Leaders In AI Summit NYC 2026
Our Summit's
Leaders In AI Summit NYC
DAY 1: 1 PM -6 PM
DAY 2: 9 AM-6 PM
April 21st-22nd
New York Marriott Marquis
Featured Speakers
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Leaders In AI NYC 2026
Day 1 Agenda
Begins at 12:45 PM - 1:30 PM
Marriott Marquis
Pre-Summit Workshop Hotel Check-In
We recommend checking in at New York Marriott Marquis before 12:30 PM to give yourself time to settle in and get oriented ahead of the day’s programming. While there’s no formal check-in window and we understand travel schedules may vary, early arrival is encouraged to ensure a smooth start.
For any questions regarding your stay or early check-in assistance, please contact The Marriott Marquis Hotel front desk directly or connect with our team onsite.
Begins at 1:30 PM - 2:00 PM
Marriott Marquis
Registration & Networking
Upon arrival between 1:30 PM and 2:00 PM, please proceed directly to our registration area to check in. Simply provide your name and confirmation details at the welcome desk, where you'll receive your event badge and session materials. Once checked in, you’ll have time to meet fellow attendees and orient yourself before sessions begin promptly at 2:00 PM. Our onsite team will be available throughout the registration window to assist with any questions or special requests.
2:00 PM - 3:00 PM
Main Stage - Marriott Marquis
AI Deployment Workshop – Part 1
Transparency in AI Deployment:
The new york ai transparency act
In the rapidly evolving AI landscape, establishing clear guardrails is no longer optional—it’s a strategic necessity. This session is designed to empower enterprise stakeholders to accelerate AI deployment while maintaining alignment with business objectives. Through actionable insights, we’ll explore how to design internal governance frameworks that promote transparency, accountability, and cross-functional coordination, ensuring innovation doesn’t outpace control. Attendees will walk away with practical models and non-negotiables (“musts”) for responsible AI deployment that scales with purpose and precision.
What You Will Learn:
- Developing Internal Governance Frameworks:
Learn about building governance structures that support innovation while maintaining strategic control. Understand how to establish internal guidelines and frameworks that empower your teams to innovate responsibly.
- Identifying Gaps in AI Roadmaps:
Discover often-overlooked areas within your organization’s AI strategy. This includes identifying governance gaps that could impact AI initiatives and understanding how to close them effectively.
- Cross-Functional Collaboration:
Examine the importance of involving diverse teams from across your organization in AI projects. Learn how cross-functional governance can help mitigate risks and ensure alignment across departments.
Peter orban
Enterprise AI Executive Strategiest
Moderator
Bruce Monaco
Co-Founder / Head of Research
3:00 PM - 3:15 PM
Atrium Outside Main Stage
Afternoon Networking Break
3:15 PM - 4:00 PM
Main Stage - Marriott Marquis
AI Deployment Workshop - Part 2
The Rise of AI Agents:
When Autonomy Outpaces Oversight
The second half of the workshop opens up to the questions dominating executive and technical conversations today: Are AI agents coming for our jobs? Are they hype or here to stay? Where’s the ROI? In this interactive, Q&A-driven session, we’ll unpack the agent explosion—exploring what these tools can (and can’t) do, what guardrails must be in place to ensure ethical and effective use, and how to determine when deploying an agent makes business sense. This is where theory meets frontline concerns, with clear takeaways on value, risk, and readiness.
What You Will Learn:
- Leveraging Agentic AI for Workflow Automation:
Understand how AI agents can autonomously handle specific tasks, freeing up human resources for more strategic responsibilities. Learn to identify processes that benefit most from agentic automation while maintaining transparency and oversight.
- Identifying Governance Gaps in Agentic Deployments:
Discover potential risks and compliance challenges unique to agentic AI within your organization’s roadmap. Gain insights on how to embed robust governance mechanisms to ensure responsible and accountable AI deployment.
