Scott Stephenson (@deepgramscott, CEO of @deepgram) talks about building Voice AI into your applications.
SHOW: 841
SHOW TRANSCRIPT: The Cloudcast #841 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS"
SHOW NOTES:
- Deepgram (homepage)
Topic 1 - Welcome to the show. Before we jump into Deepgram and Voice AI, let’s talk a little bit about your background and then what led you to start the company.
Topic 2 - Let’s start by stepping back and looking at the bigger picture. Many of us have interacted with voice technologies, from Siri to Alexa to various call-center “agents”. From a maturity perspective, where are we in terms of voice-centric interactions with computing systems?
Topic 3 - When businesses think about including computer-aided voice-centric interactions to their applications, what’s the typical thought process for where it makes sense to the business, how it represents their brand, etc.?
Topic 4 - How does Deepgram bring Voice AI to applications? What do developers have to think about when adding Voice AI to an existing application, or to think about building a voice-centric application from the start?
Topic 5 - What are some of the most common use-cases when Voice AI adds new value to the application? What areas are starting to push the edges of possible?
Topic 6 - How do companies usually go about collecting user-feedback about the voice-centric interactions?
Topic 7 - If you look forward a year or two, where do you see Voice AI types of technologies evolving?
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Modern applications require modern platforms and team collaboration to deliver velocity, stability and security. So how do we overcome the hurdles to making platform adoption work?
SHOW: 840
SHOW TRANSCRIPT: The Cloudcast #840 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw
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WHY DO PLATFORMS MAKE SENSE FOR MODERN APPLICATIONS?
- Reduce the cognitive load on application teams
- Deliver self-service capabilities where it makes sense
- Deliver consistent services across teams, with efficient operations
- Reduce costs, reduce snowflakes, etc.
WHAT ARE THE PLATFORM HURDLES, AND HOW TO OVERCOME THEM?
- The jump from initial projects to scalable delivery across apps and teams
- Application teams wanting snowflake environments
- Buying and budgeting centers not aligning to platform delivery
- Getting application team buy-in to platform services
- Getting cross-functional team alignment and coordination
- Balancing stability and pace of innovation
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Delivered is your window in the minds of people behind successful digital products.
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2024 has been evolving very quickly for Cloud and AI. So as we get to the mid-year point, we stop and answer many of your mailbag questions.
SHOW: 839
SHOW TRANSCRIPT: The Cloudcast #839 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS"
SHOW NOTES:
- Amazon acqui-hiring - Adept.io
- Inflection
- Amazon building ChatGPT Competitor
- https://www.businessinsider.com/amazon-andy-jassy-wooed-wall-street-overhauled-bloated-tech-giant-2024-7
- The InfraRed Report
MAILBAG QUESTIONS:
Topic 1 - At this stage of the GenAI era, obviously the “picks and shovels” are winning (e.g. NVIDIA). But beyond that, are there obvious winners and losers, or areas that look more promising?
Topic 2 - In the near-term or long-term, do you think there will be big differentiation in the LLM models, or do they eventually commoditized?
Topic 3 - There is some talk that Amazon (&/or) AWS are behind in GenAI, but obviously they are ahead with cloud. Do you think GenAI offerings will be enough to get companies to move clouds, or will it just be another cloud workload and companies already use multiple clouds?
Topic 4 - Do you have any thoughts about how GenAI (or any AI) will impact IT architectural thinking over the next couple of years?
Topic 5 - Do you think the recent rounds of layoffs, or slow downs in hiring, will have a big impact on IT organizations?
Topic 6 - What happens if GenAI doesn’t turn out to be as successful as so many people are forecasting? What happens to all the other potential technology innovations while that plays out?
Topic 7 - If you were advising someone on a tech career choice in 2024, what type of guidance would you give someone?
Topic 8 - DevOps had a long run as “the IT cultural change” for a while. Do you see any of the other tech/culture trends starting to get more popular (FinOps, Platform Engineering, MLOps, etc.)?
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Since the GenAI era took off, most of the discussion has been about AI in the public cloud. But is there a market for AI in the Private Cloud as well?
SHOW: 838
SHOW TRANSCRIPT: The Cloudcast #838 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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DATA GRAVITY AND BUSINESS CONCERNS ABOUT GEN AI
- Most large companies keep their data on-premises
- Companies are concerned about mixing their data with public LLMs
- Companies are unsure about hallucinations and their quality of their offerings
WHAT WILL THE ENTERPRISE MEASURE FOR GEN AI SUCCESS?
