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Unlocking AI’s potential: key insights from The AI Summit New York

December 10–11, 2025 | New York, NY

Achieving enterprise-scale artificial intelligence (AI) transformation hinges on aligning ambition with actionable insights and workforce readiness. This was one of the key takeaways at The AI Summit New York in December 2025, which underscored a clear shift from AI experimentation to enterprise-scale transformation. As organizations accelerate adoption, the emphasis is increasingly on delivering measurable value while strengthening trust, governance and workforce readiness. The EY team’s participation at the summit highlighted how organizations can move from ambition to impact — and a selection of sessions led by EY professionals is now available to explore.

In 19 engaging speaking sessions with many of their clients and industry leaders, EY team members focused on real-world AI applications driving transformation across industries, from people-driven AI journeys and AI-powered risk management to unlocking enterprise insights from complex data and advancing physical AI.

Conversations throughout the summit explored critical themes shaping the future of AI, including enterprise transformation, workforce strategy, evolving customer loyalty and rising AI governance demands. EY leaders introduced AI value blueprints for scaling trusted AI, examined how organizations can prepare for AI-enabled operating models and shared perspectives on boardroom readiness amid accelerating AI regulation. Additional sessions addressed the financial services AI value gap, the rise of agentic and autonomous systems, human-centered AI leadership and strategic scenario planning through the “four futures of AI” masterclass.

Explore select summit sessions to hear firsthand how leading organizations are scaling AI responsibly, empowering their people and creating long-term enterprise value.

People, process and technology: how universal is architecting its AI journey

Chris Crayner, Executive Vice President (EVP) and Chief Digital and Technology Officer, NBCUniversal Destinations & Experiences (UDX), and Traci Gusher, EY Americas AI and Data Leader, shared insights into UDX’s AI journey, highlighting a strategy centered on embedding AI into end-to-end business processes to drive growth, efficiency and creativity. The session emphasized strong governance, legal and security compliance and a workflow-based approach that prioritizes initiatives with clear business value. Chris also discussed how AI is used to automate repetitive tasks, enhance employee and guest experiences and support creative development, underscoring the importance of cultural adoption, tailored training, transparency and human-in-the-loop AI to enable scalable, enterprise-wide transformation.


Turning Earth data into action: empowering AI insights with Xoople

Xoople’s Fabrizio Pirondini, Co-founder and CEO, and Jamie Ritchie, Co-founder and Chief Business Officer, as well as Luke Pritchard, EY Americas Databricks AI and Data Leader, shared how Xoople is transforming raw satellite imagery into actionable, AI-ready Earth data for enterprise use. The session highlighted Xoople’s approach to processing Earth data at scale, creating consistent, foundational datasets that enable faster and better decision-making across industries.

 

They emphasized Xoople’s role in bridging the gap between niche Earth observation data and mainstream enterprise adoption through collaborations with platforms like Microsoft and Databricks. By making Earth data interoperable and accessible, Xoople is unlocking new use cases — from city planning to supply chain optimization — and positioning Earth data as a future gold standard for enterprise forecasting and risk assessment.


The AI value gap: capturing today’s returns while building for tomorrow’s vision

Adrian Crockett, General Partner and Head of EJ Labs, Edward Jones; Evan Swartley, Head of Enterprise AI Program, Vanguard; Phil Andriyevsky, EY Financial Services AI and Data Leader; and Patrick Gallic, Head of International AI Hub, Tokio Marine, discussed how organizations are closing the AI value gap by moving beyond isolated use cases toward scalable, platform-based approaches. The session emphasized the importance of executive alignment, strong governance and a product mindset to sustain AI-driven economic value.

 

The discussion highlighted strategies such as balancing top-down strategic investments with bottom-up innovation, adopting federated models to scale AI globally and building a culture where AI proficiency is a baseline skill. Panelists also stressed measuring impact through a mix of near-term returns and long-term indicators, noting that while off-the-shelf solutions deliver quick wins, lasting value requires modern infrastructure, continuous learning and enterprise-wide integration.

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