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Podcast Season 2

Microsoft is Democratizing AI with Steph Locke

Microsoft plays a large role in enterprise IT applications, from the desktop to the datacenter to the Azure cloud, and the company is active in the world of AI as well

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Podcast Season 2

The Intersection of 5G and AI with EdgeQ

You might think that 5G and AI are completely unrelated, but these new technologies support each other

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Podcast Season 2

Expanding ML Models Beyond Current Limits with Groq

Machine learning models have grown tremendously in recent years, with some having hundreds of billions of data points, and we wonder how big they can get

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Podcast Season 2

Running AI Everywhere and In Everything with Intel

AI processing is appearing everywhere, running on just about any kind of infrastructure, from the cloud to the edge to end-user devices

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Podcast Season 2

Taking Machine Learning on the Road with IBM and B-Plus

Development of autonomous vehicles is an excellent example of machine learning applied to industrial IoT

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Podcast Season 2

How AI Drives the Need for Next-Generation Infrastructure Architectures with Liqid

We are on the cusp of a totally new architecture for enterprise IT, and this change toward composability is being driven by applications like AI

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Podcast Season 2

Optimizing ML at the Edge for Industrial IoT with Sastry Malladi of FogHorn

Industrial cameras and sensors are generating more data than ever, and companies are increasingly moving machine learning to the edge to meet it

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Podcast Season 2

Enabling AI Applications through Datacenter Connectivity with Nvidia

AI applications typically require massive volumes of data and multiple devices within the datacenter

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Podcast Season 2

Using ML to Optimize ML with Luis Ceze of OctoML

Training and optimizing a machine learning model takes a lot of compute resources, but what if we used ML to optimize ML? Luis Ceze created Apache Tensor Virtual Machine (TVM) to optimize ML models and has now founded a company, OctoML, to leverage this technology

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Podcast Season 2

AI Needs Non-Traditional Storage Solutions with James Coomer of DDN

AI applications have large data volumes with lots of clients and conventional storage systems aren’t a good fit