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Ryan Loney, Intel: Bringing Deep Learning to Enterprise Applications

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Manage episode 347277835 series 3417160
Content provided by Red Hat. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Red Hat 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.

There are a lot of publicly available data sets out there. But when it comes to specific enterprise use cases, you’re not necessarily going to be able to find one to train your models. To realize the power of AI/ML in enterprise environments, end users need an inference engine to run on their hardware. Ryan Loney takes us through OpenVINO and Anomalib, open toolkits from Intel that do precisely that. He looks specifically at anomaly detection in use cases as varied as medical imaging and manufacturing.

Want to read more about Anomalib? Check out the research paper that introduces the deep learning library: https://arxiv.org/abs/2202.08341

  continue reading

23 episodes

Artwork
iconShare
 
Manage episode 347277835 series 3417160
Content provided by Red Hat. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Red Hat 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.

There are a lot of publicly available data sets out there. But when it comes to specific enterprise use cases, you’re not necessarily going to be able to find one to train your models. To realize the power of AI/ML in enterprise environments, end users need an inference engine to run on their hardware. Ryan Loney takes us through OpenVINO and Anomalib, open toolkits from Intel that do precisely that. He looks specifically at anomaly detection in use cases as varied as medical imaging and manufacturing.

Want to read more about Anomalib? Check out the research paper that introduces the deep learning library: https://arxiv.org/abs/2202.08341

  continue reading

23 episodes

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