitoring in the"},{"speaker":"Jill Luber","startTime":838.253,"endTime":841.887,"body":"ClinicalKey space. We also"},{"speaker":"Jill Luber","startTime":841.953,"endTime":845.719,"body":"released in our academic"},{"speaker":"Jill Luber","startTime":841.953,"endTime":845.719,"body":"research space ScienceDirect AI."},{"speaker":"Jill Luber","startTime":845.785,"endTime":849.419,"body":"ScienceDirect is a product that"},{"speaker":"Jill Luber","startTime":845.785,"endTime":849.419,"body":"we have that will allow"},{"speaker":"Jill Luber","startTime":849.485,"endTime":852.921,"body":"researchers to dive into"},{"speaker":"Jill Luber","startTime":849.485,"endTime":852.921,"body":"research. And again, I talk"},{"speaker":"Jill Luber","startTime":852.987,"endTime":856.819,"body":"about that content that we have"},{"speaker":"Jill Luber","startTime":852.987,"endTime":856.819,"body":"that is peer reviewed. But"},{"speaker":"Jill Luber","startTime":856.885,"endTime":860.519,"body":"oftentimes these research"},{"speaker":"Jill Luber","startTime":856.885,"endTime":860.519,"body":"articles are very, very long."},{"speaker":"Jill Luber","startTime":860.585,"endTime":864.747,"body":"There's a lot of information in"},{"speaker":"Jill Luber","startTime":860.585,"endTime":864.747,"body":"them, and to really get to what"},{"speaker":"Jill Luber","startTime":864.813,"endTime":868.579,"body":"you're looking for can be"},{"speaker":"Jill Luber","startTime":864.813,"endTime":868.579,"body":"cumbersome, and so adding an AI"},{"speaker":"Jill Luber","startTime":868.645,"endTime":872.676,"body":"layer on top of this content"},{"speaker":"Jill Luber","startTime":868.645,"endTime":872.676,"body":"really helps the researchers get"},{"speaker":"Jill Luber","startTime":872.742,"endTime":876.508,"body":"to the point. They really just"},{"speaker":"Jill Luber","startTime":872.742,"endTime":876.508,"body":"want to know, what kind of"},{"speaker":"Jill Luber","startTime":876.574,"endTime":880.34,"body":"testing method did you use?"},{"speaker":"Jill Luber","startTime":876.574,"endTime":880.34,"body":"There's a way that the AI can"},{"speaker":"Jill Luber","startTime":880.406,"endTime":884.172,"body":"quickly help you find that"},{"speaker":"Jill Luber","startTime":880.406,"endTime":884.172,"body":"information. We use RAG, which"},{"speaker":"Jill Luber","startTime":884.238,"endTime":888.466,"body":"is the method by which we don't"},{"speaker":"Jill Luber","startTime":884.238,"endTime":888.466,"body":"just ask generative AI questions"},{"speaker":"Jill Luber","startTime":888.532,"endTime":892.563,"body":"and let it answer the questions"},{"speaker":"Jill Luber","startTime":888.532,"endTime":892.563,"body":"for us. We use the generative"},{"speaker":"Jill Luber","startTime":892.629,"endTime":896.791,"body":"AI, one to search our content."},{"speaker":"Jill Luber","startTime":892.629,"endTime":896.791,"body":"And we talked a little bit about"},{"speaker":"Jill Luber","startTime":896.857,"endTime":900.954,"body":"linking at the beginning, that"},{"speaker":"Jill Luber","startTime":896.857,"endTime":900.954,"body":"still applies in generative AI."},{"speaker":"Jill Luber","startTime":901.02,"endTime":904.852,"body":"Certainly with, you think about"},{"speaker":"Jill Luber","startTime":901.02,"endTime":904.852,"body":"taxonomies and some of the"},{"speaker":"Jill Luber","startTime":904.918,"endTime":909.212,"body":"curation of content to say, in a"},{"speaker":"Jill Luber","startTime":904.918,"endTime":909.212,"body":"specific domain, these two words"},{"speaker":"Jill Luber","startTime":909.278,"endTime":913.177,"body":"have a connection. They have a"},{"speaker":"Jill Luber","startTime":909.278,"endTime":913.177,"body":"meaning. We use that kind of"},{"speaker":"Jill Luber","startTime":913.243,"endTime":916.744,"body":"linking in the generative AI"},{"speaker":"Jill Luber","startTime":913.243,"endTime":916.744,"body":"search. So, if someone's"},{"speaker":"Jill Luber","startTime":916.81,"endTime":920.444,"body":"searching for a topic like"},{"speaker":"Jill Luber","startTime":916.81,"endTime":920.444,"body":"secondhand smoke, we've also"},{"speaker":"Jill Luber","startTime":920.51,"endTime":924.607,"body":"connected it to the medical term"},{"speaker":"Jill Luber","startTime":920.51,"endTime":924.607,"body":"for secondhand smoke. We make"},{"speaker":"Jill Luber","startTime":924.673,"endTime":928.439,"body":"sure we're pulling back all the"},{"speaker":"Jill Luber","startTime":924.673,"endTime":928.439,"body":"relevant articles. And so"},{"speaker":"Jill Luber","startTime":928.505,"endTime":932.601,"body":"there's a linking bit there in"},{"speaker":"Jill Luber","startTime":928.505,"endTime":932.601,"body":"that generative AI. We take the"},{"speaker":"Jill Luber","startTime":932.667,"endTime":936.698,"body":"retrieved information and then"},{"speaker":"Jill Luber","startTime":932.667,"endTime":936.698,"body":"we ask generative AI to answer"},{"speaker":"Jill Luber","startTime":936.764,"endTime":940.199,"body":"the question in a natural"},{"speaker":"Jill Luber","startTime":936.764,"endTime":940.199,"body":"language context, and that"},{"speaker":"Jill Luber","startTime":940.265,"endTime":943.305,"body":"really reduces the"},{"speaker":"Jill Luber","startTime":940.265,"endTime":943.305,"body":"hallucinations as well, and"},{"speaker":"Jill Luber","startTime":943.371,"endTime":947.335,"body":"keeps that accuracy high. We"},{"speaker":"Jill Luber","startTime":943.371,"endTime":947.335,"body":"always want to have a reference"},{"speaker":"Jill Luber","startTime":947.401,"endTime":950.506,"body":"back to the source"},{"speaker":"Jill Luber","startTime":947.401,"endTime":950.506,"body":"documentation. So anytime we"},{"speaker":"Jill Luber","startTime":950.572,"endTime":954.669,"body":"answer a question, the user can"},{"speaker":"Jill Luber","startTime":950.572,"endTime":954.669,"body":"dive deeper into the source of"},{"speaker":"Jill Luber","startTime":954.735,"endTime":958.765,"body":"the literature, to continue to"},{"speaker":"Jill Luber","startTime":954.735,"endTime":958.765,"body":"dive on their own and read the"},{"speaker":"Jill Luber","startTime":958.831,"endTime":963.06,"body":"source. It's an important part"},{"speaker":"Jill Luber","startTime":958.831,"endTime":963.06,"body":"of the solutions that we provide."},{"speaker":"YS Chi","startTime":963.0,"endTime":967.32,"body":"This is all enormous"},{"speaker":"YS Chi","startTime":963.0,"endTime":967.32,"body":"amount of handling, handling of"},{"speaker":"YS Chi","startTime":967.32,"endTime":973.2,"body":"datasets, right? And this is all"},{"speaker":"YS Chi","startTime":967.32,"endTime":973.2,"body":"taking enormous amount of"},{"speaker":"YS Chi","startTime":973.26,"endTime":977.52,"body":"hardware power. The two myths"},{"speaker":"YS Chi","startTime":973.26,"endTime":977.52,"body":"that I've always been"},{"speaker":"YS Chi","startTime":977.52,"endTime":982.02,"body":"challenging about GenAI since it"},{"speaker":"YS Chi","startTime":977.52,"endTime":982.02,"body":"came out was one, I don't think"},{"speaker":"YS Chi","startTime":982.02,"endTime":985.86,"body":"it actually generates anything."},{"speaker":"YS Chi","startTime":982.02,"endTime":985.86,"body":"It just regenerates things that"},{"speaker":"YS Chi","startTime":986.04,"endTime":989.805,"body":"are in the data sets. Whether"},{"speaker":"YS Chi","startTime":986.04,"endTime":989.805,"body":"that's from the linking or"},{"speaker":"YS Chi","startTime":989.805,"endTime":993.705,"body":"that's from precision or from"},{"speaker":"YS Chi","startTime":989.805,"endTime":993.705,"body":"the general recall. The second"},{"speaker":"YS Chi","startTime":993.705,"endTime":996.885,"body":"thing that I challenge is, can"},{"speaker":"YS Chi","startTime":993.705,"endTime":996.885,"body":"this be done without the"},{"speaker":"YS Chi","startTime":996.885,"endTime":1000.305,"body":"hardware improvement that we"},{"speaker":"YS Chi","startTime":996.885,"endTime":1000.305,"body":"have seen? And I'd like to ask"},{"speaker":"YS Chi","startTime":1000.305,"endTime":1006.845,"body":"Vijay, what is the optimism you"},{"speaker":"YS Chi","startTime":1000.305,"endTime":1006.845,"body":"have about how much more"},{"speaker":"YS Chi","startTime":1006.905,"endTime":1012.71,"body":"handling of these data sets,"},{"speaker":"YS Chi","startTime":1006.905,"endTime":1012.71,"body":"quickly and cheaply, occur"},{"speaker":"YS Chi","startTime":1012.89,"endTime":1014.75,"body":"because of the hardware side?"