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
NYC 2026 Agenda
Begins at 12:45 PM - 1:30 PM
Session Location
Pre-Summit Workshop Hotel Check-In
We recommend checking in at New York Marriott Marquisbefore 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 Michelangelo Hotel front desk directly or connect with our team onsite.
Begins at 1:30 PM - 2:00 PM
Session Location
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
Session Location
AI Deployment Workshop – Part 1
Governance in AI Deployment:
Balancing Innovation and Control
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.
3:00 PM - 3:15 PM
Session Location
Afternoon Networking Break
3:15 PM - 4:00 PM
Session Location
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.
4:00 PM - 4:45 PM
Session Location
Roundtable
Executive Roundtable:
Responsible AI: Governance, Ethics, and Safety
As AI technologies continue to evolve, robust data governance and ethical AI practices are more important than ever. This roundtable will delve into the development and implementation of data governance frameworks, privacy and compliance issues, and ethical considerations in AI deployment. Participants will discuss how to ensure AI safety and build public trust through responsible AI usage.
What You Will Learn:
- Developing Internal Governance Frameworks:
Discover how to build governance structures that balance innovation with accountability. Learn to create internal guidelines that empower teams to innovate responsibly while maintaining strategic control.
- Identifying Gaps in AI Roadmaps:
Uncover overlooked areas in your organization's AI roadmap, including potential governance gaps. Gain insights on how to address these challenges to strengthen your AI initiatives.
- Cross-Functional Collaboration:
Understand the importance of involving diverse teams in AI projects. Learn how cross-departmental collaboration enhances risk mitigation, aligns objectives, and strengthens governance.
4:45 PM - 5:15 PM
Main Stage
Present Your executive roundTables Findings
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5:00 PM - 6:00 PM
Session Location
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
6:30 PM - 9:30 PM
TBA
Intimate Think Tank Dinner - Invite Only
To Be Announced
8:30 AM - 9:10 AM
Session Location
Arrivals & REGISTRATION
Start your Leaders In AI Summit experience by checking in at the Leaders in AI Summit. 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.
9:10 AM - 9:15 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.
9:15 AM - 9:55 AM
Main Stage
Opening Panel
The Great Balancing Act:
AI Innovation VS AI Safety
In today’s AI race, the most forward-thinking organizations know that speed alone isn’t the differentiator — trust is. Moving too slowly risks missing opportunity, but moving too fast without the right safeguards can erode customer confidence, invite regulatory scrutiny, and amplify bias or unintended consequences. This panel will explore how senior leaders are finding the sweet spot between rapid innovation and robust safety, ensuring their AI strategies deliver both impact and integrity.
Speakers will unpack how teams set ambition and guardrails, decide when to accelerate or pause, and implement the right mix of oversight and agility. From real-world examples of bias detection and hallucination prevention to designing AI with clear purpose and accountability, we’ll examine how today’s most effective AI leaders are redefining “safe speed” in the era of intelligent systems.
Key Learning Objectives for the Audience
- Innovation–Safety Decision Models:
Learn how to separate low-risk, high-velocity initiatives from high-stakes projects that require deeper governance, testing, and stakeholder input.
- Guardrails That Don’t Slow You Down:
See how minimum-viable safeguards — from bias audits to incident response plans — can raise trust while sustaining momentum.
- Proving Value and Trust Together:
Understand how to measure product impact and model quality side by side to win internal alignment and maintain external credibility.
Moderator
Bruce Monaco
Co-Founder / Head of Research
Joshua Segovia
AI Software Solutions Engineer
Shelby Tallent
Head of AI Governance
Rameshwar Balanagu
Chief Enterprise Architect
Lawana Jones
Chief Technology Officer & CISO
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9:55 PM - 10:30 AM
Main Stage
Featured Panel
Data Alchemy: Transforming
Enterprise Data into AI Gold
Data is the new strategic currency of successful enterprises. As data access becomes increasingly constrained by privacy and regulatory limitations, synthetic data, sophisticated fine-tuning, and efficient inference become essential differentiators. Join this panel of thought leaders as they reveal strategic approaches to leveraging these powerful tools, empowering your enterprise to innovate rapidly and effectively in a data-constrained environment. Turn today’s data challenges into tomorrow’s competitive edge.
