Gartner's 2025 Hype Cycle report evaluates whether emerging technologies are meeting expectations. AI agents, designed for autonomous tasks, and AI-ready data, structured for optimal AI use, lead the report's findings. While AI agents show rapid advancement, their effectiveness depends on the quality of data. AI-ready data has a longer integration timeline, between five to ten years. The report underscores the importance of trust, risk, and security management in AI, identifying them as critical components for the next five years to ensure safe technology deployment.
AI agents refer to increasingly autonomous systems that can carry out tasks for humans, ideally with little to no intervention. However, at their simplest, they can function like standard chatbots or assistants. "Agent" remains a pretty widely defined word, meaning what agents actually do varies significantly in terms of sophistication and application.
AI-ready data is information that is correctly structured to be ingested by AI tools, meaning it's been optimized for efficiency and accuracy. Unlike the other three technologies Gartner's report focused on, the firm said AI-ready data has a slightly longer plateau timeline of five to 10 years, compared with the two to five-year timeline of the others.
Gartner acknowledged that these two technologies are among the most rapidly advancing, but that they need precise application to yield results.
The report also emphasized trust and safety efforts as critical to the next five years, highlighting the increasing importance of managing AI-related risks and ensuring security measures.
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