2019 Plenary Speakers and Tracks

Tuesday, June 25, 2019 | 8:50 am – 12:40 pm

Atrium Ballroom B

7:45 am - 6:30 pm
Registration Open

7:45 Morning Coffee & Pastries

8:50 Conference Chair Introduction

Scott Lundstrom, Group Vice President and General Manager, IDC and AI World Government, Conference Co-Chair

9:00 Keynote: Open Data and AI Drive Digital Transformation in Government

Scott Lundstrom, Group Vice President and General Manager, IDC and AI World Government, Conference Co-Chair


Artificial Intelligence is poised to transform every aspect of government over the next decade. Every individual in the transformed organization will be impacted by AI’s ability to inform, augment, and automate decision making - and is just the beginning! Understanding the opportunity for new services and new models for citizen engagement will change the way we look at technology’s role in government. AI technologies bring threats and opportunities that must be managed to every organization, and new policies and guidelines will be required to harness these advances.

In this presentation, Scott Lundstrom, IDC Group Vice President and General Manager, will set the stage by sharing IDC’s Artificial Intelligence Framework, IDC’s “use cases” for Government Digital Transformation, and IDC’s Artificial Intelligence predictions that will impact government IT professionals over the next five years.

9:20 Keynote: AI Update from the White House

Suzette Kent, Federal Chief Information Officer, U.S. Office of Management and Budget

9:45 Plenary Roundtable: Getting Started and Moving Forward – Advice for the next 24 months

Join us for this fast paced panel focused on managing the complexity and turbulence of this quickly evolving market.  AI Technology, regulations, and policy objectives are all in flux, and making a meaningful start in your use of AI can be challenging.  Gain perspective on priorities and strategies to being successful and building competences that matter in this next generation of software.  

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


William Mark, PhD, President, Information and Computing Sciences, SRI

Anthony Scriffignano, PhD, Senior Vice President & Chief Data Scientist, Dun & Bradstreet




10:15 Plenary Roundtable: The Role of Data in AI, the Intersection Between Physical and Digital Data, Security, Ethics and Privacy

Seseri_RudinaModerator: Rudina Seseri, Founder and Managing Partner, Glasswing Ventures

Davis_KevinPanelists: Kevin Davis, CSO, Armored Things 

Hazel_ThomasThomas Hazel, Founder, CTO, and Chief Scientist, CHAOSSEARCH 

Noble_PaulPaul Noble, Founder, CEO, Verusen

10:40 Coffee Break in the Exhibit Hall  (Atrium)

11:15 Keynote: Towards Explainable and Trustable AI

Minhas_RajRaj Minhas, PhD, Vice President, Director of Interaction and Analytics Laboratory, PARC 


Deep learning AI models are opaque and can institutionalize biases and errors. We are building models that are transparent and make it much easier to spot (and remove) biases in the training data. Such technological advances are necessary but not sufficient. So, we are developing an AI institutional review board (IRB) to review the data collection and modeling methods to ensure that they are ethical.

11:45 Plenary Roundtable: Connecting the Nation’s Healthcare Data

Moderator: Mona Siddiqui, MD, Chief Data Officer, U.S. Department of Health & Human Services

Braun_PaulaPanelists: Paula Braun, Entrepreneur-in-Residence, Health and Human Services, Centers for Disease Control and Prevention 

Bari_LisaLisa Bari, Senior Technical Advisor, Value-Based Transformation Initiative, U.S. Department of Health and Human Services 

Finne_KristenKristen Finne, Director, HHS emPOWER Program and Senior Program Analyst, US Department of Health and Human Services, Office of the Assistant Secretary for Preparedness and Response, Office of Emergency Management and Medical Operations

Oelschlaeger_AllisonAllison Oelschlaeger, Director & CMS Chief Data Officer, Centers for Medicare & Medicaid Services 


Dr. Siddiqui will discuss the implementation of HHS’s enterprise data strategy focused on leveraging data for decision making. She will also address the Department’s approach to the development of an AI strategy and the elements of institutional capacity building required to fully utilize its data assets.