Key Learning Objectives for the Audience
- Transforming Synthetic Data into Strategic Opportunities:
Synthetic data lets organizations innovate safely and rapidly when real-world data isn’t accessible or practical.
- Scalable and Ethical AI Oversight:
Simple refinements to AI models can dramatically enhance their strategic value, helping leaders quickly adapt to new opportunities.
- Advancing AI Governance and Leadership:
Optimizing how AI models run in real-time can significantly reduce costs and accelerate decision-making across your enterprise.
Moderator
Bruce Monaco
Co-Founder / Head of Research
Monica Jain
Director, R&D Data Science
Erik Bovee
VP of Business Development
Kalyan Tummala
VP, Product Marketing
10:30 AM - 11:30 AM
Atrium
Opening Networking Break
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11:30 AM - 12:05 PM
Main Stage
Featured Panel
Beyond The Algorithm:
AI Built Around The Customer
In the high-velocity world of CPG retail, the difference between a loyal customer and a lost one often comes down to experience. Yet too often, AI deployments sit in silos—disconnected from the people they’re meant to serve. This panel dives into how leading CPG retailers are re-architecting their AI strategies with the customer as the central design point.
Speakers will unpack how interoperable systems are uniting retail media, supply chain, and service channels; how human-in-the-loop governance ensures trust; and how modular architectures accelerate time-to-value while keeping experiences seamless from shelf to doorstep. From real-time shelf visibility to privacy-safe personalization, we’ll explore how the right blend of tech and human oversight is redefining what “customer-first” means in the AI era.
Key Learning Objectives for the Audience
- Interoperable AI for Seamless CX:
Discover how connected data ecosystems across retail media, inventory, and customer service can create a frictionless shopper journey.
- Human-Centered Governance:
Learn how human oversight guides, refines, and improves AI outputs to preserve trust and brand loyalty.
- Faster Time-to-Value Through Modularity:
See how flexible, vendor-agnostic AI architectures reduce integration friction and deliver measurable results faster.
Moderator
Bruce Monaco
Co-Founder / Head of Research
Raphael Ouzan
Founder & CEO
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Amit Parulekar
Director, Global Advanced Analytics & AI Strategy
Eva Dong
Lead of AI Value Realization
12:05 PM - 12:45 PM
Atrium
Lunch Hosted By the
institute for ai transformation
12:45 PM - 1:45 PM
TABLES 1-12
Executive Roundtable Discussions
Join a focused, high-level conversation with fellow senior leaders during our Executive Roundtable sessions. Each table will feature a distinct theme, giving you the opportunity to dive deep into the topic most relevant to your interests and role. With four roundtable topics to choose from—including AI ROI, Responsible AI, Future-Proofing with AI, and a fourth session available for sponsorship—this is your chance to connect, share, and learn in a collaborative peer environment.
Please select the roundtable topic you’d like to join.
Executive Roundtables Option 1
Agentic AI At Scale: From Experiments To Enterprise Impact
As enterprises move beyond pilots, the rise of agentic AI requires robust infrastructure, secure governance, and data agility. Leaders are now tasked with turning experimental agents into enterprise-grade systems that deliver measurable value while maintaining trust, oversight, and speed.
Discussion Points:
Table Numbers: 1, 4, 7
- Scaling the Backbone:
Building infrastructure that supports enterprise-grade AI agents without bottlenecks.
- Enterprise Use Cases:
Identifying where agentic AI is already driving measurable ROI.
- Governance & Identity:
Establishing oversight frameworks for managing non-human AI actors.
- Adoption at Speed:
Strategies to accelerate the path from pilot projects to scaled deployments.
Executive Roundtables Option 2
Hybrid AI Infrastructure: Balancing Cloud, Edge, And Cost
With AI workloads growing more complex, hybrid infrastructures are emerging as the new standard—blending cloud, data center, and edge deployments. The challenge lies in balancing agility, cost efficiency, and performance while enabling secure and scalable AI at every layer.
