What's New In Data

Data Science and AI with Sean Taylor (Chief Scientist at Motif Analytics, previously Data Science @ Facebook, Lyft)

Jul 27, 2023

40:50

AI Chapters

Episode notes

Introduction

2min

The Best Use Cases for SQL

5min

SQL: A Dead End for Sequence Analysis

4min

The Future of Forecasting in Data Science

5min

The Challenges of Data Science and Data Engineering

2min

The Importance of Seasonality in Forecasting

4min

Machine Learning and Lyft: A Competitive Advantage in a Two Sided Marketplace

4min

Why and How Data Teams Should Prioritize

2min

How to Gauge Growth Breakthroughs

4min

10.

The Role of a Chief Scientist at Motif Analytics

2min

11.

How to Make Your Customers Happy With Your Analytics Product

5min

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!

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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.