- Some GenAI projects will measure replacement activities (e.g. chatbots for call centers)
- The enterprise hasn’t established a baseline for acceptable incorrect information yet
- Enterprises may use the public cloud GPUs to train or tune private models
- Enterprises will large the consumer market in usage of GenAI - need to identify use-cases
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Chris Chapman (CTO at @MacStadium) talks about Mac-centric backend development, DevOps tools chains, and the best ways to take advantage of MacStadium.
SHOW: 837
SHOW TRANSCRIPT: The Cloudcast #837 Transcript
SHOW VIDEO: https://www.youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw
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SHOW NOTES:
- MacStadium (homepage)
- Mac Virtualization, using Orka 3.0
Topic 1 - Welcome to the show. Before we dive into all things MacStadium, give us a little bit of your background, as well as some of your focus areas as CTO of MacStadium
Topic 2 - Everybody I know has an iPhone, and so many people use a Mac (or iPad) as their daily computing device. Help us understand the breadth of companies that use Macs for the backend of their application environments?
Topic 3 - We spend a lot of time focusing on DevOps and the things people do to run cloud environments. Honestly, it’s a mess of all sorts of tools. Apple has always made the complex seem simple. What does Mac-centric DevOps look like?
Topic 4 - We know (mostly) where cloud-provider responsibilities stop and customer-responsibilities start in places like AWS. Does that change much in MacStadium?
Topic 5 - You are/were the creator of Orka, virtualization for Macs. Walk us through the basics of how that works, and it seems like it would be extremely powerful when looking at CI pipelines.
Topic 6 - What are some of the best ways that companies take advantage of MacStadium?
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In technology, we’re afforded many freedoms that enable us to work, live and play in new ways. But it’s important to reflect on technology freedoms and how they might change in the future.
SHOW: 836
SHOW TRANSCRIPT: The Cloudcast #836 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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TECHNOLOGY PROVIDES US WITH A LOT OF FREEDOMS
- Freedom of jobs, of location, or company or group to work with
- Freedom of technology choices
- Freedom to choose when to use technology vs. human skills
BUT THE FREEDOMS DON’T ALWAYS COME WITHOUT A PRICE
- Companies get acquired and technologies go away/discontinued
- Technologies stop being supported
- Technologies might get too expensive to continue to use
- Laws might change how/what technologies can be used
- Some services are free, in exchange for your data
FEEDBACK?
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Brian Gracely (@bgracely) and Brandon Whichard (@bwhicard) discuss stories in Cloud and AI from June 2024, and then get into spirited discussions about RTO and Tech Exec poaching.
SHOW: 835
SHOW TRANSCRIPT: The Cloudcast #835 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"
SHOW NOTES:
SEGMENTS COVERED IN THE SHOW:
- Good Old Fashioned Cloud News
- The AI Innovation Continues
- Trend 1 - Will the AI boom take a summer vacation?
- Trend 2 - Have AI expectations set up Enterprise CIOs for a rude awakening?
- Trend 3 - We’re at the mid-year point. All the cloud providers are focusing on AI. Do you expect that we’ll see a long period of stalled cloud innovation, or do you expect any interesting moves in the 2nd half of the year?
- Trend 4 - The big tech companies are now all sitting on record-setting market capitalizations. Do you expect any of them to go on an acquisition spree?
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Delivered is your window in the minds of people behind successful digital products.
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As open source companies and projects enter a transition phase of funding, licensing, community participation, let’s look at the characteristics of successful open source projects.
SHOW: 834
SHOW TRANSCRIPT: The Cloudcast #834 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
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WHAT DOES SUCCESS MEAN IN OPEN SOURCE?
- There are 1000s of widely used open source projects, from Linux to Java to MySQL to Docker to Kubernetes to MongoDB
- Less projects are successful from a monetization perspective, but that’s about individual business models
- Plenty of companies during the 2010s-2020s treated open source as “marketing” and not really a development model
WHAT DOES COMMERCIAL SUCCESS LOOK LIKE IN OPEN SOURCE?
- Wide usage infrastructure - Linux, Kubernetes, OpenStack
- Complex projects vs. “it just works”
- Critical security - Vault
- Complex data services - MongoDB, Kafka
- Many companies contributing (share the costs) - Linux, Kubernetes
- Management / Observability Engines - Crossplane, Prometheus
- Programming Languages - Java, Rust, Go, Python, Ruby, etc.