},{"speaker":"Vijay Raghavan","startTime":1016.64,"endTime":1020.12,"body":"I think there's"},{"speaker":"Vijay Raghavan","startTime":1016.64,"endTime":1020.12,"body":"a ton of room to grow. In fact,"},{"speaker":"Vijay Raghavan","startTime":1020.24,"endTime":1023.78,"body":"YS, I think I shared a slide a"},{"speaker":"Vijay Raghavan","startTime":1020.24,"endTime":1023.78,"body":"few weeks ago which showed the"},{"speaker":"Vijay Raghavan","startTime":1023.78,"endTime":1027.5,"body":"pace, the rate at which GPUs,"},{"speaker":"Vijay Raghavan","startTime":1023.78,"endTime":1027.5,"body":"the capability and the power of"},{"speaker":"Vijay Raghavan","startTime":1027.5,"endTime":1030.56,"body":"GPUs, has been escalating over"},{"speaker":"Vijay Raghavan","startTime":1027.5,"endTime":1030.56,"body":"the past 10 years in comparison"},{"speaker":"Vijay Raghavan","startTime":1030.56,"endTime":1035.9,"body":"to CPUs. And there's plenty of"},{"speaker":"Vijay Raghavan","startTime":1030.56,"endTime":1035.9,"body":"headroom just there. I can"},{"speaker":"Vijay Raghavan","startTime":1035.9,"endTime":1037.385,"body":"foresee, GPUs not reaching the"},{"speaker":"Vijay Raghavan","startTime":1035.9,"endTime":1037.385,"body":"ceiling for, I don't know, 10,"},{"speaker":"Vijay Raghavan","startTime":1037.385,"endTime":1040.145,"body":"15 years, and then after that,"},{"speaker":"Vijay Raghavan","startTime":1037.385,"endTime":1040.145,"body":"there's quantum computing on the"},{"speaker":"Vijay Raghavan","startTime":1040.205,"endTime":1044.885,"body":"horizon, which is going to"},{"speaker":"Vijay Raghavan","startTime":1040.205,"endTime":1044.885,"body":"further bring about a sea change"},{"speaker":"Vijay Raghavan","startTime":1044.885,"endTime":1048.245,"body":"in terms of hardware"},{"speaker":"Vijay Raghavan","startTime":1044.885,"endTime":1048.245,"body":"capabilities. I don't expect"},{"speaker":"Vijay Raghavan","startTime":1049.145,"endTime":1051.965,"body":"that to stop for any time. I"},{"speaker":"Vijay Raghavan","startTime":1049.145,"endTime":1051.965,"body":"don't know, in my lifetime, I"},{"speaker":"Vijay Raghavan","startTime":1052.025,"endTime":1056.105,"body":"guess. The scale at which"},{"speaker":"Vijay Raghavan","startTime":1052.025,"endTime":1056.105,"body":"hardware can influence the speed"},{"speaker":"Vijay Raghavan","startTime":1056.105,"endTime":1059.705,"body":"at which we can process these"},{"speaker":"Vijay Raghavan","startTime":1056.105,"endTime":1059.705,"body":"data sets and that, again, going"},{"speaker":"Vijay Raghavan","startTime":1059.705,"endTime":1061.91,"body":"back to the first part of your"},{"speaker":"Vijay Raghavan","startTime":1059.705,"endTime":1061.91,"body":"question, yes, it's true, these"},{"speaker":"Vijay Raghavan","startTime":1061.91,"endTime":1066.17,"body":"things regenerate stuff in terms"},{"speaker":"Vijay Raghavan","startTime":1061.91,"endTime":1066.17,"body":"of a probabilistic kind of"},{"speaker":"Vijay Raghavan","startTime":1066.17,"endTime":1068.75,"body":"forecast of what the next word"},{"speaker":"Vijay Raghavan","startTime":1066.17,"endTime":1068.75,"body":"is, or what the next likely"},{"speaker":"Vijay Raghavan","startTime":1069.05,"endTime":1072.53,"body":"scenario is, or whatever it"},{"speaker":"Vijay Raghavan","startTime":1069.05,"endTime":1072.53,"body":"might be. But there's this"},{"speaker":"Vijay Raghavan","startTime":1072.59,"endTime":1076.43,"body":"debate that's been festering in"},{"speaker":"Vijay Raghavan","startTime":1072.59,"endTime":1076.43,"body":"academic circles right now in"},{"speaker":"Vijay Raghavan","startTime":1076.43,"endTime":1080.69,"body":"terms of, can it actually"},{"speaker":"Vijay Raghavan","startTime":1076.43,"endTime":1080.69,"body":"discover new things? Even the"},{"speaker":"Vijay Raghavan","startTime":1080.69,"endTime":1084.935,"body":"term 'discover' is fraught with"},{"speaker":"Vijay Raghavan","startTime":1080.69,"endTime":1084.935,"body":"interpretation. But it can"},{"speaker":"Vijay Raghavan","startTime":1084.935,"endTime":1087.635,"body":"certainly yield insights as the"},{"speaker":"Vijay Raghavan","startTime":1084.935,"endTime":1087.635,"body":"capability of the hardware"},{"speaker":"Vijay Raghavan","startTime":1087.635,"endTime":1090.575,"body":"increases. It can certainly"},{"speaker":"Vijay Raghavan","startTime":1087.635,"endTime":1090.575,"body":"yield insights that are probably"},{"speaker":"Vijay Raghavan","startTime":1090.575,"endTime":1092.375,"body":"much, much harder for humans to"},{"speaker":"Vijay Raghavan","startTime":1090.575,"endTime":1092.375,"body":"achieve."},{"speaker":"YS Chi","startTime":1093.8,"endTime":1097.28,"body":"Yeah, so we can be very"},{"speaker":"YS Chi","startTime":1093.8,"endTime":1097.28,"body":"optimistic that we can get more"},{"speaker":"YS Chi","startTime":1097.28,"endTime":1100.34,"body":"and more sophisticated, more and"},{"speaker":"YS Chi","startTime":1097.28,"endTime":1100.34,"body":"more complex about the things"},{"speaker":"YS Chi","startTime":1100.34,"endTime":1104.42,"body":"that we're going to throw at the"},{"speaker":"YS Chi","startTime":1100.34,"endTime":1104.42,"body":"machine to compete for us. Is"},{"speaker":"YS Chi","startTime":1104.42,"endTime":1111.02,"body":"that okay? All right, so let me,"},{"speaker":"YS Chi","startTime":1104.42,"endTime":1111.02,"body":"at this point, jump to what is"},{"speaker":"YS Chi","startTime":1111.08,"endTime":1116.54,"body":"further ahead of this, not more"},{"speaker":"YS Chi","startTime":1111.08,"endTime":1116.54,"body":"of the same stuff, but from"},{"speaker":"YS Chi","startTime":1116.54,"endTime":1121.805,"body":"GenAI, agentic AI. What do you"},{"speaker":"YS Chi","startTime":1116.54,"endTime":1121.805,"body":"expect? Any one of you can just"},{"speaker":"YS Chi","startTime":1122.105,"endTime":1123.845,"body":"give me some insights, please."},{"speaker":"Jeff Reihl","startTime":1125.04,"endTime":1128.82,"body":"Sure, I'll jump in."},{"speaker":"Jeff Reihl","startTime":1125.04,"endTime":1128.82,"body":"So, you mentioned agentic"},{"speaker":"Jeff Reihl","startTime":1128.94,"endTime":1131.58,"body":"technologies, which is"},{"speaker":"Jeff Reihl","startTime":1128.94,"endTime":1131.58,"body":"absolutely something that we're"},{"speaker":"Jeff Reihl","startTime":1131.58,"endTime":1136.2,"body":"really focused on, and is really"},{"speaker":"Jeff Reihl","startTime":1131.58,"endTime":1136.2,"body":"the next frontier. That is one"},{"speaker":"Jeff Reihl","startTime":1136.2,"endTime":1141.0,"body":"area I would say, the models"},{"speaker":"Jeff Reihl","startTime":1136.2,"endTime":1141.0,"body":"themselves continue to improve"},{"speaker":"Jeff Reihl","startTime":1141.0,"endTime":1145.32,"body":"and get better. And then the"},{"speaker":"Jeff Reihl","startTime":1141.0,"endTime":1145.32,"body":"third area is these models are"},{"speaker":"Jeff Reihl","startTime":1145.32,"endTime":1149.505,"body":"also now reasoning. There's"},{"speaker":"Jeff Reihl","startTime":1145.32,"endTime":1149.505,"body":"reasoning capabilities that have"},{"speaker":"Jeff Reihl","startTime":1149.505,"endTime":1154.605,"body":"been used to help these models"},{"speaker":"Jeff Reihl","startTime":1149.505,"endTime":1154.605,"body":"even come up with better"},{"speaker":"Jeff Reihl","startTime":1154.605,"endTime":1158.325,"body":"answers. I think the combination"},{"speaker":"Jeff Reihl","startTime":1154.605,"endTime":1158.325,"body":"of those three areas, the"},{"speaker":"Jeff Reihl","startTime":1158.325,"endTime":1160.845,"body":"opportunity to do more fine"},{"speaker":"Jeff Reihl","startTime":1158.325,"endTime":1160.845,"body":"tuning, what's called"},{"speaker":"Jeff Reihl","startTime":1160.845,"endTime":1164.325,"body":"distillation, making the model"},{"speaker":"Jeff Reihl","startTime":1160.845,"endTime":1164.325,"body":"smaller so they can operate"},{"speaker":"Jeff Reihl","startTime":1164.325,"endTime":1168.285,"body":"faster and more fine tuned to"},{"speaker":"Jeff Reihl","startTime":1164.325,"endTime":1168.285,"body":"the specific use cases that"},{"speaker":"Jeff Reihl","startTime":1168.285,"endTime":1171.87,"body":"you're working on. That's really"},{"speaker":"Jeff Reihl","startTime":1168.285,"endTime":1171.87,"body":"kind of where we're focused"},{"speaker":"Jeff Reihl","startTime":1171.87,"endTime":1175.53,"body":"within LexisNexis and spending"},{"speaker":"Jeff Reihl","startTime":1171.87,"endTime":1175.53,"body":"our attention, because we"},{"speaker":"Jeff Reihl","startTime":1175.53,"endTime":1178.65,"body":"believe the agentic technologies"},{"speaker":"Jeff Reihl","startTime":1175.53,"endTime":1178.65,"body":"will help us as we look to"},{"speaker":"Jeff Reihl","startTime":1178.65,"endTime":1183.15,"body":"improve applications that help"},{"speaker":"Jeff Reihl","startTime":1178.65,"endTime":1183.15,"body":"specific workflows for our"},{"speaker":"Jeff Reihl","startTime":1183.15,"endTime":1186.45,"body":"lawyers. So an M\u0026A lawyer will"},{"speaker":"Jeff Reihl","startTime":1183.15,"endTime":1186.45,"body":"work differently than a"},{"speaker":"Jeff