THURSDAY, OCTOBER 29 | 9:00 am - 12:00 pm

Conference Co-Chairs: Eliot Weinman, Founder and Conference Chair, AI World & AI World Government, Cambridge Innovation Institute
Ritu Jyoti, Program VP, AI Research, Global AI Research Lead, IDC 

9:00 am - 3:30 pm Virtual Exhibit Hall Open

9:00 am Conference Chair Introduction

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

Ritu Jyoti, Program VP, AI Research, Global AI Research Lead, IDC 

9:10 Keynote

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

9:35 Keynote

Susie Adams, Chief Technology Officer, Federal, Microsoft 

10:00 Keynote: The Past, Present, and Future of DOE’s Leadership in AI

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

A surprising powerhouse in the development and application of artificial intelligence, DOE and its 17 national labs have a proud history of advancing AI and ML technologies that goes back decades. Today, with more than 600 AI projects underway designed to strengthen our core missions of energy, cyber and national security, this talk will highlight a few of those examples and explore DOE’s promising future dedicated to realizing AI’s potential to change and save lives.

10:35 Coffee Break - View Our Virtual Exhibit Hall

10:50 Keynote

David Levy, Vice President, U.S. Government, Nonprofit and Healthcare Worldwide Public Sector, Amazon Web Services 

11:15 Keynote

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

11:40 Keynote

Brian Gattoni, Chief Technology Officer, Cybersecurity and Infrastructure Security Agency (CISA), Department of Homeland Security

12:00 pm Lunch Break - View Our Virtual Exhibit Hall - Visit with Keynotes in LIVE Q&A!

12:30 - 3:05 Afternoon Track Sessions: Track 1 |  Track 2 | Track 3

3:05 LIVE - IDC Panel Wrap up Visit with Speakers for LIVE End of Day Wrap up

Moderator: Ritu Jyoti, Program VP, AI Research, Global AI Research Lead, IDC

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 

3:30 Close of Day 2

FRIDAY, OCTOBER 30 | 9:00 AM - 12:00 PM

9:00 am - 2:45 pm Virtual Exhibit Hall Open

9:00 am Conference Chair Introduction

Ritu Jyoti, Program VP, AI Research, Global AI Research Lead, IDC 

9:10 Keynote: Moving Towards a 21st Century Workforce

Blair Duncan, Chief Human Capital Officer and Deputy Assistant Secretary for HR, U.S. Department of Health and Human Services, HHS Office of Human Resources

Bahar Niakan, Deputy Chief Human Capital Officer and Associate Deputy Assistant Secretary for HR U.S. Department of Health and Human Services, HHS Office of Human Resources

9:35 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. 

10:00 Keynote: Deploying and Managing Machine Learning Applications at Scale, Everywhere!

Glyn Bowden, CTO for HPE Pointnext Services, AI & Data Science Practice, Hewlett Packard Enterprise

Whilst training and building AI and Machine Learning solutions occurs mainly in the data center or on powerful workstations leveraged by the data scientists, the value of inference can be greatest in very different environments. A large percentage of machine learning inference happens at the edge, and this brings its own set of challenges. How do we deploy, monitor and manage remotely deployed models. How do we ensure they are getting the data they require in the time and format they need, and how do we leverage the results to drive valuable outcomes, immediately. We’ll be walking through some of the thought process and considerations around model management, data pipelining and operationalizing ML models, everywhere!

10:30 Coffee Break - View Our Virtual Exhibit Hall

10:50 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. 

11:15 Keynote: AI and the Physical World: Emerging Opportunities & Challenges

Manish Kothari, President, SRI International

Over the last few years, there has been a revolution in Cyber-Physical (CPS) such as smart grids, robotics and avionics. They have evolved from having fairly deterministic algorithms to quasi-static incorporation of artificial intelligence via cloud-deployed algorithms. In the latest iteration, many of the systems are now incorporating solutions that bring AI closer to the sensors and potentially to the same package. 

Regardless of the tremendous advances on the computation side, these systems still have significant constraints in their physical embodiments. These changes, therefore, require us to rethink design paradigms, reliability approaches and tests methodologies. This talk will identify the current trends and then delve into design considerations.

11:40 Keynote: IDC Chair Wrap up

Ritu Jyoti, Program VP, AI Research, Global AI Research Lead, IDC

12:00 pm Lunch Break - View Our Virtual Exhibit Hall - Visit with Keynotes in LIVE Q&A!

