On April 28, Dataminr unveiled its Agentic AI roadmap, marking a step forward in the development of intelligent, autonomous AI agents for enhanced real-time decision-making. Intel Agents, the company’s first Agentic AI capability, task AI agents to autonomously generate critical context as events, risks, and threats unfold.
This AI innovation introduces a new generation of AI-powered real-time information that enables private and public sector organizations to supercharge their abilities to more effectively navigate a world of constant change—revolutionizing how Dataminr users rapidly understand, contextualize, and respond to unexpected events, according to the company.
“Intel Agents transform the category of real-time information, providing our clients with the surrounding context needed to respond faster and more effectively to unfolding events, risks, and threats,” said Ted Bailey, founder and CEO of Dataminr.
Intel Agents build on top of Dataminr’s 2024 release of ReGenAI, a breakthrough form of Generative AI that automatically regenerates live event briefs in real-time as events unfold. Intel Agents augment ReGenAI event briefs with a new layer of real-time context that is uniquely made possible by Agentic AI. As events unfold, Intel Agents work continuously and collaboratively, analyzing new emerging developments as they happen, and updating the surrounding context that clients need.
“When Dataminr’s AI Platform detects the earliest indications of events, risks, and threats, Intel Agents are tasked with autonomously determining the additional context that’s needed, where to look for it, and how to best synthesize what they find into concise text. The unique decision-making capabilities of Agentic AI, powered by Dataminr’s proprietary LLMs and AI Platform, enable new innovations that were never before possible,” added Alex Jaimes, Dataminr’s chief AI officer.
Intel Agents are powered solely by Dataminr’s internally developed and operated LLMs—all trained on Dataminr’s proprietary 15-year data and event archive. Intel Agents seamlessly fuse relevant information from external public sources with rich insights from internal data sources, including the related historical and current real-time events only available within Dataminr’s AI Platform. Dataminr’s unmatched event archive is relied on not only to train the LLMs powering Intel Agents, but also to enrich the context of real-time events, threats, and risks in powerful ways, the company said.
Source: Dataminr
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