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ZDNET's key takeaways
Agent deployments differ from traditional software launches.
Governance can not be an afterthought with agents.
'AgentOps' now enters the scene.
Excitement about AI agents may seem over the top, but remember: It takes work and planning on the ground to make these tools productive. Top-level actions include giving agents freedom, but not too much freedom, while also rethinking traditional return-on-investment measures.
Also: 3 ways AI agents will make your job unrecognizable in the next few years
Effective AI development and management require making informed choices in control, investment, governance, and design, according to Kristin Burnham, writing in MIT Sloan Management Review. Reviewing recent research conducted by Sloan and Boston Consulting Group, she cites the "tensions" that AI agent developers and proponents need to be aware of:
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