- Cloud services hiding complexity
- Cloud services stretching across clouds
- Single vendor projects - often move to non-OSS licensing
- Single vendor projects - difficult to maintain at scale
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Matt Butcher (@technosophos, CEO at @FermyonTech) talks about the evolution of WASM, the relationship with Kubernetes, and managing Developer Experiences with platforms.
SHOW: 833
SHOW TRANSCRIPT: The Cloudcast #832 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"
SHOW NOTES:
- Fermyon (homepage)
- Fermyon Open Source
- Building Apps with WebAssembly (Cloudcast Eps. 633)
- Kubernetes is (not) a cost optimization problem (InfoWeek)
Topic 1 - Welcome back to the show. It’s been a couple of years since the last time you were on. Great to have you back. For anyone that didn’t listen to that show, or doesn’t know you, give us a quick update on your background.
Topic 2 - Let’s begin by talking about the Web Assembly community and the work around the open source project. Where does it stand today, what are the main focus areas?
Topic 3 - Fermyon delivers WASM as a PaaS platform and is focused on “serverless” delivery for applications. You’ve got a background in PaaS; what lessons have we learned about PaaS and what’s changed over the years?
Topic 4 - A couple years ago, Web Assembly (WASM) was on the short-list of “Hot” topics at KubeCon, even though it just launched. Fast forward to 2024, and it feels like it’s hard to get visibility on anything that isn’t called AI. How is WASM navigating the CNCF communities these days?
Topic 5 - WASM has an interesting relationship with Kubernetes. How do you think about the relationship? What do people get right, and what do they keep getting wrong?
Topic 6 - What are some of the interesting use-cases people are using WASM for thess days?
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As we look at the continued expansion of the CNCF Landscape and the end of Cloud 1.0 era, are there any trends or patterns that identify which technology or categories will succeed vs fail?
SHOW: 832
SHOW TRANSCRIPT: The Cloudcast #832 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"
SHOW SPONSOR:
SHOW NOTES:
- What’s Stranger than AI? These new Job Titles (ZDNet)
- “Outliers” book and the “10,000 Hours Rule” (Malcom Gladwell)
CAN TECHNOLOGY OVERCOME OUR DESIRE TO NOT COLLABORATE?
- Should technology cross functional areas?
- Can technology be successful when crossing functional areas?
CAN CROSS-FUNCTIONAL TECHNOLOGIES SUCCEED?
- Service Mesh
- PaaS / Developer Portals
- GitOps
- FinOps
- XX as code
FEEDBACK?
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Delivered is your window in the minds of people behind successful digital products.
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Reid Robinson (@Reidoutloud_, Lead AI Product Manager @Zapier) talks about automation, application integrations and how to integrate AI in projects with Zapier
SHOW: 831
SHOW TRANSCRIPT: The Cloudcast #831 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"
SHOW NOTES:
- Zapier AI homepage
- Zapier integration with OpenAI
- Zapier Central - AI Workspace to Teach AI Bots to work with Apps
- Zapier Chatbots - Build AI Chatbots
- Zapier Canvas - Diagram AI Workflows
Topic 1 - Welcome to the show, Reid. Before we get started, tell us a little bit about your background, and what you focus on now at Zapier.
Topic 2 - Lots of individuals and companies use Zapier for a wide variety of automated tasks and application integrations. Recently, the company has added a number of ways to integrate AI into those workflows. At a high-level, how did you go about thinking about adding AI into the platform?
Topic 3 - What are some of the most common AI usage-patterns and integrations that you’re seeing companies build around?
Topic 4 - As Zapier began to integrate with OpenAI (or any 3rd-party LLM), how did you think about it as a source of integration? What did you have to think about regarding filtering, security and hallucinations with ChatGPT?
Topic 5 - We often hear discussions about AI agents interacting with other AI agents to complete tasks, or evolve the outputs of multi-step, complex tasks. Is that an area where we might expect to see things like the new Zapier AI tools playing a role?
Topic 6 - What are some of the best ways to get started building AI apps around these new integrations and tools?