Reihl","startTime":1186.45,"endTime":1191.25,"body":"litigator, and how can we use"},{"speaker":"Jeff Reihl","startTime":1186.45,"endTime":1191.25,"body":"these agents to optimise the"},{"speaker":"Jeff Reihl","startTime":1191.25,"endTime":1196.995,"body":"workflow that will come out to"},{"speaker":"Jeff Reihl","startTime":1191.25,"endTime":1196.995,"body":"support what the lawyers are"},{"speaker":"Jeff Reihl","startTime":1196.995,"endTime":1200.595,"body":"doing specific to them,"},{"speaker":"Jeff Reihl","startTime":1196.995,"endTime":1200.595,"body":"optimised and personalised for"},{"speaker":"Jeff Reihl","startTime":1200.595,"endTime":1204.195,"body":"the work that they do. What's"},{"speaker":"Jeff Reihl","startTime":1200.595,"endTime":1204.195,"body":"really unique about these agents"},{"speaker":"Jeff Reihl","startTime":1204.255,"endTime":1207.135,"body":"is they can work in an"},{"speaker":"Jeff Reihl","startTime":1204.255,"endTime":1207.135,"body":"autonomous way. They can make"},{"speaker":"Jeff Reihl","startTime":1207.135,"endTime":1211.095,"body":"decisions on their own based on"},{"speaker":"Jeff Reihl","startTime":1207.135,"endTime":1211.095,"body":"the context that the user is"},{"speaker":"Jeff Reihl","startTime":1211.095,"endTime":1214.935,"body":"working in, the data that's"},{"speaker":"Jeff Reihl","startTime":1211.095,"endTime":1214.935,"body":"driving the workflow, and then"},{"speaker":"Jeff Reihl","startTime":1214.935,"endTime":1217.38,"body":"their actual workflow steps and"},{"speaker":"Jeff Reihl","startTime":1214.935,"endTime":1217.38,"body":"where they are within their"},{"speaker":"Jeff Reihl","startTime":1217.38,"endTime":1221.46,"body":"workflow. I think that's going"},{"speaker":"Jeff Reihl","startTime":1217.38,"endTime":1221.46,"body":"to change a lot of the way that"},{"speaker":"Jeff Reihl","startTime":1221.46,"endTime":1225.72,"body":"these solutions are built and"},{"speaker":"Jeff Reihl","startTime":1221.46,"endTime":1225.72,"body":"supported. And so I think those"},{"speaker":"Jeff Reihl","startTime":1225.72,"endTime":1228.96,"body":"are the areas of focus that"},{"speaker":"Jeff Reihl","startTime":1225.72,"endTime":1228.96,"body":"we're on, that we have within"},{"speaker":"Jeff Reihl","startTime":1228.96,"endTime":1229.8,"body":"Lexis right now."},{"speaker":"Jill Luber","startTime":1229.0,"endTime":1234.22,"body":"I'll piggyback on"},{"speaker":"Jill Luber","startTime":1229.0,"endTime":1234.22,"body":"that with the agents. So just to"},{"speaker":"Jill Luber","startTime":1234.22,"endTime":1237.88,"body":"make it even more practical, in"},{"speaker":"Jill Luber","startTime":1234.22,"endTime":1237.88,"body":"some of the, you said the"},{"speaker":"Jill Luber","startTime":1237.88,"endTime":1243.76,"body":"workflows and automation in our"},{"speaker":"Jill Luber","startTime":1237.88,"endTime":1243.76,"body":"nursing education space. We're"},{"speaker":"Jill Luber","startTime":1243.76,"endTime":1249.4,"body":"seeing a decrease in the number"},{"speaker":"Jill Luber","startTime":1243.76,"endTime":1249.4,"body":"of nurses that are graduating"},{"speaker":"Jill Luber","startTime":1249.4,"endTime":1251.98,"body":"and becoming part of the"},{"speaker":"Jill Luber","startTime":1249.4,"endTime":1251.98,"body":"workforce in the United States."},{"speaker":"Jill Luber","startTime":1251.98,"endTime":1256.705,"body":"And that decrease is actually"},{"speaker":"Jill Luber","startTime":1251.98,"endTime":1256.705,"body":"not lack of want of candidates"},{"speaker":"Jill Luber","startTime":1256.705,"endTime":1260.725,"body":"wanting to go into programmes."},{"speaker":"Jill Luber","startTime":1256.705,"endTime":1260.725,"body":"It's a lack of educators. In"},{"speaker":"Jill Luber","startTime":1260.725,"endTime":1264.445,"body":"many cases, the nursing"},{"speaker":"Jill Luber","startTime":1260.725,"endTime":1264.445,"body":"educators are, in fact, nurses."},{"speaker":"Jill Luber","startTime":1264.445,"endTime":1267.685,"body":"So these are individuals who"},{"speaker":"Jill Luber","startTime":1264.445,"endTime":1267.685,"body":"split their time between nursing"},{"speaker":"Jill Luber","startTime":1267.685,"endTime":1270.325,"body":"and teaching the next"},{"speaker":"Jill Luber","startTime":1267.685,"endTime":1270.325,"body":"generation. And so you can"},{"speaker":"Jill Luber","startTime":1270.325,"endTime":1276.07,"body":"imagine that's hard to do. How"},{"speaker":"Jill Luber","startTime":1270.325,"endTime":1276.07,"body":"do we make it easier for these"},{"speaker":"Jill Luber","startTime":1276.07,"endTime":1280.39,"body":"nurses to come teach the next"},{"speaker":"Jill Luber","startTime":1276.07,"endTime":1280.39,"body":"generation? We can create agents"},{"speaker":"Jill Luber","startTime":1280.63,"endTime":1286.93,"body":"that given a unit of study"},{"speaker":"Jill Luber","startTime":1280.63,"endTime":1286.93,"body":"within the programme can spin up"},{"speaker":"Jill Luber","startTime":1286.99,"endTime":1290.47,"body":"their lesson plans, their"},{"speaker":"Jill Luber","startTime":1286.99,"endTime":1290.47,"body":"quizzes, their homework, the"},{"speaker":"Jill Luber","startTime":1290.47,"endTime":1293.89,"body":"test, the assessment. You can"},{"speaker":"Jill Luber","startTime":1290.47,"endTime":1293.89,"body":"then feed those assessments back"},{"speaker":"Jill Luber","startTime":1293.89,"endTime":1297.01,"body":"into the agent to say, look,"},{"speaker":"Jill Luber","startTime":1293.89,"endTime":1297.01,"body":"where did my students fall"},{"speaker":"Jill Luber","startTime":1297.01,"endTime":1300.115,"body":"short? Let's go reiterate a"},{"speaker":"Jill Luber","startTime":1297.01,"endTime":1300.115,"body":"point or two that they're"},{"speaker":"Jill Luber","startTime":1300.115,"endTime":1304.135,"body":"missing, and really take the"},{"speaker":"Jill Luber","startTime":1300.115,"endTime":1304.135,"body":"burden off of those, again,"},{"speaker":"Jill Luber","startTime":1304.135,"endTime":1309.895,"body":"they're nurses that are teaching"},{"speaker":"Jill Luber","startTime":1304.135,"endTime":1309.895,"body":"the next generation. Taking away"},{"speaker":"Jill Luber","startTime":1309.895,"endTime":1313.975,"body":"some of that nuance of being a"},{"speaker":"Jill Luber","startTime":1309.895,"endTime":1313.975,"body":"teacher, and just to help them"},{"speaker":"Jill Luber","startTime":1313.975,"endTime":1317.395,"body":"get it done without so much"},{"speaker":"Jill Luber","startTime":1313.975,"endTime":1317.395,"body":"burden. So then hopefully we can"},{"speaker":"Jill Luber","startTime":1317.395,"endTime":1319.915,"body":"have more nurses that will sign"},{"speaker":"Jill Luber","startTime":1317.395,"endTime":1319.915,"body":"up to do this, and therefore we"},{"speaker":"Jill Luber","startTime":1319.915,"endTime":1323.44,"body":"can graduate more. But it is"},{"speaker":"Jill Luber","startTime":1319.915,"endTime":1323.44,"body":"going to be that kind of agent"},{"speaker":"Jill Luber","startTime":1323.44,"endTime":1325.72,"body":"technology that really"},{"speaker":"Jill Luber","startTime":1323.44,"endTime":1325.72,"body":"understands what you're trying"},{"speaker":"Jill Luber","startTime":1325.72,"endTime":1329.92,"body":"to accomplish, and not just in"},{"speaker":"Jill Luber","startTime":1325.72,"endTime":1329.92,"body":"moment, but for a few weeks or"},{"speaker":"Jill Luber","startTime":1329.92,"endTime":1332.62,"body":"you can continue having this"},{"speaker":"Jill Luber","startTime":1329.92,"endTime":1332.62,"body":"dialog with the agent like, how"},{"speaker":"Jill Luber","startTime":1332.62,"endTime":1335.14,"body":"are your students doing? Are"},{"speaker":"Jill Luber","startTime":1332.62,"endTime":1335.14,"body":"there a concept that they need"},{"speaker":"Jill Luber","startTime":1335.14,"endTime":1336.88,"body":"to really double down on?"},{"speaker":"YS Chi","startTime":1338.98,"endTime":1344.2,"body":"All of this is happening"},{"speaker":"YS Chi","startTime":1338.98,"endTime":1344.2,"body":"because we seem to focus so much"},{"speaker":"YS Chi","startTime":1344.2,"endTime":1350.785,"body":"on customer, customer needs. You"},{"speaker":"YS Chi","startTime":1344.2,"endTime":1350.785,"body":"are CTOs. Yes, you do talk to"},{"speaker":"YS Chi","startTime":1350.785,"endTime":1354.565,"body":"customers, but there's probably"},{"speaker":"YS Chi","startTime":1350.785,"endTime":1354.565,"body":"good layer between you and those"},{"speaker":"YS Chi","startTime":1354.565,"endTime":1358.345,"body":"who are facing the customer"},{"speaker":"YS Chi","startTime":1354.565,"endTime":1358.345,"body":"needs and hearing it. How is"},{"speaker":"YS Chi","startTime":1358.345,"endTime":1360.565,"body":"this working inside RELX?"