Leaders In AI Summit Boston 2025
Summit
Leaders in AI Summit Boston
9 AM - 6PM
July 29th-30th
Sheraton Boston Hotel
Featured Speakers
Boston Agenda
Begins at 12:45 PM -
Session Location
Leaders In AI LUNCH & LEARN
Attendees are invited to gather for a light lunch and informal discussions. This is an opportunity to connect with peers, share ideas, and prepare for the afternoon’s sessions.
Available for Sponsorship: Contact our team to learn about branding and engagement opportunities for your organization.
1:30 PM - 2:30 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.
2:30 PM - 3:15 PM
Session Location
Afternoon Networking Break
3:15 PM - 4:10 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.
4:10 PM - 4:50 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.
4:50 PM - 5:00 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
The Capital Grille Hynes Room
Intimate Think Tank Dinner - Invite Only
Built to Scale: Powering AI For Operational Success
As enterprise AI initiatives expand, the race to modernize infrastructure, streamline deployment, and deliver scalable performance is accelerating. To explore how leading organizations are building infrastructure designed to win, we’re convening a private Think Tank Dinner in Boston, hosted by Robert Jaggers and powered by Intel and Dell. This candid, off-the-record conversation will unite AI and IT leaders to share strategies, confront scaling challenges, and benchmark investment priorities that drive enterprise-wide adoption.
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 hosted at the luxurious Sheraton Hotel. 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.
Rishi Venkat
Principal Product Manager, Gen AI
Melvin Greer
Intel Fellow and Chief Data Scientist
Eoin Russell
VP of Partnerships
Moderator
Bruce Monaco
Co-Founder / Head of Research
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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
Vasagi Kothandapani
President, Enterprise Services & Train AI
Jie Yu
Head of Digital & Data Science
10:30 AM - 11:30 AM
Atrium
Opening Networking Break
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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.
Barbara Widholm
Vice President, Automation & AI
Moderator
Bruce Monaco
Co-Founder / Head of Research
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
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.
1:45 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.
Susana Sellés Valls
Associate Director, AI & Automation
Erik Bovee
VP of Business Development
Moderator
Bruce Monaco
Co-Founder / Head of Research
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
Bruce Monaco
Co-Founder / Head of Research
4:40 PM - 4:45 PM
Main Stage
Closing Remarks
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
The Capital Grille Hynes Room
Intimate Think Tank Dinner - Invite Only
Beyond Models: Cracking the Code on Data Readiness
As AI maturity accelerates, organizations are realizing that models alone aren’t enough—data readiness is the real unlock. From governance gaps and legacy systems to synthetic data and safety protocols, getting data right is now mission-critical. To confront these challenges head-on, we’re hosting a high-level Think Tank Dinner in Seattle, led by Robert Jaggers and supported by RWS. This closed-door conversation will bring together senior AI and data leaders to explore modernization strategies, tackle operational barriers, and shape the future of enterprise data infrastructure for AI success.
12:30 PM: Check-In
Pre-Summit Workshop Hotel Check-in
We recommend checking in before 12:30 PM so you can settle in and join us for the Lunch & Learn session starting at 12:45 PM. While there’s no official check-in window and we understand arrival times may vary, early check-in is encouraged to give you time to get oriented and take full advantage of the day’s sessions.If you have questions about your reservation or need early check-in support, please contact the hotel front desk directly or reach out to our team onsite.
The Sheraton Boston Hotel
39 Dalton St, Boston, MA 02199
Location
The Sheraton Boston Hotel
The Sheraton Boston Hotel is a sophisticated urban retreat located in the historic Back Bay neighborhood of Boston, Massachusetts. Overlooking the Charles River and downtown skyline, the hotel features newly renovated guest rooms, the signature Sheraton Sleep Experience, and one of the city’s largest indoor pools with a retractable roof and adjoining sun deck. Direct indoor connections to the Prudential Center and Hynes Convention Center place premier shopping, dining, and meeting spaces just steps away, while guests can recharge at the 24/7 fitness center or unwind at the Green Tangerine Spa.
This vibrant yet refined setting makes the Sheraton Boston Hotel an ideal venue for the Leaders in AI Summit 2025. Attendees will enjoy a seamless blend of contemporary comfort and classic New England charm, all within minutes of Kendall Square, the Seaport District, and Boston’s world-class universities and research hospitals—epicenters of the city’s thriving tech and AI community
Directions to The Sheraton Boston Hotel
39 Dalton St, Boston, MA 02199
info@iaitransform.com
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