Conference Co-Chairs: Eliot Weinman, Founder and Conference Chair, AI World & AI World Government, Cambridge Innovation Institute
Scott Lundstrom, Group Vice President and General Manager of IDC Government and Health Insights


Keynote Speakers:
William Mark, PhD, President, SRI 
Ted Okada, CTO, FEMA 
Ronald Stroup, Chief Systems Engineer, Federal Aviation Administration, NAS Enterprise Planning & Analysis
AI Director, U.S. Department of Energy 
Robert Ames, Senior Director, National Technology Strategy, VMWare
Microsoft Executive to be announced

Closing Plenary Session  
Moderator: Scott Lundstrom, Group Vice President and General Manager, IDC Government and Health Insights; Conference Co-Chair, AI World Government

  • Adelaide O’Brien, Research Director, Government Digital Transformation Strategies, IDC 
  • David Schubmehl, Research Director Cognitive/Artificial Intelligent Systems and Content Analytics, IDC 
  • Shawn McCarthy, Research Director, IDC 
  • Cynthia Burghard, Research Director, Value-Based IT Transformation Strategies, IDC Health Insights 
  • Maureen Fleming, Program Vice President, Integration and Process Automation, IDC 
  • Holly Muscolino, Research Vice President, Content and Process Strategies and the Future of Work, IDC 

June 22 | Day 1

Morning Summit


Executive Summit: the Future of Data, AI, and Work 
Scott Lundstrom, Group Vice President and General Manager of IDC Government and Health Insights
David A. Bray, PhD, At Atlantic Council, Incubating New Global Center & Senior Fellow, Institute for Human-Machine Cognition

In the digital era, AI is at the center stage of business intelligence. Data is the core of the new digital economy and needs to be managed from edge to core to cloud and analyzed in near real time for insights. Due to the complexity and resources required for AI, model creation tends to be time intensive, expensive, experimental, and often "one-off" solutions. Most organizations haven't made it beyond the incremental benefits of a single business process to full production agency wide. At AI World Government 2020 agency and industry executives with experience confronting the challenges of operationalizing and scaling AI will discuss how they are dealing with roadblocks, lessons learned, strategies in play to move forward, and taking responsible and ethical action to affect outcomes. 

Full Day Seminar

Ronald Schmelzer, Managing Partner, Principal Analyst, Cognilytica
Kathleen Walch, Managing Partner, Principal Analyst, Cognilytica

Artificial Intelligence (AI), machine learning (ML), and deep learning (DL) are transforming the way we work, live, and interact with each other. The emergence of these cognitive technologies is transforming the way public sector agencies and citizens interact with each other. However, putting AI, ML, and DL into practice and getting beyond the buzzwords, as well as procuring these technologies can be a challenge. This seminar focuses on bringing real world practices, use cases, and methodologies to make AI projects a tangible success for public and private sector organizations. It will also help procurement professionals to understand why procuring AI is different than procuring traditional application development technology. Attendees will gain insight into what makes AI projects a success across a wide range of industries, learn about the seven patterns of AI, and learn about emerging cognitive automation and intelligent automation approaches.

Click here for details

Co-Chairs: Bob Gourley, Co-Founder and CTO, OODA LLC
David A. Bray, PhD, At Atlantic Council, Incubating New Global Center & Senior Fellow, Institute for Human-Machine Cognition

AI has injected new capabilities into government and is already improving the missions and functions of federal, state and local governments as well as governments globally. If this were the end of the story, our task would be simple. We would only need to accelerate AI into every facet of every government.  But we live in a world where not all humans are angels and not all nations respect the sovereignty of others. And with globally interconnected IT allowing criminals, fraudsters and hostile nations to continuously innovate, we have to be mindful of the challenges of cybersecurity and counter-misinformation.

Experience also shows that AI itself has unique security challenges because of the nature of the algorithms involved. Enterprises are finding that their AI solutions need special protections. AI needs to be developed in the most secure manner possible. Adversaries who can access training data can manipulate it to drive outcomes of ML. Algorithms themselves must also be protected. Many AI solutions have been shown to be biased and/or bigoted. And in some cases, the solutions will generate results that are unexplainable, making security and compliance even more complicated.  