},{"speaker":"Vijay Raghavan","startTime":1365.065,"endTime":1367.885,"body":"I'll start. I"},{"speaker":"Vijay Raghavan","startTime":1365.065,"endTime":1367.885,"body":"actually think it works very"},{"speaker":"Vijay Raghavan","startTime":1367.885,"endTime":1370.75,"body":"well. Yeah, I don't talk to"},{"speaker":"Vijay Raghavan","startTime":1367.885,"endTime":1370.75,"body":"customers on a day to day basis"},{"speaker":"Vijay Raghavan","startTime":1370.75,"endTime":1373.63,"body":"in terms of understanding the"},{"speaker":"Vijay Raghavan","startTime":1370.75,"endTime":1373.63,"body":"requirements or anything like"},{"speaker":"Vijay Raghavan","startTime":1373.63,"endTime":1376.99,"body":"that. But when there is a market"},{"speaker":"Vijay Raghavan","startTime":1373.63,"endTime":1376.99,"body":"need, especially for a new"},{"speaker":"Vijay Raghavan","startTime":1376.99,"endTime":1381.01,"body":"product, I typically get"},{"speaker":"Vijay Raghavan","startTime":1376.99,"endTime":1381.01,"body":"involved in terms of"},{"speaker":"Vijay Raghavan","startTime":1381.55,"endTime":1389.59,"body":"understanding what that market"},{"speaker":"Vijay Raghavan","startTime":1381.55,"endTime":1389.59,"body":"need is, and then trying to"},{"speaker":"Vijay Raghavan","startTime":1389.59,"endTime":1390.032,"body":"figure out, well, what does it"},{"speaker":"Vijay Raghavan","startTime":1389.59,"endTime":1390.032,"body":"translate into, in terms of a"},{"speaker":"Vijay Raghavan","startTime":1390.032,"endTime":1390.438,"body":"new product offering, or how we"},{"speaker":"Vijay Raghavan","startTime":1390.032,"endTime":1390.438,"body":"go about approaching that market"},{"speaker":"Vijay Raghavan","startTime":1390.438,"endTime":1394.495,"body":"need with something that we"},{"speaker":"Vijay Raghavan","startTime":1390.438,"endTime":1394.495,"body":"don't have before? And the other"},{"speaker":"Vijay Raghavan","startTime":1394.495,"endTime":1397.255,"body":"aspect is, because each of us"},{"speaker":"Vijay Raghavan","startTime":1394.495,"endTime":1397.255,"body":"has different multiple business"},{"speaker":"Vijay Raghavan","startTime":1397.255,"endTime":1400.675,"body":"units within our respective"},{"speaker":"Vijay Raghavan","startTime":1397.255,"endTime":1400.675,"body":"divisions, one of the jobs that"},{"speaker":"Vijay Raghavan","startTime":1400.675,"endTime":1403.795,"body":"we have, one of the hats that we"},{"speaker":"Vijay Raghavan","startTime":1400.675,"endTime":1403.795,"body":"wear is to look across the"},{"speaker":"Vijay Raghavan","startTime":1403.795,"endTime":1406.495,"body":"common needs of those markets"},{"speaker":"Vijay Raghavan","startTime":1403.795,"endTime":1406.495,"body":"and try to synthesise what it is"},{"speaker":"Vijay Raghavan","startTime":1406.495,"endTime":1409.675,"body":"we have to bring to bear. That"},{"speaker":"Vijay Raghavan","startTime":1406.495,"endTime":1409.675,"body":"does require us getting fairly"},{"speaker":"Vijay Raghavan","startTime":1409.675,"endTime":1413.695,"body":"comfortable with what the"},{"speaker":"Vijay Raghavan","startTime":1409.675,"endTime":1413.695,"body":"customer's need is, and the"},{"speaker":"Vijay Raghavan","startTime":1413.695,"endTime":1417.76,"body":"nature of any organisation, as"},{"speaker":"Vijay Raghavan","startTime":1413.695,"endTime":1417.76,"body":"you know, YS, is there's always"},{"speaker":"Vijay Raghavan","startTime":1417.76,"endTime":1421.06,"body":"more demand in terms of product"},{"speaker":"Vijay Raghavan","startTime":1417.76,"endTime":1421.06,"body":"needs, and there are people to"},{"speaker":"Vijay Raghavan","startTime":1421.06,"endTime":1431.5,"body":"do it. So it's incumbent on us"},{"speaker":"Vijay Raghavan","startTime":1421.06,"endTime":1431.5,"body":"to try to figure out what are"},{"speaker":"Vijay Raghavan","startTime":1431.5,"endTime":1435.733,"body":"the things that we should be"},{"speaker":"Vijay Raghavan","startTime":1431.5,"endTime":1435.733,"body":"working on, so we can push back"},{"speaker":"Vijay Raghavan","startTime":1435.733,"endTime":1436.104,"body":"and say, maybe that's not what"},{"speaker":"Vijay Raghavan","startTime":1435.733,"endTime":1436.104,"body":"you should be working on right"},{"speaker":"YS Chi","startTime":1436.0,"endTime":1441.16,"body":"group, is how much you"},{"speaker":"YS Chi","startTime":1436.0,"endTime":1441.16,"body":"work as a team. Obviously, you"},{"speaker":"YS Chi","startTime":1436.104,"endTime":1436.444,"body":"now, maybe this is where we"},{"speaker":"YS Chi","startTime":1436.104,"endTime":1436.444,"body":"should be devoting our scarce"},{"speaker":"YS Chi","startTime":1436.444,"endTime":1436.475,"body":"resources."},{"speaker":"YS Chi","startTime":1441.16,"endTime":1443.44,"body":"individually have different"},{"speaker":"YS Chi","startTime":1441.16,"endTime":1443.44,"body":"customer segments. You have"},{"speaker":"YS Chi","startTime":1443.44,"endTime":1448.06,"body":"different ways to try different"},{"speaker":"YS Chi","startTime":1443.44,"endTime":1448.06,"body":"technology and combine them, but"},{"speaker":"YS Chi","startTime":1448.18,"endTime":1454.54,"body":"you have created something that"},{"speaker":"YS Chi","startTime":1448.18,"endTime":1454.54,"body":"really shares a lot. One of you,"},{"speaker":"YS Chi","startTime":1454.54,"endTime":1458.86,"body":"please tell me about this CTO"},{"speaker":"YS Chi","startTime":1454.54,"endTime":1458.86,"body":"forum, and why does this work?"},{"speaker":"Vijay Raghavan","startTime":1461.38,"endTime":1463.525,"body":"Sure, Jeff or"},{"speaker":"Vijay Raghavan","startTime":1461.38,"endTime":1463.525,"body":"Jill, you want to take a crack"},{"speaker":"Vijay Raghavan","startTime":1463.525,"endTime":1463.765,"body":"at it?"},{"speaker":"Jeff Reihl","startTime":1464.02,"endTime":1468.22,"body":"Sure. I'll start."},{"speaker":"Jeff Reihl","startTime":1464.02,"endTime":1468.22,"body":"The four of us get together"},{"speaker":"Jeff Reihl","startTime":1468.22,"endTime":1471.58,"body":"about every six weeks, and we"},{"speaker":"Jeff Reihl","startTime":1468.22,"endTime":1471.58,"body":"cover a variety of different"},{"speaker":"Jeff Reihl","startTime":1471.58,"endTime":1477.58,"body":"topics that are pertinent to all"},{"speaker":"Jeff Reihl","startTime":1471.58,"endTime":1477.58,"body":"of our organisations. I would"},{"speaker":"Jeff Reihl","startTime":1477.58,"endTime":1481.96,"body":"characterise it more as sharing"},{"speaker":"Jeff Reihl","startTime":1477.58,"endTime":1481.96,"body":"best practices, leveraging the"},{"speaker":"Jeff Reihl","startTime":1481.96,"endTime":1487.525,"body":"size and capabilities within"},{"speaker":"Jeff Reihl","startTime":1481.96,"endTime":1487.525,"body":"RELX. Some of the topics that we"},{"speaker":"Jeff Reihl","startTime":1487.525,"endTime":1490.645,"body":"cover are things like security,"},{"speaker":"Jeff Reihl","startTime":1487.525,"endTime":1490.645,"body":"because we all have to deal with"},{"speaker":"Jeff Reihl","startTime":1490.645,"endTime":1494.485,"body":"security, and we share best"},{"speaker":"Jeff Reihl","startTime":1490.645,"endTime":1494.485,"body":"practices and any issues that"},{"speaker":"Jeff Reihl","startTime":1494.485,"endTime":1499.105,"body":"we're individually focused on."},{"speaker":"Jeff Reihl","startTime":1494.485,"endTime":1499.105,"body":"Procurement, how do we leverage"},{"speaker":"Jeff Reihl","startTime":1499.165,"endTime":1503.965,"body":"our scale as RELX to get the"},{"speaker":"Jeff Reihl","startTime":1499.165,"endTime":1503.965,"body":"best price when we're working"},{"speaker":"Jeff Reihl","startTime":1503.965,"endTime":1508.525,"body":"with large companies like"},{"speaker":"Jeff Reihl","startTime":1503.965,"endTime":1508.525,"body":"Microsoft or AWS. Each one of us"},{"speaker":"Jeff Reihl","startTime":1508.585,"endTime":1513.49,"body":"are the executive sponsor for"},{"speaker":"Jeff Reihl","startTime":1508.585,"endTime":1513.49,"body":"one of those large vendors. I am"},{"speaker":"Jeff Reihl","startTime":1513.49,"endTime":1517.99,"body":"the executive sponsor for AWS"},{"speaker":"Jeff Reihl","startTime":1513.49,"endTime":1517.99,"body":"because we do a lot of AWS work"},{"speaker":"Jeff Reihl","startTime":1517.99,"endTime":1522.85,"body":"within LexisNexis, and Vijay is"},{"speaker":"Jeff Reihl","startTime":1517.99,"endTime":1522.85,"body":"the executive sponsor for"},{"speaker":"Jeff Reihl","startTime":1522.85,"endTime":1526.63,"body":"Microsoft, because they're"},{"speaker":"Jeff Reihl","startTime":1522.85,"endTime":1526.63,"body":"hosting within Microsoft. We"},{"speaker":"Jeff Reihl","startTime":1526.63,"endTime":1529.81,"body":"will take point in certain"},{"speaker":"Jeff Reihl","startTime":1526.63,"endTime":1529.81,"body":"areas, but we'll always have a"},{"speaker":"Jeff Reihl","startTime":1529.81,"endTime":1535.195,"body":"dialogue around issues or"},{"speaker":"Jeff Reihl","startTime":1529.81,"endTime":1535.195,"body":"opportunities to do things"},{"speaker":"Jeff Reihl","startTime":1535.195,"endTime":1537.055,"body":"better across RELX."