Mayo Clinic Labs CEO explains how healthcare's data revolution reshapes clinical diagnostics and accelerates medical research.
The Gartner Hype Cycle is a valuable framework for understanding where an emerging technology stands on its journey into the mainstream. It helps chart public perception, from the “Peak of Inflated ...
AI is only as effective as the quality and accessibility of the data on which it is trained. While potential may seem limitless at this moment in history, it hinges on the critical foundation of data ...
How valuable are digital data collection tools in healthcare and what do they mean to the patient? Are they helpful or is this revolution merely a hype? These were some of the discussions during the ...
The rapid advancement of AI and high-performance computing continues to transform the demands placed on data center ...
Andrew Brust: Big Data is unmistakably revolutionary. For the first time in the technology world, we’re thinking about how to collect more data and analyze it, instead of how to reduce data and ...
It’s in the nature of hype bubbles to obscure important new paradigms behind a cloud of excitement and exaggerated claims. For example, the phrase “big data” has been so widely and poorly applied that ...
How the new richness and accessibility of data, and advances in data science, are enhancing both quantitative and traditional fundamental investment research—and sparking a revolution in active ...
This piece was cowritten with Virginia Covo. Data privacy has turned into one of the most important, hotly debated topics globally. And while lawyers, governmental officials and technology experts ...
Forbes contributors publish independent expert analyses and insights. I write about the broad intersection of data and society. One of the great ironies of the “big data” revolution is the way in ...
Blockchain experts recently delved into the complexities and opportunities of harnessing blockchain data in today's market and discussed the challenges of handling fragmented blockchain data across ...
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