How to move from experimental AI to enterprise AITo mitigate risks, ensure governance and save costs, enterprises should have a centralised artificial data intelligence platform driven by a key leader ...

The result is often increased adoption, faster feedback loops and real cultural change with a focus on business value. It ...

Modernizing legacy data systems is no longer optional—it's the key to unlocking AI’s full potential with real-time insights, ...

CIOs have always faced pressure to deliver transformative change while maintaining operational stability in their IT environments. With the recent explosive growth of AI, the CIO faces a daunting ...

Innovation requires information, context, collaboration, experimentation, and even failure. Using simulation to make decisions across the product life cycle, from initial concept to end of life and ...

C3.ai, Inc. AI and Palantir Technologies Inc. PLTR are the two major players in the enterprise AI space. Both companies take a distinct approach to serving government agencies and large corporations.

Mobile drives traffic, but AI search favors desktop. New data reveals a growing divide and a huge opportunity for marketers ...

Recent advances in deep learning have significantly improved hyperspectral image (HSI) classification. However, deep learning models for HSI classification typically rely on one-hot labels, which lack ...

The company can supply storage, data management, cloud and containerisation services to all verticals. How does the cloud fit NetApp strategy? NetApp has pivoted hard to a future in the cloud.