- Cross-Functional Collaboration:
Examine the importance of involving diverse teams—ranging from technical experts to legal and compliance stakeholders—in agentic AI projects. Learn how cross-functional governance can help mitigate risks, enhance innovation, and align objectives across departments.
Moderator
Bruce Monaco
Co-Founder / Head of Research
1:00 PM - 1:50 PM
TABLES 1-8
Executive Roundtable Discussions
Executive Roundtables Topic 1
AI Governance, Risk, And Compliance:
Enabling Scale Without Slowing Momentum
As AI becomes embedded in core business processes, leaders are being asked to manage risk and accountability without stalling progress. Governance is evolving from static policy into an ongoing operational function that must adapt as models, data, and use cases change.
Topic 1 Discussion Points:
- Measuring Tangible Benefits:
Techniques for quantifying direct financial gains from AI initiatives, such as cost reductions, increased revenue, and efficiency improvements.
- Evaluating Intangible Benefits:
Methods for assessing intangible benefits like improved customer satisfaction, enhanced decision-making capabilities, and innovation acceleration.
- ROI Frameworks:
Overview of various frameworks and models used to calculate AI ROI, including Total Cost of Ownership (TCO) and Value-at-Risk (VaR) assessments.
- Aligning AI with Business Goals:
Strategies for ensuring that AI projects are closely aligned with organizational objectives and key performance indicators (KPIs).
Executive Roundtables Topic 2
Hybrid AI Infrastructure:
Balancing Cloud, Edge, And Cost
Preparing your business for the future involves adopting and integrating AI technologies that can scale and evolve with emerging trends. This roundtable will focus on strategies for building scalable AI infrastructure, optimizing AI performance, and navigating multi-cloud environments.
Topic 2 Discussion Points:
- Infrastructure Optimization:
Explore strategies for building and scaling AI infrastructure that can handle growing data and processing demands efficiently.
- Performance Enhancements:
Discuss methods for optimizing the performance and efficiency of AI workloads, including leveraging edge computing and hybrid cloud solutions.
- Enterprise Integration:
Examine best practices for integrating AI seamlessly across various enterprise functions, from R&D to supply chain management.
- Navigating Multi-Cloud Environments:
Learn how to effectively manage AI operations across multiple cloud platforms, ensuring flexibility, security, and cost-effectiveness.
Executive Roundtables Topic 3
The Human Layer Of AI:
Adoption, Trust, And Organizational Change
Beyond models and infrastructure, AI success increasingly depends on how people interact with intelligent systems. Leaders are navigating new dynamics around trust, decision ownership, and changing roles as AI becomes part of everyday work.
Topic 3 Discussion Points:
- Framework Development:
Learn how to develop and implement robust data governance frameworks that ensure data quality, integrity, and accessibility.
- Privacy and Compliance:
Address the complexities of data privacy and compliance, and explore strategies for maintaining regulatory standards in AI initiatives.
- Ethical AI Deployment:
Engage in discussions on mitigating biases in AI models, ensuring transparency, and promoting ethical AI practices.
- AI Safety:
Discuss best practices for ensuring AI safety, including risk management strategies and the development of safety protocols.
Executive Roundtables Topic 4
Agentic AI At Scale:
From Experiments To Enterprise Impact
As enterprises move beyond AI pilots, agentic systems are emerging as a new layer of intelligence across workflows, applications, and decision making. While experimentation is widespread, scaling agents introduce new challenges around reliability, coordination, and organizational trust.
Topic 4 Discussion Points:
- Infrastructure Optimization:
Explore strategies for building and scaling AI infrastructure that can handle growing data and processing demands efficiently.
- Performance Enhancements:
Discuss methods for optimizing the performance and efficiency of AI workloads, including leveraging edge computing and hybrid cloud solutions.
- Enterprise Integration:
Examine best practices for integrating AI seamlessly across various enterprise functions, from R&D to supply chain management.
