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Podcast Season 3

How AI and ML are used in Network Management with Tom Hollingsworth of Gestalt IT

Local and wide-area networks can get complex very quickly, so it’s no surprise that AI-powered network management is making a huge impact in the enterprise

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Podcast Season 3

Platform Considerations For Deploying AI At Scale with Tony Paikeday of NVIDIA

Enterprises are working to simplify the process of deploying and managing systems to support AI applications

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Podcast Season 3

Using AI to Assess Risk with Mike O’Malley of SenecaGlobal

Machine learning excels at finding needles in haystacks, even unexpected ones, and this helps organizations to assess risks

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Podcast Season 3

A Look Back at Season 2

Welcome back to another season of Utilizing AI! In this first episode of season 3, we are taking a look at some of the most memorable moments of season 2. 

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Podcast Season 2

Taking Artificial Intelligence on the Road with Christophe Couvreur of Cerence

Most people think AI in vehicles means autonomous driving, but there are a lot of other applications for the technology

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Podcast Season 2

Bringing AI to the Executive Suite with Josh Epstein of AtScale

Businesses have long tried to use data to drive decisions, but over the last few years new big data and AI capabilities have appeared

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Podcast Season 2

How AI Can Help Displaced Workers with Saiph Savage

Although we usually focus on the ways AI can displace workers, this technology can also create new jobs and help them

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Podcast Season 2

Offloading ML Processing to Storage Devices with NGD Systems

Today’s storage devices (disks and SSDs) have processors and memory already, and this is the concept of computational storage

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Podcast Season 2

How the ML Community Has Evolved in 2021 with Demetrios Brinkmann and David Aponte

The MLOps community has grown dramatically recently, with security, a data-centric approach, ethical implications, and a growing and diverse community rising in 2021

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Podcast Season 2

The Global Imbalance of AI Investment with Sofia Trejo

Look at a list of the top companies in the world, and most are focused in the United States, China, and Europe, and this causes an imbalance of investment in AI