Code Comments

By Red Hat

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Whether it’s deploying financial applications to the cloud, building resilient 5G networks, or bringing deep learning to the assembly line, there’s a lot involved in building technology. And none of us can do it alone. We have to roll up our sleeves and help each other when we stumble on the way to the finish line. And when we get there, we should share what we’ve learned. Host Burr Sutter, a lifelong developer advocate and community organizer, sits down with experienced technologists from across the industry to trade stories—and what they’ve learned from their experiences.

Episode Date
David Duncan, Amazon Web Services: Aligning With Open Source Principles

It’s one thing to talk about your open source principles. It’s another entirely to build them into your workflows. How does a large company like Amazon Web Services actually make it work? David Duncan, Sr Manager Partner Solutions Architect at AWS, explains that being open with partners and customers throughout the development process is key. He talks about ensuring there are no one-way doors, and how collaboration helps to produce a better experience for OpenShift on AWS as well as combining the power of the Cloud Control API with Ansible automation.

Nov 29, 2022
Sandeep Sharma, Tech Mahindra: Rethinking Networks In Telecommunications

Success in telecommunications relies on bridging the tangible with the intangible. It isn’t just the availability of software, or the speed of a network; It's the blend of network services and physical infrastructure necessary to deliver an end-to-end experience between datacenters and customers. Sandeep Sharma, Vice President of Tech Mahindra, gives us a history of networks, how they’ve changed, and how companies are meeting increasingly complex market demands.

Nov 15, 2022
Ryan Loney, Intel: Bringing Deep Learning to Enterprise Applications

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:

Nov 01, 2022
Introducing Code Comments

With technology, there's so many advances happening, it’s really hard to keep up. There’s a lot involved, and many lessons to learn along the way. Ultimately, none of us can do it alone. In this new original podcast, host and technologist Burr Sutter sits down with leaders in the tech industry about the challenges encountered along the path to progress. Subscribe to listen on your favorite podcast platforms.

Oct 13, 2022