The Mission-Ready Cloud: Public Sector Innovation at Google Next ‘26
At Google Cloud Next ‘26 in Las Vegas, public sector leaders moved beyond the early hype of generative AI to focus on what matters most—delivering measurable mission outcomes. Across government, industry, and academia, the conversation has shifted toward building trusted, scalable, and resilient systems that align technology with real-world impact. This program brings together key voices driving that transformation, exploring how cloud infrastructure, AI, and acquisition strategies are evolving to meet the demands of modern government
From AI Hype to System-Level Outcomes
Sindhu Venkata, VP of Technology Delivery at Resultant, and Dr. Chrysoula Malogianni, Chief Digital Experience Officer at Old Dominion University, emphasized a critical shift in how organizations approach artificial intelligence
The Cloud as a Mission-Critical Platform
Elizabeth Moon, Managing Director of Google Public Sector, described how cloud computing is evolving into something far more foundational than a traditional vendor service.
Agentic AI and the Future Workforce
Sean Maday, Co-Founder and CTO at Game Plan Tech, and Dr. Deya Banisakher, Deputy Director for Enterprise Frontier AI at the DoD’s Chief Digital and Artificial Intelligence Office, explored how agentic AI is reshaping decision-making and workforce development across the public sector.
Closing the Gap Between Acquisition and Innovation
Jeff Dowdy, Director at Carahsoft, addressed one of the most persistent challenges in government technology adoption: the gap between the pace of innovation and the speed of procurement.
The Next Wave of Government Cloud Modernization
Dan Bichsel, VP of Public Sector at AvePoint, discusses why modernization remains one of the top priorities for government CIOs and how cloud evolution is entering a new phase.
Preparing the Workforce for AI: Why Change Management Matters More Than Ever
Arun Reddy, CEO of Zion Cloud Solutions, explains why workforce readiness is one of the most important factors in successful AI adoption across government and public sector organizations.
AI, Data Interoperability, and Secure Workloads in Government
Matt Munsch, Managing Director of Google Cloud Delivery at Dark Wolf discusses one of the biggest challenges facing government AI adoption: data interoperability.
AI Agents, Accessibility, and the Future of Government Customer Experience
Dustin Dye, Co-Founder and CEO of Botcopy, joins Fed Gov Today at Google Cloud Next ‘26 to discuss how AI-powered contact center solutions are transforming citizen engagement across state and local government.
Secure AI and Cybersecurity in the Public Sector
Jay Mehta, CTO of Global Solutions Group, discusses the growing cybersecurity challenges facing government agencies in the age of AI and digital transformation.
Bridging Legacy Systems and AI: How Agencies Can Modernize Data Without Starting Over
Rajkumar Irudayaraj, SVP of Technology and Innovation Partners at Alteryx, discusses how government agencies can modernize data operations without dismantling decades-old legacy systems.
Modernizing AI Infrastructure for Government at Scale
Alex Nataros, CTO of Cirrascale Cloud Services, discusses the rise of GPU-powered AI infrastructure and the growing role of modernization at scale across government.
