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SNIA Experts on Data

Podcast de SNIA

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Tecnología y ciencia

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Listen to interviews with SNIA experts on data who cover a wide range of topics on both established and emerging technologies. SNIA is an industry organization that develops global standards and delivers vendor-neutral education on technologies related to data.

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27 episodios

Portada del episodio Q&A Podcast for "From Data to Decisions: Understanding How AI Models Learn"

Q&A Podcast for "From Data to Decisions: Understanding How AI Models Learn"

In the most recent webinar in the SNIA Data, Storage & Networking [https://www.snia.org/groups/dsn] “AI Stack” webinar series, “From Data to Decisions: Understanding How AI Models Learn [https://www.snia.org/educational-library/data-decisions-understanding-how-ai-models-learn],” Cal Foshee and Eric Gamble provided an in-depth look at how computer vision models learn. They shared specific techniques and concrete examples of how to train and test these models, drawing on their many years of experience. In this interview, Cal and Eric, take a deeper dive on the questions around how computer vision really works in production: small models working in sequence, bounding boxes as signal gates, and the relentless pursuit of pattern over assumption. Practical tips cover OCR, rotation, error bucketing, versioning, and why “fail fast” is more than a slogan. And webinar moderator, Erik Smith, explains what the “AI Stack” series is all about.  SNIA is an industry organization that develops global standards and delivers vendor-neutral education on technologies related to data.  In these interviews, SNIA experts on data cover a wide range of topics on both established and emerging technologies. About SNIA: * Website [https://www.snia.org]  * Educational Library [https://www.snia.org/library] * X/Twitter  [https://twitter.com/SNIA] * LinkedIn [https://linkedin.com/company/snia/]

9 de ene de 2026 - 50 min
Portada del episodio “AI Stack” Webinar Series: Intro to AI/ML & FAQ

“AI Stack” Webinar Series: Intro to AI/ML & FAQ

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 extracting features from massive datasets) •       Understanding the "token economy" monetization model where AI services charge based on inputs/outputs  •       Examining the shift toward on-premises AI deployments driven by data sovereignty, security concerns, and cloud cost management  •       Implementing security through data validation, sanitization, and guardrails to protect AI systems from misuse  •       Recognizing AI's transformative potential beyond current generative applications into agentic systems and physical embodiments   If you'd like to contribute to the AI Stack Webinar Series or have topics you'd like to see covered, contact the SNIA Data, Storage & Networking (DSN) chair at dsn-chair@snia.org or visit the SNIA website at snia.org.  SNIA is an industry organization that develops global standards and delivers vendor-neutral education on technologies related to data.  In these interviews, SNIA experts on data cover a wide range of topics on both established and emerging technologies. About SNIA: * Website [https://www.snia.org]  * Educational Library [https://www.snia.org/library] * X/Twitter  [https://twitter.com/SNIA] * LinkedIn [https://linkedin.com/company/snia/]

11 de sep de 2025 - 38 min
Portada del episodio Introducing SNIA Storage.AI

Introducing SNIA Storage.AI

SNIA Chair, J Metz, introduces SNIA Storage.AI™, an open standards project for efficient data services related to AI workloads. Storage.AI will focus on industry-standard, non-proprietary, and neutral approaches to solving AI-related data problems to optimize the performance, efficiency, and cost-effectiveness of AI workloads. Hear about the industry leaders who have combined forces to solve AI-related data challenges. Learn more at snia.ai SNIA is an industry organization that develops global standards and delivers vendor-neutral education on technologies related to data.  In these interviews, SNIA experts on data cover a wide range of topics on both established and emerging technologies. About SNIA: * Website [https://www.snia.org]  * Educational Library [https://www.snia.org/library] * X/Twitter  [https://twitter.com/SNIA] * LinkedIn [https://linkedin.com/company/snia/]

4 de ago de 2025 - 46 min
Portada del episodio Agentic AI - Use Cases, Benefits, Risks - Webinar Preview

