NEW DATES | THURSDAY, OCTOBER 29 | 8:50 am - 12:50 pm

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, IDC Software Research

8:50 am Conference Chair Introduction

Eliot Weinman, Founder and Conference Chair, AI World & AI World Government, Cambridge Innovation Institute 

Scott Lundstrom, Group Vice President and General Manager, IDC Software Research

9:00 Keynote: Talk Title to be Announced

Lynne Parker, Deputy Chief Technology Officer, United States at White House Office of Science and Technology Policy 

9:20 Keynote: Talk Title to be Announced

Speaker to be Announced - Pending Approval

9:45 Keynote: Talk Title to be Announced

Susie Adams, Chief Technology Officer, Federal, Microsoft 

10:10 Keynote: Talk Title to be Announced

Gil Alterovitz, PhD, Director of Artificial Intelligence, US Dept of Veterans Affairs

10:35 Coffee Break in the Expo

11:00 Keynote: Talk Title to be Announced

Cheryl Ingstad, Director, Artificial Intelligence & Technology Office, U.S. Department of Energy 

11:25 Keynote: Talk Title to be Announced

Sandy Carter, Vice President of Public Sector Partners and Programs, AWS 

11:50 Keynote: AI and the Physical World: Emerging Opportunities & Challenges

Manish Kothari, President, Ventures, SRI International

12:20 Session Break

12:30 Luncheon Keynote: Talk Title to be Announced

Robert Ames, VMware, Senior Director, National Technology Strategy, VMware

12:50 Networking and Dessert in the Expo

1:30 - 5:10 Afternoon Track Sessions One, Two, and Three

5:10 - 6:30 Networking Reception in the Expo

6:15 - 7:45 Meetup Groups

7:45 Close of Day 2

NEW DATES | FRIDAY, OCTOBER 30 | 8:50 - 11:35 AM

8:50 Conference Chair Introduction

Scott Lundstrom, Group Vice President and General Manager, IDC Government and Health Insights

9:00 Keynote: Talk Title to be Announced

Anil Cheriyan, Director and Deputy Commissioner, General Services Administration (GSA)

9:25 Keynote: Talk Title to be Announced

9:50 Keynote: Transitioning AI from IT/Business Applications to Safety-Critical Applications in the Critical Infrastructure Sector of the National Airspace System?

Ronald Stroup, Chief Systems Engineer, Federal Aviation Administration, NAS Enterprise Planning & Analysis

This session will discuss how emergent operational concepts, business models and demand profiles may necessitate an AI-enabled infrastructure to disrupt the current operational impediments.  Mr. Stroup will present an executive level view of the National Airspace System (NAS), their future challenges, and why NAS is considering emerging technologies (AI) as a possible means to mitigate those challenges to provide better services to our NAS end-users. 

10:15 Coffee Break

10:35 Keynote: The Organizational Substrate of AI: Why an Inferential Mindset in a Complex Agency Just Doesn’t Happen

Ted Okada, CTO, FEMA

Time is everything when responding to and recovering from a disaster.  FEMA’s ability to quickly coordinate a federal response, providing help to disaster survivors, increasingly depends on decisions potentially augmented by AI.  But decision fatigue and entropy can erode confidence in a complex organization’s underlying systems while it faces disasters, leading to ineffective outcomes. How can the underlying technology infrastructure of an organization build trust and wise decision making under the relentless pressure and cognitive load of an unfolding event? This session will explore how FEMA is addressing that challenge. 

11:00 Keynote: Moving Towards a 21st Century Workforce

Blair Duncan, Deputy Assistant, Secretary for Human Resources 

Bahar Niakan, Deputy Chief Human Capital Officer & Director for Strategic Initiatives for the Department, United States Department of Health and Human Services 

11:35 Session Break (Enjoy Lunch on Your Own)

1:00 - 3:40 pm Afternoon Track Sessions Four, Five, and Six

3:40 Closing Plenary Session

Moderator: Scott Lundstrom, Group Vice President and General Manager, IDC Software Research

Panelists:

  • 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 
  • Amy Loomis, PhD, Research Director, Future of Work, IDC 

4:10 Close of AI World Government 2020


NEW DATES | THURSDAY, OCTOBER 29 | 1:30 PM - 5:10 PM

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

1:30 Track Chair Opening Remarks

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

1:45 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

2:10 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. 

2:35 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: Speaker to be Announced - Pending Approval

Panelists:

  • Caryl N. Brzymialkiewicz, PhD, Chief Data and Analytics Officer, Department of Health and Human Services, Office of Inspector General ‘pending approval’ 
  • Stephanie Shipp, PhD, Professor and Deputy Director, Biocomplexity Institute, Social & Decision Analytics Division, University of Virginia  

3:00 Refreshment Break in the Expo

3:45 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

Panelists:

  • 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  
  • Michael Fox, Senior Vice President, Product Management, Product, ElectrifAi 
  • Valerie J. Pelton, Co-Chair, International Committee, Women’s Bar Association of the District of Columbia

4:20 Creating a Culture of Innovation Around AI 

Bryan Lane, Director, Data & AI, Technology Transformation Service, General Services Administration (GSA) 

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. 