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Let’s explore how today’s early AI era is like the unicorn-filled, heavily VC-funded early 2020s. (Part 3 of 3)
SHOW: 830
SHOW TRANSCRIPT: The Cloudcast #830 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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SHOW SPONSOR:
SHOW NOTES:
- Part 1: How Today's AI is like the Early 2000s (Cloudcast Eps:826)
- Part 2: How Today’s AI is like the Early 2020s (Cloudcast Eps.828)
THE EARLY 2020s were SHAPED by COVID and FREE CASH
- VCs were pouring money into startups; “unicorns” were a daily occurrence
- Many assumed that “today’s normal” would be the “forever normal”
- Business models were drowned out by technology fascination
DO CURRENT AI ECONOMICS AND FUNDING LEVELS MAKE SENSE?
- VCs and cloud providers are funding infrastructure like it’s 1997-2000
- Business models around AI are still being sought out
- Funding valuations have no basis in anything real, at least not yet
- Are we near an AI (economic) crash, or at least deflation of the bubble?
FEEDBACK?
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Solomon Hykes (@solomonstre, Co-Founder @Dagger_io) talks about the evolution of the container industry, fixing broken CI/CD systems, and modern DevOps.
SHOW: 829
SHOW TRANSCRIPT: The Cloudcast #829 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"
SPONSOR:
- Neo4j explores knowledge graphs and vector search (graphstuff.fm podcast)
- See what graphs can do for you at Neo4j.com/developer
SHOW NOTES:
- https://dagger.io/
- InfoQ Article on Dagger
- Daggar and GPTScript for AI (video)
- Tech Crunch Article
- Solomon’s first time on The Cloudcast - Episode #66
Topic 1 - Welcome back to the show. We’ve spoken a number of times over the years and we’ve been overdue to catch up. For the few listeners out there who might not be familiar, give everyone a quick intro and your background with Docker and containers prior to Dagger.
Topic 2 - Dagger has been around for a few years, coming out of stealth in 2022. If I understand Dagger correctly, it is a declarative model to abstract away CI/CD pipelines. What problem are you trying to solve?
Topic 2a - Anytime you add an abstraction layer, you potentially add overhead and complexity. What are your thoughts on this?
Topic 3 - Let’s go back to containers quickly. How has Containers as an “industry” changed over the years? How does that relate to what you are trying to do with Dagger?
Topic 3a - What lessons learned from Docker and even back to dotCloud days do you want to bring forward with Dagger?
Topic 4 - What metrics are organizations using to measure the performance and success of Dagger implementations? Is it velocity (number of deployments)? Reduction in friction?
Topic 4a - I get the advantage on the Dev side of DevOps, what’s in it for Ops?
Topic 5 - Dagger has three components, Dagger Engine, Dagger Cloud and Dagger SDK. Walk everyone through the offerings at a high level.
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Delivered is your window in the minds of people behind successful digital products.
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The introduction of cloud computing brought about a significant change on how we use technology with our businesses. Let’s look at the historical parallels to today’s AI for the Enterprise. (Part 2 of 3)
SHOW: 828
SHOW TRANSCRIPT: The Cloudcast #828
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
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SHOW NOTES:
- Part 1: How Today's AI is like the Early 2000s (Cloudcast Eps:826)
- Part 2: How Today’s AI is like the Early 2020s (Cloudcast Eps.828)
WHAT SHAPED THE EARLY 2010s?
- 2008 financial crash and less money available for technology (uncertainty)
- Increased frustration with corporate IT organizations (too much “no”)
- The possibilities of mobile computing and socially connected societies (abundance)
EARLY CLOUD WAS ALL ABOUT BREAKING AWAY FROM CORPORATE IT
- It’s a new generation of computing, so the future winner is unknown.
- Many companies are trying to have centralized IT policies - one size fits all
- Data governance and legal liability is driving corporate policies (education needed)
- Consumer AI is widely available and applicable to some job functions
- Executives are starting to talk about “AI First” policies
- Cloud-native and Cloud-migrated were very different things, with different results
FEEDBACK?
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Delivered is your window in the minds of people behind successful digital products.
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Brian Gracely (@bgracely) and Brandon Whichard (@bwhichard, from @SoftwareDefTalk) talk about all the major news stories in Cloud and AI from May 2024
SHOW: 827
SHOW TRANSCRIPT: The Cloudcast #827 Transcript
SHOW VIDEO: The Cloudcast YouTube Channel
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"
SHOW SPONSOR:
- Neo4j explores knowledge graphs and vector search (graphstuff.fm podcast)
- See what graphs can do for you at Neo4j.com/developer
SHOW NOTES:
Segments Covered in the Show:
- Good Old Fashioned Cloud News
- The AI Innovation Continues
- Trend 1 - Is anyone going to talk about Cloud anymore?