12:10 Lunch Break

12:20 Luncheon Keynote: Unlocking the Value of AI/ML – a VMware Perspective

Ames_RobertRobert Ames, Senior Director, National Technology Strategy, VMware Research, VMware


Artificial intelligence (AI) and machine learning (ML) offers tremendous opportunities for many organizations, but advancing its use from experimentation to production deployment requires powerful, resilient, and adaptive IT infrastructure to support the entire AI/ML pipeline. Mr Ames will describe how AI/ML techniques can be used to deliver on the vision of a high-scale resilient, and secure self-driving data center.

12:40 Dessert and Refreshment in the Exhibit Hall  (Atrium)

Wednesday, June 26, 2019 | 8:50 am – 12:10 pm

Atrium Ballroom B

7:45 am - 3:00 pm
Registration Open

7:45 am Morning Coffee

8:50 Conference Chair Introduction

Scott Lundstrom, Group Vice President and General Manager, IDC and AI World Government, Conference Co-Chair

Kanaan_Mike9:00 Keynote: Putting the “AI” in Air Force: Pragmatic Principles for the Future

Captain Michael Kanaan, Co-Chair for Artificial Intelligence, U.S. Air Force 


Those at the forefront of using AI applications to accomplish their personal and organizational pursuits will enjoy significant new opportunities and advantages, including control of tools that analyze more information and prescribe more strategies than ever before. Along the way, however, there will be costs. Some will be unexpected and some will be significant, particularly for those who lag behind. In the age of AI, second place will be of ever-diminishing value. Hear about the Air Force’s path forward and lessons learned for organizations also moving along the way.

9:30 Keynote: Infrastructural Components to Enable AI and Machine Learning at NASA 

Brian Thomas, PhD, Agency Data Scientist and Program Manager for Open Innovation, NASA


With decades of project and mission data at NASA, the job of managing the data and keeping it accessible is outpacing the capacity of its personnel. Current IT infrastructure is inadequate to tackle many important problems at NASA that require artificial intelligence and machine learning. This keynote provides insight into the desirable infrastructural components to enable these solutions. 

10:00 Keynote: The Next Breakthrough In Government Systems: A Software Ecosystem Powering High- Performing Governments using Artificial Intelligence

Paola M. Santana, Founder & CEO, Social Glass


Governments are the biggest decision-makers in the world, determining the way we live and thrive. One of the most powerful ways governments make decisions is by spending funds in the initiatives they want to see happen — and this, called public procurement — is a $12 trillion dollar global, outdated and inaccessible industry, requiring a new technological infrastructure for modern governance. A software ecosystem using AI to digitize, streamline and scale good processes and decision-making, starting with procurement, could lead the way.

10:30 Coffee Break  (Atrium Ballroom Foyer)


10:50 Plenary Roundtable: Building Public/Private Coalitions to Promote Shared Approaches to AI Governance, Big Data & Ethics 

Our exponential era is creating ripple effects that impact how we co-exist as communities and societies regarding AI Governance, Big Data, and Ethics. Some experts are concerned about what they call “surveillance capitalism” and others are concerned that open societies cannot survive waves of misinformation and disinformation.   

A coalition needs to come together from across sectors (public and private) and nations to advance a shared approach to AI Governance, Big Data, and Ethics.  This coalition should be an influential voice when open, pluralistic societies head into the exponential era ahead. 

Moderator: Bill Valdez, President, Senior Executives Association

Furgione_LauraPanelist: Laura Furgione, Chief, Program, Performance and Stateholder Integration, Department of Commerce, Census Bureau




Williams_MargaretMargaret Williams, Learning Policy and Program Support (TL), Human Resources, U.S. Postal Service

Mattingly-Jordan_Sara11:35 Keynote: The Sublime Uses of AI in the Public Sector

Sara Mattingly-Jordan, PhD, IEEE Global Initiative for Ethical AI, Assistant Professor Center for Public Administration & Policy Virginia Tech


Does the public sector have a special obligation to get AI ethics “right”? How would we, in the public sector, know that we had “gotten it right”? Calls for someone, anyone it seems, to intervene on the consequences of the uses of AI has led to a burgeoning pile of books, reports, articles, listicles, and value statements. Many of these reports imply that the uses of AI by governments is somehow different than the uses of AI by private actors. Wrapping our policies around the challenge of developing and deploying ethical AI in the public sector requires wrapping our heads around the sublime nature of AI. To do this means we need a vocabulary to describe the enormity of AI and its effects. This brief talk outlines the resources to build and use just such a vocabulary.

