Agenda

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Jack
Abuhoff
CEO
Innodata
Jack is CEO and co-founder of Innodata, a leading data engineering company with over 5,000 employees across the globe. Innodata helps the world’s leading technology companies and enterprises drive Generative AI / AI innovation. Our customers include five of the “Magnificent Seven” technology companies, leading GenAI innovation labs, and enterprises spanning verticals from financial services to professional information. Innodata is recognized for innovative scaled data solutions that result in high-performing AI models, trusted professional data products, and enhanced operations. Jack’s professional career has included large-scale IT outsourcing, Sino-American infrastructure joint ventures, and international finance, and has spanned both operational and advisory roles.
09 October 2025 09:15 - 09:30
Opening remarks
Kick off the summit with a welcome from Jack Abuhoff, Innodata CEO, and an overview of the day’s focus areas - from advancing agent technologies and orchestration strategies to strengthening trust frameworks and elevating data quality for high-performance AI.
09 October 2025 17:00 - 17:15
Closing address
Wrap up the summit with final reflections, key takeaways from the day’s sessions, and a look ahead at emerging priorities in generative AI. A moment to consolidate insights, thank contributors, and set the stage for continued collaboration beyond the event.
09 October 2025 11:30 - 12:00
Fireside chat | Coordinated intelligence: Architectures for distributed decision-making
In complex, high-stakes environments, no single agent or human holds all the context - making distributed decision-making a critical capability. This fireside chat explores how AI systems, multi-agent architectures, and human oversight can work in concert to make faster, more informed, and more resilient decisions. Jack, Rahul & their guest (TBA) will discuss practical applications, from orchestration strategies to governance frameworks, that ensure decisions remain aligned, transparent, and effective at scale.

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