- Navigating Multi-Cloud Environments:
Learn how to effectively manage AI operations across multiple cloud platforms, ensuring flexibility, security, and cost-effectiveness.
4:45 PM - 5:15 PM
Main Stage - Marriott Marquis
Present Your executive roundTables Findings
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5:00 PM - 6:00 PM
Main Hotel Bar
Closing Event
Cocktail RECEPTION
Beverage Menu:
Premium Spirits:
Tito’s Vodka
Balcones Whiskey
Tequila 512
Gosling's Rum
Hendrick’s Gin
Craft Beers:
Karbach Ranch Water
Karbach Love Street
Elegant Wines and Champagne:
Sauvignon Blanc: Kim Crawford
Prosecco: Lunetta
Chardonnay: La Crema
Pinot Noir: Mark West
Cabernet: Columbia Crest - Grand Estates
6:00 PM - 9:00 PM
Marriott Marquis
Intimate Think Tank Dinner - Invite Only
Directly After Day 1 Workshop
The Think Tank Dinner is a private, invitation-only gathering of senior executives, speakers, and partners.
Attendance is limited and separate from the Day 2 Main Summit. Participation requires explicit confirmation in advance. Walk-ins cannot be accommodated.
This dinner is designed for in-depth discussion and peer exchange in a small-group setting. Guests not confirmed for the dinner should plan to depart following the cocktail reception.
Leaders In AI NYC 2026
Day 2 Agenda
8:30 AM - 9:00 AM
Main Stage - Marriott Marquis
Arrivals & REGISTRATION
Start your Leaders In AI Summit experience by checking in at the Leaders in AI Summit hosted at the luxurious Marriott Marquee in New York City. Our VIP Registration Team will greet you in the lobby with your VIP badges and a complimentary gift bag. Enjoy artisian coffee, tropical fruit, and pastries while you prepare for an exciting day of insights and exclusive networking.
9:00 AM - 9:10 AM
Main Stage
Opening Remarks
Kick off the summit with opening remarks from Robert Jaggers, CEO of the Institute for AI Transformation, as he introduces the themes and priorities for the day ahead. This brief session will lead into our opening panel, setting the focus for impactful discussions to follow.
9:10 AM - 9:50 AM
Main Stage - Marriott Marquis
Opening Panel
THE RACE FOR ENTERPRISE AI:
AGENTS, INFRASTRUCTURE & EXECUTIVE DECISIONS
Artificial intelligence is no longer a future initiative. It is embedded in board-level priorities and capital allocation decisions across global enterprises. The question is no longer whether to invest in AI, but how to scale it in a way that delivers sustained competitive advantage and measurable business impact.
While adoption has accelerated, enterprise-wide execution remains uneven. Many organizations have proven isolated use cases, yet struggle to translate early momentum into integrated, scalable systems that drive measurable performance. As agentic AI, hybrid architectures, and distributed inferencing reshape enterprise requirements, executive leaders must align governance, infrastructure, and investment strategy to move from experimentation to durable, enterprise-scale capability.
Key Learning Objectives for the Audience
- Clarify the Barriers to Enterprise-Scale AI:
Understand the most common structural and organizational challenges that prevent AI initiatives from reaching production maturity, including misaligned ownership, insufficient infrastructure readiness, and unclear value measurement.
- Define the Infrastructure and Governance Required for Agentic Systems
Explore how hybrid deployment models, secure data environments, and cross-functional governance frameworks are evolving to support scalable AI and autonomous systems.
- Align AI Investment With Measureable Business Impact
Gain practical insight into how executive teams are structuring funding models, accountability frameworks, and performance metrics to translate AI ambition into enterprise results.
