Sean Taylor is an industry veteran and expert in Data Science, AI, and ML. Sean is Chief Scientist at Motif Analytics: a paradigm-shifting toolkit for sequence analytics. His career accolades include leading core data science at Facebook and Lyft. Sean is also known for launching Prophet – a popular open-source forecasting framework leveraged at some of the world's largest companies.
We dive into Data Science and tie it back to Data Engineering. How does Data Science differ from Data Engineering? Do common Data Engineering skills such as SQL map into Data Science? Will Data Engineers have enough leverage and tooling to execute on AI initiatives? We also discuss experimentation with data.
Check out the episode to learn more!
Follow Sean Taylor on Twitter
Follow Sean Taylor on Linkedin
Learn more about Motif Analytics
What's New In Data is a data thought leadership series hosted by John Kutay who leads data and products at Striim. What's New In Data hosts industry practitioners to discuss latest trends, common patterns for real world data patterns, and analytics success stories.
Sean Taylor is an industry veteran and expert in Data Science, AI, and ML. Sean is Chief Scientist at Motif Analytics: a paradigm-shifting toolkit for sequence analytics. His career accolades include leading core data science at Facebook and Lyft. Sean is also known for launching Prophet – a popular open-source forecasting framework leveraged at some of the world's largest companies.
We dive into Data Science and tie it back to Data Engineering. How does Data Science differ from Data Engineering? Do common Data Engineering skills such as SQL map into Data Science? Will Data Engineers have enough leverage and tooling to execute on AI initiatives? We also discuss experimentation with data.
Check out the episode to learn more!
Follow Sean Taylor on Twitter
Follow Sean Taylor on Linkedin
Learn more about Motif Analytics
What's New In Data is a data thought leadership series hosted by John Kutay who leads data and products at Striim. What's New In Data hosts industry practitioners to discuss latest trends, common patterns for real world data patterns, and analytics success stories.