- Trend 2 - Is AI a real conversation with Enterprise yet, or does AI need to go through a consumer period first?
- Trend 3 - Every large acquisition was deemed a “terrible mistake” within a few months, according to the press - (e.g. Hashicorp, VMware)
- Trend 4 - Is April to June the new “trade show season”, or will it just be “always on” in the new AI world?
FEEDBACK?
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- Twitter: @cloudcastpod
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Delivered is your window in the minds of people behind successful digital products.
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Let’s put today’s AI era into some historic context by looking at the similarities and parallels to the explosion of the 1st wave of the consumer Internet. (Part 1 of 3)
SHOW: 826
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"
SHOW SPONSOR:
SHOW NOTES:
- Building the Information Super Highway (pre-2000)
- Executives discuss the Information Super Highway
- 2001 - A DotCom Bubble Odyssey (Cloudcast Eps.772)
- Part 1: How Today's AI is like the Early 2000s (Cloudcast Eps:826)
- Part 2: How Today’s AI is like the Early 2020s (Cloudcast Eps.828)
WE’RE FASCINATED BY THE IDEA OF TECHNOLOGY CHANGING EVERYTHING
- 2000s era Internet was going to change everything
- GenAI is predicted to change everything
MOST TECHNOLOGY’S SHIFT HAPPEN WITH CONSUMERS FIRST
- GenAI still can’t validate accuracy (e.g. hallucinations)
- GenAI is still extremely expensive to create, maintain
- GenAI still doesn’t have a widely-adopted business model
- Shadow GenAI groups will emerge in the Enterprise
- People are still mostly thinking about GenAI as a way to offload things they don’t want to do vs. improving their existing skills
FEEDBACK?
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Delivered is your window in the minds of people behind successful digital products.
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Tim Crawford (@tcrawford, CIO Advisor at @AVOAcom) talks about the challenges of the modern CIO, managing stability vs. innovation, and understanding the business value of tech.
SHOW: 825
SHOW TRANSCRIPT: The Cloudcast #825 Transcript
SHOW VIDEO: The Cloudcast YouTube Channel
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"
SHOW SPONSOR:
- Neo4j explores knowledge graphs and vector search (graphstuff.fm podcast)
- See what graphs can do for you at Neo4j.com/developer
SHOW NOTES:
Topic 1 - Tim, welcome back to the show! We’ve been friends for years, and it’s great to get you on today! We will discuss everything at the top of CIOs' minds today. Why don’t you give everyone a quick background on how you became known as the CIO Advisor?
Topic 2 - Before we go into trends over the last few years. Put everyone in a CIO mindset. What do they care about? How do they think about the intersection of technology and business? What keeps them up at night?
Topic 3 - We’ve heard many times CIOs have to balance two things: keeping the lights on (the boring side of the business that is often undifferentiated, and the innovative side that often moves the needle. A CIO’s job is to minimize the former and maximize the latter. Do you agree? How accurate is that statement?
Topic 4 - I’ll follow that up with a real-world example many organizations might be facing, one we’ve discussed on the show in the past. We’ll discuss VMware on one end of the stable, the keep the lights on model, and AI on the other end as an innovative technology that could differentiate. Let’s talk about VMware first…
Topic 4b - Now the other end of the spectrum, AI. Have we reached peak AI washing and craziness? Is the trough of disillusionment coming? How should a CIO think about it?
Topic 5 - Let’s talk about economics over the last few years. Zero-interest money has gone away for VCs and startups and we are seeing some big changes on the vendor side. How does this impact the people you talk to?
Topic 6 - Last topic, you were there and talked about Hashicorp when they rang the bell last week and then were bought 24 hours later. What was that like as someone who was there?
FEEDBACK?
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When you see the headline “<ex-employee> says <company> AI strategy is in chaos”, what does it really mean? Is any company’s AI strategy NOT in chaos at this point?
