Practical AI The fastest way to build ML-powered apps
Jun 1, 2021
Tuhin Srivastava, Co-founder and CEO of BaseTen, shares insights on revolutionizing how data scientists create ML-powered applications. He discusses the shift from data scientists to machine learning engineers and the importance of practical skills. Tuhin highlights BaseTen's user-friendly features that allow seamless model deployment and API integration, significantly speeding up development processes. He also delves into the challenges of MLOps, advocating for transparency and collaboration in AI integration across various sectors.
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Valued Skills
- Data scientists who can deploy models with basic APIs are highly valued.
- The demand for machine learning engineers is increasing, surpassing the demand for general data scientists.
BaseTen Origin Story
- Tuhin Srivastava and his co-founders noticed the difficulty of productizing ML models.
- They saw data scientists building inefficient Flask APIs and struggling with deployment.
Excel Feedback Loop
- A healthcare company used a convoluted process involving Bash, Excel, and patient IDs to get doctor feedback.
- This inefficient workflow highlighted the need for streamlined model integration and feedback loops.