CTERA, a leader in Enterprise Data Services, is adding native support for the Model Context Protocol (MCP), enabling enterprises to connect large language models (LLMs), including assistants such as ...

Learn how enterprises evaluate open versus closed AI models to optimize costs, security, and performance across different business use cases.

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

GovCon Expert & Unanet VP Kim Koster investigates findings from the 2025 GAUGE Report about the effects of different program ...

According to recent analysis published by MIT, AI models’ data requirements may be outpacing the supply of suitable, usable data available today. The median training dataset contained about ...

Data fabric uses data virtualization to produce that single pane of glass: It allows the user to see data as a unified set, even if that’s not the underlying physical reality.

Tech companies such as OpenAI are using more synthetic data to train AI models. T. Schneider/Shutterstock The problems with real data. Tech companies depend on data – real or synthetic – to ...

There are trade-offs. Models trained this way seem to struggle to hit the same peak performance as those trained in monolithic data centres. But interestingly, that impact seems to exist only when ...

Mountain scene generated by Midjourney 6.1 (Image credit: Midjourney/Future AI image). First up we are going to see how well each model handles a landscape. Specifically a mountain at sunrise.

By comparison, a microservice that simply registers users would need different information and get its own view schema or user schema to access the data externally. 3-tier vs 3-level DBMS ...