Companies that pioneered application of AI at scale did so using in-house ML platforms (facebook, uber, LinkedIn etc.). These capabilities are now available in off-the-shelf products. The rush to MLOps has led to too much choice. There are hundreds of tools and at least 40 platforms available: Im…
Investors: Up your ante at the iMerit ML DataOps Summit 2021
The “oil bidness,” as they say in Texas, is so 20th century. Data, artificial intelligence and machine learning are the power triad fueling the future. If you’re an investor placing bets on the data operations market, you can’t afford to miss the iMerit ML DataOps Summit on December 2, 2021. This free, one-day virtual conference […]
TechCrunch+ roundup: 5 pitch deck slides to fix, initial viable product, MLOps acceleration
This is a fantastic time to found a startup, but unless you plan to bootstrap it, you will still need to go through the laborious exercise of crafting a pitch deck.
MLOpsに関するビデオセッションを公開しました！ #DevIO2021
データアナリティクス事業本部インテグレーション部機械学習チームの貞松です（長い） 10/5(火)にDevelopersIO 2021 Decadeのビデオセッションとして「機械学習エンジニアはMLOpsの夢を見るか？」と […]…