12:10 pm Enjoy Lunch on Your Own

3:30 Closing Plenary Session: Looking to Future in AI in Government 

Conference attendees and speakers from AI World Government gather together at this closing plenary session to look at what we’ve learned over the week. Strategic recommendations from industry research firm IDC summarize the challenges and opportunities that lie ahead for public sector agencies in their quest to accelerate the use of artificial intelligence to help address agency missions. 

Moderator: Scott Lundstrom, Group Vice President and General Manager, IDC and AI World Government, Conference Co-Chair

McCarthy_ShawnPanelists: Shawn McCarthy, Research Director, IDC Government Insights, IDC 

OBrien_AdelaideAdelaide O’Brien, Research Director, Government Insights, IDC

Savoie_Curt Curt Savoie, Research Director – Smart Cities, IDC


Tuesday, June 25, 2019 | 1:30 - 5:00 pm

Track Chair: Shawn MccarthyShawn McCarthy, Research Director, IDC Government Insights

Track Description: Agencies have been accumulating data for many years. However, organizations also realize they have not gained many benefits from the datasets. Along with an increase in unstructured data, there has also been a rise in the number of data formats. Administrative data, such as notes and articles, as the primary data type have expanded to include images, audio, video, and sensors.

Many organizations fail to consider how quickly a big data project scales. Constantly pausing a project to add additional resources cuts into time for data analysis. Assessing what data exists and its integrity – completeness, accuracy, bias and trust – prolong the analysis effort. This challenge is further compounded by integrating disparate data sources and securing big data.

This track addresses the major challenges faced by Big Data environments with an emphasis on identifying what data you have, how to source additional data, how to organize it, how to clean it, how to prepare the data for use in a machine learning application, and ultimately, how to integrate and scale the application into the Agency’s IT systems.

Atrium Ballroom A

Track Chair Opening Remarks

Shawn McCarthy, Research Director, IDC Government Insights

1:35 pm Panel: Getting Your Data Ready for AI

The basic challenge of working with data is understanding what you have and what you need. From auditing your data to cleaning and labeling it, preparing your data for quality, relevance, and trust is the most important step you will undertake in your Big Data + AI journey. This panel highlights the importance of identifying the agency objectives, creating a strategy for capturing, structuring, and maintaining data, and steps to monitor and govern data performance. 

Iyer_SukumarModerator: Sukumar R. Iyer,CEO, Brillient and Chair of Intelligent Automation Working Group, ACT-IAC


Jeff Butler, Director of Data Management, IRS

Devaney_ChrisChris Devaney, Chief Operating Officer Executive - Business Operations, DataRobot

Ruderman_LoriLori Ruderman, Senior Advisor, US Department of Health and Human Services, HHS ReImagine BuySmarter 

Michael Conlin, Chief Data Officer, U.S. Department of Defense 

Preble-Edward2:30 Finding Early Success with Intelligent Automation and Big Data

Edward Preble, PhD, Research Data Scientist, Center for Data Science, RTI International


This presentation will discuss what works, and what doesn't, in AI related projects. AI-driven use cases for the Bureau of Justice Statistics (BJS) and the National Center for Health Statistics (NCHS) will be presented along with specifics for how to evaluate projects for AI-readiness, how to pick the right problems to focus on, and how to begin with small projects that then grow into real-world success stories.

3:00 Refreshment Break in the Exhibit Hall  (Atrium)

3:30 Government Data Center Analytics 

Shawn McCarthy, Research Director, IDC Government Insights


Shawn will provide a presentation on the state of AI as it applies to Data Center Infrastructure Management, and how that can be used to leverage agencies compliance with the requirements of the federal Data Center Optimization Initiative. The focus of AI in government data centers is on improving energy consumption, network traffic, processor and virtual machine load balancing, and more.

