Leaders in AI Summit Dallas 2025

Our Summit's

Leaders In AI Summit Dallas

9 AM - 6 PM

October 28th-29th

Warwick Melrose - Dallas

Featured Speakers

Kevin J. Scott

Chief Technology Officer

Quang Ton

Head Of Business Intelligence

Kelly Dowd

AVP - Data Science

Stanley Samuel

Director, AI and Automation

Vino Kingston

Data & AI Transformation Strategy and Integration Leader

Sailesh Bharathwaaj

Head Of AI Center of Excellence

Melvin Greer

Chief Data Scientist

Mayank Kumar

Director Data Science

Dallas 2025 Agenda

Begins at 12:45 PM - 1:30 PM

Session Location

Pre-Summit Workshop Hotel Check-In

We recommend checking in at The Warwick Melrose 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 Warwick Melrose 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

TBA

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

Innovate or Become Obsolete:
Breaking the Chains of Legacy IT

In today’s enterprise landscape, legacy IT is both a foundation and a bottleneck. The race to adopt AI, machine learning, and cloud-native systems forces leaders to balance modernization with stability. Move too slowly, and organizations risk irrelevance; move too fast, and technical debt, spiraling costs, and governance gaps can derail progress.

This panel will explore how executives are navigating this high-stakes balancing act — breaking free from outdated systems while ensuring resilience, compliance, and agility. From practical approaches to reducing technical debt, to embedding AI into legacy environments, to preparing infrastructure for the next wave of generative and agentic AI, we’ll uncover how leading enterprises are turning IT constraints into opportunities for reinvention.

Key Learning Objectives for the Audience

  • Modernization Without Disruption:

Explore proven approaches for upgrading legacy systems in stages, maintaining uptime and business continuity while unlocking new efficiencies through AI and cloud adoption.

  • Turning Technical Debt Into Opportunity:

Understand how organizations are rethinking data debt, re-allocating capital, and reskilling teams to transform past technology decisions into a springboard for innovation rather than a barrier.

  • Future-Proofing Infrastructure:

Gain foresight into how enterprises are embedding generative and agentic AI into their IT roadmaps — building flexible architectures that balance speed, cost, and compliance to remain competitive over the next 18–24 months.

Moderator

Bruce Monaco

Co-Founder / Head of Research

Kelly Dowd

AVP - Data Science

Kevin J. Scott

Chief Technology Officer

9:55 AM - 10:30 AM

Main Stage

 Featured Panel

Navigating the Human Element of AI Transformation

In today’s AI-driven landscape, the real challenge is not algorithms or infrastructure—it’s people. Organizations across healthcare, retail, and consumer markets are realizing that trust, skills, and culture determine whether AI initiatives succeed or stall. Move too quickly, and you risk eroding consumer confidence and employee morale. Move too slowly, and competitors seize the advantage. Striking the right balance requires executives to rethink how they empower teams, safeguard values, and redesign customer and patient experiences in an AI-first world.

This panel will explore how leaders are navigating this high-stakes balancing act—embedding AI responsibly while maintaining transparency, dignity, and trust. From reskilling workforces and redefining human–AI collaboration to applying governance frameworks and building customer confidence, we’ll uncover how organizations are transforming the human element into a competitive advantage.

Key Learning Objectives for the Audience

  • Human-Centered Experiences Without Losing Trust:

Explore how AI is reshaping consumer journeys and patient care while ensuring privacy, transparency, and dignity remain central to every interaction.

  • Turning Workforce Anxiety Into Empowerment:

Understand how enterprises are building AI literacy, reskilling teams, and creating cultures where employees view AI as an enabler, not a threat.

  • Balancing Innovation With Responsible Governance:

Gain foresight into how organizations are applying ethical frameworks and regulatory standards (NIST, EU AI Act, ISO 42001) to innovate at scale without compromising accountability.

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

When Machines Attack:
Securing the Future of AI-Powered Systems

As AI reshapes cybersecurity, it is now both the shield and the sword. Automated attack pipelines can launch millions of exploits in seconds, while inference-driven defenses race to keep up. Enterprises face urgent questions: how to protect identity as the “digital twin” of employees and systems, how to govern sovereignty in a global cloud, and what to do when machines can outpace our most trusted controls.

This panel will examine the frontline of AI-powered security — from defending against emerging machine-led threats to rethinking governance, identity, and resilience. With CISOs and cybersecurity leaders from diverse industries, we’ll explore how enterprises are preparing for an era where machines not only protect but also attack at unprecedented scale.

Key Learning Objectives for the Audience

  • AI as Both Asset and Threat:

Understand the dual role of AI — how it strengthens defenses while simultaneously creating new vulnerabilities that attackers exploit.

  • Staying Ahead of Machine-Led Threats:

Gain insights into the latest AI-driven cyber risks, from automated exploits to identity hijacking, and learn how organizations are adapting their defense strategies.

  • Building Resilient, Sovereign Systems:

Explore practical strategies for securing digital identity, managing cross-border data sovereignty, and preparing for scenarios where AI may autonomously bypass security controls.

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

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

Bridging the Gap:
AI & Data Centers of Excellence

AI and data Centers of Excellence (CoEs) are becoming the strategic backbone for scaling enterprise transformation. No longer just innovation labs, today’s CoEs are tasked with setting standards, enforcing governance, and ensuring measurable ROI from AI and data initiatives. But too often, they operate in silos—leading to stalled pilots, poor adoption, and missed opportunities.

This panel will bring together executives from multiple sectors to discuss how CoEs can successfully bridge the gap between experimentation and enterprise impact. We’ll explore how leaders are embedding CoEs into business strategy, creating frameworks for scaling, and proving value through trusted data and measurable outcomes. Attendees will gain insights into how CoEs are evolving into engines of enterprise-wide adoption, delivering both innovation and accountability.

Key Learning Objectives for the Audience

  • Repositioning the CoE as a Business Enabler

Learn how organizations are embedding AI and data CoEs into business functions to break down silos and drive measurable impact.

  • Data Governance as the Foundation

Understand how CoEs enforce data quality, integrity, and compliance—building trust in AI across industries.

  • Scaling Beyond Pilots

Explore how companies are turning proofs of concept into enterprise adoption through playbooks, accelerators, and repeatable frameworks.

Moderator

Bruce Monaco

Co-Founder / Head of Research

Jeff Sizemore

Head of Advisory Services

4:10 PM - 4:45 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

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

TBA

Intimate Think Tank Dinner - Invite Only

To Be Announced

Kevin J. Scott

Chief Technology Officer

Vino Kingston

Data & AI Transformation Strategy and Integration Leader

Kelly Dowd

AVP - Data Science

Quang Ton

Head Of Business Intelligence

Christopher Bennett

CTO, Global AI and Data

Melvin Greer

Chief Data Scientist

Sailesh Bharathwaaj

Head Of AI Center of Excellence

Stanley Samuel

Director, AI and Automation

Anh Selissen

Chief Information Officer

October 29, 2025

Leaders In AI Summit Dallas 2025

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Leaders In AI Dallas 2025

Think Tank Dinner Night 1

To Be Announced

Leaders In AI Dallas 2025

Think Tank Dinner Night 2

To Be Announced

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