Washington, DC • Convene Hamilton Square • July 28, 2026
Join us in the historic city of Washington, DC, for this exclusive, in‑person event bringing private and public sector leaders, practitioners and partners together around the real‑world application of data and AI.
SAS Innovate on Tour will give you practical, evidence-based insights on how:
- Organizations make decisions confidently with AI they can trust.
- Industry-specific SAS solutions help organizations solve their most complex challenges.
- Partners help scale AI across complex environments.
- Transparency and governance unlock innovation with AI.
Plus, you’ll connect with industry peers, experts and partners to share best practices in data and AI.
Whether you define strategy, build models, deploy systems or support clients, SAS Innovate on Tour is your opportunity to join us in our 50th year as a trusted partner across business, government and society.
SAS Innovate on Tour DC – Registration coming soon
What to expect
Join us in Washington, DC, to learn how to use data and AI to boost productivity. This complimentary event offers something for everyone – top executives, IT directors, data scientists, engineers, analysts and SAS Partners across the private and public sector industries.
Turn data into decisions you trust
Hear how SAS makes sure AI can be trusted and how industries feel safe and confident in the decisions they make.
Responsibly use trusted and transparently governed AI
Learn how you can drive meaningful impact for your organization using data and AI responsibly and effectively, all while prioritizing transparency and governance.
Industry-first insights
Hear real stories from your industry and learn how peers are applying AI to solve sector-specific challenges.
Actionable ideas, real impact
Discover ways to scale AI across your organization with simplicity and speed. Get practical guidance on building compliant, future-proof AI systems.
Conference Experience
Join us. Bring your team. We’ll bring content, inspiration, networking and fun. On-site experiences coming soon – stay tuned!
Location
Convene Hamilton Square, Downtown Washington, DC
600 14th St NW, Washington, DC 20005
Registration
Registration will open soon. Save the date and stay tuned!
Thanks to our sponsors and partners
Jenn Chase
Executive Vice President and Chief Marketing Officer, SAS
LinkedIn
Jenn Chase is Executive Vice President and Chief Marketing Officer at SAS, where she leads the global marketing organization with a focus on relevance, trust and measurable business impact. In a rapidly evolving data and AI landscape, her strategy centers on helping organizations adopt AI responsibly and with confidence by building internal capability, shared understanding, and strong governance. Chase emphasizes the critical intersection of human expertise and advanced analytics. She helps organizations strengthen AI literacy, align teams around common language, and turn responsible use of AI into sustained, measurable performance.
Udo Sglavo
Vice President, Applied AI and Modeling R&D, SAS
LinkedIn
Udo Sglavo leads Applied Artificial Intelligence and Modeling Research and Development at SAS. With a 25-year track record of fostering technology innovation and excellence, Udo heads a team of expert developers and data scientists dedicated to pioneering cutting-edge software and leveraging advanced models to transform the way the world works. By imagining and building the next generation of AI-driven models and software solutions, Udo helps organizations harness the power of data and analytics to solve their toughest business challenges and outpace the world around them. Udo’s commitment to pushing the boundaries of what AI can achieve has earned him recognition as a global thought leader shaping the future of technology. In addition, Udo has written three publications and holds four patents in advanced analytics.
Sterlina Smith
Global Lead, AI + Society, SAS
LinkedIn
Sterlina Smith leads global efforts at the intersection of responsible AI, ethics and trustworthy analytics, helping organizations turn complex technology challenges into practical, human-centered strategies. As Global Lead for AI + Society at SAS, she advises senior executives and cross-functional teams on AI governance, responsible innovation and the practices that support trustworthy, transparent and accountable use of AI. Her work spans executive engagement, cross-functional collaboration and leadership of Data for Good programs that apply analytics and AI to social and public sector challenges, connecting responsible AI principles to measurable community impact, stronger trust and long-term business value.
Alyssa Farrell
Senior Director, Portfolio Marketing, SAS
LinkedIn
Alyssa Farrell serves as Senior Director of Portfolio Marketing at SAS, leading platform and horizontal solutions marketing as well as the company’s Launch Program Office. Known for aligning technology innovation with shifting market demands, Alyssa shapes marketing strategies that bring together thought leadership, high-impact content, and go-to-market execution across SAS’s data and AI portfolio—helping organizations turn analytics into competitive advantage.
Prior to joining SAS, Alyssa was a senior consultant in the Deloitte Public Sector practice. She earned her MBA from the University of Arizona and holds a Bachelor of Arts from Duke University.
Tom Sabo
Advisory Solutions Architect, SAS
Tom Sabo is an advisory solutions architect at SAS who, since 2005, has been immersed in the field of text analytics and AI as it applies to government challenges. He presents work internationally on diverse topics including deep learning applied to adverse health event assessments, counter human trafficking solutions, and combining text analytics and generative AI for public sector solutions including food safety applications, disease surveillance and regulations analysis.
Tom developed much of the SAS strategy for bringing innovative work from the public health sector to related health and life sciences sectors. He is also deeply involved in pioneering work combining SAS text analytics solutions with large language models across many government and commercial use cases. He holds a bachelor’s degree in cognitive science and a master’s in computer science, both from the University of Virginia.





