For many organizations, the advent of AI has necessitated a transition from a human-centric to an intelligence- or even agentic-based approach. Real-time event, threat and risk vendor Dataminr began its transition to intelligent automation in 2018, marking the start of its AI journey. Since then, the vendor has transitioned to a more agentic and generative AI approach. In this interview, Joel Tetreault of Dataminr discusses the evolution of real time intelligence platforms, the integration of generative AI and agentic AI, and the importance of data strategy in AI development.
Featuring: Joel Tetreault, chief AI officer, Dataminr
In this episode, we discuss the:
Evolution of Dataminr’s platform pre- and post-generative AI
Integration of GPT and modern models in real-time data processing
Role of data strategy and domain-specific models in AI effectiveness
Use of multimodal AI for security and threat detection
Impact of agentic AI and future trends in cybersecurity
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References:
Top 10 Cybersecurity predictions for 2026
How to enhance OSINT investigations using AI
Company Using AI to Strengthen Cybersecurity Raises $50M