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Organizations excel at generating massive volumes of unstructured data through recorded meetings. The struggle lies in extracting value from it. The reality is that most of this data is never touch again after its created. The temporal nature of voice communication creates unique challenges. These conversations capture real-time insights and concerns that are highly valuable for immediate decision-making. But traditional data management approaches fail to surface actionable intelligence before it becomes stale.

In this episode, Joe Essenfeld, CEO and co-founder at FORA, explains how their platform addresses these challenges by automatically processing recorded meetings to generate personalized, contextual summaries while maintaining strict data privacy controls. Joining him are Howard Holton, CEO at GigaOm, and Derek Fisher, Director of Cyber Defense at Temple University. The conversation explores how FORA's AI-powered personalization engine creates individualized meeting cards based on organizational context and project involvement. The platform implements sophisticated filtering to remove personal banter and protects sensitive information through automated labeling systems that can detect IP discussions, HR-sensitive content, and accidental recordings.

Huge thanks to our sponsor, FORA

Recorded meetings are the fastest-growing source of shadow data. FORA gives enterprises unified visibility and control—enforcing retention, access, and compliance across platforms. Security teams eliminate blind spots while employees gain powerful insights. With FORA, you know exactly what recorded data exists, where it's stored, and who can access it.