• Sree Sreenivasan: CEO at Digimentors; Former CDO of NYC, Metropolitan Museum of Art, Columbia University

• David Mathison: CEO, CDAO/CAIO Summit; CDO Club
This session will explore the "Chief AI Officer Talent Map 2024," the world's first-ever detailed executive report on the Chief AI Officer ("CAIO") title. We'll review some of the executives 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 keynote will also reveal 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 federal agencies and major global organizations.

Key takeaways include:
• Overview of the CAIO Role: Gain a comprehensive understanding of the Chief AI Officer (CAIO) title, including key responsibilities and the importance of this role in driving AI strategy within organizations.
• Demographic Insights: Learn about the demographic profile of current CAIOs, including age, gender, region, sector, tenure, and how these factors influence their roles and effectiveness.
• Compensation and Reporting Structure: Understand CAIO compensation packages, reporting structures, and how these roles are integrated within various organizational hierarchies.
• Paths to Becoming a CAIO: Discover the career paths and previous work experiences that lead to becoming a CAIO, and get tips on how to position yourself or your organization to attract top AI leadership talent.
• Job Descriptions and Open Roles: Review sample Chief AI Officer job descriptions and explore open CAIO positions at federal agencies and major global organizations, providing a roadmap for aspiring CAIOs and hiring managers.
• Strategic Importance: Learn about the strategic importance of having a CAIO in your organization and how this role can drive innovation, improve AI governance, and enhance competitive advantage.

In an increasingly complex and interconnected world, the role of the Chief Data and Analytics Officer (CDAO) is pivotal in ensuring that data and AI strategies are not only effective but also ethical and responsible. This panel brings together top leaders from the U.S. military and intelligence communities to discuss how they are leveraging data and AI to enhance national defense, preparedness, and global competitiveness. These experts will share insights into the challenges and opportunities they face in implementing data-driven strategies that align with national security objectives while adhering to the highest ethical standards. Join us to learn how these leaders are driving innovation, ensuring responsible AI deployment, and safeguarding national interests in an era where data and AI are central to defense and security.
Participants:
• David Mathison: CEO, CDAO/CAIO Summit (moderator)
• Dr. Delester Brown Jr.: Chief Data Officer, National Guard Bureau will explore how data strategies are being developed to strengthen national defense capabilities.
• Marie Falkowski: Deputy Chief Data Officer for the Intelligence Community (IC), Office of the Director of National Intelligence will discuss her work in implementing advanced technologies across the IC to protect the nation and maintain a competitive edge in global power dynamics.
• Mark Brady: Deputy Chief Data Officer for TRMC, KBR, Inc will provide insights from his experience at KBR and with the US Space Force and US Air Force, focusing on the critical role of data in space and defense operations.
• Paul Evangelista: Chief Data Officer, United States Military Academy at West Point will share his extensive experience in decision science and data science for defense.
• Thomas Sasala: Deputy Director, Office of Enterprise Management, U.S. Army will offer perspectives from his role in the U.S. Army’s Office of Enterprise Management, and his previous role as CDO at the US Navy.

Key takeaways include:
• Enhancing National Preparedness: Learn how CDAOs are leveraging data and AI to improve national defense capabilities, preparedness, and response to emerging threats.
• Leadership in Data and AI: Discover how top CDAOs are leading their organizations in navigating the complexities of data management, AI deployment, and technology adoption in the defense sector.
• Advanced Technologies in Defense: Gain insights into how AI, machine learning, quantum computing, and other advanced technologies are being integrated into defense strategies to maintain a competitive edge.
• Cross-Sector Collaboration: Explore the role of collaboration between military, intelligence, industry, and academia in driving innovation and adopting advanced technologies.
• Ethical Data Strategies: Understand the importance of ethical considerations in developing and implementing data and AI strategies for national defense and security.
• Balancing Innovation and Responsibility: Learn how these leaders are balancing the need for rapid technological advancement with the imperative to ensure that AI and data strategies are implemented responsibly and ethically.

•Danny Brock: VP of Customer Success, Fiddler AI
AI is transforming business operations and decision-making, yet deploying these large language models (LLM) and machine learning (ML) models within organizations introduces critical challenges around trust, reliability, and ethics. This keynote will highlight how AI observability is essential to robust data governance and analytics, ensuring the performance, accountability, and transparency of LLM and ML deployments—factors that directly impact return on investment (ROI). Drawing from real-world case studies and industry best practices, we will address the governance risks and operational challenges that arise when deploying LLM and ML applications in mission-critical settings.