4:15 A Framework for Automating Data Acquisition and Operationalization


Tilbe_AnilAnil Tilbe, Director of Enterprise Measurements & Design, Veterans Experience Office, U.S. Department of Veterans Affairs




Becker_LeeLee Becker, Chief of Staff, Veterans Experience Office, U.S. Department of Veterans Affairs




5:00 Networking Reception in the Exhibit Hall  (Atrium)

6:00 Meetup Groups

7:30 Close of Day


tuesday, June 25, 2019 | 1:30 - 5:00 pm

Atrium Ballroom B


Track Chair: Adelaide ObrienAdelaide C. O'Brien, Research Director, Government Insights, IDC


Track Description: In evaluating the potential applications for intelligent automation, fundamental questions revolve around “How do I get started in Artificial Intelligence and what are the best applications where AI can and should be deployed?” In many cases, the answers have less to do with technology choices and more to do with evolving the organization’s culture and mindset. As processes transition from Business Intelligence and Performance Management to AI- and data-driven strategic roles and functions, agencies and departments will face common opportunities to refine the future of work.

This track looks at alternatives to building Data Science teams and strategies for enabling a data-driven workforce.

 From Artificial to Real: Examples and Stories About AI Making a Difference in the Public Sector Around the World

Bennett_SteveSteve Bennett, Director, Global Government Practice, SAS, Former Director of the U.S. National Biosurveillance Integration Center in the Department of Homeland Security 


Traditional approaches to gleaning insights from data are no longer sufficient given the volume, velocity and variety that modern governments must manage. It is becoming increasingly critical for governments to find new ways to transform data into actionable information – new ways that include techniques like artificial intelligence (AI) and machine learning.  

In this session, we will briefly review government domain areas with the largest potential for benefit from AI, and then spend most of our time talking about stories from around the world in which these techniques have made a difference in the public sector. 


Lofdahl_Corey2:00 Bridging Policy and the Mission with Computer-Based Models

Corey Lofdahl, PhD, Principal Engineer, Systems & Technology Research (STR)


Academic researchers have for decades investigated how computers and Artificial Intelligence (AI) can help address complex government policy problems, but few of these efforts have paid off or proven workable. This talk covers the key policy problems faced by senior decision makers, the early promise of AI, why AI research has been slow to transition to real-world applications, and how an increased appreciation of human factors supports that transition. 

Sheppard_Lindsey2:30 Personnel, Supply Chain & Logistics

Lindsey Sheppard, Associate Fellow, International Security Program, Center for Strategic & International Studies (CSIS)


Explore the common challenges and opportunities faced in these public sector roles and functions. If we are a nation where we are doing better by our people, how can government personnel be empowered to create more efficient processes supported by data? This talk examines the organizational challenges to implementing data-driven projects in Personnel, Supply Chain & Logistics.

3:00 Refreshment Break in the Exhibit Hall  (Atrium)

3:30 Automatically Extracting Meaning from Government Documents

Strong_StephenStephen Strong, Sr. Lead Technologist, Booz Allen Hamilton 

Boujakjian HaroutHarout Boujakjian, Data Scientist, Booz Allen Hamilton


This presentation will describe and show new online tools in the current phase of a long-range project in argument mining (extracting reasoning patterns from governmental documents). These tools extract meaningful spans of text from decisions of the Board of Veterans’ Appeals, which are the same spans of text that a lawyer would want to read from those decisions. Such extracted spans are useful components for summarizing past decisions, for making the decision process more efficient, or for suggesting arguments in new cases. These tools and methodologies are applicable to any legal area and to any claims process, as well as to any area requiring regulatory compliance. 

4:15 Panel: Intelligent Automation and AI at NASA

In the latest NSF Statement on AI for American Industry, "The effects of AI will be profound. To stay competitive, all companies will, to some extent, have to become AI companies." Compared to both industry and academia, NASA and its research sites have specific challenges as well as resources that are particularly adapted to the use of AI. They have a wealth of data and information to leverage and "learn" from. And many science- and mission-oriented applications have been identified that can benefit from learning on previous data and from domain and expert knowledge. This panel of representatives from multiple NASA research centers share how intelligent automation and AI is advising mission planning and operations, discovering correlations in large amounts of science data, and enabling new tools and intelligent user interfaces to improve outcomes. 