Discussion Points:
Table Numbers: 2, 5, 8
- Hybrid as the Default:
Why leaders are moving toward multi-layered AI architectures.
- Performance vs. Cost:
Evaluating trade-offs between cloud, edge, and on-prem deployments.
- Integration Challenges:
Overcoming interoperability and avoiding vendor lock-in.
- Securing Distributed Systems:
Extending governance and compliance across hybrid environments.
Executive Roundtables Option 3
Data-To-Decision Workflows: Turning Business Data Into Action
AI’s true value emerges when data seamlessly translates into decisions. Yet enterprises struggle with fragmented pipelines, governance challenges, and limited visibility across structured and unstructured data. This roundtable explores how leaders are rethinking workflows to drive real-time, data-powered decisions.
Discussion Points:
Table Numbers: 3, 6, 9
- Unified Data Access:
Breaking down silos with federated and multi-source integration.
- From Raw Data to Insights:
Converting structured and unstructured data into usable intelligence.
- Conversational Interfaces:
Leveraging natural language AI to democratize decision-making.
- Trust and Compliance:
Ensuring security, governance, and accountability in fast-moving workflows.
Executive Roundtables Option 4
Domain-Specific AI: From Customization To Enterprise Impact
General-purpose AI is no longer enough. Enterprises are now investing in specialized, domain-specific models that deliver precision, compliance, and industry impact. The challenge for leaders is scaling these models beyond tailored pilots into sustainable, enterprise-wide systems that create measurable value.
Discussion Points:
Table Numbers: 7, 10
- Optimized Infrastructure:
Architecting compute environments that support high-performance domain models.
- Industry-Specific Impact:
Highlighting ROI from specialized models in verticals like finance, healthcare, and retail.
- Responsible Deployment:
Applying security, compliance, and governance guardrails to domain AI.
- Scaling with Agility:
Accelerating the journey from custom pilots to enterprise adoption.
1:45 PM - 2:30 PM
Main Stage
Present Your executive roundTables Findings
Up next, each roundtable will share their key takeaways with the full audience. Please designate one representative from your table to go on stage and briefly present your group’s findings and discussion highlights.
2:30 PM - 3:30 PM
Session Location
Afternoon Networking Break
3:30 PM - 4:10 PM
Main Stage
Featured Panel
Capital Meets Code:
How Financial Institutions Are Rewriting the AI Playbook
In one of the most highly regulated and competitive sectors, AI isn’t a luxury—it’s a mandate. This panel offers a sector-wide lens into how banks, insurers, asset managers, and hedge funds are leveraging AI across their ecosystems. Leaders will discuss how they're balancing innovation with compliance, deploying AI for front-, middle-, and back-office transformation, and setting new standards for model validation, explainability, and oversight. From quant-driven algorithms to conversational banking, this session dissects how financial institutions are operationalizing AI while mitigating risk—and capturing market advantage.
Key Learning Objectives for the Audience
- Transforming Core Operations Through AI:
Discover how financial institutions are automating risk analysis, underwriting, customer intelligence, fraud detection, and portfolio management through machine learning and generative AI solutions.
- Scaling AI with Governance and Compliance in Mind:
Simple refinements to AI models can dramatically enhance their strategic value, helping leaders quickly adapt to new opportunities.
- Funding Innovation and Navigating Cost Efficiency:
Optimizing how AI models run in real-time can significantly reduce costs and accelerate decision-making across your enterprise.
Moderator
Bruce Monaco
Co-Founder / Head of Research
Katie Kirts
Director Global Technology
Nikit Assudani
VP - Product & Risk
4:10 PM - 4:15 PM
Main Stage
Closing Remarks
4:15 PM - 5:15 PM
Main 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
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Leaders In AI NYC 2026
Day 2 Agenda
8:30 AM - 9:00 AM
Session Location
Arrivals & REGISTRATION
Start your Leaders In AI Summit experience by checking in at the Leaders in AI Summit hosted at the luxurious W Hotel in Seattle. 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
Opening Panel
Agents Everywhere:
Architecting the Next Generation of Business Intelligence
AI initiatives hold the promise of transformation, yet many organizations struggle to move beyond pilot phases, leaving potential value unrealized. Research shows that the majority of AI pilots stall due to misaligned goals, resource limitations, and insufficient cross-functional buy-in. These challenges often lead to delayed ROI, wasted investments, and reduced stakeholder confidence. This panel will uncover the key reasons why pilots fail and offer actionable strategies to build scalable, enterprise-wide AI frameworks that deliver meaningful results.