12:30 - 2:10 Afternoon Track Sessions: Track 4 |  Track 5 | Track 6

2:10 LIVE Closing Plenary Session: AI World Government Wrap up and Takeaways

Moderator: Ritu Jyoti, Program VP, AI Research, Global AI Research Lead, IDC

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 

2:45 Close of AI World Government 2020

 

THURSDAY, OCTOBER 29 | 12:30 PM - 3:05 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

12:30 pm Track Chair Opening Remarks

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

12:45 Presentation 

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

1:10 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. 

1:35 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
  • Steve Babitch, Head of Artificial Intelligence, U.S. Technology Transformation Services, General Services Administration (GSA)

2:00 Refresh Break - View Our Virtual Exhibit Hall

2:15 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 D. Williams, Vice Chair, Senior Executives Association

Panelists:

  • Elizabeth Varner, Women's Bar Association of DC, Co-Chair, 20+ Years of Experience; Adjunct Professor, Indiana University, Robert H. McKinney School of Law  
  • Valerie J. Pelton,  Advisory Board Member, The Behavioral International Economic Development Society 
  • Sakshi Mishra, Researcher, Energy Optimization and Analytics, National Renewable Energy Laboratory 
  • Keith Strier, Vice President, Worldwide AI Initiatives, NVIDIA  

2:40 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. 

3:05 LIVE - IDC Panel Wrap up Visit with Speakers for LIVE End of Day Wrap up

Moderator: Ritu Jyoti, Program VP, AI Research, Global AI Research Lead, IDC

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 

3:30 Close of Day 2

 

THURSDAY, OCTOBER 29 | 12:30 PM - 3:05 PM

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

12:30 pm Track Chair Opening Remarks

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

12:45 AI + Remote Sensing for Natural Disasters

Ritwik Gupta, Machine Learning Research Scientist and Technical Program Manager at Defense Innovation Unit (DoD) + Carnegie Mellon University Institute, Software Engineering Institute, Carnegie Mellon University, Software Engineering Institute

We can observe the world rapidly and in very high detail using remote sensing assets such as satellites, drones, and balloons. Using artificial intelligence, we can rapidly understand the world as it changes due to natural disasters. In this talk, we will cover what has been done in the past in this area, what we are currently doing to help, and what the government and public/private partners can do for the future to make an impact in this space.

1:10 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. During this session you will hear how Pamela strategized as executive technology leader and product owner of the First Five humanitarian assistance disaster response collaboration ensuring our first responders receive rapid, quality insights – saving time, saving lives. 

1:35 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.

2:00 Refresh Break - View Our Virtual Exhibit Hall

2:15 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: Dave McCarthy, Research Director, Edge Strategies, IDC

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
  • Mark Valentine, General Manager, National Security, Microsoft 
  • Ritwik Gupta, Machine Learning Research Scientist and Technical Program Manager at Defense Innovation Unit (DoD) + Carnegie Mellon University Institute, Software Engineering Institute, Carnegie Mellon University, Software Engineering Institute  

2:40 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 panel, we will discuss how human intelligence and AI can be mutually leveraged to produce optimal outcomes to problems ranging from natural language communication to battlefield technology. The vision outlines a path forward for emerging technologies that no longer aims to reinvent intelligence, but instead takes the best from human and artificial intelligence to increase chances for success. This approach would save money, time, and effort as the AI paradigm shift allows attention to move away from a comprehensive AI to a limited one that strategically relies on existing intelligent resources (i.e., humans).

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, PhD, Researcher, Computer & Information Sciences Directorate, US Army Research Laboratory  
  • Thom Hawkins, Project Officer - AI and Data Strategy, US Army PM Mission Command 

3:05 LIVE - IDC Panel Wrap up Visit with Speakers for LIVE End of Day Wrap up

Moderator: Ritu Jyoti, Program VP, AI Research, Global AI Research Lead, IDC

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 

3:30 Close of Day 2


THURSDAY, OCTOBER 29 | 12:30 PM - 2:10 PM

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.

12:30 pm Track Chair Opening Remarks

Shawn McCarthy, Research Director, IDC

12:45 Executive to be Announced

1:10 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. 

1:35 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. 