This half day seminar, led by two widely recognized AI experts, will bring together a range of experienced practitioners to share lessons learned and best practices in mitigating these serious challenges so we can accelerate the fielding of AI in service to governments. 

Chair: Beth-Anne Schuelke-Leech, PEng, MBA, PhD, Associate Professor, Engineering Management and Entrepreneurship, University of Windsor 
Chair of the IEEE Society on Social Implications of Technology Standards Committee (SSIT SC)

What do public and private sector officials need to know about non-governmental efforts to develop standards for Artificial Intelligence? In this workshop, representatives from the IEEE standards association will introduce the ways IEEE is moving into standards-making that addresses the social implications of technology. We aspire to introduce attendees to the IEEE Society for Social Implications of Technology standards-making and the IEEE Ethically Aligned Design initiative. Components of this workshop will include panels that discuss the issues in developing and implementing standards, as well as invite participants to offer their guidance on the standards that their industry will need as they move forward to incorporate AI into their workflow.

June 23 | Day 2

Chair: Adelaide O’Brien, Research Director, Government Digital Transformation Strategies, IDC

AI will prove to be a valuable asset for government agencies, but several challenges remain in moving beyond RPA and chatbots to reach the goal of augmented intelligence. In this track, you will hear from agency and industry executives with experience confronting these challenges, how they are dealing with roadblocks, strategies in play to move forward, and outcomes achieved. Challenges and solutions discussed will include:

  • Reengineering agency workflows and processes
  • Workforce training on using and interacting with AI
  • Deciding who owns the data
  • Developing data management and governance strategies
  • Organizing stakeholders to determine roles of each team member
  • Creating policies to ensure responsible and ethical AI
  • Leveraging industry partners
  • Deploying best practices

Talk Title to be Announced 
Steve Bennett, Director, Public Sector and Financial Services Practice, SAS, Former Director of the U.S. National Biosurveillance Integration Center in the Department of Homeland Security

A Team Approach to Successfully Deploying AI – AI Strategy at NASA  
Edward L. McLarney, A/CIO for Transformation; Data Science Strategic Lead, Office of the Chief Information Officer, NASA Langley Research Center 
This talk will review the pillars of NASA’s AI strategy, to include focusing on practical application of AI, making AI platforms available, AI training for different roles, and forming an Agency-wide AI community of action.  Ed will also discuss insights and lessons from team formation, strategy creation, early implementation, and interdependencies with other aspects of transformation. 

Panel: Data Management and Governance Strategies 
By November 2020, all agencies will have begun enterprise-wide data governance activities such as an agency data strategy or road map, capital planning for enterprise data assets and infrastructure, priority data governance for such practices as preparing data for use in artificial intelligence, and a master data management program. In this session, agencies share preliminary plans and best practices of data management and governance strategies. 
Moderator: Eric Ewing, Director, Artificial Intelligence Center of Excellence, Centers of Excellence, General Services Administration (GSA TTS) 'pending approval'
Caryl N. Brzymialkiewicz, PhD, Chief Data and Analytics Officer, Department of Health and Human Services, Office of Inspector General ‘pending approval’ 

Panel: Sharing Agency Best Practices and Leveraging Other Agency Solutions to Implement AI 
Key challenges in the use of AI in Government are how to use it effectively and how to educate colleagues about how it can improve operations. This panel will focus on agency best practices, policy integration, and related AI issues.  Some issues include how to build a cross-functional team and what types of projects may be doable and useful to the agency mission. To use AI effectively, it’s important to figure out and focus on project ideas in which AI can make a significant difference, improve productivity or advance other key functions.  Thinking through the process of moving forward with AI, and discussing data requirements are also important steps. The audience will gain an understanding of the importance of Artificial Intelligence (AI) for government applications, obtain additional resources for further information, and hear about some policy implications.
Moderator: Margaret Williams, Vice Chair, Learning and Development - USPS, Senior Executives Association  

  • Jaime Anne Earnst, MPH PhD, ORISE Fellow/ Translational Scientist, Deputy Chief of Staff, G9, US Army, Department of Defense 
  • Elizabeth Varner, Women's Bar Association of DC, Co-Chair, 20+ Years of Experience; Adjunct Professor, Indiana University, Robert H. McKinney School of Law  
  • Catherine Pagano, Board Member, Women’s Bar Association of DC
  • ElectrifAi speaker to be announced

Creating a Culture of Innovation Around AI 
Bryan Lane, Director, Data & AI, Technology Transformation Service, General Services Administration (GSA) 'pending approval'  
The General Services Administration is spearheading the acceleration and adoption of AI related technology across the federal government through our Centers of Excellence, Community of Practice, and government-wide services. This presentation summarizes how those efforts can operationalize AI within an organization, including top down and bottom up approaches, success stories, and organizational transformation techniques to support AI-enabled initiatives. 

