Understanding Machine Learning Features and Platforms

Gaetan Castelein (@gaetcast, VP Marketing at @tectonai) talks about the complexities of building AI models, features and deploying AI into production for real-time applications. SHOW: 745 CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw NEW TO CLOUD? CHECK OUT - "CLOUDCAST BASICS" SHOW SPONSORS: AWS Insiders is an edgy, entertaining podcast about the services and future of cloud computing at AWS. Listen to AWS Insiders in your favorite podcast player. Cloudfix Homepage Find "Breaking Analysis Podcast with Dave Vellante" on Apple, Google and Spotify Keep up to data with Enterprise Tech with theCUBE Reduce the complexities of protecting your workloads and applications in a multi-cloud environment. Panoptica provides comprehensive cloud workload protection integrated with API security to protect the entire application lifecycle. Learn more about Panoptica at panoptica.app SHOW NOTES: Tecton (homepage) State of Applied Machine Learning 2023 Report Hello Fresh adopts Tecton - Good article on features and feature stores What is real-time machine learning? Feature Platform vs. Feature Store Topic 1 - Welcome to the show. Tell us a little bit about your background Topic 2 - Let’s start with some terminology. A lot of our listeners might be relatively new to Machine Learning. I’m still coming up to speed and I actually spent more time than usual just wrapping my head around the concepts and terms and piecing them all together. What is a feature? Why is it important? How many features does ChatGPT 3 have or ChatGPT4? Topic 3 - How is a feature different from a model? Both are needed, why? Topic 4 - I’ve always wondered exactly what a data scientist does. Is this where the term Feature Engineering comes into play? Who turns the data into features and picks the appropriate model? Topic 5 - Early Machine Learning was analytical ML (offline/batch), correct? How is that different from operational ML (online/batch) and real-time ML? Topic 6 - Now that we have all that out of the way. What is a Feature Platform? How does it integrate into an organization’s existing Devops workflows and/or CI/CD pipelines? (Features as Code) How is it different from a Feature Store? Topic 7 - How do you know if the features + model yield a good result? How is prediction accuracy typically measured? FEEDBACK? Email: show at the cloudcast dot net Twitter: @thecloudcastnet FEEDBACK? Email: show @ the enterprise ai show dot com Bluesky: @TheEntAIShow.bsky.social Twitter/X: @TheEntAIShow Instagram: @TheEntAIShow