Moderator: Jeff Orr, AI World Content Director and AI Trends Editor, Cambridge Innovation Institute


Crichton_DanielDaniel Crichton, Program Manager, Principal Investigator, and Principal Computer Scientist, NASA's Jet Propulsion Laboratory

Oza_NikunjNikunj Oza, PhD, Leader of the Data Sciences Group, NASA Ames Research Center

Thompson_BarbaraBarbara Thompson, PhD, Solar Physicist, Lead of the Center for HelioAnalytics, NASA Goddard Space Flight Center

5:00 Networking Reception in the Exhibit Hall  (Atrium)

6:00 Meetup Groups

7:30 Close of Day


Tuesday, June 25, 2019 | 1:30 - 5:00 pm

Oceanic AB

Savoie_Curt Track Chair: Curt Savoie, Program Manager, Global Smart Cities Strategies, IDC


Track Description: To achieve the title of Smart City, municipalities must enhance existing services, while at the same time innovate and deploy new applications and capabilities. For existing services, organizations are utilizing predictive models to gain operational efficiency, such as using data to enhance asset location. Big data is also aiding in the delivery of a better user experience (UX). Artificial intelligence can also be applied in a host of other specific areas, such as the preparation for autonomous vehicles and smart mobility systems, as well as planning and regulating of new service delivery.

This track examines the design and governance of the Smart City utilizing data and intelligent automation. Focus is given to three specific aspects of the Smart City: digital government and citizen services, transportation, and public safety.

 AI and the Future of Cities

Savoie_Curt Curt Savoie, Program Manager – Global Smart Cities Strategies, IDC

2:00 pm Delivering Effective Citizen Services

Nguyen_ThanhThanh Van Nguyen, Minister of Public Security Ministry, Former Governor of Hai Phong, Vietnam 


The world’s population is growing and become more in need of public services. Our current treatment model will not be sustainable in the future. As AI and other technologies are emerging – could this be used preventively and make public servants guide our citizens well before they even know they’ll need it? 

2:30 Panel: Identifying Targeted Public Safety Applications for Your AI Digital Transformation


Public safety agencies globally are leveraging AI in their day-to-day operations to work faster, smarter, and to redress some of the additional difficulties being created by the digital deluge. This panel explores some best practice examples of agencies on the cutting edge of AI and ML implementations, as well as discusses how to deploy AI responsibly. This is critical to meeting citizen expectations about police capabilities, as well as help with information sharing endeavors, and rebuilding trust in an era that has witnessed the decline of public confidence in law enforcement agencies. Attendees will learn: 

  • What are the obvious and less obvious ways in which AI can fundamentally transform data-driven public safety? 
  • What are some of the lesser known implementation inhibitors for law enforcement agencies? 
  • What are best practices recommendations from mature AI agencies and organizations? 

Brooks_AlisonModerator: Alison Brooks, PhD, Research Vice President, Smart Cities and Communities – Public Safety, IDC


Brown_Rich Rich Brown, Director, Project VIC International

Spitzer-Williams_NoahNoah Spitzer-Williams, Principal Product Manager, Redaction AI and Transcription AI, Axon Technologies

3:00 Refreshment Break in the Exhibit Hall  (Atrium)

3:30 Panel: Strategies for Developing AI-Based Applications & Services for Transportation

As autonomous vehicles come closer to closer to reality in cities and on the nation’s roadways, the decision-making around AI can have significant impacts for government, not only for road safety and traffic management but for urban society at large. This panel session presents various strategies and perspectives on the topic from an auto OEM to that of a city to capture the progress and thinking on AI decision-making in cars, and where the dialogue stands today between industry and government

Zannoni_MarkModerator: Mark Zannoni, Research Director, Smart Cities & Transportation, IDC


Ted Boll, Sr. Advisor for Economic Policy, Office of the Secretary, Research and Technology, U.S. Department of Transportation

Ricks_KarinaKarina Ricks, Director of Mobility and Infrastructure, City of Pittsburgh 