},{"speaker":"YS Chi","startTime":1537.595,"endTime":1541.855,"body":"I mean, I remember..."},{"speaker":"YS Chi","startTime":1537.595,"endTime":1541.855,"body":"just one moment Jill. I remember"},{"speaker":"YS Chi","startTime":1541.855,"endTime":1545.515,"body":"not long ago, Vijay, there was a"},{"speaker":"YS Chi","startTime":1541.855,"endTime":1545.515,"body":"lot of tension between these"},{"speaker":"YS Chi","startTime":1545.995,"endTime":1549.895,"body":"tech people in different"},{"speaker":"YS Chi","startTime":1545.995,"endTime":1549.895,"body":"divisions, and yet you created"},{"speaker":"YS Chi","startTime":1549.895,"endTime":1556.0,"body":"this forum in hopes that you"},{"speaker":"YS Chi","startTime":1549.895,"endTime":1556.0,"body":"would become amazing friends."},{"speaker":"YS Chi","startTime":1556.12,"endTime":1559.84,"body":"You've become great allies to"},{"speaker":"YS Chi","startTime":1556.12,"endTime":1559.84,"body":"each other. I'm so jealous."},{"speaker":"Vijay Raghavan","startTime":1561.7,"endTime":1563.26,"body":"Yeah, I would"},{"speaker":"Vijay Raghavan","startTime":1561.7,"endTime":1563.26,"body":"say we do have a very strong"},{"speaker":"Vijay Raghavan","startTime":1563.26,"endTime":1566.68,"body":"working relationship, and part"},{"speaker":"Vijay Raghavan","startTime":1563.26,"endTime":1566.68,"body":"of it is, I think the secret"},{"speaker":"Vijay Raghavan","startTime":1566.68,"endTime":1569.2,"body":"sauce was to figure out where we"},{"speaker":"Vijay Raghavan","startTime":1566.68,"endTime":1569.2,"body":"should collaborate and where we"},{"speaker":"Vijay Raghavan","startTime":1569.2,"endTime":1578.08,"body":"shouldn't. Because we try to"},{"speaker":"Vijay Raghavan","startTime":1569.2,"endTime":1578.08,"body":"boil the ocean and try to get"},{"speaker":"Vijay Raghavan","startTime":1578.08,"endTime":1578.097,"body":"into each other's shots and"},{"speaker":"Vijay Raghavan","startTime":1578.08,"endTime":1578.097,"body":"every little thing, it simply"},{"speaker":"Vijay Raghavan","startTime":1578.097,"endTime":1578.108,"body":"wouldn't work. But we"},{"speaker":"Vijay Raghavan","startTime":1578.097,"endTime":1578.108,"body":"deliberately and very"},{"speaker":"Vijay Raghavan","startTime":1578.108,"endTime":1578.845,"body":"consciously chose the subset of"},{"speaker":"Vijay Raghavan","startTime":1578.108,"endTime":1578.845,"body":"things that we wanted to work on"},{"speaker":"Vijay Raghavan","startTime":1578.845,"endTime":1582.025,"body":"as a group, that basically were"},{"speaker":"Vijay Raghavan","startTime":1578.845,"endTime":1582.025,"body":"common across the divisions,"},{"speaker":"Vijay Raghavan","startTime":1582.025,"endTime":1585.385,"body":"right? Because the reality is 95"},{"speaker":"Vijay Raghavan","startTime":1582.025,"endTime":1585.385,"body":"percent if not more, of our"},{"speaker":"Vijay Raghavan","startTime":1585.385,"endTime":1589.165,"body":"respective, of our time is spent"},{"speaker":"Vijay Raghavan","startTime":1585.385,"endTime":1589.165,"body":"within our divisions. With the"},{"speaker":"Vijay Raghavan","startTime":1589.405,"endTime":1592.585,"body":"few meetings we have per year."},{"speaker":"Vijay Raghavan","startTime":1589.405,"endTime":1592.585,"body":"What are the salient things that"},{"speaker":"Vijay Raghavan","startTime":1592.585,"endTime":1595.765,"body":"we really need to share across"},{"speaker":"Vijay Raghavan","startTime":1592.585,"endTime":1595.765,"body":"the group? Even there, we can't"},{"speaker":"Vijay Raghavan","startTime":1595.765,"endTime":1598.405,"body":"do justice to it just among the"},{"speaker":"Vijay Raghavan","startTime":1595.765,"endTime":1598.405,"body":"four CTOs, so we set up these"},{"speaker":"Vijay Raghavan","startTime":1598.645,"endTime":1600.611,"body":"communities of best practices we"},{"speaker":"Vijay Raghavan","startTime":1598.645,"endTime":1600.611,"body":"call them. That way we have a"},{"speaker":"Vijay Raghavan","startTime":1600.611,"endTime":1601.035,"body":"community of best practice for"},{"speaker":"Vijay Raghavan","startTime":1600.611,"endTime":1601.035,"body":"generative AI, one for end user"},{"speaker":"Vijay Raghavan","startTime":1601.035,"endTime":1606.61,"body":"computing or infrastructure, and"},{"speaker":"Vijay Raghavan","startTime":1601.035,"endTime":1606.61,"body":"we appoint people within our"},{"speaker":"Vijay Raghavan","startTime":1606.67,"endTime":1609.91,"body":"respective divisions to"},{"speaker":"Vijay Raghavan","startTime":1606.67,"endTime":1609.91,"body":"collaborate more broadly and"},{"speaker":"Vijay Raghavan","startTime":1609.91,"endTime":1613.81,"body":"deeply in these areas, so we"},{"speaker":"Vijay Raghavan","startTime":1609.91,"endTime":1613.81,"body":"don't have to get involved,"},{"speaker":"Vijay Raghavan","startTime":1613.81,"endTime":1615.97,"body":"because we can't get involved at"},{"speaker":"Vijay Raghavan","startTime":1613.81,"endTime":1615.97,"body":"a deeper level."},{"speaker":"YS Chi","startTime":1615.0,"endTime":1617.4,"body":"And this requires,"},{"speaker":"YS Chi","startTime":1615.0,"endTime":1617.4,"body":"obviously..."},{"speaker":"Jeff Reihl","startTime":1617.4,"endTime":1620.88,"body":"One other area YS"},{"speaker":"Jeff Reihl","startTime":1617.4,"endTime":1620.88,"body":"that we collaborate a lot on, is"},{"speaker":"Jeff Reihl","startTime":1620.88,"endTime":1621.6,"body":"with talent..."},{"speaker":"YS Chi","startTime":1621.6,"endTime":1624.0,"body":"I was going to just"},{"speaker":"YS Chi","startTime":1621.6,"endTime":1624.0,"body":"reach to that point and say,"},{"speaker":"YS Chi","startTime":1624.18,"endTime":1628.32,"body":"this cannot happen unless you"},{"speaker":"YS Chi","startTime":1624.18,"endTime":1628.32,"body":"have talents, and also talent"},{"speaker":"YS Chi","startTime":1628.32,"endTime":1634.14,"body":"that likes to work with each"},{"speaker":"YS Chi","startTime":1628.32,"endTime":1634.14,"body":"other. So, help me understand"},{"speaker":"YS Chi","startTime":1634.14,"endTime":1638.565,"body":"for the audience, what do we do"},{"speaker":"YS Chi","startTime":1634.14,"endTime":1638.565,"body":"to retract, retain, train the"},{"speaker":"YS Chi","startTime":1638.565,"endTime":1642.885,"body":"talent and have them be happy to"},{"speaker":"YS Chi","startTime":1638.565,"endTime":1642.885,"body":"work with each other and lever?"},{"speaker":"YS Chi","startTime":1644.325,"endTime":1645.885,"body":"What is it that we do so well?"},{"speaker":"Jill Luber","startTime":1645.6,"endTime":1649.92,"body":"I'll jump in,"},{"speaker":"Jill Luber","startTime":1645.6,"endTime":1649.92,"body":"because I've been, you know, 22"},{"speaker":"Jill Luber","startTime":1649.92,"endTime":1656.04,"body":"years and across two divisions"},{"speaker":"Jill Luber","startTime":1649.92,"endTime":1656.04,"body":"now. So, that moment of where I"},{"speaker":"Jill Luber","startTime":1656.04,"endTime":1658.8,"body":"could take the next big step,"},{"speaker":"Jill Luber","startTime":1656.04,"endTime":1658.8,"body":"and I chose to do it within"},{"speaker":"Jill Luber","startTime":1659.4,"endTime":1666.78,"body":"RELX. I think a lot of our"},{"speaker":"Jill Luber","startTime":1659.4,"endTime":1666.78,"body":"mission, and what we do across"},{"speaker":"Jill Luber","startTime":1666.84,"endTime":1671.985,"body":"all of our divisions, you can"},{"speaker":"Jill Luber","startTime":1666.84,"endTime":1671.985,"body":"find the mission and why it's"},{"speaker":"Jill Luber","startTime":1671.985,"endTime":1676.485,"body":"important to do what we do."},{"speaker":"Jill Luber","startTime":1671.985,"endTime":1676.485,"body":"Within Elsevier, we're advancing"},{"speaker":"Jill Luber","startTime":1676.485,"endTime":1681.285,"body":"human progress and Risk, there's"},{"speaker":"Jill Luber","startTime":1676.485,"endTime":1681.285,"body":"so much work around helping"},{"speaker":"Jill Luber","startTime":1681.285,"endTime":1689.925,"body":"combat fraud and helping , even"},{"speaker":"Jill Luber","startTime":1681.285,"endTime":1689.925,"body":"in Brazil when there was no"},{"speaker":"Jill Luber","startTime":1690.045,"endTime":1693.405,"body":"credit bureau at all and"},{"speaker":"Jill Luber","startTime":1690.045,"endTime":1693.405,"body":"everyone was paying ridiculous"},{"speaker":"Jill Luber","startTime":1693.87,"endTime":1696.75,"body":"interest rates because there was"},{"speaker":"Jill Luber","startTime":1693.87,"endTime":1696.75,"body":"no way to understand who's good"},{"speaker":"Jill Luber","startTime":1696.75,"endTime":1699.33,"body":"credit and who's not. I mean,"},{"speaker":"Jill Luber","startTime":1696.75,"endTime":1699.33,"body":"this is that kind of setting up"},{"speaker":"Jill Luber","startTime":1699.33,"endTime":1704.19,"body":"that ability, and it's for the"},{"speaker":"Jill Luber","startTime":1699.33,"endTime":1704.19,"body":"betterment of everyone. It's for"},{"speaker":"Jill Luber","startTime":1704.19,"endTime":1707.97,"body":"the betterment of society, and"},{"speaker":"Jill Luber","startTime":1704.19,"endTime":1707.97,"body":"even with the case law, and"},{"speaker":"Jill Luber","startTime":1707.97,"endTime":1712.11,"body":"understanding the law of the"},{"speaker":"Jill Luber","startTime":1707.97,"endTime":1712.11,"body":"land and helping make sure that"},{"speaker":"Jill Luber","startTime":1712.11,"endTime":1717.735,"body":"due process is part of the"},{"speaker":"Jill Luber","startTime":1712.11,"endTime":1717.735,"body":"society, and really setting"},{"speaker":"Jill Luber","startTime":1719.055,"endTime":1723.735,"body":"standards for things like law"},{"speaker":"Jill Luber","startTime":1719.055,"endTime":1723.735,"body":"and risk, and even in research."