Key Learning Objectives for the Audience
- Identify Core Barriers to Scaling AI:
Understand the most common pitfalls in AI pilot projects, including resource inefficiencies, skill shortages, and organizational misalignment.
- Develop an effective Enterprise-Wide Framework for AI:
Gain insights into embedding AI initiatives within business units, fostering ownership, and aligning projects with strategic goals to achieve production-ready success.
- Deliver ROI Through Scalable AI:
Gain insights into optimizing resource allocation, aligning AI investments with measurable outcomes, and sustaining stakeholder confidence.
Anh Selissen
Chief Information Officer
Sailesh Bharathwaaj
Head of AI Center of Excellence
Moderator
Bruce Monaco
Co-Founder / Head of Research
9:50 AM - 10:30 AM
Main Stage
Featured Panel
The Enterprise AI Playbook for 2026:
What Leaders Must Decide, Fund, and 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.
Sean McCall
Chief Data Officer
Rameshwar Balanagu
Chief Architect Officer
Vino Kingston
Data & AI Transformation Strategy & Integration Leader
Moderator
Bruce Monaco
Co-Founder / Head of Research
10:30 AM - 11:30 AM
Atrium
Opening Networking Break
11:30 AM - 12:00 PM
Main Stage
Featured Panel
Data Storytelling:
The Executive Skill Set That AI Can’t Replace
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.
Jie Yu
Head of Data Science Product Management
Thomas Harper
Senior Innovation AI Advisor
Moderator
Bruce Monaco
Co-Founder / Head of Research
12:00 PM - 12:25 PM
Main Stage
Case Study
human-validated synthetic data generation
Which LLMs actually reduce cost and risk when deployed at enterprise scale for data generation?
TrainAI by RWS will share findings from its human-validated synthetic data generation study which compares the performance of 8 leading LLMs on content generation, conversation generation, text normalization and translation performance, against each other as well as against human-generated content.
Results reveal where AI meaningfully reduces production effort, where hidden quality gaps drive rework, and why model choice must follow use case and language footprint. Attendees will gain a practical framework to evaluating LLMs and understanding where humans-in-the-loop can truly add value, so they can deploy AI globally with greater confidence.
Key Learning Objectives for the Audience
- Understand Where Synthetic Data Actually Delivers ROI
Learn which types of data generation tasks meaningfully benefit from LLM-driven synthetic data, where AI reduces production effort, and where hidden quality gaps still create downstream cost and rework.
- Scalable and Ethical AI Oversight:
Gain a practical framework for comparing LLM performance across content generation, conversational data, normalization, and translation—understanding why model choice must align to specific use cases and global language requirements.
- Define the Right Role for Humans-in-the-Loop
Understand where human validation materially improves quality, reliability, and risk management in synthetic data pipelines, and where human oversight adds little value at scale.
Tomáš Burkert
Head of Innovation @ TrainAI
12:25 PM - 1:00 PM
Atrium
Lunch Hosted By the
institute for ai transformation
1:00 PM - 1:50 PM
TABLES 1-12
Executive Roundtable Discussions
Executive Roundtables Option 1
Unlocking Value: Measuring AI ROI in Enterprises
Understanding the return on investment (ROI) for AI initiatives is crucial for justifying expenditures and demonstrating value to stakeholders. This roundtable will focus on methodologies and frameworks for accurately measuring the ROI of AI projects, considering both tangible and intangible benefits. Participants will discuss best practices for aligning AI investments with business goals and ensuring that AI deployments deliver measurable business value.
Discussion Points:
Table Numbers: 1, 4, 7
- 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 Option 2
Responsible AI: Governance, Ethics, and Safety
As AI technologies continue to evolve, robust data governance and ethical AI practices are more important than ever. This roundtable will delve into the development and implementation of data governance frameworks, privacy and compliance issues, and ethical considerations in AI deployment. Participants will discuss how to ensure AI safety and build public trust through responsible AI usage.
