In this episode of The Good Bot, Brett Mason is joined by Gene Fishel and Chris Carlson to discuss the latest state laws targeting AI, especially in health care. They break down new legislation in Colorado, Utah, California, and Texas, highlighting differences in scope and enforcement. They also cover how state attorneys general are using consumer protection and anti-discrimination laws to regulate AI, even in states without AI-specific statutes.

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Google plans to invest 5 billion pounds (about 6.78 billion US dollars) in AI infrastructure and other projects in the UK over the next two years, according to the Wall Street Journal.

The company says the funds will also support energy supply, research, engineering, and workforce training. At the same time, Google has opened a new data center north of London to meet the growing demand for services like Cloud, Maps, Workspace, and Search.

Other US tech giants are also ramping up their investments across Europe. Oracle has announced 3 billion dollars for projects in Germany and the Netherlands, Microsoft is putting 4.75 billion dollars into Italy, and Amazon is making multi-billion dollar investments in cloud and logistics centers in Germany and Spain. OpenAI is moving ahead with a major European project as well, called “Stargate Norway.”

Now, said Bickley, “imagine today’s alternative: a system that sees you perform a task correctly the first time, learns from it, and memorializes those sequenced steps, mouse clicks, and keystrokes, such that when the employee gets stuck, the system can pull them through to task completion. With many end users accessing dozens or hundreds of system transactions as part of their job, this functionality is invaluable — a real efficiency driver, and also a means to reduce risk via the built-in guardrails and guidance ensuring accurate data is entered into the system.”

He said, “WalkMe tracks users’ usage of their systems — where they stop, what they do, and where they run into problems. This existing baseline of ‘user context’ is a natural jumping-off point for an AI-assisted evolution of the product. The Visual No Code Editor is where the employee guidance flows are built, and the no-code, visual point and click nature of this tool enables business teams to build the training tools and not be dependent on developers.”

‘I see this as much more than Clippy for SAP’

“[The ability] to build highly granular workflows that can discern across user group segments (for example, role, device type, geography, behavior), coupled with already existing automation for things like auto-completion of form fields as an example, provides a meaningful nudge when an employee gets stuck on a process step,” said Bickley.