AI Conference Themes 2026
Explore the Ideas Shaping Enterprise AI
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AI is moving from experimentation to execution. But how can organizations turn emerging technologies into measurable business impact?
At The AI Summit New York 2026, industry leaders, innovators, and AI practitioners will explore the strategies, technologies, and real-world applications transforming business. From generative AI and enterprise transformation to responsible AI, data strategy, and customer experience, discover the conference themes addressing your biggest AI challenges.
Explore the themes below and find the sessions and speakers most relevant to your AI priorities.
From Experimentation to Real-World Applications
Generative AI is reshaping how organizations work, innovate, and engage customers. The challenge now is identifying applications that deliver lasting business value.
Explore how businesses are deploying GenAI and AI agents to automate workflows, accelerate decision-making, and improve productivity. Gain practical insights into selecting high-value use cases, managing risk, and balancing in-house development with external AI solutions.
Key Topics:
- Generative and agentic AI applications
- Intelligent automation and productivity
- Evaluating GenAI use cases and ROI
- Responsible deployment and model selection
Key Speakers:
- Christie Mealo, CTO & Chief AI Officer, Medical Knowledge Group.
- Ipshita Chakraborty , Director, Data Science & Applied AI, HelloFresh.
Relevant program content: The Applied AI Stage explicitly covers generative AI, agentic AI, orchestration, and intelligent workflows.
Scaling AI across the enterprise requires more than successful pilots. It demands the right infrastructure, integration strategies, and organizational capabilities.
Discover how leading organizations are embedding AI into existing systems, connecting data and workflows, and overcoming the technical and operational barriers to adoption. Learn how to build scalable AI environments that improve efficiency, support innovation, and deliver sustainable business value.
Key Topics
- Enterprise AI architecture and integration
- Scaling AI across business functions
- Overcoming legacy infrastructure challenges
- Managing enterprise-wide AI adoption
Key Speakers:
- Eric Petajan, Principal Member of Technical Staff, AT&T.
- Wayne Filin-Matthews, SVP, Enterprise Architecture and AI, The Walt Disney Company.
Relevant program content: AI at Scale, Data Excellence, and Applied AI align with enterprise integration and production deployment
As AI becomes more embedded in business decisions, effective governance is essential to managing risk and building trust.
Explore how organizations are developing responsible AI frameworks that balance innovation with accountability. Learn practical approaches to managing regulatory requirements, strengthening transparency, addressing bias, and establishing the oversight needed to deploy AI safely and confidently at scale.
Key Topics:
- Responsible AI frameworks and policies
- AI risk management and compliance
- Transparency, explainability, and accountability
- Governance for autonomous AI systems
Key Speakers:
- Christophe Rougeaux, Head AI Risk Management, TD Bank
- Pamela Gupta, Founder, Trusted AI
Relevant program content: AI Cybersecurity, AI at Scale, and Data Excellence cover complementary aspects of security, governance, and operational control.
AI is transforming how organizations understand, engage, and support their customers.
Discover how businesses are using predictive analytics, personalization, and intelligent automation to anticipate customer needs and deliver more relevant experiences. Explore strategies for combining AI capabilities with human expertise to improve satisfaction, strengthen loyalty, and turn customer experience investments into measurable business results.
Key Topics:
- AI-powered personalization and predictive insights
- Intelligent customer service and automation
- Balancing AI with human interaction
- Measuring customer experience ROI
Key Speakers:
- Ashley Scott, Data & AI Product Management Principal, PepsiCo
- Ipshita Chakraborty, Director, Data Science & Applied AI, HelloFresh
Relevant program content: Applied AI and the Impact Arena offer relevant coverage of real-world AI applications and measurable business outcomes.
Discover how organizations are modernizing data infrastructure, improving data quality, and breaking down silos to support enterprise AI. Explore practical strategies for building AI-ready data environments that enable reliable decision-making, accelerate deployment, and support innovation at scale.
Key Topics:
- AI-ready data infrastructure and architecture
- Data quality, governance, and observability
- Breaking down enterprise data silos
- Enabling real-time AI applications
Key Speakers:
- Jennifer Yang, Global Head of Data Governance, CDO Delegate, Global Privacy Officer, HR and Employee Experience, Global Bank
- Iwao Fusillo, Chief Data & Analytics Officer, New York Jets
Relevant program content: The Data Excellence Stage covers AI-ready architectures, governance, observability, and operational resilience.
