#data-access

#data-access

Google this week announced the public rollout of a beta Gemini feature called Personal Intelligence. It gives Gemini access to your Gmail, Google Photos, YouTube, and Google Search data, if you grant permission, which you can do individually (for example, you can grant permission for YouTube access but not Gmail). The rollout will take place over the coming weeks, and the feature is exclusive to English-speaking Google AI Pro or AI Ultra plan holders in the U.S.

Chances are that you're reading this at work. Or maybe you work from home, and you're reading it on a work-issued computer. Most of us carry our work laptop or phone everywhere (I currently have mine with me on holiday). We answer messages on the couch, check email in line at the grocery store, and occasionally use the same device to sign an agreement, upload a tax form, or grab a boarding pass.

Publishers produce the content that makes streaming valuable, yet they carry the heaviest burden and earn the smallest share. Meanwhile, OEMs and streamers have tightened control of distribution and data. What began as a basic imbalance between supply and demand has evolved into a structure where the largest intermediaries set the rules and everyone else plays by them. Industry discussion often blames fraud, invalid traffic or unavoidable complexity.

The EC also said it preliminarily found that both Meta and TikTok violated their DSA obligation to grant researchers adequate access to public data. "The Commission's preliminary findings show that Facebook, Instagram and TikTok may have put in place burdensome procedures and tools for researchers to request access to public data. This often leaves them with partial or unreliable data, impacting their ability to conduct research, such as whether users, including minors, are exposed to illegal or harmful content," the announcement said.

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.