This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. By now you’ve probably heard about last month’s major AI security incident, in which OpenAI agents escaped their sandbox and hacked into the AI platform Hugging Face while trying to cheat on…
Industrial environments run on a different set of constraints than the typical enterprise office — physical risk, standalone factory sites, and workflows where a fragmented handoff can cost time, quality, or worse.
In this episode, Scot Burdette, Global CIO of Measurement & Analytics at ABB, examines why industrial AI has to be built around knowledge capture, human-in-the-loop...
Most marketing teams are using AI to do the same work faster. That, says Liza Adams, is the wrong goal. Doing things differently is where growth happens.
Run the same analysis on the same data. You should get the same result. Every time. In clinical research, that simply isn’t a best practice. It’s a regulatory expectation. Yet, a surprising number of clinical research teams still rely on individual analysts, local computing environments and manual documentation to ensure [...]
The post Why consistent reproducibility can't be optional in...
You don’t need to know anything about AI automation to get started. There are plenty of free courses that can take you from the basics to building your own automations, even if you’re starting from zero. Some are completely beginner-friendly, while others are better once you’re comfortable with the basics. We’ve picked courses covering popular […]
The post Top 7 Free AI Automation...
How do we build an AI ecosystem where agents, tools, and systems can work together at scale? Angie Jones, VP of the Agentic AI Foundation, joins Chris to discuss the open standards and projects shaping the agentic future, including MCP, A2A, Goose, etc. They also explore what it takes to drive AI adoption across an entire organization, the importance of neutral standards, global...
Discover what an AgentOps dashboard should reveal about AI agent cost, latency, and failures. Learn the key metrics, execution traces, and observability signals teams need to improve agent reliability and performance in production.
Job titles routinely undercount what employees can actually do, especially in fast-moving technical roles.
In this episode, Cory Hymel, Head of Research at Andela, explores why mapping skills instead of roles gives leaders a far more accurate picture of workforce capability and AI readiness.
The conversation covers how continuous skills assessment, rather than one-time...
A quarter of enterprise teams have gotten a single AI channel into full production — the rest are stuck somewhere behind it.
In this episode, Arun Chandra, Chief Operating Officer at NiCE, explores why that gap persists and what closes it.
The conversation covers getting data, knowledge, and organizational context ready for scale, building the financial case for AI investment...
The quarterly infrastructure bill comes in at nearly four times the forecast. An AI agent has been retrying failed tasks and consuming resources within the permissions and spending limits it was given. Elsewhere, an agent runs a workflow outside its approved scope, or the wrong employee sees data they shouldn’t. The executive sponsor gets the...
The post Agentic AI guardrails: what...