Designing Policies to Ensure Responsible and Ethical AI  
Jessica Young, Director, Research and Analysis, National Security Commission on AI  
Chuck Howell, Chief Scientist of Dependable AI, MITRE Corporation 
In addition to adhering to NIST policies, agencies should seek industry partners that understand the ethical, legal, cultural and social implications of AI, as well as those developing methods for testing AI systems for fairness. This session includes an update from NIST as well as individual agency efforts in deploying responsible and ethical AI. 

Chair: David Schubmehl, Research Director Cognitive/Artificial Intelligent Systems and Content Analytics, IDC

AI is the means by which organizations are enabling and creating digital transformation and the government is working toward becoming an AI organization. This track provides attendees with a roadmap for the evolution of AI technologies over the next few years. Talks and panels will include:

  • Use Cases & Advances in Computer Vision and Facial Recognition
  • Language-based AI – Improved NLP and Translational Technology
  • AI for Autonomous Vehicles, Drones and Robotics
  • The role of AI in cyber and cyber-physical security
  • Machine Learning and AI Enabling the Investigation & Discovery Process through Knowledge Graphs
  • Cutting-Edge Topics: Quantum Computing, Training Data, AI Governance, Explainable & Trusted AI, Synthetic Data, AI at Edge

Talk Title to be Announced 
ALEX Executive

Applied Innovations using AI and Emerging Technologies  
Pamela Isom, Deputy Chief Information Officer for Architecture, Engineering, Technology, and innovation, U.S. Department of Energy, Office of the Chief Information Officer
Digital transformation means nothing unless we are solving business problems and addressing mission needs. Learn how artificial intelligence and other emerging technologies are being applied in the government ensuring that innovations really matter, including critical proof of concepts, pilot initiatives, and optimization of an innovation community center – a digital hub that ignites innovation.   

Small Data, Big Insights: Visual Learning from Sparse Data and Annotations  
Raja Bala, PhD, Principal Scientist and Manager of Collaborative Visual Computing Group, PARC, a Xerox Company 
While deep learning has defined the state of the art for many computer vision tasks, its practical deployment is limited by the requirement for large quantities of annotated image data.  In many specialized applications such as medical imaging, data acquisition and annotation is costly and laborious; hence analysis techniques must learn to draw useful interpretations from small datasets.  In this talk we highlight several approaches developed at PARC to tackle the “small data” challenge. This includes incorporating domain-specific constraints into deep networks, techniques to extract structure from unlabeled data, and human-in-loop approaches for smart image acquisition and annotation.

Panel: AI at the Edge & Emerging Technologies
Moderator: Roberta (Bobbie) G. Stempfley, Director CERT Division, Software Engineering Institute, Carnegie Mellon University


  • Summer Fowler, CIO/CISO, Argo AI  
  • Joseph Raetano, Artificial Intelligence Researcher, US Federal Government 
  • Amy Henninger, Senior Advisor, Software & Cybersecurity, Office of the Secretary of Defense 

Talk Title to be Announced
REI Systems Executive

Panel: Strategic Development of Artificial Intelligence Technologies 
Artificial intelligence (AI) is not an end in itself, but rather assists with success in real-world, human-centric problems. As such, AI should be designed to supplement human efforts when AI can perform better and yield to human efforts when humans perform better. In this presentation, I will review how human intelligence and AI can be mutually leveraged to produce optimal outcomes to problems ranging from document editing to the battlefield.

Moderator: Daniel Cassenti, Research Psychologist, U.S. Army Research Laboratory


  • Carl Rubino, Program Manager, IARPA Office of the Director of National Intelligence  
  • Thom Hawkins, Project Office/Applied AI Lead, Technical Management Division, US Army Project Manager Mission Command
  • Michelle Vanni, Computer Scientist, U.S. Army Research Laboratory

Chair: Shawn McCarthy, Research Director, IDC

As government IT organizations continue to explore ways that artificial intelligence, machine learning and deep learning can enable innovation, productivity, and efficiencies, a key question is how to build the right environment and infrastructure to support these compute-intensive, next-generation applications.

