The SNIA Data, Storage & Networking (DSN) Community launched a multi-part AI Stack Webinar Series designed to provide education and a comprehensive view of the AI landscape from data pipelines to model deployment. Hear experts, Erik Smith, Justin Potuznik, and Tim Lustig answer AI frequently asked questions: • Exploring the differences between AI (the broader concept), machine learning (systems learning from data), and deep learning (neural networks e...
All content for SNIA Experts on Data is the property of SNIA and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
The SNIA Data, Storage & Networking (DSN) Community launched a multi-part AI Stack Webinar Series designed to provide education and a comprehensive view of the AI landscape from data pipelines to model deployment. Hear experts, Erik Smith, Justin Potuznik, and Tim Lustig answer AI frequently asked questions: • Exploring the differences between AI (the broader concept), machine learning (systems learning from data), and deep learning (neural networks e...
Will AI revolutionize the way businesses operate and the way we live? Hear AI pioneer Dr. Rita Wouhaybi, an expert focused on AI, share her excitement over the rapid advances in AI technology. She explains why she is obsessed with the concept of Edge AI and how Edge breaks down some of the fundamental assumptions that we have had about AI for years.Looking beyond large language models and generative AI, she raises questions on all that we still need to learn about AI and her anticipation of a...
SNIA Experts on Data
The SNIA Data, Storage & Networking (DSN) Community launched a multi-part AI Stack Webinar Series designed to provide education and a comprehensive view of the AI landscape from data pipelines to model deployment. Hear experts, Erik Smith, Justin Potuznik, and Tim Lustig answer AI frequently asked questions: • Exploring the differences between AI (the broader concept), machine learning (systems learning from data), and deep learning (neural networks e...
