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: 745CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwNEW 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 HomepageFind "Breaking Analysis Podcast with Dave Vellante" on Apple, Google and SpotifyKeep up to data with Enterprise Tech with theCUBEReduce 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.appSHOW NOTES:Tecton (homepage)State of Applied Machine Learning 2023 ReportHello Fresh adopts Tecton - Good article on features and feature storesWhat is real-time machine learning?Feature Platform vs. Feature StoreTopic 1 - Welcome to the show. Tell us a little bit about your backgroundTopic 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 netTwitter: @thecloudcastnet