SHOW: 824
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"
SHOW NOTES:
- Ex-Google says Google's AI strategy is in chaos (Decoder)
- The Transformer Paper from Google (foundation of GenAI)
- NVIDIA coverage on Stratechery (Ben Thompson)
- DBRX LLM from Databricks
- Artic LLM from Snowflake
- OpenElm LLM from Apple
- OpenAI and Apple sign deal, Apple still wants a Google option
- IBM and Red Hat bring Open Source to AI with InstructLab
WE OVERESTIMATE IN 1YR, AND UNDERESTIMATE IN 10YRS
- “Most people overestimate what they can do in one year and underestimate what they can do in ten years.” - Bill Gates
DOES ANYONE REALLY HAVE THEIR AI STRATEGY FIGURED OUT?
- NVIDIA
- OpenAI
- Microsoft / Azure / GitHub
- Amazon / AWS
- Meta
- Apple
- IBM / Red Hat
- Oracle
- Snowflake
- Databricks
- VCs
- Startups
FEEDBACK?
- Email: show at the cloudcast dot net
- Twitter: @cloudcastpod
- Instagram: @cloudcastpod
- TikTok: @cloudcastpod
Delivered is your window in the minds of people behind successful digital products.
Listen on: Apple Podcasts Spotify
Jonas Rosland (@jonasrosland, Head of Open Source Community @CIQ) talks about using AI tools to accelerate building and communications in Open Source Software (OSS) communities. We also discuss the differences between Community Roles and Dev Rel.
SHOW: 823
SHOW TRANSCRIPT: The Cloudcast #823
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"
SHOW SPONSOR:
- Neo4j explores knowledge graphs and vector search (graphstuff.fm podcast)
- See what graphs can do for you at Neo4j.com/developer
SHOW NOTES:
- Jonas’ session abstract from All Things Open (ATO) 2023
- Session slides and description of the talk
- Hit Save! - Video Game Preservation Organization
- CIQ Enterprise Linux Platform
Topic 1 - Good Afternoon Jonas! Give everyone a quick background on your time building open-source communities and a bit about your foundation. We’ll dig into both areas today.
Topic 2 - We caught up at All Things Open last fall. You gave a fascinating talk on using AI tools to accelerate the building of OSS communities. Give everyone the backstory on how that topic and presentation came to be.
Topic 3 - This may be a dumb question, but DevRel is (still) all the rage. What is the difference between the approach to building OSS communities and the straight-up DevRel teams? How is success tracked in each? Are there solid metrics, or is it “fuzzy”?
Topic 4 - Sadly, as far as I can tell, the session wasn’t recorded. But, for me, the big takeaway was how much dabbling you were doing with the tools and your good and bad experiences. I learned a lot from a practical aspect. But, the AI industry and tools are moving so fast. What’s in your toolbox today and why?
Topic 5 - What are some of the gaps in the tools today? What’s missing?
Topic 6 - Let’s talk about your side gig. You were part of the founding team and are exec director of a video game preservation society, Hit Save! How did that come to be? What does that entail?
FEEDBACK?
- Email: show at the cloudcast dot net
- Twitter: @cloudcastpod
- Instagram: @cloudcastpod
- TikTok: @cloudcastpod
Delivered is your window in the minds of people behind successful digital products.
Listen on: Apple Podcasts Spotify
After just three years, AWS is making another change at the top of the leadership org-chart. What lessons can we learn from leadership transitions and what might come next?
SHOW: 822
SHOW TRANSCRIPT: The Cloudcast #822
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"
SHOW NOTES:
- Andy Jassy makes AWS leadership announcement
- “There’s no AI without the cloud”, says AWS CEO (Decoder podcast)
- Six things to know about the new AWS CEO, Matt Garmin
AWS HAS NEW LEADERSHIP. WHY NOW?
- Adam Selipsky is out, Matt Garmin is in. What does it mean?
- Why is AWS making the change now?
WHAT LESSONS CAN WE LEARN FROM SELIPSKY’S 3 YEARS AS AWS CEO
- Probably don’t take the job immediately after someone is the Nick Saban of tech
- Don’t be the complete opposite of the previous boss (wings guy vs. wine guy)
[Andy on X] Lead Amazon, married and father of two kids, big sports/music/film fan, experienced buffalo wings eater. Go Kraken!
[Adam on X] Husband & dad. Water skier/tennis player. Fan of Seahawks & Sounders. CEO at #AWS.
- [Andy Jassy] I’ve always had a lot of respect for Adam, and we met several times to discuss the possibility of coming back to lead AWS. In those conversations, we agreed that if he accepted the role, he’d likely do it for a few years, and that one of the things he’d focus on during that time was helping prepare the next generation of leadership.