},{"speaker":"Jill Luber","startTime":1724.695,"endTime":1727.095,"body":"People get behind that. They"},{"speaker":"Jill Luber","startTime":1724.695,"endTime":1727.095,"body":"understand why they come to work"},{"speaker":"Jill Luber","startTime":1727.095,"endTime":1730.335,"body":"every day. They understand what"},{"speaker":"Jill Luber","startTime":1727.095,"endTime":1730.335,"body":"they're contributing. And I"},{"speaker":"Jill Luber","startTime":1730.335,"endTime":1734.955,"body":"think that's really important."},{"speaker":"Jill Luber","startTime":1730.335,"endTime":1734.955,"body":"We we talk about those goals and"},{"speaker":"Jill Luber","startTime":1734.955,"endTime":1739.08,"body":"that vision, often. You'll hear"},{"speaker":"Jill Luber","startTime":1734.955,"endTime":1739.08,"body":"it very often in our townhalls"},{"speaker":"Jill Luber","startTime":1739.08,"endTime":1743.82,"body":"and what our leadership say."},{"speaker":"Jill Luber","startTime":1739.08,"endTime":1743.82,"body":"What we've accomplished. Yes, we"},{"speaker":"Jill Luber","startTime":1743.82,"endTime":1746.64,"body":"are a business, and we're a very"},{"speaker":"Jill Luber","startTime":1743.82,"endTime":1746.64,"body":"large business, and we're very"},{"speaker":"Jill Luber","startTime":1746.64,"endTime":1750.24,"body":"successful. But our success is"},{"speaker":"Jill Luber","startTime":1746.64,"endTime":1750.24,"body":"because we are doing the right"},{"speaker":"Jill Luber","startTime":1750.24,"endTime":1754.08,"body":"things for our customers, and"},{"speaker":"Jill Luber","startTime":1750.24,"endTime":1754.08,"body":"that they find what we produce"},{"speaker":"Jill Luber","startTime":1754.08,"endTime":1758.34,"body":"and what we provide is worthy to"},{"speaker":"Jill Luber","startTime":1754.08,"endTime":1758.34,"body":"continue to purchase and"},{"speaker":"Jill Luber","startTime":1758.34,"endTime":1761.46,"body":"continue to have a relationship"},{"speaker":"Jill Luber","startTime":1758.34,"endTime":1761.46,"body":"with us. They're always hungry"},{"speaker":"Jill Luber","startTime":1761.505,"endTime":1764.865,"body":"for, what is that the next thing"},{"speaker":"Jill Luber","startTime":1761.505,"endTime":1764.865,"body":"that the RELX company is going"},{"speaker":"Jill Luber","startTime":1764.925,"endTime":1768.105,"body":"to bring for us, because they"},{"speaker":"Jill Luber","startTime":1764.925,"endTime":1768.105,"body":"know that we have a customer in"},{"speaker":"Jill Luber","startTime":1768.105,"endTime":1771.885,"body":"mind, and it's something that"},{"speaker":"Jill Luber","startTime":1768.105,"endTime":1771.885,"body":"it's worth spending their budget"},{"speaker":"Jill Luber","startTime":1771.885,"endTime":1775.965,"body":"on, right? So it's helping them"},{"speaker":"Jill Luber","startTime":1771.885,"endTime":1775.965,"body":"get their jobs done. And that's,"},{"speaker":"Jill Luber","startTime":1775.965,"endTime":1778.905,"body":"I think, what our people can see"},{"speaker":"Jill Luber","startTime":1775.965,"endTime":1778.905,"body":"that. And so they see that the"},{"speaker":"Jill Luber","startTime":1778.905,"endTime":1783.165,"body":"contributions they're making. As"},{"speaker":"Jill Luber","startTime":1778.905,"endTime":1783.165,"body":"a result, there's a nice respect"},{"speaker":"Jill Luber","startTime":1783.165,"endTime":1785.67,"body":"amongst all the colleagues too,"},{"speaker":"Jill Luber","startTime":1783.165,"endTime":1785.67,"body":"that we're all doing this"},{"speaker":"Jill Luber","startTime":1785.67,"endTime":1791.19,"body":"together. I think that's a lot"},{"speaker":"Jill Luber","startTime":1785.67,"endTime":1791.19,"body":"of what keeps people at RELX. We"},{"speaker":"Jill Luber","startTime":1791.19,"endTime":1794.19,"body":"do have long tenure, certainly"},{"speaker":"Jill Luber","startTime":1791.19,"endTime":1794.19,"body":"amongst the three of us in our"},{"speaker":"Jill Luber","startTime":1794.19,"endTime":1798.69,"body":"divisions in tech, we all have"},{"speaker":"Jill Luber","startTime":1794.19,"endTime":1798.69,"body":"very long tenure within a tech"},{"speaker":"Jill Luber","startTime":1798.69,"endTime":1803.19,"body":"organisation which is not usual."},{"speaker":"Jill Luber","startTime":1798.69,"endTime":1803.19,"body":"And again, I think it's just"},{"speaker":"Jill Luber","startTime":1803.19,"endTime":1805.65,"body":"people really enjoy who they"},{"speaker":"Jill Luber","startTime":1803.19,"endTime":1805.65,"body":"work with, and what they're"},{"speaker":"Jill Luber","startTime":1805.65,"endTime":1806.37,"body":"doing, and why."},{"speaker":"Jeff Reihl","startTime":1807.15,"endTime":1811.095,"body":"Yeah, I think that,"},{"speaker":"Jeff Reihl","startTime":1807.15,"endTime":1811.095,"body":"as you mentioned, YS, it's all"},{"speaker":"Jeff Reihl","startTime":1811.095,"endTime":1814.935,"body":"about AI. So, if you're a"},{"speaker":"Jeff Reihl","startTime":1811.095,"endTime":1814.935,"body":"technologist, we've got some"},{"speaker":"Jeff Reihl","startTime":1814.935,"endTime":1818.115,"body":"very interesting problems that"},{"speaker":"Jeff Reihl","startTime":1814.935,"endTime":1818.115,"body":"we're solving for our customers,"},{"speaker":"Jeff Reihl","startTime":1818.115,"endTime":1823.035,"body":"as well as the technology that"},{"speaker":"Jeff Reihl","startTime":1818.115,"endTime":1823.035,"body":"we're using. We're using state"},{"speaker":"Jeff Reihl","startTime":1823.035,"endTime":1827.175,"body":"of the art technologies. We're"},{"speaker":"Jeff Reihl","startTime":1823.035,"endTime":1827.175,"body":"hosting in the cloud, where, as"},{"speaker":"Jeff Reihl","startTime":1827.175,"endTime":1830.415,"body":"a technologist, has never been a"},{"speaker":"Jeff Reihl","startTime":1827.175,"endTime":1830.415,"body":"better time to be part of RELX."},{"speaker":"Vijay Raghavan","startTime":1830.0,"endTime":1836.0,"body":"The other thing"},{"speaker":"Vijay Raghavan","startTime":1830.0,"endTime":1836.0,"body":"I would add to that YS is that"},{"speaker":"Vijay Raghavan","startTime":1836.0,"endTime":1839.54,"body":"we aren't dogmatic about where"},{"speaker":"Vijay Raghavan","startTime":1836.0,"endTime":1839.54,"body":"our talent comes from within"},{"speaker":"Vijay Raghavan","startTime":1839.78,"endTime":1843.62,"body":"technology. We do strongly"},{"speaker":"Vijay Raghavan","startTime":1839.78,"endTime":1843.62,"body":"encourage lateral movement"},{"speaker":"Vijay Raghavan","startTime":1843.62,"endTime":1852.995,"body":"within our divisions, and we try"},{"speaker":"Vijay Raghavan","startTime":1843.62,"endTime":1852.995,"body":"to do it across divisions as"},{"speaker":"Vijay Raghavan","startTime":1852.995,"endTime":1853.048,"body":"well. That's another thing that"},{"speaker":"Vijay Raghavan","startTime":1852.995,"endTime":1853.048,"body":"we share, as Jeff pointed out,"},{"speaker":"Vijay Raghavan","startTime":1853.048,"endTime":1853.092,"body":"but it's certainly important"},{"speaker":"Vijay Raghavan","startTime":1853.048,"endTime":1853.092,"body":"that if someone has an"},{"speaker":"Vijay Raghavan","startTime":1853.092,"endTime":1853.14,"body":"inclination for data, you know,"},{"speaker":"Vijay Raghavan","startTime":1853.092,"endTime":1853.14,"body":"they don't necessarily have a"},{"speaker":"Vijay Raghavan","startTime":1853.14,"endTime":1856.865,"body":"computer science background,"},{"speaker":"Vijay Raghavan","startTime":1853.14,"endTime":1856.865,"body":"that's so passe these days to"},{"speaker":"Vijay Raghavan","startTime":1856.865,"endTime":1860.765,"body":"say what was your degree. It's"},{"speaker":"Vijay Raghavan","startTime":1856.865,"endTime":1860.765,"body":"really important to first look"},{"speaker":"Vijay Raghavan","startTime":1860.765,"endTime":1863.705,"body":"broadly at what a person's"},{"speaker":"Vijay Raghavan","startTime":1860.765,"endTime":1863.705,"body":"aptitude is and what they've"},{"speaker":"Vijay Raghavan","startTime":1863.705,"endTime":1866.465,"body":"accomplished and what they"},{"speaker":"Vijay Raghavan","startTime":1863.705,"endTime":1866.465,"body":"aspire to do, and move them"},{"speaker":"Vijay Raghavan","startTime":1866.525,"endTime":1869.225,"body":"across laterally, even before"},{"speaker":"Vijay Raghavan","startTime":1866.525,"endTime":1869.225,"body":"they get that next promotion."