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Dataminr

🌎 dataminr.com

Dataminr is a leading AI platform that specializes in real-time event and risk detection by analyzing publicly available data. The company provides actionable alerts to global corporations, public sector agencies, newsrooms, and NGOs, enabling them to respond quickly to high-impact events and emerging risks. With a strong focus on innovation, Dataminr has been recognized in various technology and AI rankings and serves thousands of users across more than 100 countries.

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Dataminr - Latest News and Updates

• Dataminr has expanded its Dataminr Pulse product into two distinct offerings: Dataminr Pulse for Corporate Security and Dataminr Pulse for Cyber Risk, each focusing on enhancing organizational safety and resilience across specific use cases.
• Dataminr has introduced Dataminr Pulse for Cyber Risk to help public sector organizations monitor third-party relationships and detect emerging threats.
• Dataminr has partnered with Creolytix GmbH and Siemens to deliver a real-time, AI-powered event detection platform for enhancing Siemens' global corporate security and operational resilience.
• Dataminr partners with Ushahidi to enhance election monitoring by providing real-time alerts on potential risks like voter intimidation or violence.
• Swiss Re has partnered with Dataminr to enhance their security analytics using real-time data for a more intelligence-led, risk-based approach to crisis management.

• Dataminr sponsored the Secure Australia & Border Technology Summit, contributing to discussions on data fusion and maritime domain awareness.
• Nick Bec has joined Dataminr as Associate Director, Scaled Operations in the United Kingdom, previously serving as Associate Director at Arup.
• From December 3-5, 2024, Dataminr will showcase its ReGenAI and Pulse for Cyber technologies at NATOEdge, Booth S25.
• Dataminr is advancing its AI platform with Gen AI-powered Predictive Intelligence to predict future events, threats, and risks.
• Dataminr will present their AI4Good paper on violent event detection at the EMNLP 2024 conference.

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