• Samuel Scarpino: Director of AI + Life Sciences, Northeastern University

• David Mathison: CEO, CDAO/CAIO Summit
This session will explore the "Chief AI Officer Talent Map," the world's first-ever detailed executive report on the Chief AI Officer title ("CAIO"). We'll review some of the people who currently hold that title, what their responsibilities are, the organizations they work for, where they are located, and how to get a CAIO for your company - or become one yourself. The report also covers CAIO compensation, key responsibilities, reporting structure, headcount, budget, previous work experience, and other demographic data including age, gender, region, sector, tenure, etc. We will review sample Chief AI Officer Job Descriptions, and uncover open Chief AI Officer roles at major organizations. Over the course of the 2-day event, delegates and speakers will collaboratively build Job Descriptions specific to various businesses and sectors, so attendees can walk away with a Job Description that they can use at their own organizations to justify the position.

In this engaging discussion, you'll hear insights and strategies from industry leaders who have successfully fostered AI-driven cultures within their organizations. Our panelists, representing a diverse range of sectors and experiences, will share their practical insights on how to create and sustain a culture of AI within large organizations. They will discuss the challenges they've faced, the strategies they've employed, and the results they've achieved in maximizing the value, productivity, and efficiency of AI initiatives. Key takeaways include:
1. Strategies for Building an AI Culture: Learn how to instill a mindset that embraces AI innovation, from leadership buy-in to employee engagement.
2. Overcoming Organizational Challenges: Discover how to navigate the complexities of large organizations, including regulatory compliance, data governance, and scalability.
3. Real-World Success Stories: Hear firsthand accounts of successful AI implementations and the tangible benefits achieved in different industries.
4. Best Practices for AI Adoption: Gain actionable insights on how to prioritize AI projects, manage resources, and measure ROI effectively.
5. Future-proofing Your AI Culture: Explore how to stay ahead in the ever-evolving AI landscape and adapt to emerging technologies and trends.
Participants:
• David Mathison: CEO, CDAO/CAIO Summit (moderator)
• David Barnes: Chief AI Ethics Officer, US Army AI Integration Center (AI2C)
• Eileen Vidrine: Chief Data and AI Officer, US Department of the Air Force, Chief Data & AI Office
• Ronke Ekwensi: VP and Chief Data Officer, T-Mobile
• Sol Rashidi: Former Chief Data, Analytics, AI Officer, Estee Lauder, Merck, Sony Music, Royal Caribbean
• Sunil Senan: SVP & Business Head: Data Analytics and AI Unit, Infosys

This session explores the transformative impact of generative AI technologies on business operations and strategy. We will examine technical aspects, the importance of data quality, along with ethical and governance considerations surrounding generative AI deployment. The panel will take a practical view of real-world applications, opportunities, and challenges.
Participants:
• Michael Krigsman: Publisher, CXOTalk (moderator)
• Bruno Aziza: Partner, CapitalG (Alphabet)
• Sreedhar Sistu: Vice President, AI Offers, Schneider Electric
• Vipin Mayar: EVP, Head of AI Innovation, Fidelity Investments
• Yvonne Li: VP of Enterprise AI, Data Engineering, and Decision Science, Advance Auto Parts

• Daniel Hulme: Chief AI Officer, WPP
Daniel provides a radical new framework for thinking about AI, and discusses how organisations can practically adopt these technologies and avoid being seduced by the hype. He argues that whilst these technologies are incredible at creating growth and streamlining operations, for companies to stay innovative they need to also use AI to unlock the creative capacity of their workforce. Daniel also covers the macro impact these technologies may have over the coming decades.