From portable devices to edge computing nodes to cloud-based data centers, AI demands a tremendous amount of resources. This track explores current use cases of how cloud-based infrastructure helps organizations capitalize on the potential of AI and machine learning, and provides best practice examples of agencies on the cutting edge of AI and ML implementations.

Use Case Opportunities for the Application of AI in the National Airspace System Critical Infrastructure Sector  
Jeff Lyons, Electronics Engineer, Manager, Federal Aviation Administration, National Airspace Engineering 
Learn about the opportunities and challenges of applying AI in the National Airspace System (NAS) Critical Infrastructure sector. The transformation must address both the planning and physical infrastructure environments. This session will discuss the development of a proof-of-concept to apply AI to the NAS-impact Enhanced Strategic Awareness Toolbox (NESAT) in order to exercise more effective planning, acquisition, and implementation of the NAS, deliver improved performance to the NAS and minimize the impact to NAS end-users.   

Talk Title to be Announced
Brian Drake, Future Capabilities and Innovation Office, Defense Intelligence Agency

Panel: Infrastructure Transformation: Overcoming Challenges to AI Adoption 
This multi-agency panel will discuss infrastructure considerations in establishing a scalable AI architecture such as challenges around data management and access, cloud infrastructure implementation, and finding the necessary expertise.   
Moderator: Shawn McCarthy, Research Director, IDC 

  • Brian Thomas, PhD, Agency Data Scientist and Program Manager for Open Innovation, NASA  
  • Daniel Morgan, Chief Data Officer and Acting Chief Technology Officer, US Department of Transportation 
  • Zack Schwartz, Deputy Division Chief, U.S. Census Bureau  
  • DataRobot Executive

Leveraging the Federal Data Strategy to Advance AI in Government 
Nick Hart, PhD, CEO, Data Coalition 
The Federal Data Strategy and the 2020 Action Plan chart a course for the federal government to better use and manage data over the next decade. The Data Coalition – America’s premier voice on data policy -- partnered with the White House in 2019 to support development of a useful and realistic plan of action. The final strategy provides the starting point for many federal agencies to advance data governance, data quality, data discoverability -- all essential to the success of AI. This presentation will focus on how agencies can leverage the new data strategy to meaningfully advance applications of AI using government-collected data in 2020 and beyond. 

How the Federal Government can Execute AI Strategically, Programmatically, and Tactically 
Lee Becker, Chief of Staff, Veterans Experience Office, U.S. Department of Veterans Affairs  
Anil Tilbe, Director of Enterprise Measurements & Design, Veterans Experience Office, U.S. Department of Veterans Affairs 

June 24 | Day 3

Chair: Cynthia Burghard, Research Director, Value-Based IT Transformation Strategies, IDC Health Insights

The application of artificial intelligence to improve healthcare is a high priority for government, both because of the immense spending and services represented by healthcare, as well as the enormous opportunities to use AI to accomplish more efficient and better integrated care. Perspectives presented will include top-down policies and overarching strategies for major departments and agencies, as well as specific examples of smaller projects that can be implemented in collaboration with partners. It is critical to demonstrate the potential for democratization of AI for healthcare, and emphasize that even in smaller units that do not have huge budgets, there are excellent opportunities to apply AI relatively quickly and with positive impact in the short-term. Competitions and challenges, which solicit collaborative entries from numerous academic and commercial partners, are one of the ways of accelerating innovation and adoption in this field.

