This list celebrates changemakers creating meaningful impact through leadership, innovation, fresh perspectives, transformative mindsets, and lessons that resonate far beyond the workplace.
General Motors has software development problems, and the company is facing a brand risk unless it can get its code, user experience and delivery right.
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Amazon Web Services' fourth quarter revenue was $24.2 billion, up 13% from a year ago, and below the 30% and 26% growth rates put up by Microsoft Azure and Google Cloud, respective...
Commercial generative AI use cases are promising, but CXOs at the Hitachi Vantara Exchange in New York note there's a lot of work ahead--data management, privacy and training model...
Google Cloud delivered fourth quarter operating income of $864 million on revenue of $9.2 billion, up from $7.3 billion a year ago. Wall Street was expecting Google Cloud revenue o...
Smartphones are increasingly about foundational models, generative AI features and the ability to leverage AI locally. The latest example is Samsung's Galaxy S24 launch, which also...
Hitachi Vantara has named Octavian Tanase as chief product officer effectively immediately. Tanase will report to Hitachi Vantara CEO Sheila Rohra.
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Some years are all about questions. Other years deliver answers. For enterprise technology, 2024 is likely to be about the answers to generative AI use cases, data strategy and tra...
Oracle CEO Safra Catz said the only limiting factor to Oracle Cloud Infrastructure is capacity. There's a big data center buildout under way.
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"AI initiatives are being driven at the CEO and board levels. And as a result, we are at the front of a significant TAM expansion," said Dell Technologies COO Jeff Clarke.
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Amazon Web Services launched Graviton4, its custom chip for multiple workloads, with big improvements over last year's Graviton3. AWS also launched the latest versions of its Train...
I'm excited to be live from AWS re:Invent 2023 in Las Vegas. This year's event is packed with announcements about the leading-edge of cloud computing and the hot topic of the year, generative AI.
While cloud hyperscalers have dominated the generative AI discussion, enterprises are wary of costs as well as protecting data and see hybrid approaches more viable.
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What we don't know is whether Microsoft is using Oracle Cloud to overflow Bing workloads or completely due to efficiency and/or procurement of Nvidia GPUs.
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I'm willing to bet that in a year, we'll be talking about distributed compute for model training and more workloads on edge devices ranging from servers to PCs to even smartphones....