4:45 Designing Policies to Ensure Responsible and Ethical AI

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. 

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

Panelists:

  • Chuck Howell, Chief Scientist of Dependable AI, MITRE Corporation
  • Daniel Trusilo Doctoral Researcher, Department of International Affairs and Political Economy, University of St. Gallen, Switzerland

 

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

1:30 Track Chair Opening Remarks

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

1:45 Intelligent Solutions to Mission-Critical Problems 

Mike Halloran, Executive Director, ALEX Velocity 

The power of entity and relationship mapping, NLP, RPA, and other emerging technologies improves human fact-based decision making. There are many opportunities to employ these capabilities across the government leading to stronger national security, better situational awareness, and a more efficient workforce. Learn how emerging technologies are being used in real-world scenarios throughout the government and how future uses may impact the way our government functions and the way it does business. 

2:10 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.   

2:35 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.

3:00 Refreshment Break in the Expo

3:45 Panel: AI at the Edge & Emerging Technologies 

This panel will explore current state of technology, use cases, and limitations of AI at the edge.  
The topics to be covered will include; Models, how do the models vary in the different applications?  Are there characteristics that we need think about? Computing Architectures – transformation of computing architectures to support the kind of processing that AI requires has been a significant enabler to the innovations today.  Compute for centralized processing and compute for the edge are both necessary – where are the innovations, what needs to be solved? Edge versus cloud applications, unique problems, what’s really possible.

Moderator: Roberta (Bobbie) G. Stempfley, Director CERT Division, Software Engineering Institute, Carnegie Mellon University

Panelists:

  • Amy Henninger, PhD, Senior Advisor for Software and Cybersecurity, Office of the Director of Operational Test and Evaluation, Office of the Secretary of Defense 
  • Summer Craze Fowler, CIO, Argo AI  
  • Speaker to be Announced, pending approval
  • Microsoft Executive

4:20 Talk Title to be Announced

4:45 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, PhD, Research Psychologist, Computational & Information Sciences Directorate, Army Research Laboratory

Panelists:

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

5:10 - 6:30 Networking Reception in the Expo

6:15 - 7:45 Meetup Groups

7:45 Close of Day 2


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.

1:30 Track Chair Opening Remarks

Shawn McCarthy, Research Director, IDC

1:45 Talk Title to be Announced

EY Executive

2:10 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.   

2:35 Chartering the Course for the Defense Intelligence Enterprise in Artificial Intelligence

Brian Drake, Director of Artificial Intelligence, Department of Defense, Defense Intelligence Agency

Explore methods applied and UNCLASSIFIED results from DIA’s artificial intelligence strategy. Gain insight into lessons learned in crafting the strategy and what threats to the DIA’s mission objectives are addressable using AI/machine learning (ML). Understand adjustments to existing programs to confront those threats, and how to start new programs to provide warfighters with overwhelming decision advantage using AI/ML capabilities. 

3:00 Refreshment Break in the Expo

3:45 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

Panelists:

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

4:20 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. 

4:45 Optimization and On-line Adaptation of AI Methods for Edge Based Applications

Rakesh Kumar, PhD, Vice President, Information and Computing Science Division, Center for Vision Technologies, SRI International

There is increasing interest to deploy AI based methods for edge applications such as AR/VR, Robotics and IoT/IoE. However, edge platforms are often resource constrained in terms of energy storage, power, memory and computation.  We will discuss various methods to adapt AI models to fit into edge processors. The adaption could be done apriori or dynamically at algorithm, compiler or device level to balance on-line performance and resource use.

5:10 - 6:30 Networking Reception in the Expo

6:15 - 7:45 Meetup Groups

7:45 Close of Day 2

NEW DATES | FRIDAY, OCTOBER 30 | 1:00 PM - 3:40 PM

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.

1:00 Track Chair Opening Remarks

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

1:15 Talk Title to be Announced

1:40 Talk Title to be Announced

2:15 Refreshment Break

2:25 HHS BUYSMARTER – Leveraging AI for Enterprise Acquisitions

Kenneth Thomson, ReImagine HHS BuySmarter Solution Architect, Office of Acquisitions, (Contractor)

The BUYSMARTER team is in the final phase of developing an AI capability known as the ‘Full Contract Scan Tool’ (FCS Tool) for the Medical Category. It ingested 1.37 million documents comprising of 4.6 billion words with the taxonomy built from the primary category (Product, Equipment, and Service) down to the sixth sub-category level. Using Natural Language Processing (NLP) and Machine Learning (ML), the team developed an ‘Inference Protocol’ that allows the AI tool to ‘read’ in a human way and make logical inferences when matching words and phrases.  This tool will deliver complete mastery of all of the potential ‘negotiation variables’ that will make HHS smarter buyers than our vendors are sellers, thus driving the best value for HHS missions to deliver their missions.