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John Encizo
Chief Technology Officer
Moderator
Bruce Monaco
Co-Founder / Head of Research
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9:50 AM - 10:30 AM
Main Stage - Marriott Marquis
Featured Panel
Inference Where it matters:
Running AI Across Banks, Insurers, and the Edge of the Enterprise
This panel will examine how human expertise and training data play a pivotal role in shaping Generative AI systems. This panel will explore how human input—through methods like reinforcement learning and hybrid architectures—refines model accuracy, addresses bias, and improves ethical compliance. Industry leaders will share strategies for balancing automation with human oversight to enhance decision-making processes, scale responsibly, and ensure that AI systems remain aligned with organizational and societal values.
Key Learning Objectives for the Audience
- Refining AI Outputs with Human Expertise:
Understand how human-in-the-loop systems improve the quality, accuracy, & reliability of GenAI by integrating human judgment into training & decision-making processes.
- Scalable and Ethical AI Oversight:
Explore strategies for implementing human-in-the-loop practices that address bias, hallucinations, and ethical risks while maintaining efficiency and scalability in AI systems.
- Advancing AI Governance and Leadership:
Learn how human oversight frameworks, including reinforcement learning and hybrid architectures, can empower leaders to ensure responsible and trustworthy AI deployment at scale.
Elizabeth Walsh
Vice President, Actuary
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Nigel Noyes
Head of Data Analytics Strategy, Chase
Kamal Mittal
Senior Director, Product MGMT
Moderator
Bruce Monaco
Co-Founder / Head of Research
10:30 AM - 11:30 AM
Atrium
Opening Networking Break
11:30 AM - 12:05 PM
Main Stage - Marriott Marquis
Featured Panel
The Enterprise AI Playbook for 2026:
What Leaders Must Decide, Fund, & Stop Doing
In an era of rapid disruption, organizations that neglect the human dimension of transformation fall behind. This dynamic panel of CXOs will reveal how people-centered approaches ignite progress, unite teams, and reinforce company culture. You’ll uncover practical methods to secure stakeholder buy-in, dismantle resistance, and foster an adaptable mindset that embraces ongoing evolution. Expect candid discussions on real-world success stories, alongside proven frameworks that keep your workforce energized and your organization moving forward.
Key Learning Objectives for the Audience
- Active Buy-In & Alignment:
Explore the complexities of building stakeholder consensus—particularly when up to 70% of large-scale change initiatives fail due to insufficient engagement. Panelists will discuss how to secure cross-functional support, reduce friction, and unify teams to accelerate growth.
- Embedding Agility & Resilience:
Examine the critical need for adaptable cultures ready to embrace new processes. Panelists will provide insights on developing resilience at every level of the organization, ensuring a confident response to market shifts and fostering an environment that propels innovation.
- Measuring & Sustaining Adoption:
Discover how to track the impact of transformation efforts well beyond the launch phase. Panelists will share approaches for maintaining momentum through transparent metrics, iterative improvements, and leadership commitment—transforming early wins into lasting results.
Lawana Jones
Chief Technology Officer
Paul Pallath
Chief Data & AI Officer
Greg Nelson
Executive Director, Data Strategy & Governance
Brian Ellis
Chief Information & Technolog Officer
Moderator
Bruce Monaco
Co-Founder / Head of Research
12:25 PM - 1:00 PM
Atrium
Lunch Hosted By the
institute for ai transformation
1:00 PM - 1:50 PM
TABLES 1-8
Executive Roundtable Discussions
Executive Roundtables Topic 1
AI Governance, Risk, And Compliance:
Enabling Scale Without Slowing Momentum
As AI becomes embedded in core business processes, leaders are being asked to manage risk and accountability without stalling progress. Governance is evolving from static policy into an ongoing operational function that must adapt as models, data, and use cases change.
Topic 1 Discussion Points:
- Measuring Tangible Benefits:
Techniques for quantifying direct financial gains from AI initiatives, such as cost reductions, increased revenue, and efficiency improvements.
- Evaluating Intangible Benefits:
Methods for assessing intangible benefits like improved customer satisfaction, enhanced decision-making capabilities, and innovation acceleration.