Discussion Points:
Table Numbers: 2, 5, 8
- 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 Option 3
Future-Proofing Your Business with AI
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.
Discussion Points:
Table Numbers: 3, 6, 9
- 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.
- Long-Term Scalability:
Develop strategies for future-proofing AI infrastructure to adapt to technological advancements and evolving business needs.
Executive Roundtables Option 4
AVALIABLE SESSION FOR SPONSORSHIP
Looking to join the event in a meaningful way?
Discussion Points:
Table Numbers: 7, 10
- 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.
- Long-Term Scalability:
Develop strategies for future-proofing AI infrastructure to adapt to technological advancements and evolving business needs.
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
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.
Kumar Melon
Director, Data Science & Enterprise AI
Stanley Samuel
Director, Product & Portfolio Delivery (AI & Automation)
Mayank Kumar
Director, Data Science & Enterprise AI
Moderator
Bruce Monaco
Co-Founder / Head of Research
4:10 PM - 4:50 PM
Main Stage
Featured Panel
Hard-Earned Wins:
What It Really Takes to Operationalize Enterprise AI
Enterprise AI adoption isn’t about quick wins or one-off pilots — it’s about the hard-earned lessons that transform experimentation into real business impact. This fireside chat cuts through the hype to explore what it actually takes to drive adoption across a complex organization. From standing up sandbox environments and leveraging synthetic data, to building frameworks for use case intake and collaborating with Finance on productivity-based ROI, this session offers practical insights on scaling responsibly. You’ll learn how to activate employees through grassroots programs like Office Hours and Hackathons, use AI to augment — not replace — teams, and unlock the hidden value of unstructured documents. Leaders will leave with actionable strategies for navigating cultural resistance, aligning stakeholders, and embedding governance that evolves alongside innovation.
Key Learning Objectives for the Audience
- Breaking Through Adoption Barriers:
Learn how to create structured, low-risk experimentation environments using sandbox setups, obfuscated/synthetic data, and use-case intake frameworks to identify real value opportunities.
- Human-in-the-Loop at Scale:
Explore how AI can augment — not replace — employees, expanding team capabilities through tools like Copilot and intelligent automation that empower generalists and specialists alike.
- Governance You Can Use:
Walk away with a real-world perspective on how to assess vendors, stay aligned with shifting policy landscapes, and embed governance into everyday AI operations.
Eric Poon
Chief Information & Security Officer
Moderator
Bruce Monaco
Co-Founder / Head of Research
4:50 PM - 5:00 PM
Main Stage
Closing Remarks
5:00 PM - 6:00 PM
Main W 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
6:00 PM - 9:00 PM
Perry's Steakhouse - Vault Room
Intimate Think Tank Dinner - Invite Only
Perry’s Steakhouse - Vault Room (Short Walk From Main Stage)
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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Location
The Michelangelo Hotel
The Michelangelo Hotel is an elegant, European-inspired sanctuary in the heart of Midtown Manhattan, New York City. Located just steps from Times Square, Broadway theaters, and Fifth Avenue’s luxury shopping, the hotel blends Old World charm with modern sophistication. Its spacious, sumptuously appointed guest rooms feature classic Italian furnishings, marble-clad bathrooms, and signature deep soaking tubs, creating a refined retreat from the energy of the city. Guests can enjoy a well-equipped fitness center, a stylish lobby lounge for cocktails or light bites, and personalized service that reflects the hotel’s boutique luxury ethos.
The central location offers convenient access to Rockefeller Center, Bryant Park, and major transit hubs, making it an ideal base for both business and leisure. This timeless yet cosmopolitan setting provides the perfect venue for the Leaders in AI Summit 2025 in New York, where attendees will experience a seamless fusion of cultural sophistication, premium comfort, and proximity to the city’s thriving technology and innovation ecosystem.
Directions to The Michelangelo Hotel
152 W 51st St, New York, NY 10019
info@iaitransform.com
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