In an era where Artificial Intelligence (AI) is reshaping the business landscape, the crucial question of "Who is painting the AI vision for organizations?" gains prominence. This panel discussion delves into the heart of AI's role in modern enterprises, exploring the intricate balance between technological advancement and human capital strategy. We will bring together thought leaders and experts to discuss how organizations are formulating their AI visions. The discussion will address pivotal themes such as the alignment of AI with business strategies, the role of leadership in steering AI initiatives, and the implications of AI on workforce dynamics and skill requirements. Attendees will gain insights into how successful organizations are not just implementing AI solutions but are also thoughtfully integrating these technologies into their broader business objectives and human resource planning. The panel aims to provide a multi-dimensional view of AI's influence on business, offering practical strategies for leaders to harness AI's potential while nurturing and preparing their human capital for the evolving digital future. Participants:
• Lisa Bettinger-Buckingham: President, Ellig Group
• Hamoon Ekhtiari: CEO, FutureFit AI
• Kevin Martin: Chief Research Officer, Institute for Corporate Productivity

As you’re locking in your 2024 planning and budget, AI will be top priority. Henry Schuck, ZoomInfo’s founder and CEO, will walk through best practices for leveraging AI to optimize your go-to-market efforts in 2024 and beyond. He’ll cover how AI can help bridge the gap between sales and marketing, enhance data accuracy and timely outreach, and how you can unlock value from your data like never before.
• Henry Schuck: Founder & CEO, ZoomInfo

Explore the dynamic intersection of AI innovation and risk management within the highly regulated domains of medical and insurance. Join our distinguished panel of experts and Chief AI Officers at the forefront of this challenge as they discuss strategies, best practices, and real-world experiences. Our panelists will address critical questions about maintaining a balance between harnessing exponential AI innovation and mitigating risks in these industries. Walk away with actionable strategies and a deeper understanding of how to navigate this delicate balance. Key Takeaways:
1. Navigating Regulatory Frameworks: Gain an understanding of the complex regulatory landscapes governing medical and insurance sectors and how to ensure compliance while innovating with AI.
2. Leveraging AI for Risk Mitigation: Learn how AI technologies can be employed to assess and manage risks effectively, improving decision-making and operational efficiency.
3. Case Studies in AI Adoption: Explore real-world case studies and success stories showcasing how AI has been successfully integrated into medical and insurance operations.
4. Ethical and Responsible AI: Discuss the ethical considerations surrounding AI in these industries and strategies for ensuring responsible AI deployment.
5. Future-Proofing Strategies: Discover strategies for staying ahead of the curve in AI innovation while continually adapting to evolving regulations and industry dynamics.
Participants:
• David Mathison: CEO, CDAO/CAIO Summit (moderator)
• Darien Acosta: Chief AI Officer, Cover Whale
• Jerry Gupta: Senior Vice President, P&C R&D, Swiss Re
• Mark Gleason: Chief of Enterprise Architecture, Head of Global Data, Head of AI Innovation, Hudson Insurance Group
• Matt Lewis: Global Chief Artificial and Augmented Intelligence Officer, Inizio Medical
• Shawn Wang: Chief AI Officer, Elevance Health

Navigating the AI landscape requires more than just an understanding of the technology; it demands a strategic approach to data-driven decision-making. This fireside chat will explore perspectives on how to effectively cut through the AI hype – providing actionable insights on utilizing data not just to envision but to truly realize AI’s transformative power at scale.
Participants:
• Jeff Boudreau: Chief AI Officer, Dell Technologies
• Kleida Martiro: Partner, Glasswing Ventures
• Usama Fayyad: Executive Director, Institute for Experiential AI, Northeastern University

• Usama Fayyad: Executive Director, Institute for Experiential AI, Northeastern University
While ChatGPT has raised awareness of the general public of the capabilities of Large Language Models as the easy-to-use interface and the chat format made the technology more accessible to larger groups of users. In this talk we will cover the technology at a high level with an emphasis on how the models work to guide us into examples of how the technology fails and what is the appropriate model of using it. We also emphasize some of the less covered items about making LLM’s work: the big dependence on curated and accurately labeled data, the dependence on human intervention (what we call at Northeastern University Experiential AI – meaning AI with the human-in-the-loop). Issues of prompts, so called “prompt engineering” and talent needs are rarely emphasized. We conclude with some coverage of opportunities and areas where the economic, educational, and social consequences of the technology need to be considered. The goal is to separate the hype and buzz from the reality of where the technology can be truly useful as well as a better understanding of the weaknesses and issues.

• Hamit Hamutcu: Senior Advisor, Institute for Experiential AI, Northeastern University