🎤 Join the Conversations Shaping AI in 2026
From scaling enterprise AI and unlocking the potential of generative AI to building trusted data foundations, discover how the biggest challenges facing organizations are being addressed at The AI Summit New York.
Explore the conference themes, discover the agenda topics bringing them to life, and find the sessions and industry leaders sharing practical strategies for turning AI ambition into business impact.
Conference theme Conference theme | Conference theme Explore these topics | Conference theme Relevant agenda areas |
AI-Powered Business Transformation AI-Powered Business Transformation | AI-Powered Business Transformation Scaling adoption, measuring ROI, enterprise transformation | AI-Powered Business Transformation AI at Scale / Impact Arena |
The GenAI Revolution The GenAI Revolution | The GenAI Revolution Generative AI, agentic workflows, automation | The GenAI Revolution Applied AI |
AI in the Enterprise AI in the Enterprise | AI in the Enterprise Infrastructure, integration, production deployment | AI in the Enterprise AI at Scale / Data Excellence |
Responsible AI & Governance Responsible AI & Governance | Responsible AI & Governance AI security, compliance, accountability | Responsible AI & Governance AI Cybersecurity / Data Excellence |
AI-Driven Customer Experience AI-Driven Customer Experience | AI-Driven Customer Experience Personalization, intelligent customer engagement | AI-Driven Customer Experience Applied AI / Impact Arena |
AI & Data Strategy AI & Data Strategy | AI & Data Strategy AI-ready data, governance, data infrastructure | AI & Data Strategy Data Excellence |
Big Ideas. Real-World AI Insights.
Discover the conversations bringing this year's biggest AI themes to life. From scaling enterprise AI and unlocking autonomous workflows to strengthening governance and building trusted data foundations, explore expert-led sessions offering practical strategies, real-world lessons, and fresh perspectives to help you turn AI ambition into business impact.
Business Transformation
From Pilot to Production: Building AI as a Core Business Capability
This session examines how organisations scale successful AI pilots into enterprise-wide capabilities embedded across functions and workflows. Attendees will learn the platforms, governance frameworks, and organisational structures required to deploy AI reliably and responsibly at scale. The discussion will also cover how enterprises can continuously measure value, drive adoption, and evolve their AI capabilities over time—turning early wins into lasting competitive differentiation. Ideal for leaders looking to move beyond isolated AI experiments toward sustained, organisation-wide impact.
- Date: Wednesday, December 9, 2026 3:20pm
- Location: Beyond AI at Scale
The GenAI Revolution
Defining Good Behaviour: Engineering Trustworthy Autonomous Systems
As autonomous AI systems grow more capable, defining success is no longer purely a technical challenge, it's a behavioural one. This session explores how organisations are engineering behaviour through reward functions, human feedback, evaluation criteria, and operational guardrails. Attendees will examine how to define "good" behaviour for autonomous systems and what it takes to keep that behaviour aligned as models, environments, and objectives continue to evolve. Essential for teams building or governing agentic AI at scale.
- Date: Thursday, December 10, 2026 2:50pm
- Location: Next Generation
AI & Data Strategy
Rebuilding the Enterprise Data Foundation for AI
AI workloads place fundamentally different demands on enterprise data than traditional analytics. This session explores how scalable retrieval, metadata management, context-aware access, real-time pipelines, and unified data architectures are becoming the new architectural baseline for AI-ready systems. Attendees will discover how organisations are redesigning their enterprise data foundations to support AI in production, moving beyond legacy analytics infrastructure toward systems built specifically for the demands of modern AI workloads at scale.
- Date: Wednesday, December 9, 2026 10:20am
- Location: Data Excellence
Responsible AI & Governance
Are You Secure or Just Compliant? Measuring Trust, Risk and Accountability in AI
Why are organisations moving beyond compliance as the benchmark for good AI governance? This session explores why meeting regulatory requirements alone doesn't guarantee AI systems are secure, trustworthy, or well-managed. Discover how leaders measure trust, risk, and accountability through the metrics, assurance frameworks, governance controls, and risk indicators used to evaluate AI performance beyond policies and audits. Attendees will also learn how organisations prove governance is effective, demonstrating success to boards, regulators, customers, and stakeholders through measurable outcomes, transparency, and accountability.
- Date: Thursday, December 10, 2026 2:50pm
- Location: AI Cybersecurity
Meet the Leaders Shaping the Future of AI
Hear from the executives, innovators, and AI experts turning ambition into action. From enterprise transformation and generative AI to governance and data strategy, discover the real-world experiences, practical insights, and fresh perspectives helping organizations navigate their next stage of AI adoption.
