#data-access

#data-access

It is not often that the CEO of a billion-dollar company openly admits that his company deliberately created obstacles for customers. We did not entirely expect his answer. "We were a bit closed," said Eschenbacher. So Workday deliberately made it difficult to extract data. "We were nervous that they would extract it, put it in a cloud data warehouse, and then bypass us by running an application or AI on top of the data."

Large language models (LLMs) are much the same. They carry vast general knowledge yet lack the specific context that makes them immediately valuable to your organization. Just like new hires go through the onboarding ropes, LLMs need structured access to your business's data, tools, and workflows to become truly useful. That's where Model Context Protocol (MCP) comes in. MCP enables communication between AI applications, AI agents, applications and data sources.

The database will reveal to ICE officials the names, addresses, birth dates, ethnic and racial information, as well as Social Security numbers for all people enrolled in Medicaid.

We've heard the situation from the U.S. where some data are disappearing, where databases are being stopped, and this is really a wake-up call that we as a community need to do more about this and Europe needs to do more about it.

Anthropic's Model Context Protocol (MCP) has emerged as the industry standard for integrating data with AI systems, enabling access to previously siloed information.

One must always be careful with confabulated quotes in AI because even outside of this Research mode, Claude 3.7 Sonnet tends to invent plausible ones to fit a narrative.

AI assistants are evolving into deeply integrated tools capable of managing various tasks, but this demands increased access to personal data and raises significant privacy concerns.

Wikipedia is offering a structured dataset to AI developers, hoping to mitigate the impact of bots on its servers and improve user experience.