Can one feature store serve them all? What are important differences in capabilities between offerings? What will the evolution of feature stores bring us?
Where can I find blogs/stories with *concrete toy examples* of feature stores and their utility? I've seen many posting on feature stores over the past year, yet I still don't really understand. To those like myself that have not worked on large-scale production ML, it's pretty murky.
Hi Matthew! Not an article, but we'll be hosting a live webinar with Q&As next week with the VP Data of Tide (Financial Services) where he'll share Tide's journey to adopting a feature store for real-time ML use cases like fraud detection. Hopefully it may help with some of your questions? You can register on Tecton's website (www.tecton.ai).
Where can I find blogs/stories with *concrete toy examples* of feature stores and their utility? I've seen many posting on feature stores over the past year, yet I still don't really understand. To those like myself that have not worked on large-scale production ML, it's pretty murky.
Hi Matthew, that's a great idea for an article. Let me see if we can work on that one
Would still like to see this. Thanks!
Hi Matthew! Not an article, but we'll be hosting a live webinar with Q&As next week with the VP Data of Tide (Financial Services) where he'll share Tide's journey to adopting a feature store for real-time ML use cases like fraud detection. Hopefully it may help with some of your questions? You can register on Tecton's website (www.tecton.ai).