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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

Balancing Data Security and Data Processing with Arti Raman of Titaniam

AI and analytics needs access to massive volumes of data, but we are constantly reminded of the importance of securing data

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Podcast Season 2

Using AI to Assess Unstructured Data with Concentric

Most organizations have a vast amount of so-called unstructured data, and this poses a major risk for operations

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Podcast Season 2

AI and Analytics Are Driving a New Kind of Storage with Brad King of Scality

Big data really wasn’t all that big until modern analytics and machine learning applications appeared, but now storage solutions have to scale capacity and performance like never before