The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Buy AND Build for Production Machine Learning with Nir Bar-Lev - #488
May 31, 2021
Nir Bar-Lev, co-founder and CEO of ClearML, shares insights from his extensive tech background including time at Google. He discusses the evolving landscape of machine learning platforms and the critical decision between building versus buying solutions. Nir emphasizes the importance of effective experiment management, the risks of relying solely on cloud vendors, and the balance needed to combat overfitting. He also touches on advancements in federated learning and how ClearML integrates innovative techniques to empower businesses in their AI journeys.
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Google's AI Efficiency
- Google used AI to reduce data center electricity consumption by 40%.
- Creating the prototype took three months, and full production rollout took over a year.
Wide vs. Deep Paradox
- Companies struggle to choose between wide, end-to-end MLOps platforms and deep, specialized tools.
- Advanced users often need both, creating a paradox in the market.
Buy and Build
- Offer modular MLOps solutions that allow for "buy and build."
- Customers can purchase the platform while still building custom components on top.