Panel: Competitions, Challenges, Crowdsourcing and Partnerships for AI Applications in Healthcare 

  • Diana Bartlett, Health Scientist, Centers for Disease Control and Prevention 

Talk Title to be Announced  
Ken Thomson, Director, IT Special Projects, Mass Health and Human Services 

Talk Title to be Announced
Charles Jaffe, MD, PhD, Chief Executive Officer, Health Level 7

Panel: Issues and Opportunities for AI in Biomedical Research  

  • Keyvan Farahani, PhD, Center for Biomedical Informatics & IT, National Cancer Institute 
  • Behrouz Shabestari, PhD, Acting Director, Division of Health Informatics Technologies, NIH
  • Jessica Mazerik, PhD, Special Assistant, Office of the Principal Deputy Director, NIH

Chair: Maureen Fleming, Program Vice President, Integration and Process Automation, IDC

Government agencies face unprecedented operating challenges as they manage mounting budget constraints while trying to become more agile, improve citizen experience and improve their overall process efficiencies. As agencies grapple with these challenges, automation becomes increasingly important -- especially when budget restrictions prevent agencies from hiring new employees while also needing to reduce or restrict use of contingent workers. Robotics Process Automation (RPA) in combination with AI create the basis for intelligently automating repetitive tasks. This takes the strain off manually intensive operations, improves the productivity and decision-making capabilities of an agency’s knowledge workers and protects agencies from losing critical skills as members of their workforce reach retirement.  Hear from thought leaders and agency experts who will discuss the current and evolving uses cases of intelligent automation and how this set of technologies will help resolve some of the burdens of scarce resources.


Overview of RPA and Intelligent Automation Market 
Maureen Fleming, Program Vice President, Integration and Process Automation, IDC 

Scaling Enterprise IT Capability through Enabling Citizen Developers
Kevin Tupper, Senior Cloud Solution Architect / AI Ambassador, Microsoft Corporation
Shawn Gorrell, Director and Principal Technology Architect, Federal Reserve Bank of Atlanta

Intelligent automation through low and no-code platforms help IT service providers scale their limited development resources and provide great business value to the enterprise.  Maturing tools allow for citizen development of intelligent, automated workloads by business area personnel, in partnership with IT. 
Join Kevin and Shawn as they define the playing field, demonstrate examples, discuss best practices and challenges, and explore how the Fed has approached the topic.

RPA: Rapid Adaptive Path 
Kent Craig, Program Analyst, Commerce, USPTO  
Government can adopt RPA rapidly and successfully by following an adaptive path that embraces knowledge and hands on experience from the beginning and then communicates, collaborates, and coordinates continuously. 

Chair: Holly Muscolino, Research Vice President, Content and Process Strategies and the Future of Work, IDC

As government agencies continue down the mandated path of AI adoption, fundamental questions revolve around ‘what applications should be deployed’ and ‘what new skillsets are required'? The growth and adoption of AI and intelligent automation solutions are giving rise to a new "digital worker" – automated technology that is rapidly changing the nature of the human workforce and related skillsets. At the same time, our consumer experiences are driving new sets of expectations for almost immediate (and intelligent) access to resources, anytime and anywhere. Members of our multi-generational workforce have differing workstyles that must be accommodated. And broader macroeconomic, geopolitical and environmental trends are also impacting the work environment.

Work transformation is about rethinking the way work gets done. It is a fundamental shift in the work model to one that fosters human-machine collaboration; enables new skills and worker experiences and supports an intelligent and dynamic environment un-bounded by time or physical space. This track will explore how work transformation impacts strategic government functions today and in the future.

Talk Title to be Announced 
Alion Science Executive

Panel: Work Transformation Best Practices 
Discussion of work transformation best practices in other industries and how they can be applied to government, including best practices for talent recruitment and retention. 
Moderator:  Amy Loomis, Research Director, Future of Work, IDC

  • Laura Furgione, Chief Administrative Officer, Department of Commerce, U.S. Census Bureau 

Workforce of the Future -- How Does the Digital Age Influence How We Recruit, Retain, and Develop Our Workforce? 
Jason M. Brown, Colonel, USAF; Director, CSAF Strategic Studies Group 

Culture: Transforming Work at the Intersection of Technology, Process, and People
Nina Bianchi, Director, Workforce Solutions, IT Modernization Center of Excellence, General Services Administration (GSA) 

AI and the Intelligent Digital Workspace: Drive Productivity and Improve Employee Experience 
Laura Victorino Murdock, GM of the AI Software Venture, Xerox’s Palo Alto Research Center (PARC)  
Work environments are often characterized by manual and repetitive operations, gritty organizational friction, endless context switching, and a lack of technology investments that have hobbled speed and agility. We now see new digital workspace solutions developed to meet these challenges. In addition to improved productivity, the modern digital workspace fosters a better employee experience, supporting talent acquisition and retention.