Leaders In AI Summit NYC 2025

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Our Summit's

Leaders In AI Summit NYC

9 AM - 6 PM

September 16th-17th

The Michelangelo Hotel

Featured Speakers

Yann Lecun

Chief AI Scientist

Lambert Hogenhout

Chief Data & AI

Monica Jain

Director, R&D Data Science

Bethany Percha

Chief Data & Analytics Officer

Katie Kirts

Director Global Technology

Nikit Assudani

VP of Multi Cloud Product

Muddu Sudhakar

Co-Founder and Founding CEO

Melvin Greer

Chief Data Scientist

NYC 2025 Agenda

Begins at 12:45 PM - 1:30 PM

Session Location

Pre-Summit Workshop Hotel Check-In

We recommend checking in at The Michelangelo Hotel 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 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

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

‍Built to Scale:
Powering AI For Operational Success

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.

Moderator

Bruce Monaco

Co-Founder / Head of Research

Melvin Greer

Intel Fellow & Chief Data Scientist

Shelby Tallent

Head of AI Governance

9:55 AM - 10:30 AM

Main Stage

Featured Panel

Beyond Models:
Cracking The Code on Data Readiness

Modern AI models are only as powerful as the data they learn from. This panel explores the real-world roadblocks and breakthroughs behind making enterprise data truly AI-ready. From modernizing legacy infrastructure to operationalizing synthetic and multilingual datasets, panelists will unpack the often underestimated—but mission-critical—layer of data readiness. Join leaders from across data science, infrastructure, and AI governance as they discuss how organizations can build resilient, scalable data foundations to fuel the next wave of intelligent systems.

Key Learning Objectives for the Audience

Building Scalable Data Infrastructure:

Understand the most common modernization barriers—from legacy tech and cost constraints to talent gaps—and how leading organizations are overcoming them to support enterprise-grade AI initiatives.

Operationalizing High-Quality, Diverse Data:

Explore proven practices for improving data quality, enabling synthetic and multilingual data integration, and ensuring consistency across complex pipelines and global deployments.

Governing for Trust, Transparency, and Safety:

Learn how to embed transparency, compliance, and AI safety protocols into your data lifecycle—without slowing innovation. Hear how teams are navigating regulatory uncertainty and aligning leadership on data ethics and governance.

Moderator

Bruce Monaco

Co-Founder / Head of Research

Jie Yu

Head of Digital & Data Science

10:30 AM - 11:30 AM

Atrium

Opening Networking Break

11:30 AM - 12:05 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 of Multi Cloud Product

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

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

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

AI Training Data: Strengthening the Foundation for Enterprise AI

Scaling enterprise AI requires robust, high-quality training data that aligns with evolving needs. This roundtable explores data lifecycle strategies, annotation scalability, sourcing decisions, and measuring data ROI.

Discussion Points:
Table Numbers: 7, 10

Lifecycle Challenges:

Identify the most critical and challenging stages within the AI training data lifecycle, and share strategic approaches to overcome these key obstacles.

Human-in-the-Loop Scalability:

Explore effective strategies and frameworks for scaling human annotation practices, maintaining consistent quality, managing rising costs, and integrating annotation workflows within enterprise AI infrastructure.

In-House vs. External Data Generation:

Examine best practices for integrating AI seamlessly across various enterprise functions, from R&D to supply chain management.

Measuring Data ROI:

Discuss practical metrics and methodologies for measuring and communicating the ROI of training data investments, emphasizing performance improvements, deployment efficiency, and long-term cost management.

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

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

Bethany Percha

Chief Data & Analytics Officer

Monica Jain

Director, R&D Data Science

4:10 PM - 4:40 PM

Main Stage

Featured Panel

Setting the Guardrails:
Foundations for Responsible and Strategic AI Governance

This panel will examine how effective AI governance is no longer just about risk mitigation—it’s a driver of competitive edge. Leaders will explore how building and operationalizing governance frameworks enables organizations to accelerate innovation, ensure regulatory alignment, and embed trust at scale. Through real-world strategies and enterprise implementations, the panel will highlight how setting clear guardrails empowers teams to innovate responsibly while maintaining accountability, compliance, and strategic control.

Key Learning Objectives for the Audience

Elevating Governance into a Growth Enabler:

Understand how structured AI governance transforms from a compliance requirement into a value-generating business asset that supports enterprise-wide innovation.

Scaling Responsible AI Across the Organization:

Explore governance strategies that enable scalable, ethical, and auditable AI adoption—ensuring alignment across departments, risk teams, and executive leadership.

Leadership in Action - Operationalizing AI Guardrails at Scale:

Learn how executives can lead the charge in building practical governance frameworks that drive performance, mitigate risk, and instill long-term trust in AI systems.

Moderator