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
156 episodes transcribedDevelopment 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...
AI and analytics needs access to massive volumes of data, but we are constantly reminded of the importance of securing data. How can data be protected...
Most organizations have a vast amount of so-called unstructured data, and this poses a major risk for operations. But what if there was an AI-powered...
Big data really wasn't all that big until modern analytics and machine learning applications appeared, but now storage solutions have to scale capacit...
When it comes to AI, it's garbage in, garbage out: A model is only as good as the data used. In this episode of Utilizing AI, Ayodele Odubela joins Ch...
Biases can creep into any data set, and these can cause trouble when this data is used to train an AI model. Alf Rehn, Professor of Innovation, Design...
Productive use of AI requires the application of existing models to new applications through a process called transfer learning. In this episode, High...
BrainChip is developing a novel ultra low power “neuromorphic” AI processor that can be embedded in literally any electronic device, rather than centr...
AI is impacting IT operations more quickly than expected, and companies like Splunk are leveraging it to augment staff capabilities. Josh Atwell joins...
Ken Grohe of Weka discusses various business use cases for AI-enabled applications with Chris Grundemann and Stephen Foskett. AI is coming into practi...
Per Nyberg of Stradigi AI discusses "blue collar" AI applications with Stephen Foskett. What problems can businesses solve with AI technology? M...
There are many “last mile” items on the enterprise checklist, and companies are struggling to connect everything together. In this episode, Monte Zweb...
AI will be part of everything we do in the future, not replacing us but augmenting our work, and this is especially true in information security. In t...
Just as data analytics transformed business intelligence so is artificial intelligence transforming data science. In this episode, Mel Greer of Intel...
In this episode, we ask Red Hat about the platform requirements for AI applications in production. What makes AI applications special and how does thi...
