AWS Insiders is a fast-paced, entertaining and insightful look behind the scenes of AWS and cloud computing. Hosts Rahul Subramaniam and Hilary Doyle dig into the current state and the future of AWS by talking with the people and companies that know it best. It’s a show full of opinions, takeaways, and untold stories about the challenges, innovations and the mind-blowing promise of cloud computing.
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AWS Insiders is a fast-paced, entertaining and insightful look behind the scenes of AWS and cloud computing. Hosts Rahul Subramaniam and Hilary Doyle dig into the current state and the future of AWS by talking with the people and companies that know it best. It’s a show full of opinions, takeaways, and untold stories about the challenges, innovations and the mind-blowing promise of cloud computing.
Why Swami Sivasubramanian’s Data & Machine Learning Keynote was so heavy on data, and so light on ML and AI at re:Invent (Live from Las Vegas with Inawisdom)
AWS Insiders
19 minutes 59 seconds
2 years ago
Why Swami Sivasubramanian’s Data & Machine Learning Keynote was so heavy on data, and so light on ML and AI at re:Invent (Live from Las Vegas with Inawisdom)
Tuesday’s keynote from Swami Sivasubramanian - AWS VP of Data & Machine Learning, leaned much more into the “data” part than the “machine learning” part of his role. Data is a major theme at re:Invent this year. Rahul, Hilary and special guest Alex Kearns, AWS Consultant at Inawisdom (an AI/ML company), chat through why they think AWS is focused on data, and review their unfilled wish lists on further artificial intelligence and machine learning integration into the platform.
AWS Insiders
AWS Insiders is a fast-paced, entertaining and insightful look behind the scenes of AWS and cloud computing. Hosts Rahul Subramaniam and Hilary Doyle dig into the current state and the future of AWS by talking with the people and companies that know it best. It’s a show full of opinions, takeaways, and untold stories about the challenges, innovations and the mind-blowing promise of cloud computing.