},{"speaker":"YS Chi","startTime":1869.48,"endTime":1873.44,"body":"That is a perfect point"},{"speaker":"YS Chi","startTime":1869.48,"endTime":1873.44,"body":"from which I can launch the last"},{"speaker":"YS Chi","startTime":1873.44,"endTime":1879.14,"body":"segment of this, which is about"},{"speaker":"YS Chi","startTime":1873.44,"endTime":1879.14,"body":"looking forward for our people,"},{"speaker":"YS Chi","startTime":1879.5,"endTime":1882.8,"body":"not just the 12,000 people"},{"speaker":"YS Chi","startTime":1879.5,"endTime":1882.8,"body":"within your organisations, but"},{"speaker":"YS Chi","startTime":1882.8,"endTime":1886.58,"body":"the other 25,000 people that are"},{"speaker":"YS Chi","startTime":1882.8,"endTime":1886.58,"body":"not in the tech organisation."},{"speaker":"YS Chi","startTime":1887.18,"endTime":1891.68,"body":"So, can you each perhaps share"},{"speaker":"YS Chi","startTime":1887.18,"endTime":1891.68,"body":"some of your insights about what"},{"speaker":"YS Chi","startTime":1891.68,"endTime":1896.705,"body":"should they expect in their"},{"speaker":"YS Chi","startTime":1891.68,"endTime":1896.705,"body":"work, as is affected by"},{"speaker":"YS Chi","startTime":1896.705,"endTime":1901.865,"body":"technology, and your advice to"},{"speaker":"YS Chi","startTime":1896.705,"endTime":1901.865,"body":"them of what they should be"},{"speaker":"YS Chi","startTime":1901.865,"endTime":1907.625,"body":"doing, so that they remain very"},{"speaker":"YS Chi","startTime":1901.865,"endTime":1907.625,"body":"good at what they do, despite"},{"speaker":"YS Chi","startTime":1907.625,"endTime":1911.525,"body":"the tsunami of technology that"},{"speaker":"YS Chi","startTime":1907.625,"endTime":1911.525,"body":"is coming at us, as a non"},{"speaker":"YS Chi","startTime":1911.525,"endTime":1913.685,"body":"technologist. Please."},{"speaker":"Jill Luber","startTime":1913.84,"endTime":1918.58,"body":"Yeah, I'll start"},{"speaker":"Jill Luber","startTime":1913.84,"endTime":1918.58,"body":"just because I've recently been"},{"speaker":"Jill Luber","startTime":1918.58,"endTime":1923.14,"body":"helping some of... in Elsevier,"},{"speaker":"Jill Luber","startTime":1918.58,"endTime":1923.14,"body":"we have a lot of editors of"},{"speaker":"Jill Luber","startTime":1923.14,"endTime":1927.52,"body":"journals, a lot. And so back to"},{"speaker":"Jill Luber","startTime":1923.14,"endTime":1927.52,"body":"your, not very technical, but"},{"speaker":"Jill Luber","startTime":1927.52,"endTime":1931.0,"body":"very good at what they do, but"},{"speaker":"Jill Luber","startTime":1927.52,"endTime":1931.0,"body":"they are sitting in language all"},{"speaker":"Jill Luber","startTime":1931.0,"endTime":1935.14,"body":"day. All day they're reading and"},{"speaker":"Jill Luber","startTime":1931.0,"endTime":1935.14,"body":"commenting and making sure that"},{"speaker":"Jill Luber","startTime":1935.14,"endTime":1939.685,"body":"the content they produce is of"},{"speaker":"Jill Luber","startTime":1935.14,"endTime":1939.685,"body":"high quality. The challenge that"},{"speaker":"Jill Luber","startTime":1939.685,"endTime":1943.405,"body":"I give to that team is, if you"},{"speaker":"Jill Luber","startTime":1939.685,"endTime":1943.405,"body":"find yourself doing something"},{"speaker":"Jill Luber","startTime":1943.405,"endTime":1947.425,"body":"over and over and over and it's"},{"speaker":"Jill Luber","startTime":1943.405,"endTime":1947.425,"body":"a repetitive task, please raise"},{"speaker":"Jill Luber","startTime":1947.425,"endTime":1950.425,"body":"that, let us know. Let the"},{"speaker":"Jill Luber","startTime":1947.425,"endTime":1950.425,"body":"technology team know. We may"},{"speaker":"Jill Luber","startTime":1950.425,"endTime":1953.065,"body":"have a way. We've already talked"},{"speaker":"Jill Luber","startTime":1950.425,"endTime":1953.065,"body":"about generative AI, we've"},{"speaker":"Jill Luber","startTime":1953.065,"endTime":1956.125,"body":"talked about agents, just"},{"speaker":"Jill Luber","startTime":1953.065,"endTime":1956.125,"body":"internally do we have a way to"},{"speaker":"Jill Luber","startTime":1956.125,"endTime":1960.91,"body":"help our teams do what they need"},{"speaker":"Jill Luber","startTime":1956.125,"endTime":1960.91,"body":"to do. Spend their cognitive"},{"speaker":"Jill Luber","startTime":1960.91,"endTime":1964.33,"body":"load in the right places by"},{"speaker":"Jill Luber","startTime":1960.91,"endTime":1964.33,"body":"getting rid of some of those"},{"speaker":"Jill Luber","startTime":1964.33,"endTime":1967.45,"body":"repetitive tasks. It feels more"},{"speaker":"Jill Luber","startTime":1964.33,"endTime":1967.45,"body":"natural for technologists to"},{"speaker":"Jill Luber","startTime":1967.45,"endTime":1970.15,"body":"have that conversation, and they"},{"speaker":"Jill Luber","startTime":1967.45,"endTime":1970.15,"body":"think, if I'm doing something"},{"speaker":"Jill Luber","startTime":1970.15,"endTime":1976.09,"body":"repetitive, I should automate"},{"speaker":"Jill Luber","startTime":1970.15,"endTime":1976.09,"body":"it. But it can apply to anyone,"},{"speaker":"Jill Luber","startTime":1976.39,"endTime":1982.036,"body":"really, anyone in the company,"},{"speaker":"Jill Luber","startTime":1976.39,"endTime":1982.036,"body":"if you're doing repetitive"},{"speaker":"Jill Luber","startTime":1982.036,"endTime":1982.059,"body":"tasks, there's probably a way to"},{"speaker":"Jill Luber","startTime":1982.036,"endTime":1982.059,"body":"automate it, and we can take"},{"speaker":"Jill Luber","startTime":1982.059,"endTime":1982.795,"body":"some of that, again, that"},{"speaker":"Jill Luber","startTime":1982.059,"endTime":1982.795,"body":"cognitive load, and free up some"},{"speaker":"Jill Luber","startTime":1982.795,"endTime":1986.155,"body":"time to do more things. That's"},{"speaker":"Jill Luber","startTime":1982.795,"endTime":1986.155,"body":"what I encourage that team. Just"},{"speaker":"Jill Luber","startTime":1986.515,"endTime":1988.435,"body":"take note of what it is you do"},{"speaker":"Jill Luber","startTime":1986.515,"endTime":1988.435,"body":"often."},{"speaker":"Vijay Raghavan","startTime":1988.975,"endTime":1989.455,"body":"Great point."},{"speaker":"Jeff Reihl","startTime":1989.66,"endTime":1992.78,"body":"Yeah, and I think"},{"speaker":"Jeff Reihl","startTime":1989.66,"endTime":1992.78,"body":"you want to experiment. We want"},{"speaker":"Jeff Reihl","startTime":1992.78,"endTime":1996.5,"body":"to encourage experimentation. If"},{"speaker":"Jeff Reihl","startTime":1992.78,"endTime":1996.5,"body":"you're in a sales organisation,"},{"speaker":"Jeff Reihl","startTime":1996.5,"endTime":1999.5,"body":"what kind of tools can help you"},{"speaker":"Jeff Reihl","startTime":1996.5,"endTime":1999.5,"body":"do your job better? Marketing,"},{"speaker":"Jeff Reihl","startTime":1999.74,"endTime":2004.18,"body":"customer support. As Jill"},{"speaker":"Jeff Reihl","startTime":1999.74,"endTime":2004.18,"body":"mentioned, it can affect any of"},{"speaker":"Jeff Reihl","startTime":2004.18,"endTime":2009.58,"body":"our roles and help us improve."},{"speaker":"Jeff Reihl","startTime":2004.18,"endTime":2009.58,"body":"But I would also suggest that"},{"speaker":"Jeff Reihl","startTime":2009.58,"endTime":2014.545,"body":"you be adaptive. If you know"},{"speaker":"Jeff Reihl","startTime":2009.58,"endTime":2014.545,"body":"your role is going to change,"},{"speaker":"Jeff Reihl","startTime":2014.605,"endTime":2019.225,"body":"and because this will have an"},{"speaker":"Jeff Reihl","startTime":2014.605,"endTime":2019.225,"body":"impact on all of our roles. How"},{"speaker":"Jeff Reihl","startTime":2019.225,"endTime":2022.285,"body":"can we leverage this technology?"