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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)

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Manage episode 348533844 series 3325368
Content provided by CloudFix. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CloudFix or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

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. Let us know what you think at [email protected].

  continue reading

25 episodes

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Manage episode 348533844 series 3325368
Content provided by CloudFix. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CloudFix or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

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. Let us know what you think at [email protected].

  continue reading

25 episodes

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