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

• David Mathison: CEO, CDAO/CAIO Summit
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.

• Yudong Cao: CTO, Zapata AI
In this keynote, Yudong Cao, CTO at Zapata AI, challenges the prevailing focus on large language models (LLMs) as the ultimate AI solution. Instead, the talk will explore the untapped potential of "small AI" —specialized models that offer significant value by addressing specific enterprise challenges. Learn how deploying smaller models closer to the edge can overcome barriers like compute accessibility, data privacy, and resource constraints, ultimately leading to more efficient and secure AI implementations.

With artificial intelligence, it’s not just about what we achieve but how we achieve it. Thoughtful, ethical leadership and responsible innovation and governance are keys to ensuring that these technologies serve the greater good. This panel features AI experts from some of the nation’s most influential government agencies, all united by a mission to use AI ethically, responsibly, and for the betterment of society. Panelists will share their previous accomplishments, current initiatives, future goals and challenges, and the resources and talent they’ll need to continue driving AI forward while upholding the highest standards of responsibility, equity, and inclusivity. Drawing inspiration from NASA’s mission to innovate to help humanity and Google/Alphabet Moonshots' goal of creating systems that serve diverse communities, this discussion will focus on how AI leaders are pushing the boundaries of what’s possible while ensuring that their work benefits society and a wider range of people.
Participants:
• David Mathison: CEO, CDAO/CAIO Summit (moderator)
• Brian Peretti: Chief Technology Officer and Deputy Chief AI Officer, U.S. Department of the Treasury will discuss the department’s latest initiatives to mitigate AI risks and emerging threats in the financial sector, and offer guidance and strategies for safeguarding the nation’s economic stability and security.
• Krista Kinnard: Digital Transformation Culture and Communication Lead, NASA will demonstrate how the agency is using AI to advance space exploration, from digital twins that simulate space missions to cognitive radio systems and AI-driven discoveries of exoplanets, she’ll explore how NASA is using AI to fuel discoveries that inspire and benefit humanity.
• Dr. Salima Bhimani: Former Chief Strategist & Director for Inclusive, Responsible Technology, Business and Leaders, Google will explore how the company applies responsible AI and tech practices across its Moonshot companies to create inclusive and equitable products that serve diverse communities.
• Dr. Seth Dobrin: Former Chief AI Officer at IBM, will provide industry perspective as IBM's inaugural Chief AI Officer, and as a respected advocate for responsible and inclusive AI, earning accolades like AIConics Innovator of the Year and recognition among the Top 10 Most Influential Chief AI Officers in 2023.

Key takeaways include:
• Strategic Leadership in AI: Understand the leadership strategies employed by AI leaders at federal agencies to drive innovation while adhering to ethical considerations, compliance guidelines, and risk management practices, and discover
• AI for the Public Good: Learn how AI technologies are being harnessed to address critical public missions, from enhancing national security and economic stability to improving health, transportation, and energy systems.
• Ethical AI Practices and Frameworks: Gain insights into how government agencies are developing and implementing ethical AI frameworks that ensure transparency, accountability, and fairness in AI deployment. create inclusive and equitable products, ensuring that AI serves diverse communities and contributes to global well-being.
• Collaboration Across Agencies: Learn how cross-agency collaboration can drive AI innovations that are both cutting-edge and inclusive and beneficial to diverse communities, and how federal agencies can work together to achieve shared goals.
• Project Highlights: Gain an in-depth understanding of the specific AI projects each panelist is working on and their impact.
• Resource Needs: Learn about the resources, talent, and support that leaders require to achieve their ambitious AI goals, and the challenges they face in maintaining ethical standards as they push the boundaries of what’s possible.
• Future Goals and Challenges: Hear what’s next for AI in these organizations, and how they plan to meet the challenges ahead.

•Nick Elprin: CEO, Domino Data Lab
•Randal Cole: Chief Data and AI Officer (Acting), Department of the Navy OCIO
As AI in all its forms, from analytics to machine learning and Generative AI, is increasingly ready for mission-critical use cases, there’s a lot on the line. The potential to transform organizations and find new ways to accomplish missions with AI is proven, but agencies still face hurdles to scaling AI.

Join this session to understand:
• Perspective from the U.S. Navy's Chief Digital and AI Officer on adopting AI to achieve mission critical outcomes.
• What agencies should know about AI risks.
• The toolsets and processes organizations need to sustainably create value from AI while mitigating risks.
• Actionable next steps to integrate AI rapidly, safely, and cost effectively.

Artificial intelligence is transforming the landscape of government operations, offering unprecedented opportunities for innovation, productivity, and efficiency. This panel brings together key figures from federal agencies and industry to discuss strategies for successfully deploying generative AI across the enterprise. Join us to explore best practices, challenges, and future directions for integrating AI into federal agencies, driving innovation, and delivering better outcomes for the public.
Participants:
• David Mathison: CEO, CDAO/CAIO Summit (moderator)
• Chris Kraft: Deputy CTO, AI/Emerging Technology, U.S. Department of Homeland Security will share insights from his role as Co-Chair of the White House CAIO Council GenAI Working Group.
• Dr. Mike Horton: Chief Artificial Intelligence Officer (Acting); Deputy Chief Data Officer at U.S. Department of Transportation
• Spence Green: CEO of Lilt, will provide a perspective from the tech industry on how Gen AI can enhance government functions and improve citizen engagement.
• Vinay Vijay Singh: Chief AI Officer, U.S. Department of Housing and Urban Development will discuss leveraging AI to improve public services and housing initiatives.