},{"speaker":"Jeff Reihl","startTime":2019.225,"endTime":2022.285,"body":"How can we learn more about this"},{"speaker":"Jeff Reihl","startTime":2022.285,"endTime":2025.945,"body":"technology to see how it can"},{"speaker":"Jeff Reihl","startTime":2022.285,"endTime":2025.945,"body":"improve the way that we work,"},{"speaker":"Jeff Reihl","startTime":2025.945,"endTime":2029.905,"body":"make us more efficient, make us"},{"speaker":"Jeff Reihl","startTime":2025.945,"endTime":2029.905,"body":"more effective, allow us to"},{"speaker":"Jeff Reihl","startTime":2029.905,"endTime":2034.405,"body":"contribute even more to the"},{"speaker":"Jeff Reihl","startTime":2029.905,"endTime":2034.405,"body":"company. And so, really have"},{"speaker":"Jeff Reihl","startTime":2034.405,"endTime":2037.63,"body":"that kind of learning approach"},{"speaker":"Jeff Reihl","startTime":2034.405,"endTime":2037.63,"body":"where, hey, I'm just going to"},{"speaker":"Jeff Reihl","startTime":2037.63,"endTime":2040.27,"body":"try some of this stuff out and"},{"speaker":"Jeff Reihl","startTime":2037.63,"endTime":2040.27,"body":"see what it what is capable of"},{"speaker":"Jeff Reihl","startTime":2040.27,"endTime":2040.63,"body":"doing."},{"speaker":"Vijay Raghavan","startTime":2042.46,"endTime":2045.28,"body":"Yeah, great"},{"speaker":"Vijay Raghavan","startTime":2042.46,"endTime":2045.28,"body":"points. The one thing I will add"},{"speaker":"Vijay Raghavan","startTime":2045.28,"endTime":2048.58,"body":"is, I think we've all heard the"},{"speaker":"Vijay Raghavan","startTime":2045.28,"endTime":2048.58,"body":"cliché that it's not AI that's"},{"speaker":"Vijay Raghavan","startTime":2048.58,"endTime":2062.288,"body":"going to take your job, it's"},{"speaker":"Vijay Raghavan","startTime":2048.58,"endTime":2062.288,"body":"going to be somebody else that"},{"speaker":"YS Chi","startTime":2054.46,"endTime":2054.517,"body":"This is why Vijay"},{"speaker":"Vijay Raghavan","startTime":2054.46,"endTime":2056.619,"body":"...to some"},{"speaker":"Vijay Raghavan","startTime":2054.46,"endTime":2056.619,"body":"extent, that's a little glib,"},{"speaker":"Vijay Raghavan","startTime":2056.673,"endTime":2059.858,"body":"because there are going to be"},{"speaker":"Vijay Raghavan","startTime":2056.673,"endTime":2059.858,"body":"jobs that, in the fullness of"},{"speaker":"Vijay Raghavan","startTime":2059.912,"endTime":2063.205,"body":"time, will be taken over by AI."},{"speaker":"Vijay Raghavan","startTime":2059.912,"endTime":2063.205,"body":"It's just one of those things"},{"speaker":"Vijay Raghavan","startTime":2062.0,"endTime":2071.48,"body":"If I can ask"},{"speaker":"Vijay Raghavan","startTime":2062.288,"endTime":2062.444,"body":"knows how to use AI that's going"},{"speaker":"Vijay Raghavan","startTime":2062.288,"endTime":2062.444,"body":"to take your job..."},{"speaker":"Vijay Raghavan","startTime":2063.259,"endTime":2066.013,"body":"that, as it becomes more"},{"speaker":"Vijay Raghavan","startTime":2063.259,"endTime":2066.013,"body":"advanced, you can see that"},{"speaker":"Vijay Raghavan","startTime":2066.067,"endTime":2069.306,"body":"happening. But in the short"},{"speaker":"Vijay Raghavan","startTime":2066.067,"endTime":2069.306,"body":"term, back to Jeff's point about"},{"speaker":"Vijay Raghavan","startTime":2069.36,"endTime":2072.167,"body":"being adaptive and being a"},{"speaker":"Vijay Raghavan","startTime":2069.36,"endTime":2072.167,"body":"learning organisation and"},{"speaker":"Vijay Raghavan","startTime":2071.0,"endTime":2071.038,"body":"to"},{"speaker":"Vijay Raghavan","startTime":2071.0,"endTime":2071.038,"body":"wonderful thing, until"},{"speaker":"YS Chi","startTime":2071.48,"endTime":2295.07,"body":"and an awful lot of"},{"speaker":"YS Chi","startTime":2071.48,"endTime":2295.07,"body":"sharing across the talent to"},{"speaker":"YS Chi","startTime":2072.221,"endTime":2075.568,"body":"learning individual, it's really"},{"speaker":"YS Chi","startTime":2072.221,"endTime":2075.568,"body":"incumbent in every one of us,"},{"speaker":"YS Chi","startTime":2075.622,"endTime":2078.592,"body":"whether you're a technologist or"},{"speaker":"YS Chi","startTime":2075.622,"endTime":2078.592,"body":"not, to learn what the"},{"speaker":"YS Chi","startTime":2078.646,"endTime":2081.993,"body":"capabilities of AI are. It's not"},{"speaker":"YS Chi","startTime":2078.646,"endTime":2081.993,"body":"that easy, actually, because,"},{"speaker":"YS Chi","startTime":2082.047,"endTime":2085.286,"body":"for example, I'm using ChatGPT"},{"speaker":"YS Chi","startTime":2082.047,"endTime":2085.286,"body":"Enterprise right now. Often I"},{"speaker":"YS Chi","startTime":2085.34,"endTime":2088.633,"body":"find myself fighting it because"},{"speaker":"YS Chi","startTime":2085.34,"endTime":2088.633,"body":"I think I know better, or I'm"},{"speaker":"YS Chi","startTime":2088.687,"endTime":2091.818,"body":"getting impatient, or whatever"},{"speaker":"YS Chi","startTime":2088.687,"endTime":2091.818,"body":"it might be. It starts with"},{"speaker":"YS Chi","startTime":2091.872,"endTime":2095.166,"body":"leadership actually. All of us"},{"speaker":"YS Chi","startTime":2091.872,"endTime":2095.166,"body":"encouraging ourselves and then"},{"speaker":"YS Chi","startTime":2095.22,"endTime":2098.513,"body":"encouraging our teams to get"},{"speaker":"YS Chi","startTime":2095.22,"endTime":2098.513,"body":"converse into these tools and be"},{"speaker":"YS Chi","startTime":2098.567,"endTime":2101.86,"body":"that person who uses AI to make"},{"speaker":"YS Chi","startTime":2098.567,"endTime":2101.86,"body":"ourselves more productive and"},{"speaker":"YS Chi","startTime":2101.914,"endTime":2103.48,"body":"augment our own capabilities."},{"speaker":"YS Chi","startTime":2295.07,"endTime":2300.29,"body":"make it actually work and at a"},{"speaker":"YS Chi","startTime":2295.07,"endTime":2300.29,"body":"speed that we can tolerate. I"},{"speaker":"YS Chi","startTime":2300.29,"endTime":2304.85,"body":"think we are now at a point"},{"speaker":"YS Chi","startTime":2300.29,"endTime":2304.85,"body":"where we have to do more"},{"speaker":"YS Chi","startTime":2304.85,"endTime":2311.51,"body":"experimentation, more open"},{"speaker":"YS Chi","startTime":2304.85,"endTime":2311.51,"body":"mindedness to look at different"},{"speaker":"YS Chi","startTime":2311.51,"endTime":2316.835,"body":"ways to solve our problems for"},{"speaker":"YS Chi","startTime":2311.51,"endTime":2316.835,"body":"our customers, and hope that"},{"speaker":"YS Chi","startTime":2317.195,"endTime":2321.095,"body":"when we do, that we share those"},{"speaker":"YS Chi","startTime":2317.195,"endTime":2321.095,"body":"experiences with others, so that"},{"speaker":"YS Chi","startTime":2321.635,"endTime":2327.215,"body":"we don't have to have it done"},{"speaker":"YS Chi","startTime":2321.635,"endTime":2327.215,"body":"37,000 times. I want to thank"},{"speaker":"YS Chi","startTime":2327.215,"endTime":2332.915,"body":"you all for sharing those wisdom"},{"speaker":"YS Chi","startTime":2327.215,"endTime":2332.915,"body":"with us today. As always, Vijay,"},{"speaker":"YS Chi","startTime":2332.915,"endTime":2336.635,"body":"you're my tutor and I will"},{"speaker":"YS Chi","startTime":2332.915,"endTime":2336.635,"body":"always bother you for technology"},{"speaker":"YS Chi","startTime":2336.635,"endTime":2341.48,"body":"questions that I can't answer"},{"speaker":"YS Chi","startTime":2336.635,"endTime":2341.48,"body":"myself. Jill keep solving those"},{"speaker":"YS Chi","startTime":2341.48,"endTime":2345.62,"body":"problems for us in this space of"},{"speaker":"YS Chi","startTime":2341.48,"endTime":2345.62,"body":"medicine and research, because I"},{"speaker":"YS Chi","startTime":2345.62,"endTime":2351.86,"body":"think that area just has so much"},{"speaker":"YS Chi","startTime":2345.62,"endTime":2351.86,"body":"to gain from what Jeff called"},{"speaker":"YS Chi","startTime":2351.86,"endTime":2358.28,"body":"the repetitiveness. And Jeff,"},{"speaker":"YS Chi","startTime":2351.86,"endTime":2358.28,"body":"please get out there and keep"},{"speaker":"YS Chi","startTime":2358.28,"endTime":2361.4,"body":"the pace going, because we love"},{"speaker":"YS Chi","startTime":2358.28,"endTime":2361.4,"body":"what LNLP has been doing the"},{"speaker":"YS Chi","startTime":2361.4,"endTime":2366.905,"body":"last two years in exploring"},{"speaker":"YS Chi","startTime":2361.4,"endTime":2366.905,"body":"partnerships and new way of"},{"speaker":"YS Chi","startTime":2366.905,"endTime":2370.085,"body":"doing things so quickly. Once"},{"speaker":"YS Chi","startTime":2366.905,"endTime":2370.085,"body":"again, thank you so much for"},{"speaker":"YS Chi","startTime":2370.085,"endTime":2374.105,"body":"spending the time with us today,"},{"speaker":"YS Chi","startTime":2370.085,"endTime":2374.105,"body":"and I think that you guys will"},{"speaker":"YS Chi","startTime":2374.105,"endTime":2376.085,"body":"get a lot of follow up"},{"speaker":"YS Chi","startTime":2374.105,"endTime":2376.085,"body":"questions."},{"speaker":"Vijay Raghavan","startTime":2377.525,"endTime":2378.725,"body":"Great. My"},{"speaker":"Vijay Raghavan","startTime":2377.525,"endTime":2378.725,"body":"pleasure."},{"speaker":"Jeff Reihl","startTime":2378.72,"endTime":2379.5,"body":"Thanks YS."},{"speaker":"YS Chi","startTime":2379.36,"endTime":2380.08,"body":"Thank you."},{"speaker":"Jill Luber","startTime":2380.44,"endTime":2380.965,"body":"Thank you."}]}