2:00 Refresh Break - View Our Virtual Exhibit Hall

2:15 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  
  • Zack Schwartz, Deputy Division Chief, U.S. Census Bureau  
  • Daniel Morgan, Assistant Chief Information Officer for Data Services & Chief Data Officer, US Department of Transportation 
  • DataRobot Executive

2:40 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.

3:05 LIVE - IDC Panel Wrap up Visit with Speakers for LIVE End of Day Wrap up

Moderator: Ritu Jyoti, Program VP, AI Research, Global AI Research Lead, IDC

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 

3:30 Close of Day 2

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

FRIDAY, OCTOBER 30 | 12:30 PM - 2:10 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.

12:30 pm Track Chair Opening Remarks

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

12:45 Panel: Leveraging Big Data and Analytics in Combatting Healthcare Fraud

Healthcare fraud results in billions of dollars in financial losses to public and private healthcare payers and taxpayers annually.  We will discuss the use of data analytics in identifying emerging trends, fraud, and measuring impact during this panel discussion.

Moderator: Neil D. Doherty, Director, Board of Directors, Senior Executives Association (SEA)

Panelists:

  • Gary Cantrell, Deputy Inspector General for Investigations, Department of Health and Human Services 
  • Aneta Andros, Analytics Director, Special Investigations Unit, Cigna 

1:10 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 

1:45 Machine Learning and Predictive Simulation: Fusing HPC-based Simulation and Experimentation to Move Science Forward Faster

Frederick Streitz, PhD, Chief Science Advisor, Artificial Intelligence & Technology Office, U.S. Department of Energy

The marriage of experimental science with simulation has been a fruitful one–the fusion of HPC-based simulation and experimentation moves science forward faster than either discipline alone, rapidly testing hypotheses and identifying promising directions for future research. The emergence of machine learning at scale promises to bring a new type of thinking into the mix, incorporating data analytics techniques alongside traditional HPC to accompany experiment.  I will discuss the convergence of machine learning, predictive simulation and experiment in the context of one element of the U.S. Cancer Moonshot– a multi-scale investigation of Ras biology on a realistic membrane.

2:10 LIVE - Closing Plenary Session: AI World Government Wrap up and Takeaways

Moderator: Ritu Jyoti, Program VP, AI Research, Global AI Research Lead, IDC

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 

2:45 Close of AI World Government 2020

 

FRIDAY, OCTOBER 30 | 12:30 PM - 2:10 PM

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.

12:30 pm Track Chair Opening Remarks

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

12:45 Overview of RPA and Intelligent Automation Market 

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

1:10 Scaling Enterprise IT Capability through Enabling Citizen Developers

David Yu, Data & AI Cloud Architect, Customer Success Unit, Microsoft

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 David and Shawn as they define the playing field, demonstrate examples, discuss best practices and challenges, and explore how the Fed has approached the top.

1:45 Talk Title to be Announced

Mitchell Winans, Special Assistant, Office of Procurement, U.S. Internal Revenue Service (IRS)   

2:10 LIVE - Closing Plenary Session: AI World Government Wrap up and Takeaways

Moderator: Ritu Jyoti, Program VP, AI Research, Global AI Research Lead, IDC

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 

2:45 Close of AI World Government 2020


FRIDAY, OCTOBER 30 | 12:30 PM - 2:10 PM

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


As government and private sector organizations navigate new ways of working in the COVID-19 era, they must negotiate adopting new AI technologies and new ways of working.  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. These digital workers have been critical to facilitating government programs.  Despite the disruption of many day to day services, consumer experiences are continuing to drive 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 health, 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.

12:30 pm Track Chair Opening Remarks

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

12:45 Executive to be Announced

1:10 Panel: Work Transformation in the COVID-19 era

Discussion of AI-enabled work transformation  best practices across industries and how they can be applied to government, including best practices for leadership, talent engagement and productivity. 

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

Panelists:

  • Laura Furgione, Chief Administrative Officer, Department of Commerce, U.S. Census Bureau 
  • Laura Victorino Murdock, VP & GM, AI Software New Ventures, Xerox’s Palo Alto Research Center (PARC )

1:45 Employee Experience: Machine Learning and People Learning

Nina Bianchi, Director, Workforce Solutions, IT Modernization Center of Excellence, Government Services Administration (GSA)

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.

2:10 LIVE - Closing Plenary Session: AI World Government Wrap up and Takeaways

Moderator: Ritu Jyoti, Program VP, AI Research, Global AI Research Lead, IDC

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 

2:45 Close of AI World Government 2020

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