Unstructured data is reshaping AI data platforms as enterprises confront latency, scale and access challenges across hybrid ...

Enterprise IT compliance needs are constantly evolving. New regulations pass every year, and inter­nal policies change. Disruptive new technology trends, such as generative AI, create additional ...

Applying gen AI to solve useful problems at scale requires a paradigm shift in how we think about data management and integration. Krishna Subramanian, COO and co-founder of Komprise, walks through ...

Context engineering promises to unlock the ability of AI agents to perform more complex processes that require contextual ...

Enterprise AI is only as good as the data that is available to a model. In the past, enterprises largely relied on structured data. With the rapid adoption of generative AI, enterprises are ...

Unstructured data isn’t an asset by default — it’s a liability until CIOs govern, lifecycle and curate it for AI-ready value.

This is an exception. This, right here: You reading this article, accessing text on the internet. Today, watching a video or scrolling through photos is more likely. By 2025, IDC projects about 80% of ...

Box Apps makes it easier than ever to create no-code experiences powered by metadata New Enterprise Advanced plan delivers the full power of Intelligent Content Management in one offering “90 percent ...

This article addresses a critical source of confusion in legal technology: the conflation of document content and metadata in generative AI tools for eDiscovery. Document content 2 is the text and ...

New data engine architectures such as Speedb boost metadata performance, reduce latency, accelerate search time, and optimize CPU consumption. Here’s how. The rapid growth of data-intensive use cases ...

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