One of the biggest risks to any AI tool is data integrity. Cybersecurity is built on the CIA triad of confidentiality, ...

Skyvia MCP Server makes customer data available to AI tools via the open Model Context Protocol (MCP), so AI assistants can ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

When designing an effective enterprise data strategy, organizations often choose between a top-down and a bottom-up approach. Each method has its unique advantages and is suitable for various ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Last fall, after playing around with OpenAI’s GPT-3 text-generating AI model — the predecessor to GPT-4 — former Uber research scientist Jerry Liu discovered what he describes as “limitations” around ...

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...

Actionable product demand and usage feedback must find its way back to portfolio managers for continuous portfolio optimization to occur. Morningstar provides a framework and measurement for matching ...

Behavioral information from an Apple Watch, such as physical activity, cardiovascular fitness, and mobility metrics, may be more useful for determining a person's health state than just raw sensor ...