Key Takeaways include:
• Best Practices for AI Deployment: Learn effective strategies for implementing generative AI within government entities to enhance operations and services.
• Case Studies and Pilot Programs: Gain insights from successful AI pilots at FEMA and other federal agencies, highlighting real-world applications and results.
• Ethical and Responsible AI: Understand the importance of ethical considerations and trust in AI deployment, ensuring responsible use of technology.
• Interagency Collaboration: Discover how collaboration across different government agencies and with industry partners can drive AI innovation and efficiency.
• Future Directions: Explore the future landscape of AI in government, including upcoming technologies, potential challenges, and opportunities for growth.

•Florin Rotar: Chief AI Officer, Avanade
Florin will share insights on his most important lesson from spearheading a global organization's strategic AI transformation. The real value of AI does not lie in technology. It begins with what truly matters: people.

He’ll explore why the most successful CAIOs emphasize getting their organisations ready for AI. They work to turn doubt – for example that AI will replace jobs or is just a fad – into constructive trust. Only then can AI be adopted and scaled in a way that delivers meaningful impact.

The keynote will include Florin's candid reflections on what he would advise his younger self from 2-3 years ago and how these insights can help those who are beginning or expanding their AI efforts.

You can expect three key takeaways:
• Top 10 lessons on AI organizational readiness, adoption and value generation
• The "dos and don’ts" to be successful as a Chief AI Officer
• What priorities to get right – and the common mistakes to avoid

•Danny Brock: VP of Customer Success, Fiddler AI
Large language models (LLMs) are transforming business operations and decision-making. However, deploying these models in organizations presents significant trust, reliability, and ethical challenges. This keynote will explore how AI observability ensures the performance, reliability, and transparency of LLMs, providing essential monitoring, diagnostics, and interpretability. Through real-world case studies and industry best practices, we will highlight risks and challenges in deploying LLMs and generative AI.

Key takeaways:
Attendees will learn key metrics and frameworks for LLM evaluation, governance, and monitoring, which are essential for trust in high-stakes industries like government, finance, and healthcare. You will discover how AI observability is not just a tool but a necessity for harnessing the true power of LLMs, driving growth, and fostering trust in AI-driven decision-making across diverse sectors.

As AI technologies revolutionize the public sector, securing top AI talent becomes critical for driving innovation, enhancing cybersecurity, and ensuring national competitiveness. This panel brings together leading experts from pivotal government entities to discuss strategies for attracting, developing, and retaining AI professionals within the federal landscape. Join us for a dynamic discussion on the future of AI talent in government and how to cultivate an environment where innovation thrives and security is enhanced.
Participants:
• David Mathison: CEO, CDAO/CAIO Summit (moderator)
• Guy Cavallo: Acting Chief AI Officer, Office of Personnel Management, will delve into recent policy and administrative actions enacted to support hiring and securing AI talent in the federal government.
• Michael Boyce: Director, DHS AI Corps, US Department of Homeland Security will share insights on his progress in building specialized AI teams for national security.
• Olivia Zhu: Assistant Director for AI Policy, The White House will discuss the role of the executive branch in promoting policies and fostering a culture of digital transformation
• Stephanie Hunter: Deputy Director, Defense Digital Talent Management, Development and Training at DoD Chief Digital and Artificial Intelligence Office, will highlight initiatives to integrate AI expertise in defense.

Key Takeaways include:
• Attracting Top AI Talent: Learn effective strategies for attracting skilled AI professionals to government and federal agencies, ensuring a national competitive edge in technology and innovation.
• Developing AI Expertise: Understand the importance of continuous training and development programs to enhance the skills of AI professionals within government entities.
• Retention Strategies: Gain insights into best practices for retaining top AI talent, including career advancement opportunities, job satisfaction, and a supportive work environment.
• Enhancing Cybersecurity: Discover how specialized AI talent can bolster cybersecurity efforts, protecting national infrastructure and sensitive data from emerging threats.
• Driving National Competitiveness: Explore how a robust AI workforce contributes to national competitiveness, positioning the country as a leader in AI innovation and technological advancement.
• Creating a Thriving Innovation Environment: Learn how to cultivate a workplace culture that encourages innovation, creativity, and collaboration among AI professionals in the public sector.

AI capabilities are pivotal to organizational success, but demand has far outstripped supply for C-level AI talent, leaving most small and medium businesses unable to afford the expense of a full-time 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 AI talent and leadership without the long-term expense and commitment of a full-time executive.
Participants:
• Tanya Dua: Technology Editor, LinkedIn (moderator)
• David Mathison: CEO, InnovationExchange.ai
• 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 AI strategy NOW, and help align AI projects with overall business and organizational goals immediately. You can't afford to wait 9-12 months for your CHRO to hire a CAIO.
• Immediate Impact: Quickly identify AI opportunities, address challenges, and provide actionable recommendations with seasoned AI professionals and our partner ecosystem.
• Accelerated Implementation: Implement AI initiatives and projects NOW with the guidance of experienced AI leaders, reducing the time to achieve significant AI-driven outcomes.
• Diverse Experience: Benefit from the diverse experience of a fractional CAIO 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 AI leadership that can adapt to the organization's evolving needs and projects.
• Enhanced Innovation: Drive innovation within the organization by leveraging the fractional CAIO's experience in cutting-edge AI technologies and trends.
• Reduced Risk: Mitigate the risks associated with hiring a full-time CAIO, such as the possibility of misalignment or underperformance, by initially engaging a fractional CAIO.
• Specialized Skills: Access specialized AI skills and knowledge that may not be available in-house, enhancing the organization's ability to tackle complex AI challenges.
• Cost-Effective Expertise: Access high-level 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 AI talent by having a seasoned CAIO mentor and guide existing team members, fostering a culture of continuous learning and growth.

• Sree Sreenivasan: CEO at Digimentors; Former CDO of NYC, Metropolitan Museum of Art, Columbia University
• David Mathison: CEO, InnovationExchange.ai