Leaders In AI Summit NYC 2025
Our Summit's
Leaders In AI Summit NYC
9 AM - 6 PM
September 16th-17th
The Michelangelo Hotel

Featured Speakers
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
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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.
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9:55 AM - 10:30 AM
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.

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.

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
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
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
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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.

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.

4:40 PM - 4:45 PM
Main Stage
Closing Remarks
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4:45 PM - 5:45 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 - 8:30 PM
TBA
Intimate Think Tank Dinner - Invite Only
To Be Announced
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.

Let’s TRANSFORM
HUMANITY together
Join us for an exclusive intimate event experience like no other.