Key takeaways:
Attendees will gain insights into key metrics and governance frameworks for evaluation and monitoring—crucial for data analytics leaders overseeing their organization’s data governance and analytics. Discover how integrating AI observability not only mitigates risks but also drives growth, enhances governance, and builds trust in AI-driven decision-making across high-stakes industries.

Participants will discuss how advancements in commercial space technologies, combined with analytics and AI, are bringing about the ability to see, know, and decide things better here on Earth in a way that's transformative for organizations across all sectors. Our guests will delve into the strategic advantages of staying ahead in this rapidly evolving and competitive landscape, and discuss how leaders can leverage AI and space data to maintain a competitive edge, gain deeper insights, anticipate future trends, and drive innovation in ways that were previously unimaginable. Join us to discover how the integration of space, data, and AI is not just a frontier for exploration, but a transformative force that is already redefining the future of decision-making, operations, logistics, and strategic planning.
Participants:
• Michael Krigsman: Host and Publisher, CXOTalk video podcast (moderator)
• Anthony Scriffignano, Ph.D.: Distinguished Fellow, Alfred Lee Loomis Innovation Council, The Stimson Center
• Dr. David A. Bray: Principal LeadDoAdapt Ventures; Distinguished Fellow, BENS.org
• Jacqueline Acker: Deputy Privacy and Civil Liberties Officer, Central Intelligence Agency
• Teresa Carlson: President, General Catalyst Institute

Key takeaways include:
• Transformative Impact of Space Data: Learn how advancements in space technologies are providing unprecedented data that can be leveraged by organizations on Earth to enhance decision-making, optimize operations, and drive innovation.
• Strategic Advantages: Understand the strategic importance of staying ahead in the space, data, and AI landscape to maintain a competitive edge and ensure long-term organizational success.
• Integration of AI and Analytics: Discover how combining space-derived data with advanced AI and analytics is enabling organizations across sectors to gain deeper insights, predict outcomes, and improve strategic planning.
• Ethical Considerations and Security: Delve into the ethical implications and security concerns associated with the use of space data and AI, and learn how organizations can navigate these challenges responsibly.
• Cross-Sector Applications: Explore real-world examples of how organizations in industries such as agriculture, finance, and logistics are utilizing space data and AI to tackle complex challenges, increase efficiency, and create new opportunities.
• Future Trends and Innovations: Gain insights into the future of commercial space technologies and how emerging trends in AI and data analytics will continue to reshape industries and provide new capabilities for organizations.

Data and AI capabilities are pivotal to organizational success, but demand has far outstripped supply for C-level talent, leaving most small and medium businesses unable to afford the expense of a full-time CDAO/Chief AI Officer. This panel brings together distinguished leaders to discuss the advantages of leveraging the fractional model for CDAOs and CAIOs (aka “Talent as a Service”). Panelists will explore the benefits of this approach, how it can deliver your AI/data strategy immediately, amplify your existing teams at lower cost, drive innovation, enhance operational efficiency and productivity, and provide scalable, strategic, top-tier data and AI talent and leadership without the long-term expense and commitment of a full-time executive.
Participants:
• David Mathison: CEO, InnovationExchange.ai (moderator)
• Eileen Vidrine: Former Chief Data & Artificial Intelligence Officer, US Department of the Air Force, Chief Data & AI Office
• Jay Mandal: Former COO, SAP Analytics & AI Business and Guest Lecturer, Stanford Law School
• Topher Wurts: Co-Founder, InnovationExchange.ai

Key Takeaways include:
• Strategic Focus: Identify your data and AI strategy NOW, and help align strategic projects with overall business and organizational goals immediately.
• Immediate Impact: Quickly identify opportunities, address challenges, and provide actionable recommendations with seasoned data and AI professionals and our partner ecosystem.
• Accelerated Implementation: Implement data and AI initiatives and projects NOW with the guidance of experienced leaders, reducing the time to achieve significant outcomes.
• Diverse Experience: Benefit from the diverse experience of a fractional leader who has worked with multiple organizations across various sectors, bringing a wealth of knowledge and best practices from different industries.
• Flexibility: Fractional talent can be engaged on an as-needed basis, allowing for scalable leadership that can adapt to the organization's evolving needs and projects.
• Enhanced Innovation: Drive innovation within the organization by leveraging their experience in cutting-edge technologies and trends.
• Reduced Risk: Mitigate the risks associated with hiring a full-time C-suite leader, such as the possibility of misalignment or underperformance, by initially engaging a fractional CDAO/CAIO.
• Specialized Skills: Access specialized data and AI skills and knowledge that may not be available in-house, enhancing the organization's ability to tackle complex challenges.
• Cost-Effective Expertise: Access high-level data and AI expertise without the financial commitment of a full-time executive, making it more affordable for organizations of all sizes.
• Leadership Development: Support the development of internal data and AI talent by having a seasoned mentor and guide existing team members, fostering a culture of continuous learning and growth.

