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Our AI Strategy for Creating Dataminr-unique High Performance LLMs and Foundation Models

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Harnessing the Power of LLMs and Multi-modal Foundation Models in Dataminr’s AI Platform

Large language models (LLMs) and multi-modal foundation models serve as the basis of the predictive and generative components in Dataminr’s AI platform.

Maximizing Event Detection for Unanticipated Major Event “Cascades” like COVID-19

Maximizing Event Detection for Unanticipated Major Event “Cascades” like COVID-19

Dataminr leverages advanced AI approaches to rapidly adapt to the unprecedented shifting global information landscape, providing a case study of how to effectively navigate large-scale unexpected event cascades in real-time.

Multi-Modal Fusion AI for Real-time Event Detection

Multi-Modal Fusion AI for Real-time Event Detection

AI at the Speed of Real Time: Applying Deep Learning to Real-time Event Summarization

AI at the Speed of Real Time: Applying Deep Learning to Real-time Event Summarization

The Multi-Dimensional Value of Public Twitter Data for Real-Time Event Detection

The Multi-Dimensional Value of Public Twitter Data for Real-Time Event Detection

Dataminr’s exploration of public Twitter data has been an integral component of its research and learning since 2009.

The Power of Streaming Audio Data for Enhancing Emergency Event Detection

The Power of Streaming Audio Data for Enhancing Emergency Event Detection

Dataminr’s AI platform now transforms the live audio transmissions of publicly available emergency dispatch broadcasts into early alerts on active safety threats.

What Is Cyber-Physical Security Convergence?

Multi-Modal Understanding and Summarization of Critical Events for Emergency Response

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