The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) re:Invent Roundup 2021 with Bratin Saha - #542
Dec 6, 2021
Bratin Saha, Vice President and General Manager of AI and ML at AWS, breaks down key ML advancements announced at the recent re:Invent conference. He discusses exciting new products like Canvas and SageMaker Studio Lab, emphasizing their potential to democratize machine learning. The conversation also dives into challenges of industrialization in MLOps and optimizing model training. Saha highlights the innovative Ground Truth Plus for efficient data labeling, showcasing how these tools aim to enhance developer productivity and accessibility in machine learning.
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No-Code ML with Canvas
- Start with the use case (e.g., churn prediction).
- Access and transform data, build and deploy models without coding.
Canvas Avoids No-Code Trap
- No-code environments can limit advanced users.
- Canvas addresses this by generating exportable code for SageMaker Studio.
Easy Start with Studio Lab
- Use SageMaker Studio Lab to get started with machine learning quickly.
- It offers free compute, storage, and pre-packaged tools, no AWS account needed.