It’s not about the prompt. It’s not about reducing headcount in your call center. It’s a new form of intelligence analyzing and optimizing reality. We’ll look at real-world examples of how AI is not only optimizing operations but also creating groundbreaking new business models—from predictive maintenance to personalized retail experiences. We’ll delve into the common challenges of AI implementation and highlight the strategies that successful companies have used to overcome them, showcasing diverse and pragmatic ways businesses are leveraging AI to drive unprecedented value and spearhead innovation.
Board member, Sunrun, TrueBlue; Advisor, Sway Ventures; Former Technology Executive, HP Inc.
Chief AI Officer, Avanade
CEO, IgniteTech
The magic of generative AI is constantly cited as the key to driving value creation and avoiding obsolescence, but most early attempts to do so are failing. So how do we build the processes and structures to harness the power of full, multi-modal AI systems to create breakthroughs in creativity and productivity? A panel of seasoned executives will guide you through key considerations for capital allocation, leadership structures, and competitive strategies. Gain firsthand insights into balancing good margins now with where you will be – when you don’t’ know where the new world will be.
Chief Technology Officer, Capital Access Platforms, Nasdaq
Head of AI and Modern Data Strategy, Amazon Web Services
Mastercard Fellow of Data, AI and Privacy; Executive Advisor, The Cantellus Group
Over lunch, engage in off-the-record peer discussions to reflect on our morning sessions and share experiences around:
Trust is essential for innovative technologies to thrive. As AI propels the global economy towards a $15 trillion boost by 2030, it also poses significant risks. Dominique Shelton Leipzig, a leading expert in data privacy, AI, and cybersecurity, will share insights from her book and experience training over 5,000 professionals. Learn how to embed TRUST—Triage, Righteous Data, Uninterrupted Monitoring, Supervision, and Technical Documentation—into your AI strategy to mitigate risks and build a robust data governance framework.
CEO and Founder, Global Data Innovation; Author, Trust: Responsible AI, Innovation, Privacy and Data Leadership
Option 1: Cybersecurity 2030: Establishing Your AI Risk Posture
As AI continues to evolve, so do the risks associated with it. This workshop will help you qualify and quantify the various risks your organization may face, including supply chain vulnerabilities, legal and reputational challenges, cyber threats, and regulatory pressures. Through a detailed hypothetical case study, you’ll gain practical tools and processes to improve your risk posture and safeguard your enterprise. We’ll also explore how emerging technologies like quantum computing will impact the cyber security landscape over the next 5 to 10 years, providing you with a forward-looking strategy to stay ahead of potential threats.
Leading Global Cyber Lawyer, Freshfields
Board Member, Ossia Inc.; Former Assistant Director for Cybersecurity, White House Office of Science and Technology Policy
Option 2: Defend, Extend, Upend: A Strategic Framework for GenAI Leadership
If someone were to out-innovate you tomorrow, what would they build? How would they redefine your customer experience, your business model—or your relevance? And more importantly, why didn’t you respond fast enough?
This highly interactive workshop flips the script on traditional AI thinking. Using a real-world case study, you’ll work through a hands-on framework for GenAI prioritization: Defend, Extend, Upend. You’ll leave with a clearer view of what’s truly at risk—and how to protect it—alongside a strategic lens for identifying breakthrough opportunities, not just incremental wins. As a CEO or board member, this session will help you get uncomfortable, get clear, and get moving—before someone else writes your company’s ending for you.
Innovation Strategist, Amazon Web Services
Innovation Strategist, Amazon Web Services
Option 3: Build, Buy, or Backburner? A Strategic Framework for C-Suite Investment Decisions in the AI Era
As AI reshapes the enterprise landscape, today’s leaders face a critical question: when should you build proprietary technology, buy external solutions, or delay investment altogether? In this session, Matt Fitzpatrick—CEO of Invisible Technologies and former global leader of McKinsey’s QuantumBlack Labs—offers a high-level decision framework to guide capital allocation across innovation opportunities. Drawing on his experience leading billion-dollar portfolios and scaling enterprise-grade AI products, Matt will help board members and C-suite executives think beyond cost and capability. This session will equip leaders to evaluate investments through the lens of strategic fit, speed to value, long-term defensibility, and organizational readiness—ensuring every dollar drives transformation, not distraction.
CEO, Invisible Technologies
The EU AI Act, set to shape the future of AI governance, imposes strict obligations on developers and users, impacting businesses both within and outside the EU. U.S. companies with international operations or supply chains must understand these regulations to avoid costly penalties and reputational damage. An international legal expert will provide essential insights and practical guidance on navigating the EU AI Act and its potential influence on US regulations. While U.S. regulations around AI are still in flux, if you’re doing business outside the U.S., this 30-minute session will keep you out of regulators’ crosshairs.
Partner, Freshfields
Counsel, Freshfields; Former Investigative Counsel, US House of Representatives
Partner, Freshfields
AI will undoubtedly impact the workforce, with many employees concerned about job displacement by automation. However, the evolution of technology and its influence on jobs is not new. Companies must shift the narrative from fear to optimistic innovation, showcasing AI as a tool for enhancing work rather than replacing it. By investing in workforce development, companies can upskill their employees, preparing them for the future of work and empowering teams to embrace AI’s potential. We’ll sit down with a leading company to hear how the executive team is fostering a culture of continuous learning and innovation, ensuring that the adoption of AI benefits both the organization and its people.
Chair, Deloitte US
President & Chief Legal Officer, Salesforce
As AI reshapes every corner of the enterprise, it’s also redefining what effective leadership looks like—from the boardroom to the C-suite. To wrap-up our day, we’ll challenge you to answer the question: What’s one leadership shift you need to make now to ensure your organization doesn’t fall behind? Then our closing panel will explore how governance models, board composition and executive decision-making must evolve to match the speed, complexity, and ambiguity of AI-driven transformation. How do you balance bold innovation with responsible oversight? What are the ethical and fiduciary considerations when algorithms shape customer experiences, employee outcomes, and business results? What new skills, structures, and mindsets will future-ready CEOs and directors need—and how do you ensure your leadership team is equipped to deliver?
CEO and Chief AI Strategist, Averanda Partners; Board Chair, Director & Advisor
Board Member, The Honest Company; Former Global Head of Strategy – MedTech, Google
