"Cybersecurity veteran Brian Gumbel - president and chief operating officer (COO) at Dataminr - works at the confluence of real-time information and AI. Mainlined into humanity's daily maelstrom of data, Dataminr detects events "on average 5 hours ahead of the Associated Press" - it picked up the 2024 Baltimore bridge collapse, for example, about an hour ahead of all mainstream media sources. The accuracy rate of its "news" is, says Gumbel, a highly impressive 99.5%."
"On top of that, the company's AI systems, built on proprietary LLMs, analyze real-time events at such unprecedented speed that whole new strata of planning and strategy become possible. Soon, predicts Gumbel, "information will be automatically generated and updated as events unfold, enabling us to anticipate what is likely to happen next and take proactive steps to address it.""
"While nobody is claiming anything equivalent to Philip K Dick's future-crime-perceiving "precogs" in The Minority Report, the technology is nonetheless exciting. "The future is unfolding right now," Gumbel says. "This isn't the realm of science fiction." Even though the focus on analyzing real-time information may appear niche, the relevance here to businesses across the board is clear. Any CEO would benefit from "real-time visibility into the market - and the world - to make better and more informed decisions.""
Dataminr combines real-time information and AI to detect events well ahead of mainstream outlets, reportedly averaging five hours before the Associated Press and detecting the 2024 Baltimore bridge collapse about an hour earlier than other media. The company's news accuracy is reported at 99.5%. Proprietary large language models analyze streaming events at unprecedented speed, enabling automated generation and continuous updating of information as situations unfold. That capability supports anticipation of likely outcomes, proactive risk responses, enhanced planning and strategy, and real-time visibility that can improve business and executive decision-making.
Read at Big Think
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