Jyunmi Hatcher

And of course, if you see me, we're going to be talking about AI in science, science, science.

And hopefully, Beth, you will have some fantastic news stories and other things for us today.

But welcome, everyone, for joining.

And this is The Daily AI Show.

So I'll get started off with a couple of news bits here.

So the last couple of days, we've seen a few interesting news come out, but mostly it's been in the enterprise space.

So Anthropic announced yesterday they had their live stream briefing that focused on enterprise agents.

and how it's used to expand Claude's workspace tooling.

The company is leaning on plugins and connectors so Claude can pull in contacts from business systems and compete in multi-step workflows.

Anthropic and its partners highlighted integrations that let Claude work across documents, email calendars, and line of business maps, including finance and legal workflows.

Reuters reported that Anthropic rolled out multiple enterprise plugins aimed at functions like investment banking, wealth management, human resources, and engineering, with partners named in the launch as LSEG, FactSet, Slack, and DocuSign.

The pitch is that agents can stay inside the tools people already use rather than forcing workers into a separate chat window.

Now, OpenAI has also been pushing agent platforms for enterprise, and Microsoft is, of course, embedding co-pilots across Office.

Google is building Gemini into Google Workspace.

What makes Anthropix a little different is they're more explicit about bringing your own tools and context as part of their model for cloud in enterprise setting.

Anchored in...

dedicated enterprise agents events.

So one of the hardest parts about AI in work or AI at work is being able to

offer the ability to just integrate whatever your work is using with AI.

And that's always been a hard point for implementation.