Leaders In AI Summit Los Angeles 2025

Los Angeles Agenda

Begins at 12:45 PM - 1:30 PM

Session Location

Pre-Summit Workshop Hotel Check-In

We recommend checking in at the 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

To Be Announced

Intimate Think Tank Dinner - Invite Only

To Be Announced!

Stay tuned as in the coming days we'll be announcing our think tank dinner night 1!

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

Crafting an Enterprise-Wide AI Strategy:
Overcoming Pilot Failures and Scaling to Production

As AI becomes a cornerstone of innovation, organizations are under pressure to move beyond experimentation and deliver tangible business results. Yet, according to our research, 86% of AI pilot projects fail to scale, leaving senior executives facing challenges such as stalled ROI, resource misalignment, and skills gaps in critical areas like Python development. These failures not only delay progress but often lead to wasted investments, lost jobs, and eroding stakeholder trust in AI’s potential. This session will address the hard truths behind why AI projects falter and explore practical, enterprise-wide strategies to overcome these roadblocks.

Key Learning Objectives for the Audience

Understand the Root Causes of Pilot Failures:

Learn why most AI projects stall at the pilot stage, including organizational misalignment, unmet ROI expectations, and skills shortages, and discover strategies to address these pain points effectively.

Develop an effective Enterprise-Wide Framework for Scaling AI:

Gain insights into embedding AI initiatives within business units, fostering ownership, and aligning projects with strategic goals to achieve production-ready success.

Maximize ROI and Resource Efficiency:

Explore how to optimize limited technical resources, improve AI project alignment with baseline production requirements, and ensure sustainable ROI to justify further AI investments.

Moderator

Bruce Monaco

Co-Founder / Head of Research

9:55 AM - 10:30 AM

Main Stage

Featured Panel

EDGE TO EVERYWHERE:
BRINGING ACCELERATED AI INTO EVERY ENTERPRISE

In today’s enterprise landscape, AI adoption is no longer confined to pilot projects, it’s extending into every workflow, from edge deployments to core data centers and cloud platforms. The challenge for leaders is finding the balance: build too slowly and risk being left behind; move too fast and face spiraling costs, operational friction, and governance gaps.

This panel will examine how executives are building the next generation of accelerated infrastructure to power enterprise AI at scale. From modular systems that adapt to evolving workloads, to new consumption models that reduce adoption risk, to strategies that extend AI seamlessly into business operations, panelists will share hard-won lessons on turning ambition into execution. Together we’ll uncover how leading enterprises are modernizing infrastructure while enabling AI to flow everywhere it’s needed.

Key Learning Objectives for the Audience

Acceleration Without Overload:

Explore how to deploy accelerated infrastructure at the right pace — enabling innovation without overwhelming budgets, teams, or operations.

Turning Scale Into Value:

Learn how to connect edge, data center, and cloud deployments into a unified architecture that delivers measurable ROI from AI initiatives.

Future-Proofing for Ubiquity:

Gain foresight into how enterprises are embedding AI into everyday workflows, creating flexible, scalable systems that support the next wave of innovation.

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

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

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