Brian A. Randell

Staff Developer Advocate, GitHub

Brian A. Randell

Staff Developer Advocate, GitHub

Brian A. Randell is a Staff Developer Advocate at GitHub where he works to ensure GitHub can help everyone deliver solutions faster and more securely. For more than 30 years, he has been building software solutions. As a Partner at MCW Technologies, he educated teams on Microsoft technologies via writing and training—both in-person and on-demand. He’s been a consultant for companies small and large, worldwide, including Fortune 100 companies like Microsoft. Brian is a passionate software craftsman who still enjoys coding as he helps teams to improve their processes from idea to release. He was a Microsoft MVP for 18 years and has co-authored books, written magazine articles, and more. When not working, Brian enjoys spending time with his wife, two children, dog, and extended family.

Brazos Grand Ballroom
Elevating Innovation: GitHub & JFrog Paving the Way Forward
Tue 10:45AM - 11:30AM
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    2024-09-10T10:45:00+0000
    2024-09-10T11:30:00+0000
    09/10/2024 10:45 am
    09/10/2024 11:30 am
    Elevating Innovation: GitHub & JFrog Paving the Way Forward
    What happens when the leaders in code management and GenAI join forces with the binary management and software supply chain security experts? Join us to discover game-changing advances in the world’s top DevOps and DevSecOps platforms and how together, JFrog and GitHub are creating tectonic shifts in the development landscape.
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Brazos F
AI & ML in Practice: Toy vs Enterprise Use Cases
Tue 03:50PM - 04:30PM
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    2024-09-10T15:50:00+0000
    2024-09-10T16:30:00+0000
    09/10/2024 3:50 pm
    09/10/2024 4:30 pm
    AI & ML in Practice: Toy vs Enterprise Use Cases
    Artificial Intelligence and Machine Learning are current buzzwords, and organizations are jumping at the chance to cash in on new opportunities afforded by new developments in this space. Gartner estimates 90% of NEW apps will contain AI by 2027. But what exactly are we developing? How do we actively integrate AI and ML technologies in ways that are beneficial to developers, our organizations, and our customers? What kinds of applications have an ROI that makes sense and what proof of concepts turn out to be toys that never make it to production? Join this expert panel discussion about relevant use cases to pursue and perhaps some to avoid or that may require more thought before implementation.
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