Jeff Marootian, Director, District Department of Transportation  

4:15 Panel: AI in Smart Cities, Campuses, and Communities

From public safety to resilience and environmental monitoring, to population health and the government consumer experience, there are many uses cases for AI in smart ecosystems and communities. This panel will explore government services that rely heavily on large amounts of data and that could be transformed via AI and automation. Thie discussion will focus not only on the transformative effect of AI, but the necessary short and medium terms steps needed to develop effective AI platforms. This is especially important when looking at services that often transcend municipal boundaries and require the participation of many agencies, community groups, and private sector stakeholders. Takeaways for attendees include:

  • What services and programs can be transformed by AI and automation to deliver key outcomes for public health and safety? 
  • What must be in place now to develop these services in the future? What do government organizations need to put in place around data architecture, IT policies, and IT infrastructure to enable AI?
  • What are best practices for how groups of stakeholders can effectively work together to work on large-scale challenges? 


Ruthbea ClarkeModerator: Ruthbea Clarke, Vice President IDC Government Insights, IDC

Savoie_CurtPanelists: Curt Savoie, Program Manager – Global Smart Cities Strategies, IDC

Kim Nelson, Executive Director, State and Local Government Solutions, Microsoft  

Jennifer Robinson, Director of Local Government Solutions, SAS 



Wines LindsayLindsay Wines, Chief of Staff, City of Baltimore

5:00 Networking Reception in the Exhibit Hall  (Atrium)

6:00 Meetup Groups

7:30 Close of Day


wednesday, June 26, 2019 | 1:15 - 4:00 pm

Atrium Ballroom A

Track Chair: 
Kathleen Walch, Managing Partner, Principal Analyst, Cognilytica 


Track Description: Once the initial Big Data challenges have been overcome, what does an organization do with the data? How can it use AI to accelerate digital transformation strategies? Having more data doesn’t necessarily lead to actionable insights. A key challenge for data science teams is to identify a clear objective and determine the most impactful questions. Once key patterns have been identified, agencies must also be prepared to act and make necessary changes in order to demonstrate value from them.

This track explores the delivery of services and applications powered by learning systems.

Carroll_Mark1:15 pm The Evolution of a Unified AI Approach to Data Science at NASA GSFC

Mark Carroll, PhD, Research Scientist, Computer and Information Science and Technology Office, NASA


Data holdings at NASA are growing at a geometric rate.  Traditional methods of analyzing these data are insufficient to produce answers in a reasonable time frame.  Scientists have turned to machine learning and Artificial Intelligence methods to facilitate the analysis of the large volumes of data.  Here we present several of these projects and outline our plan to develop a unified approach to data science that incorporates AI. 

1:40 Panel: Adoption, Best Practices, and Successful Deployment of Process Automation

The federal government is facing unprecedented operating challenges as they manage mounting budget constraints while trying to be more agile to increase mission objectives. Unable, in many cases, to hire more employees, federal agencies are forced to spend dollars on contractor support or shift resources away from mission-critical work to handle routine, manual tasks. Robotic process automation (RPA) provides federal agencies the capability to operate more efficiently with reduced resources. Hear from government thought leaders and subject matter experts who will discuss their adoption, best practices, and successful deployment of RPA.

Kashyap_KompellaModerator: Kashyap Kompella, CFA, CEO and Chief Analyst, rpa2ai  





Panelists: Jeff Marootian, Director, District Department of Transportation

Attila_BerkeBerke Attila, Chief Financial Officer - Department of General Services, City of Baltimore 

2:15 Networking Break  (Atrium Ballroom Foyer)

2:25 DoD AI Applications at the Joint Artificial Intelligence Center (JAIC)

The DoD Joint Artificial Intelligence Center was established in 2018 to accelerate DoD’s adoption and integration of AI to achieve mission impact at scale. Since then, the JAIC has taken a holistic approach to operationally preparing the Department for the strategic advantages that a human-centered AI capability will bring to all functions – from business to the battlefield.

