The past 24th of February, I attended the AWS Innovate – AI/ML Edition, Technical Decision Maker Track; it was an exciting event, so I’d like to share some quick takeaways:
📌 Scaling ML as a Journey; 7 fundamentals steps: Culture, Team Enablement, Data Strategy, PoC, Repeatability, Scale, Evolution.
📌 S3 strong after-read-consistency: was introduced at last re:Invent, but now I had time to check it out properly. It’s an essential feature for migrations or Data Lakes to ensure having the latest version of documents or files.
📌 New AWS AI Services such as Amazon Lookout for Vision: also introduced at last re:Invent; again, now I had the chance to try it. It seems very appropriate for industrial applications, such as finding defective parts.
📌 The proper way to architect AWS ML Apps: ML Lens
📌 Secure Machine Learning for Regulated Industries: I especially enjoyed this presentation, quite hand-on and lots of RL security practices for Sagemaker.
I’m still going through the other tracks, so expect a full post in the coming weeks.
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