Building an AI agent is becoming remarkably easy. Operating one inside a business is not.
Sharjeel Ahmad made the same distinction recently from the perspective of deploying agents in banking: a demo can prove that an agent can perform a ta...
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Building an AI agent is becoming remarkably easy. Operating one inside a business is not.
Sharjeel Ahmad made the same distinction recently from the perspective of deploying agents in banking: a demo can prove that an agent can perform a ta...
“Just add an agent” is becoming the new “just add a chatbot”. It sounds like an answer because it names a technology. It usually avoids the harder question: what, exactly, is responsible for getting the work done?
The first wave of enterprise AI was understandably preoccupied with the models. Companies wanted to know which one was most capable, which had the largest...
A product team sets its strategy in January. There is an offsite. A deck, a set of objectives everyone signs up to, and a roadmap that flows from all of it. By April, the roadmap looks almost nothing like the plan. It has become a stack of things sales needed to close specific deals. There is a feature an executive grew attached to, an urgent fix for the customer who shouted ...
Microsoft’s enterprise AI message has changed, and the change is more important than another model announcement.
The original Microsoft Copilot proposition was straightforward: put generative AI into the tools people already use and help individuals write, summarize, analyze and find information more quickly. That was a sensible place to begin because the user remai...