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...
Imagine a world where your data could last thousands of years without requiring even a watt of energy. The world is literally running out of data storage, and DNA may be the answer. DNA exceeds many times the storage density of magnetic tape or solid-state media and can store hundreds of petabytes in a mere gram of DNA!Esther Singer and Dave Landsman, Co-Chairs of the SNIA DNA Data Storage Alliance, explain the potential of DNA as a data storage medium and how it presents a sustainable soluti...
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...
