Experts suggest that by the end of the decade, agentic AI will revolutionize business workflows, with AI agents expected to be the primary users of digital systems. A significant number of IT leaders are planning to implement AI agents in the near future, but the transition presents numerous challenges. Organizations are exploring effective use cases, such as data synthesis in research, while emphasizing the need for human oversight to ensure the utility and reliability of these agents as tools for productivity.
"We're looking at various data sets to see if there's any utility we can derive from the technology. Synthesizing the last 25 papers in a discipline into something readable and informative means agents could often be quite good at that activity."
"You've got to be damn sure it's doing something useful. Otherwise, it's just another mechanism for generating false leads. So, to get over that hill of 'this is a genuinely useful tool' is a high one."
Collection
[
|
...
]