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The Impact of ML and AI in Different Industries feat. Michael Galarnyk of CNVRG.IO
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Manage episode 352112577 series 1414202
Content provided by The Red Hat X podcast series. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Red Hat X podcast series 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://player.fm/legal.
Machine learning is transforming the tech sector and other industries like retail, manufacturing, supply chain, banking, healthcare, education, and insurance. The problem is that bringing machine learning into these fields requires not only experts who can train models, but also the ability to deploy and maintain ML models in production. This is a common pain point in many organizations. This is where MLOps is useful. MLOps is a set of practices that aims to deploy and maintain machine learning models in production reliably and efficiently.
Link to academic paper discussed in this episode:
https://arxiv.org/pdf/2209.09125.pdf
175 episodes
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Archived series ("Inactive feed" status)
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This feed was archived on April 10, 2023 06:03 (
Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.
What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.
Manage episode 352112577 series 1414202
Content provided by The Red Hat X podcast series. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Red Hat X podcast series 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://player.fm/legal.
Machine learning is transforming the tech sector and other industries like retail, manufacturing, supply chain, banking, healthcare, education, and insurance. The problem is that bringing machine learning into these fields requires not only experts who can train models, but also the ability to deploy and maintain ML models in production. This is a common pain point in many organizations. This is where MLOps is useful. MLOps is a set of practices that aims to deploy and maintain machine learning models in production reliably and efficiently.
Link to academic paper discussed in this episode:
https://arxiv.org/pdf/2209.09125.pdf
175 episodes
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Similar to Red Hat X Podcast Series
Technical interviews about software topics.
…
continue reading
Stacey Higginbotham (formerly Sr. Editor at Fortune) and co-host Kevin Tofel discuss the latest news and analysis of the Internet of Things. Covers Consumer IoT, Industrial IoT and Enterprise IoT. Guests include Vint Cerf, Om Malik, and people from Amazon.com, AT&T, IBM Watson and more.
…
continue reading
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…
continue reading
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…
continue reading
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…
continue reading
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…
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continue reading
Babbage is our weekly podcast on science and technology, named after Charles Babbage—a 19th-century polymath and grandfather of computing. Host Alok Jha talks to our correspondents about the innovations, discoveries and gadgetry shaping the world. Published every Wednesday. If you’re already a subscriber to The Economist, you’ll have full access to all our shows as part of your subscription. For more information about Economist Podcasts+, including how to get access, please visit our FAQs pa ...
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