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.
CEO & Chief AI Strategist, Averanda Partners; Advisory Board Member, OpenBB
Mastercard Fellow of Data, AI and Privacy; Executive Advisor, The Cantellus Group
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
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.
Board Member, Ossia Inc.; Former Assistant Director for Cybersecurity, White House Office of Science and Technology Policy
AI 101: Establishing a Practical Understanding of How GenAI Does (and Doesn’t) Work
Every CEO and Board Member needs a basic understanding of AI to remain relevant and engage effectively with their technology teams. This session is designed for non-technical leaders and aims to dispel common misconceptions about AI. We’ll break down trendy AI terminology, demystify technologies like ChatGPT, Microsoft Copilot, and Google Gemini, and provide a platform for you to ask questions in a no-judgment zone. By the end of this workshop, you’ll be equipped to participate in strategic AI discussions with confidence, even if you don’t consider yourself a tech expert.
Board Member, The Honest Company; Former Global Head of Strategy – MedTech, Google
Open vs. Closed-Source Models: Data Considerations for Your AI Strategy
One of the most critical decisions in developing an AI strategy is choosing between open-source and closed-source models. This workshop will help you understand the attributes, pros and cons of each approach, and how they align with your organization’s specific use cases and resources. We’ll examine real case studies to provide practical insights and best practices. Learn how to make informed decisions about data governance and resource allocation to optimize your AI strategy and drive business value.
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.
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. CEOs 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 CEO to hear how he/she is fostering a culture of continuous learning and innovation, ensuring that the adoption of AI benefits both the organization and its people.