AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

VentureBeat and other experts have argued that open-source large language models (LLMs) may have a more powerful impact on generative AI in the enterprise. More powerful, that is, than closed models, ...

As enterprises adopt AI, many are discovering that context, not model sophistication, determines whether systems can be trusted to support real decisions at scale.

As frontier models converge, the advantage in enterprise AI is moving away from the model and toward the data it can safely access. For most enterprises, that advantage lives in unstructured data: the ...

Unlock the potential of your data with this insightful white paper. It delves into the world of enterprise data modeling, showcasing how it not only drives business value but also forms the bedrock of ...

Enterprise technology vendors are racing to make AI work against the structured and relational data inside databases, data warehouses, and transaction systems.

Roughly 80% of enterprise data sits in emails, contracts, call transcripts, and PDFs where traditional databases can't touch it. Much of this "unstructured" data isn't ignored because it lacks value, ...