2:50 The Potential of FHIR for Improved Data Sharing: a Key Foundation for Applications of AI in Healthcare

Charles Jaffe, MD, PhD, Chief Executive Officer, Health Level 7

Over the past several years there has been a significant increase in the share of patient records stored electronically. Variations in the major EMR systems, the challenges of secure permissions and other factors have made secure exchange of sensitive information, particularly at scale, quite difficult. FHIR effectively addresses these issues, and facilitates data sharing to permit access from small cohorts to enormous datasets. This capability is foundational for the wider application of AI to healthcare issues, and will help provide much better access to shared healthcare datasets. Prospects for the future, ongoing challenges and promising opportunities will also be discussed.

3:15 Panel: Issues and Opportunities for AI in Biomedical Research

AI and machine learning are increasingly having a major impact on biomedical research, as high throughput data generation leads to larger and more multi-parameter data sets. Whether it is interpretation of digital imaging, large sets of genomic and other biomarkers, or extraction of patterns from unstructured patient information, AI is becoming indispensable for identifying useful trends and patterns for advancing biomedical research. Examples of powerful advances and remaining challenges for information sharing and interpretation will be discussed.

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

Panelists:

  • Keyvan Farahani, PhD, Program Director, Center for Biomedical Informatics and Information Technology, National Cancer Institute, National Institutes of Health 
  • Jessica Mazerik, PhD, Program Director for Data Science Workforce Development, Office of Data Science Strategy, National Institutes of Health 
  • Qi Duan, PhD, Program Director, Division of Health Informatics Technologies (DHIT), National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health 

4:10 Close of AI World Government 2020

 

 

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.

1:00 Track Chair Opening Remarks

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

1:15 Talk Title to be Announced

1:40 Overview of RPA and Intelligent Automation Market 

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

2:15 Refreshment Break 

2:25 Case Study: Talk Title to be Announced

2:50 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. 

3:15 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, collaborages, and coordinates continuously.

4:10 Close of AI World Government 2020


Chair: Amy Loomis, PhD, Research Director, 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.

1:00 Track Chair Opening Remarks

Amy Loomis, PhD, Research Director, Future of Work, IDC

1:15 Building the AI Powered Enterprise 

Todd Borkey, Chief Technology Officer, Alion Science and Technology

As the impact of AI spreads across the Nation’s Defense, government organizations and contractors will need to transform. To deploy, control, and win with new AI technology, we present our observations about the transformation. Business models, processes, infrastructure, workforce, and culture will all require evolution. The confluence of cloud computing, IoT-5G, and readily available AI tools, is accelerating AI implementation. The stakes are high, and change needs to happen quickly.

1:40 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, PhD, Research Director, Future of Work, IDC

Panelists:

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

2:15 Refreshment Break

2:25 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 

Artificial intelligence and other emerging technologies are providing commercial and mission-driven organizations a significant competitive advantage. However, many organizations face challenges in acquiring and developing a digitally literate workforce that can take advantage of these technologies.  Colonel Brown will discuss ways the U.S. is attempting to cultivate digital talent—from the flight line to the four-star general—in order to fully leverage software, data, and emerging technology at scale.   

2:50 Employee Experience: Machine Learning and People Learning

Speaker to be Announced - Pending Approval

To maximize usability of technological advances like AI, our nation must urgently adopt an elastic culture of lifelong learning and growth mindsets to thrive in evolving workplace roles. Our nation’s economy, health, and safety depend on it. How do we create a more agile culture? Imagine a future where all employees, from the frontlines to C-suite, take pride in being collaborative, insightful, and efficient.

3:15 Using AI to Improve the Work Experience for the Knowledge Worker 

Laura Victorino Murdock, GM of the AI Software Venture, Xerox’s Palo Alto Research Center (PARC) 

When people think of AI being used in businesses, they often think of it being used to automate repeated and predictable “back of house” tasks in an effort to reduce labor. Instead of using AI to replace people, there is now an increased focus on human-machine collaboration, with AI being used to augment people and help them do more complex knowledge work more effectively. At PARC, we are working on applications of AI that help knowledge workers accomplish routine and time-consuming tasks, such as business document creation, so they can focus on higher value work. Providing knowledge workers with powerful AI tools will allow them to be more efficient and effective while improving their day-to-day work experience.  

4:10 Close of AI World Government 2020

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