Leaders In AI Summit Seattle 2025

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Our Summit's

Leaders In AI Summit Seattle

9:00AM-6:00PM

April 8th-9th

Downtown Seattle

Featured Speakers

Christopher Bennett

CTO, Global AI and Data

Melvin Greer

Chief Data Scientist

Ari Kaplan

Head of Evangelism

Singari Seshadri

Head, Digital Experience Innovation

Andrew Hickl

Chief Technology Officer

Amol Bargaje

Global Chief Innovation Officer

James Brookens

Chief Information Officer

Ed Soo Hoo

Worldwide CTO Global Accounts

Seattle 2025 Agenda

1:00 PM - 5:00 PM

Session Location

Day 1 WorkShop Series - Invite Only

Day 1 of the Leaders In AI Summit Austin 2025 will be held in the stunning Texas Hill Country at the Omni Barton Creek Resort & Spa. This invite-only segment of the summit is designed for a select group of senior executives to participate in deep discussions, practical insights, and valuable networking opportunities. The workshop provides an intimate and focused environment specifically tailored for high-level decision-makers within the AI community. Attendance is strictly by invitation to ensure meaningful engagement and impactful conversations.

Begins at 3:00 PM -

Session Location

Hotel ARRIVALS & Check-ins

Arrivals for Day 1 participants: We encourage participants approved for the workshops and/or Think Tank Dinner to arrive in the late morning, well before the workshops start at 1:00 PM sharp. This will allow ample time to settle in and prepare for the day’s activities.

While the official hotel check-in time is at 3:00 PM, attendees arriving early can store their luggage with the hotel staff and proceed to the workshops. Please note that only a select group of executives will be staying at the hotel, as accommodations are limited.

1:00 PM - 5:00 PM

Session Location

Workshop A

Governance in AI Deployment: Balancing Innovation and Control

In the rapidly evolving technology landscape, balancing innovation with control is crucial for successful AI deployment. This session will focus on empowering stakeholders to drive AI initiatives that align with business goals by building internal governance frameworks that foster transparency, accountability, and strategic alignment with responsible AI usage.

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.

1:00 PM - 5:00 PM

Session Location

Workshop B

Governance in AI Deployment: Balancing Innovation and Control

What You Will Learn:

Developing Internal Governance Frameworks:

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.

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

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 Omni Barton Creek Resort & Spa. 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

Cracking the Code:
Scaling AI from Vision to Value

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.

Christopher Bennett

CTO, Global AI and Data

Dara Bazzano

SVP, Chief Accounting Officer

Colette Stallbaumer

Worklab Co-founder & GM of Copilot

9:50 AM - 10:30 AM

Main Stage

Featured Panel

Human-Centric Transformation:
Driving Impact Through Change Management

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.

James Brookens

Chief Information Officer

Singari Seshadri

Head, Digita Experience Innovation

Amol Bargaje

Global Chief Innovation Officer

Moderator

Bruce Monaco

Co-Founder / Head of Research

10:30 AM - 11:30 AM

Atrium

Opening Networking Break

11:30 AM - 12:05 PM

Main Stage

Featured Panel

AI with a Human Touch:
Enhancing GenAI Through Human-in-the-Loop Systems

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.

Andrew Hickl

Chief Technology Officer

Leslie Lorenz

Head of Retail, Americas

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

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

2:30 PM - 3:15 PM

Session Location

Afternoon Networking Break

3:15 PM - 3:45 PM

Main Stage

Featured Panel

AI with a Human Touch: Enhancing GenAI Through Human-in-the-Loop Systems

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.

Vasagi Kothandapani

President, Enterprise Services, RWS

Quang Ton

Head Of Business Intelligence

Vicki Zheng

SAP Business AI GTM Strategy Principal

Eric Poon

VP, Head of Technology and Digital Information

Moderator

Bruce Monaco

Co-Founder / Head of Research

3:45 PM - 4:15 PM

Main Stage

Featured Panel

Bridging the Gap: AI Centers of Excellence in Healthcare

In today’s rapidly evolving digital landscape, organizations often struggle to align business stakeholder ideas with AI initiatives effectively. This session, “Bridging the Gap: AI Centers of Excellence in Healthcare,” will explore strategic approaches to integrating stakeholder input into AI projects, ensuring that these initiatives generate significant value and align with overarching organizational goals. Industry experts will provide insights on fostering collaboration between AI Centers of Excellence and business units, emphasizing the importance of stakeholder engagement and cross-functional synergy.

Key Learning Objectives for the Audience

Resource Allocation in the AI Era:

Discover how AI changes the way organizations allocate resources. Learn about the shift from traditional resource-intensive projects to more agile, AI-driven initiatives that optimize efficiency and effectiveness.

Overcoming Pilot Failures:

Explore the challenges of AI implementation, including the high failure rates of AI pilots. Panelists will share insights on why 90% of AI projects fail within the first 18 months and provide strategies to improve success rates through better planning, execution, and iteration.

Reskilling and Upskilling Leaders:

Examine the critical need for reskilling and upskilling leaders to manage AI-driven change. Learn about the new skills and competencies required to lead in an AI-driven world, and how to foster a culture of continuous learning and adaptability.

Moderator

James Zanewicz

Chief Strategy Officer

Greg Kuhnen

System Director, Analytical Solutions

Sonia Gupta

Chief Medical Officer

Kumar Melam

Head of Data Science

4:15 PM - 4:45 PM

Main Stage

Featured Panel

The Next Frontier: Autonomous Supply Chains & Manufacturing

In a world of increasing complexity, the rise of autonomous systems is redefining supply chains and manufacturing. Artificial intelligence is enabling organizations to achieve unprecedented levels of automation, precision, and efficiency. This session will explore how AI-powered systems are transforming operations across industries, from predictive supply chain management to fully autonomous manufacturing workflows. With Texas as a central hub for energy innovation, industrial manufacturing, and high-demand infrastructure, this discussion will spotlight regional and global opportunities for deploying autonomous systems.

Key Learning Objectives for the Audience