CDAO Government schedule

• Driving innovation and boosting efficiency through data-driven insights
• Optimizing business operations with data-driven process improvements
• Promoting transparency: Building trust and accountability between government and residents

• Discuss how the accuracy, completeness, and consistency of data impact AI performance
• Examine the ethical implications of data collection and usage, including privacy concerns and bias mitigation
• Explore how large datasets can enhance AI capabilities and the tools used to manage and process big data

Moderated by:

Jason Cardone, Strategic Federal Account Executive, CLOUDERA GOVERNMENT SOLUTIONS

Panelist:

Patrick McLoughlin, Executive Director, MD THINK, STATE OF MARYLAND

• Enhancing the effectiveness and efficiency of each stage of policymaking
• Establishing robust governance structures from the outset of the AI/CX journey 
• Building consistent CX standards across government agencies and services

• Enabling transformation and decision making with trusted data
• Ensuring data quality, consistency, and integration
• Improving the quality and speed of government decision-making at scale by automating administrative tasks

• Why AI-driven data governance is essential to meet ZTA mandates
• How to work iteratively on all ZTA pillars
• Achieving ZTA with data inventory, labeling, access determination and more

• How can self-regulation in AI be a strong approach to better decision making  
• Identifying high-impact areas for AI implementation
• Strategies for integrating AI into public services
• Measuring ROI from AI investments

Moderated by:

Michael R. Anderson, Chief Strategist, Public Sector, INFORMATICA

• The need for data officers to adopt strong security and governance processes
• How innovative technologies such as AI and Machine Learning can be leveraged to modernize government data architectures?
• Prioritize building an efficient organization by establishing clear data governance policies to promote data driven decisions at all levels

Moderated by: 

Abigail Kurtzman, Product Marketing Manager and Technology Evangelist, TRICENTIS

Panelists:

Dr. ClarLynda Williams-DeVane, PhD, Chief Deputy Secretary, NC DHHS 

Leigh Pence, Director Enterprise Strategy & Governance, FREDDIE MAC

Northrop Grumman faced a problem common to many in the federal/defense contractor space. Legacy data siloed in multiple locations and formats made it difficult to make decisions based on complete information, and difficulty federating that data meant any decision made may not be timely. By partnering with Starburst, Aaron Rich, Chief Data Architect, Northrup Grumman and his team have been able to solve these challenges and access relevant data where it lives. This means faster querying and time to insight, all built on a solution that allows for self-service.

Join Aaron and Starburst Director of Public Sector Seth Nylund for a fireside chat exploring how Northrop Grumman and Starburst are working together to increase speed and decision velocity, and where they see opportunities to expand their partnership in the future.

• Align your data & analytics strategy with cross-government & organization level priorities and goals
• Results driven data flows that maximize the value of your data and support cross agency integration to provide decision support information relevant to your stakeholders
• Model based data integration and automation pipelines to promote more agile information gathering and analytics adaptable for a range of applications
• A variety of critical infrastructure, public safety, environmental and disaster management application examples will be explored

The widespread adoption of generative AI has excited the masses across nearly every industry regardless of company size and tenure. However, history has taught us that even the most transformative solutions can be rejected when its return on value is not clearly articulated. In this session, we will discuss the rise of generative AI, discriminative AI’s place in today’s workplace, pitfalls for AI, and how to maximize value for AI today and into the future.

Moderated by: 

Dr. Napoleon Paxton, VP of Federal Technology, AI SQUARED

Contributors:

Fumin Yang, Director, Product Management | Business Intelligence & Advanced Analytics Transformation, FINRA

• Defining the state of the possible – how mature are AI technologies currently, what are the realistic use-cases, and what is hype?
• Getting beyond the buzzword to identify what opportunities AI presents to Governmental organizations seeking to improve their delivery of services?
• Avoiding bias in data sets, algorithms, and machine learning models to ensure citizens are treated fairly & equitably

Moderated by: 

Josh Martin, Former CDAO, STATE OF INDIANA

Contributors:

Dr. Delester Brown Jr., Chief Data Officer and Chief AI Officer, NATIONAL GUARD BUREAU

As AI transforms the research ecosystem and reshapes how organizations operate, it’s time for government, academia, and industry to rethink how they collaborate to drive innovation and serve the public good. I will share a vision and concrete examples of new cross-sector partnerships that not only implement AI to accelerate today’s R&D but also help shape a vibrant, forward-looking research ecosystem. In many ways, we are all “kids” in the AI era and face shared challenges: how to develop AI that addresses societal needs, how to implement AI to strengthen our institutions, how to prepare a future-ready workforce, and how to uphold human dignity and values in the workplace. Each sector brings unique strengths, and by learning from one another, we can “grow up” together and co-create an AI-powered future for humans to flourish.

• Unlock innovation, improve services, and create sustainable value
• Prioritize data gathering and analysis
• Challenges to data sharing

Moderated by:

Peter Holden, Senior Advocate, EDM COUNCIL

Kyle Morton, COO, EDM COUNCIL

• Techniques for maintaining data accuracy and reliability
• Ethical AI practices in the public sector
• Building public trust through AI governance
• Balancing innovation and ethics in AI development

• Where do you find new potential collaborators to best enable innovation?
• What common practical, cultural, and legal issues can make collaboration difficult, and how can these be overcome?

Moderated by: 

Leigh Pence, Director Enterprise Strategy & Governance, FREDDIE MAC

Moderated by: 

QLIK

• Aligning data initiatives with business goals and driving innovation through AI adoption
• Understanding their roles and responsibilities in the context of AI
• Addressing security and privacy concerns

Moderated by: 

Joah G. Iannotta, Ph.D., Technical Director for Data and AI Governance,

ABS GROUP

Former Acting Deputy Assistant Commissioner for Data at the Bureau of the Fiscal Service, U.S. DEPARTMENT OF THE TREASURY

Contributors:

Irena Zadonsky, Director, Data and Analytics Architecture, AMTRAK