- [Andy Jassy] Matt has an unusually strong set of skills and experiences for his new role. He’s very customer focused, a terrific product leader, inventive, a clever problem-solver, right a lot, has high standards and a meaningful bias for action.
- Realize when your job is to lead and inspire vs. producing the weekly report
- The post-ZIRP CEO of AWS
- 2021 - $62B, , 2022 - $80B, 2023 - $90B, 2024 - $100+B
- Lost key people
- Behind on GenAI vs. other clouds
- “Wartime CEO” vs. “Peacetime CEO”
FEEDBACK?
- Email: show at the cloudcast dot net
- Twitter: @cloudcastpod
- Instagram: @cloudcastpod
- TikTok: @cloudcastpod
Delivered is your window in the minds of people behind successful digital products.
Listen on: Apple Podcasts Spotify
Mark Collier (@sparkycollier, COO @openInfradev) talks about the advantages of open source AI and the intersection of OSS and AI transparency, safety, and potential regulations.
SHOW: 821
SHOW TRANSCRIPT: The Cloudcast #821
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"
SPONSOR:
- See what graphs can do for you at Neo4j.com/developer
SHOW NOTES:
- Mark’s Talk at ATO
- EU AI Act Passes
- How Tech Giants Cut Corners Harvest Data
- The EU Guide Act - A Guide for Developers
- OpenInfra Foundation
Topic 1 - Our topic for today is AI Safety and Regulation. I saw our guest speak at All Things Open here in Raleigh late last year and he is also a Cloudcast alumnus having been on the show previously talking about OpenStack and the OpenInfra Foundation. We’d like to welcome Mark Collier (Chief Operating Officer @ OpenInfra Foundation) for this discussion. Mark, welcome to the show.
Topic 2 - There’s a lot of news today about AI safety and regulation. The industry also seems to be caught up in an AI arms race of who has the bigger model, faster model, etc. OpenAI have become the early category leader but they might have started with good intentions, but, contrary to their name, they aren’t open… at all. One message in your talk is how open-source software will prevent the coming of the “AI overlords”. Tell everyone a bit of what you mean by this. What is the problem we are facing and many may not even realize it.
Topic 3 - I don’t want to call you old (I think we are about the same age), but you’ve seen some things. You’ve also been around OSS and foundations for a bit now. How can open source solve the problem?
Topic 4 - We hear a lot about AI regulation, but this seems to be a moving target. What is both the current and future state of AI regulation? In my opinion, we haven’t seen a lot of successful regulations to date. We saw recently the EU pass an AI Act. Is this the first of many? The start of a trend?
Topic 5 - Let’s talk about the “day job”. What’s new with OpenInfra Foundation these days?
Topic 6 - OpenStack releases are still going strong and you’ve even run out of letters on OpenStack releases and have rolled around on the alphabet and are back to C. This is the 29th release of OpenStack. What’s the news for the Caracal release?
FEEDBACK?
Delivered is your window in the minds of people behind successful digital products.
Listen on: Apple Podcasts Spotify
Happy Mothers Day! And let’s explore some new happenings at the intersection of open source and AI.
SHOW: 820
SHOW TRANSCRIPT: The Cloudcast #820
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"
SHOW NOTES:
- InstructLab Project (github homepage)
- LAB: Large-Scale Alignment for ChatBots (research paper)
- Granite LLMs (IBM research - Hugging Face)
- InstructLab: What is contributing to AI LLM models was easy? (Redmonk)
HAPPY MOTHERS DAY TO ALL THE MOMS
- Call you mom, be good to your wife, and be a role model for the young girls in your life
OPEN SOURCE MEETS AI
- The big AI question: 1 model, or many models?
- 2023 was the year of model diversity, and the beginnings of “open” models (Llama 2, Mistral, etc.)
- Can we make it easier to contribute to an open model?
- Can we create communities around models?
- Can we reduce the costs of expensive parts of AI?
- How can businesses bring their knowledge to a model, without security concerns about their data? (options like RAG (retrieval augmented generation) exist)
FEEDBACK?
- Email: show at the cloudcast dot net
- Twitter: @cloudcastpod
- Instagram: @cloudcastpod
- TikTok: @cloudcastpod
Delivered is your window in the minds of people behind successful digital products.
Listen on: Apple Podcasts Spotify
Malte Ubl (@cramforce, CTO @Vercel) talks about Front-End web development and clouds, how AI impacts front-end infrastructure, and impacts to the business.