- ROI Frameworks:
Overview of various frameworks and models used to calculate AI ROI, including Total Cost of Ownership (TCO) and Value-at-Risk (VaR) assessments.
- Aligning AI with Business Goals:
Strategies for ensuring that AI projects are closely aligned with organizational objectives and key performance indicators (KPIs).
Executive Roundtables Topic 2
Hybrid AI Infrastructure:
Balancing Cloud, Edge, And Cost
Preparing your business for the future involves adopting and integrating AI technologies that can scale and evolve with emerging trends. This roundtable will focus on strategies for building scalable AI infrastructure, optimizing AI performance, and navigating multi-cloud environments.
Topic 2 Discussion Points:
- Infrastructure Optimization:
Explore strategies for building and scaling AI infrastructure that can handle growing data and processing demands efficiently.
- Performance Enhancements:
Discuss methods for optimizing the performance and efficiency of AI workloads, including leveraging edge computing and hybrid cloud solutions.
- Enterprise Integration:
Examine best practices for integrating AI seamlessly across various enterprise functions, from R&D to supply chain management.
- Navigating Multi-Cloud Environments:
Learn how to effectively manage AI operations across multiple cloud platforms, ensuring flexibility, security, and cost-effectiveness.
Executive Roundtables Topic 3
The Human Layer Of AI:
Adoption, Trust, And Organizational Change
Beyond models and infrastructure, AI success increasingly depends on how people interact with intelligent systems. Leaders are navigating new dynamics around trust, decision ownership, and changing roles as AI becomes part of everyday work.
Topic 3 Discussion Points:
- Framework Development:
Learn how to develop and implement robust data governance frameworks that ensure data quality, integrity, and accessibility.
- Privacy and Compliance:
Address the complexities of data privacy and compliance, and explore strategies for maintaining regulatory standards in AI initiatives.
- Ethical AI Deployment:
Engage in discussions on mitigating biases in AI models, ensuring transparency, and promoting ethical AI practices.
- AI Safety:
Discuss best practices for ensuring AI safety, including risk management strategies and the development of safety protocols.
Executive Roundtables Topic 4
Agentic AI At Scale:
From Experiments To Enterprise Impact
As enterprises move beyond AI pilots, agentic systems are emerging as a new layer of intelligence across workflows, applications, and decision making. While experimentation is widespread, scaling agents introduce new challenges around reliability, coordination, and organizational trust.
Topic 4 Discussion Points:
- Infrastructure Optimization:
Explore strategies for building and scaling AI infrastructure that can handle growing data and processing demands efficiently.
- Performance Enhancements:
Discuss methods for optimizing the performance and efficiency of AI workloads, including leveraging edge computing and hybrid cloud solutions.
- Enterprise Integration:
Examine best practices for integrating AI seamlessly across various enterprise functions, from R&D to supply chain management.
- Navigating Multi-Cloud Environments:
Learn how to effectively manage AI operations across multiple cloud platforms, ensuring flexibility, security, and cost-effectiveness.
1:50 PM - 2:30 PM
Main Stage
Present Your executive roundTables Findings
2:30 PM - 3:30 PM
Session Location
Afternoon Networking Break
3:30 PM - 4:10 PM
Main Stage - Marriott Marquis
Featured Panel
Understanding the True Cost of AI:
Tokens, Compute, and Capacity
As enterprise AI adoption accelerates, many organizations are discovering that the real challenge isn’t experimentation — it’s the economics of scaling. From token usage and inference costs to GPU availability and infrastructure strategy, leaders must understand the financial and operational realities behind AI at scale. This discussion explores how organizations are managing the growing demand for AI while balancing cost, performance, and capacity. Executives will gain practical insight into how companies are forecasting AI workloads, optimizing model usage, and building infrastructure strategies that support sustained AI adoption without runaway costs.
