US Edition
[Opinion] Why Data Architecture Matters For AI Workloads | Rob Schmit, Egen
This story is only covered by news sources that have yet to be evaluated by the independent media monitoring agencies we use to assess the quality and reliability of news outlets on our platform. Learn more here.2 Articles
2 Articles
Opinion on Wednesday Artificial Intelligence (AI) offers companies seemingly limitless possibilities – from process automation through data analysis to personalized customer approach. But this also brings new challenges: Modern AI workloads not only require enormous computing power, but also place special demands on cooling, power supply and reliability of data centers. Intelligent risk management and specialized programs are in demand that go b…
Why Data Architecture Matters For AI Workloads | Rob Schmit, Egen
In this episode of “An Eye on AI,” we sat down with Rob Schmit, Principal Architect at Egen, about data platform requirements for AI implementations. The discussion addresses how organizations can build data foundations that support AI initiatives beyond model training. Schmit argues that organizations using off-the-shelf AI models still need robust data platforms to evaluate model performance in their specific environments. Standard evaluation …
Coverage Details
Bias Distribution
- There is no tracked Bias information for the sources covering this story.
To view factuality data please Upgrade to Premium