Agentic AI - Use Cases, Benefits, Risks - Webinar Preview

Agentic AI represents the next evolution in artificial intelligence, moving beyond generating content to executing actions autonomously on behalf of users. We explore how this technology differs from generative AI and why enterprise storage professionals need to prepare for its rapid adoption. On June 26, 2025, our SNIA experts will  host a live webinar, "Agentic AI - Use Cases, Benefits, Risks [https://www.brighttalk.com/webcast/663/642054?utm_source=SNIA&utm_medium=brighttalk&utm_campaign=642054]," where they will discuss: • How Agentic AI generates actions, using tools or skills it has at its disposal • How Agentic AI is accelerating even faster than generative AI, making preparation essential • Finding appropriate fit-for-purpose use cases for successful and practical implementation • Real-world applications in action SNIA is an industry organization that develops global standards and delivers vendor-neutral education on technologies related to data.  In these interviews, SNIA experts on data cover a wide range of topics on both established and emerging technologies. About SNIA: * Website [https://www.snia.org]  * Educational Library [https://www.snia.org/library] * X/Twitter  [https://twitter.com/SNIA] * LinkedIn [https://linkedin.com/company/snia/]

11 de jun de 2025 - 15 min
Portada del episodio Webinar Preview - Everything You Want to Know About RDMA But Were Too Proud to Ask

Webinar Preview - Everything You Want to Know About RDMA But Were Too Proud to Ask

Our SNIA Experts on Data are here to explain the basics of RDMA and discuss why now is the right time for an “Everything You Want to Know About RDMA but were too proud to ask” webinar. Our expert panel, featuring Michal Kalderon, a Distinguished Engineer from Marvell and Rohan Mehta, a Senior Software Engineer from Microsoft have over a decade of experience developing RDMA solutions, they are joined by Erik Smith, Chair of SNIA Data, Storage & Networking Community and a Distinguished Engineer at Dell. Together, they share insights on this critical communication technology that enables direct memory-to-memory transfers without CPU involvement. This podcast is a quick preview of the SNIA webinar, "Everything You Wanted to Know About RDMA But Were Too Proud to Ask," which you can watch here https://bit.ly/RDMATooProudtoAsk [https://urldefense.com/v3/__https:/bit.ly/RDMATooProudtoAsk__;!!LpKI!myTBbsM-wS9OMo_KOmxTsZhbUJvJpGWnb_pMcS6jVLVIpuQ_Z55oqtekNRCnFAyZjhSwAuCTWr0dyztuisT3bw$]. SNIA is an industry organization that develops global standards and delivers vendor-neutral education on technologies related to data.  In these interviews, SNIA experts on data cover a wide range of topics on both established and emerging technologies. About SNIA: * Website [https://www.snia.org]  * Educational Library [https://www.snia.org/library] * X/Twitter  [https://twitter.com/SNIA] * LinkedIn [https://linkedin.com/company/snia/]

21 de mar de 2025 - 13 min
Soy muy de podcasts. Mientras hago la cama, mientras recojo la casa, mientras trabajo… Y en Podimo encuentro podcast que me encantan. De emprendimiento, de salid, de humor… De lo que quiera! Estoy encantada 👍
Soy muy de podcasts. Mientras hago la cama, mientras recojo la casa, mientras trabajo… Y en Podimo encuentro podcast que me encantan. De emprendimiento, de salid, de humor… De lo que quiera! Estoy encantada 👍
MI TOC es feliz, que maravilla. Ordenador, limpio, sugerencias de categorías nuevas a explorar!!!
Me suscribi con los 14 días de prueba para escuchar el Podcast de Misterios Cotidianos, pero al final me quedo mas tiempo porque hacia tiempo que no me reía tanto. Tiene Podcast muy buenos y la aplicación funciona bien.
App ligera, eficiente, encuentras rápido tus podcast favoritos. Diseño sencillo y bonito. me gustó.
contenidos frescos e inteligentes
La App va francamente bien y el precio me parece muy justo para pagar a gente que nos da horas y horas de contenido. Espero poder seguir usándola asiduamente.

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