SHOW: 819
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"
SHOW NOTES:
Topic 1 - Our topic for today is front-end development and front-end clouds, and we’ll also explore AI-generated front ends. Our guest is Malte Ubl, CTO at Vercel. Malte, welcome to the show. Give everyone a quick background on your time at Vercel and Google Search.
Topic 2 - Let’s start at the start. We hear all the time about front-end developers and back-end developers. What is your definition of a front-end and, more specifically, a front-end cloud?
Topic 3 - What are the most common use cases you see today? What problem are you solving when you talk to organizations?
Topic 4 - How much of a front-end is typically integrated with 3rd party services, and how much is build your own?
Topic 5 - Where does AI fit into this from a developer's perspective? Are we to the point where we can develop a front-end from a prompt?
Topic 6 - Let’s talk about the business side of this. Do companies typically have a “front-end problem”? If so, what does it look like, and how do they know?
FEEDBACK?
- Email: show at the cloudcast dot net
- Twitter: @cloudcastpod
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Delivered is your window in the minds of people behind successful digital products.
Listen on: Apple Podcasts Spotify
What are the key characteristics and red flags with today’s leaders in the tech industry? How to identify the leadership skills, the team building skills, and the execution skills.
SHOW: 818
SHOW TRANSCRIPT: The Cloudcast #818
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"
SHOW NOTES:
WHERE ARE THE LEADERS IN THEIR CAREERS?
- Are they a 1st time manager?
- Have they managed distributed teams? Managed multiple teams?
- Have they managed a P&L?
- Have they had significant success in the past? What was their role?
LEADERSHIP SKILLS, TEAM BUILDING, EXECUTION AND RED FLAGS
- Are you joining an established “team” or group that’s worked together before?
- Is the leader repeating a previous success, in a similar or different domain?
- What motivates the leader? What is their view on competition?
- What are the leader’s best skills? Do they recognize this?
- Does the leader augment their skills with the team around them? Do they recognize this?
- Does your personality mesh with the team you’re joining, or are you expecting to be a change agent?
FEEDBACK?
- Email: show at the cloudcast dot net
- Twitter: @cloudcastpod
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- TikTok: @cloudcastpod
Delivered is your window in the minds of people behind successful digital products.
Listen on: Apple Podcasts Spotify
Aaron (@aarondelp) and Brian (@bgracely) talk about all the major news stories in Cloud and AI from April 2024
SHOW: 817
TRANSCRIPT: Cloudcast #817 - CNOTM - April 2024
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"
SHOW NOTES:
Segments Covered in the Show:
- Good Old Fashioned Cloud News
- The AI Innovation Continues - Speed Round
- Trend 1 - 2024 is going to be a year of big announcements
- Trend 2 - We’re starting to see some (early) reality set in with AI
- Trend 3 - Lots of things are being lost between Broadcom/VMware and AI discussions
FEEDBACK?
- Email: show at the cloudcast dot net
- Twitter: @cloudcastpod
- Instagram: @cloudcastpod
- TikTok: @cloudcastpod
Delivered is your window in the minds of people behind successful digital products.
Listen on: Apple Podcasts Spotify
Enabling Voice AI in Applications
36:53
Overcoming the Hurdles of Deploying Platforms
28:20
The Mid Year (2024) Mailbag
42:59
Is there a Market for Private Cloud AI?
25:55
Scaling Apple Apps with MacStadium
28:57
The Challenges of Maintaining Freedoms
18:35
Cloud News of the Month - June 2024
51:08
Identifying Successful Open Source Projects
33:12
WASM, Developer Experiences and Kubernetes
45:48
DevSecFinPlatMLOps
27:44
Zapier + AI integration
28:50
How Today's AI is like the Early 2020s
19:59
Modern Approaches to Continuous Integration
36:52
How Today's AI is like the Early 2010s
25:53
Cloud News of the Month - May 2024
56:39
How Today's AI is like the Early 2000s
26:58
Understanding and Advising CIOs
38:32
Is Everyone's AI Strategy in Chaos?
35:49
Using AI to Build Tech Communities
35:19
Lessons Learned from AWS Leadership Transition
33:35
AI Safety and Regulation
31:42
Bringing Open Source to AI
26:37
Front-End Clouds and Web Development
27:34
Identifying Leadership Traits to Follow
24:57
Cloud News of the Month - April 2024
43:41