Key Learning Objectives for the Audience
- Understanding AI Economics:
Learn how token pricing, inference workloads, and model selection influence the true cost of deploying AI across the enterprise.
- Planning for Compute and Capacity:
Explore how organizations are forecasting AI demand, managing GPU constraints, and building infrastructure strategies to support production-scale AI.
- Optimizing AI for Sustainable Scale:
Understand how leaders are controlling costs through model strategy, workload management, and infrastructure decisions that balance performance and budget.
tanweer surve
Head of Cloud Center Enablement (CCoE)
Jeff Chu
Senior Director FSI
Moderator
Bruce Monaco
Co-Founder / Head of Research
4:10 PM - 4:50 PM
Main Stage - Marriott Marquis
Featured Panel
Transforming Healthcare:
From AI Pilots to Clinical-Grade Systems
Healthcare organizations are under pressure to deploy AI at scale while operating in one of the most regulated, data-constrained environments in the enterprise. Leaders are moving past experimentation and asking harder questions: where AI truly improves outcomes, where risk increases, and how systems can be trusted inside clinical and operational workflows.
This panel brings together healthcare data and AI leaders to discuss how organizations are operationalizing AI across care delivery, supply chains, and enterprise operations. The focus is not on future promises, but on what is working today — how leaders are navigating data access, governance, and validation to move AI from pilots into production without compromising safety, compliance, or performance.
Key Learning Objectives for the Audience
- Deploying AI in Data-Constrained Clinical Environments:
How healthcare organizations are using synthetic data, model tuning, and controlled access strategies to innovate while protecting patient privacy and meeting regulatory requirements.
- Making AI Trustworthy for Clinical and Operational Use:
How leaders validate, monitor, and govern AI systems so outputs can be trusted by clinicians, operators, and executives — not just data science teams.
- Scaling AI Without Disrupting Care Delivery:
How enterprises are integrating AI into real workflows, reducing friction for clinicians and staff while ensuring reliability, accountability, and measurable impact.
Bethany Percha
Chief Data & Analytics Officer
Deepak Agarwal
Director, ORx IT Operations
Polina Girshman
Director, Experience Strategy R&D
Moderator
Bruce Monaco
Co-Founder / Head of Research
4:50 PM - 5:00 PM
Main Stage
Closing Remarks
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5:00 PM - 6:00 PM
Marriott Marquis Hotel Bar
After-Party
Cocktail Hour
Beverage Menu:
Premium Spirits:
Tito’s Vodka
Balcones Whiskey
Tequila 512
Gosling's Rum
Hendrick’s Gin
Craft Beers:
Karbach Ranch Water
Karbach Love Street
Elegant Wines and Champagne:
Sauvignon Blanc: Kim Crawford
Prosecco: Lunetta
Chardonnay: La Crema
Pinot Noir: Mark West
Cabernet: Columbia Crest - Grand Estates
6:30 PM - 9:30 PM
TBA
Intimate Think Tank Dinner - Invite Only
Directly After Day 2 Summit
The AI Edge: Engineering the Future of Accelerated AI
The Think Tank Dinner is a private, invitation-only gathering of senior executives, speakers, and partners.
Attendance is limited and separate from the Day 2 Main Summit. Participation requires explicit confirmation in advance. Walk-ins cannot be accommodated.
This dinner is designed for in-depth discussion and peer exchange in a small-group setting. Guests not confirmed for the dinner should plan to depart following the cocktail reception.
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Leaders In AI NYC 2026: Night 1 Dinner
The AI Edge: Engineering the Future of Accelerated AI
Leaders In AI NYC 2026: Night 2 Dinner
Race for Enterprise AI: Agents, Infrastructure & Executive Decisions
Location
New York Marriott Marquis
Directions To New York Marriott Marquis:
152 W 51st St, New York, NY 10019
info@iaitransform.com
Let’s TRANSFORM
HUMANITY together
Join us for an exclusive intimate event experience like no other.