The data engineering trends clearly show a move toward maturity. The emphasis is on building reliable, repeatable, and ...

What’s the difference between an economic bubble and an economic transformation? I don’t know, but if either pops, a bunch of ...

The overwhelming contributor to energy consumption in AI processors is not arithmetic; it’s the movement of data.

Through CMU’s Rales Fellows Program, Cohen earned a Master of Science in Data Analytics For Science. The program was established in 2023 to support the world's next generation of STEM leaders.

Real-time masking, agentless access, and full-motion monitoring enhance insider threat defense and audit readiness without IT ...

Without independent audits—the modern equivalent of the “Toto” test—we cannot know whether AI is benevolent, careless or ...

DM: It depends on your vision. For us, having a smart ball in every game isn’t just about making players better. Once the ...

In a complex regulatory environment, post-market surveillance is a continuous process that demands precision, adaptability and scale. As life sciences organizations increasingly rely on real-world ...

Even though enterprises are swamped with data, they''re still struggling to turn it into reliable strategic decisions. This is where decision intelligence (DI) solutions come in. The right DI platform ...

The Dispatch reports that regulations can unintentionally create monopolies by imposing heavier compliance costs on smaller ...

Learn how ESA can be used to assess transformer health, detect faults, and improve power quality across various applications, ...