Artificial Intelligence is revolutionizing the media landscape, transforming how stories are told, content is curated, and audiences are engaged. This panel brings together industry leaders and innovators to explore the impact of AI on journalism and media. Join us for an enlightening discussion on the opportunities and challenges presented by AI in the media industry, and discover how these innovations are reshaping the way we consume and interact with information.
Participants:
• David Chivers: Former President, Publisher, CDO at WSJ, Dow Jones, USA Today, Gannett, Des Moines Register, Meredith Corporation (moderator)
• Alexandria Redmon: Senior Director of Product & Technology, Hearst
• Josh Awtry: Senior Vice President / Audience Strategy, Newsweek
• Marc Lavallee: Director of Technology Product and AI Strategy/Journalism, Knight Foundation
• Patty Michalski: SVP of Content and Innovation, Hearst

Key takeaways include:
• AI in Content Creation: Learn how AI is revolutionizing the creation and personalization of media content.
• Strategic Integration of AI: Understand the strategic use of AI in journalism to enhance news delivery and integrity.
• Impact on Tech Journalism: Explore how AI is influencing the field of technology journalism and professional content on platforms like LinkedIn.
• Ethical Considerations: Gain insights into the ethical challenges and societal impacts of AI in media from a broader industry perspective.
• Future of Media and Journalism: Discover the future trends and innovations in AI that are set to further transform the media and journalism landscape.

As data and AI technologies continue to permeate every aspect of our lives, the need for trustworthy, transparent, and explainable strategies becomes paramount, especially in industries that directly impact people, citizens, and consumers. This panel brings together leading experts from the financial, regulatory, and consumer sectors to discuss the crucial role of Chief Data and Analytics Officers (CDAOs) in safeguarding consumer interests through responsible and ethical data and AI practices. They'll explore how they are developing and implementing data and AI strategies that not only deliver business value but also build consumer trust, ensuring that technology serves as a force for good in today’s complex marketplace.
Participants:
• David Chivers: Former President, Publisher, CDO at WSJ, Dow Jones, USA Today, Gannett, Des Moines Register, Meredith Corporation (moderator)
• Austin Gerig: Chief Data Officer, U.S. Securities and Exchange Commission will share insights on how the SEC leverages data and AI to enhance market integrity, protect investors, and ensure transparent financial operations.
• Iwao Fusillo: Global Head of Data & Analytics - eCommerce, PepsiCo will discuss his experience at PepsiCo, GM, the NFL, and American Express in deploying data-driven strategies across global brands to enhance consumer trust, drive personalized experiences, and maintain ethical standards in eCommerce.
• Kristin Switzer: Senior Advisor to the Chief Data Officer, Consumer Financial Protection Bureau will provide an inside look at how data and AI are being used to protect consumers from financial harm, ensure fair practices, and promote transparency in the financial services industry.

Key takeaways include:
• Building Trust: Learn how CDAOs are creating data and AI strategies that prioritize transparency, trustworthiness, and ethical considerations to protect people and serve citizens and consumers effectively.
• Driving Business Value with Integrity: Learn how CDAOs are balancing the dual goals of driving business growth and maintaining high ethical standards in data and AI usage, fostering long-term consumer loyalty and trust.
• Cross-Industry Perspectives: Explore how different sectors—financial, consumer goods, and regulatory—approach the challenges of data transparency and protection or people in the age of AI.
• Explainable AI: Gain insights into the importance of developing AI systems that are explainable and understandable to citizens, regulators, and stakeholders, ensuring accountability and trust.
• Regulatory Compliance: Understand the role of CDAOs in ensuring that data and AI strategies comply with regulatory requirements, such as those enforced by the SEC and CFPB, while still delivering innovative and personalized user experiences.
• Ethical Data Practices: Discover best practices for implementing ethical data strategies that protect privacy, prevent bias, and ensure that AI-driven decisions are fair and just.

• Viewing Party: Delegates, speakers, and sponsors from both event days are welcome to join us to watch the first U.S. Vice Presidential debate at the Top of the 7's bar within the Hotel at The University of Maryland.