Registration and Breakfast

Welcome and Introductions

John Matelski, Executive Director, Center for Digital Government (CDG)

Teri Takai, Chief Programs Officer, Center for Digital Government (CDG)

Future-Proofing Data Governance, Culture, and Workforce Readiness

The importance of a strong data strategy continues to dominate technology initiatives from AI to cybersecurity. As Chief Data Officers have driven data cultures in their organization, there is much that still needs to be done. This session will look at the actions that Utah has taken to address the data culture of the future.

Moderator: Teri Takai, Chief Programs Officer, CDG

Christopher Bramwell, Chief Privacy Officer/Director of the Office of Data Privacy, State of Utah

Dr. David R. Connelly, Associate Provost-Student Success, Utah Valley University

The Key Role of Data in the Future of Government Operations

As governments move to drive decision making and increase operational efficiency and effectiveness, there will be new pressures on data integrity, privacy, and transparency. What are the opportunities and how will governments address them? This session will highlight case studies on real-time analytics and their impact on government operations, including cybersecurity monitoring, fraud detection, and citizen service delivery.

Moderator: John Matelski, Executive Director, CDG

Javaid Lal, Director of Performance & Innovation, Salt Lake County, Utah

Raivo Murnieks, State Chief Data Officer, Office of Data & Efficiency, Department of Administrative Services, State of Ohio

Matthew Sokol, Chief Data Officer, Digital Services – Enterprise Data, Office of Chief Technology Officer, Government of the District of Columbia

Case Study – Using AI to Understand Complex Transportation Conditions & Implement Strategies to Drive Change (Deloitte)

Break

Case Study – Dallas County Health and Human Services Uses Accurate Data to Protech the Health of Its Citizens (Informatica)

Navigating Ethical Data Use, Privacy, and Compliance in the AI Era

This interactive session will discuss how participants are tackling the challenges related to data privacy, AI governance, and ethical responsibility.

Moderator: Teri Takai, Chief Programs Officer, CDG

Rebecca Cai, Chief Data Officer, State of Hawaiʻi

Doug Schelb, Deputy Chief Information Security Officer, Department of Information Technology, State of New Hampshire

Jonathan Williams-Kinsel, Chief Innovation Officer, Technology & Innovation, Office of Civic Innovation, City of Long Beach, California

Case Study – Higher Education Institution Turns to Cisco for Secure AI Reference Architecture (Cisco)

Lunch

Case Study – “Always-On” Unified Data Driven Outcomes that Leverage AO, NLP, and ML (NetApp)

Data Architecture 3.0: Modernizing Data Infrastructure for Scalability, Security and AI Readiness

The evolution from data warehouses to lakes to lake houses is reshaping state and local government data and technical architectures. The architectures must support a broad set of priorities – accessibility, compliance, AI-readiness, and security to name a few. This session will focus on strategies for scalable, secure cloud adoption and hybrid infrastructure, managing AI workloads and ensuring compliance with evolving security requirements, and overcoming legacy system challenges while integrating next-generation technologies.

Moderator: John Matelski, Executive Director, CDG

Marina Kelly, Chief Information Security Officer, City of Raleigh, North Carolina

Brian Kreklau, Chief Technical Officer, Department of Administration, Division of Enterprise Technology (DET), State of Wisconsin

Case Study – Elastic

Break

What Comes Next: The Data Architecture of the Future

The challenges of building the data architecture for the future will continue to be a major area of focus for technology organizations. This session will take a look at the next 5 years and envision the next set of challenges and how organizations must be prepared.

John Matelski, Executive Director, CDG

Teri Takai, Chief Programs Officer, CDG

Breakout Groups: What Did We Learn and What is Missing in the Data Conversation?

With the fast pace of change, it is impossible to cover everything in one day. The closing session will provide an opportunity to share what we learned and to brainstorm gaps in today’s discussion and explore new emerging priorities. We will break into three groups so select your group of interest. This session will be an open, wide-ranging discussion on what comes next. What didn’t we cover in the summit and what needs to be addressed as your role in governing and providing data becomes more and more essential to how government operates.

The Four Topics are:

1. Building Data Culture to Meet the AI Challenge: Workforce, Literacy, and Leadership

2. AI Risks – What Are the Greatest Concerns: Transparency, Ethics, Privacy

3. Data Architecture Modernization: How to Plan for the Future Data Need

4. Operationalizing Data and AI: Governance, Investment, and Execution

John Matelski, Executive Director, CDG

Teri Takai, Chief Programs Officer, CDG

Closing Remarks and Next Steps

John Matelski, Executive Director, CDG

Teri Takai, Chief Programs Officer, CDG

Summit Adjourns