As AI agents and automation improve efficiency, we're heading toward a world where billion-dollar companies might be built ...

Organizations must address fundamentals, like governance and visibility, to ensure long-term success with AI agents ...

AI agents will quickly learn, ... People and AI agents will function as trusted partners, ... This effort isn't simply about HR gaining a seat at the boardroom table.

But the same responsible AI foundational playbook for other AI applications can be used to assess and mitigate risk with agents, she says. The new Copilot Control System helps IT departments manage ...

Mixus’s collaborative model changes the economics of scaling AI. Mixus predicts that by 2030, agent deployment may grow 1000x and each human overseer will become 50x more efficient as AI agents become ...

Agentic AI may still be rare—but Salesforce’s Agentforce 3 is already redefining what intelligent automation at scale could ...

With strong data integrity and compliance, AI agents can function with minimal data bias, building trust at scale. Then there are the teams who will be responsible for the technology.

KEY TAKEAWAYS. To prepare your team for autonomous AI agents, you must assess your needs, train your workforce, develop the right infrastructure, and plan for ethical and security problems.

But artificial intelligence may soon transcend that divide now that technology companies are building AI “agents”—systems able to make decisions and achieve goals with minimal human oversight.