Welcome to Utilizing Tech, the podcast about emerging technology from Tech Field Day, part of The Futurum Group. Season 7 is presented by Solidigm and focuses on the question of AI Data Infrastructure and how that infrastructure is important for the future of artificial intelligence. Season 7: AI Data Infrastructure presented by Solidigm Season 6: Utilizing AI Season 5: Utilizing Edge Computing Season 4: Utilizing CXL Season 1-3: Utilizing AI
150 episodes transcribedWelcome 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 seaso...
Most people think AI in vehicles means autonomous driving, but there are a lot of other applications for the technology. Ever since Mercedes-Benz intr...
Businesses have long tried to use data to drive decisions, but over the last few years new big data and AI capabilities have appeared. In this episode...
Although we usually focus on the ways AI can displace workers, this technology can also create new jobs and help them. In this episode, Saiph Savage j...
Today’s storage devices (disks and SSDs) have processors and memory already, and this is the concept of computational storage. If drives can process d...
The MLOps community has grown dramatically recently, with security, a data-centric approach, ethical implications, and a growing and diverse community...
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 invest...
AI is everywhere these days, powering applications from the enterprise to industrial, medical, education, and mobility. In this episode, David Klee jo...
MLOps is similar to DevOps but focused on ML, and focuses on improving quality of delivery for artificial intelligence applications. In this episode,...
Developers of AI applications face many obstacles, but the chief challenge is simply that these are different from traditional software development pr...
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 wo...
You might think that 5G and AI are completely unrelated, but these new technologies support each other. Both are expressions of information theory, an...
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...
AI processing is appearing everywhere, running on just about any kind of infrastructure, from the cloud to the edge to end-user devices. Although we m...
Development of autonomous vehicles is an excellent example of machine learning applied to industrial IoT. In this episode, Alexander Noack of b-plus a...
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. Inst...
Industrial cameras and sensors are generating more data than ever, and companies are increasingly moving machine learning to the edge to meet it. This...
AI applications typically require massive volumes of data and multiple devices within the datacenter. Nvidia acquired Mellanox to bring them industry-...
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 Ten...
AI applications have large data volumes with lots of clients and conventional storage systems aren’t a good fit. In this episode, James Coomer from DD...