Moderator: Will Roberts, JIAC, Acquisitions Chief, Department of Defense, Joint Artificial Intelligence Center





Beall_MarkPanelists: Mark Beall, Chief of Strategic Engagement and Policy, Joint Artificial Intelligence Center's (JAIC)


Tadross_DanielMaj Daniel Tadross, Predictive Maintenance, Joint Artificial Intelligence Center's (JAIC)




Sung-Woo Cho3:00 Planning for Desired Outcomes with Recommender Systems

Sung-Woo Cho, PhD, Senior Associate/Scientist, Social and Economic Policy, Abt Associates


The abundant data that are regularly collected from federal agencies are ripe for the application of artificial intelligence, provided that they are collected in a secure manner with the benefit of service recipients as the sole reason for these solutions. Predictive analytics and recommender systems can provide these agencies with the necessary tools to help guide their service recipient clients towards optimal outcomes, by leveraging structured and unstructured data alike.

4:00 Close of AI World Government 2019


Wednesday, June 26, 2019 | 1:15 - 4:00 pm

Atrium Ballroom B

Track Chair:
Jeff OrrJeff Orr, AI World Conference Content Director and AI Trends Editor, Cambridge Innovation Institute


Track Description: Despite the recent interest in using algorithmic models for data analysis and insight, the underlying methodologies and protocols have been proven for decades. Researchers are experimenting with new ideas that leverage these time-tested frameworks.

This track provides attendees with a roadmap for the evolution of AI technologies in the next few years. How will trust and explainability be resolved by the industry to become integral components of future machine learning solutions? Which emerging AI solutions and technologies will be evolving out of research labs in the near term, enabling new classes of productive applications? What will the next generation of AI-optimized hardware look like? What can we expect from the next generation of biometric technologies?

1:15 pm Explainable AI: The Need for Transparency and Auditability of “Black Box” Systems

Dimitry FisherDimitry Fisher, Chief AI Officer, Analytics Ventures/Dynam.AI 

Organizations and end-users need a way to explain why the AI made a prediction. Government watchdogs and regulators are reluctant to embrace intelligent systems without some explanation of how the data input generated the machine output. This talk further explores the need to audit and report on decision-making and why human interpretable explanations are necessary for multiple audiences. 

  • Discuss what is meant by explainable AI and what is it that agencies and regulators want to know about predictions 
  • Understand the trade-off between AI transparency and performance along with the implications for intellectual property 
  • What is the current state of the technology in delivering truly explainable AI systems? 
  • As narrow AI implementation scales to address complex business judgments and Artificial General Intelligence (AGI), does the demand for explainable AI increase? 

1:40 Panel: Implementing Advanced AI Technologies

Machine learning (ML) is currently viewed as a single tool. However, ML is not a static environment. Researchers have already developed advanced technology to evolve ML to process larger amounts of data even faster. Some developers, for example, are examining how ML can incorporate blockchain for safety and security within the ML model. ML in its various forms are being integrated into and with other highly advanced intelligent systems such as NLP, image processing, etc. for multitudes of applications. This panel of AI and data science researchers is pushing the bleeding edge of emerging technology and identifying the future of ML.

Moderator: Ola Olude-Afolabi, PhD, Adjunct Prof., Morgan State University


Mascho_BradBrad Mascho, Chief Artificial Intelligence Officer, NCI Information Systems, Inc.

Jackson_JesusJesus Jackson, Senior Director & Head, eGT Labs

2:15 Networking Break  (Atrium Ballroom Foyer)

2:25 Application Concepts for AI at the Edge

Antigone PeytonAntigone Peyton, JD, Chair, Intellectual Property and Technology Law Group, Protorae Law PLLC


As organizations develop a deeper understanding of how AI might be used to support their missions, they must also confront challenges regarding deployment of intelligence in equipment and devices at the edge of networks or connected through the Internet of Things. This talk will share design considerations for “skinny AI,” use cases ranging from smart cities to field deployment, practical pointers relating to security, anonymity, and system trust, and edge AI training trends. 

3:00 Hardware's New Frontier: Non Deterministic Analog Super Turing Machines

Wood_LarsLars Wood, CEO & Co-Founder, Analog Computation Corp


Current machine learning is restricted to computable numbers, which limits their application to solving narrowly defined solutions with inherent bias and the tendency to completely forget previously learned information upon learning new information. Non deterministic super Turing machines solve problems like biological brain networks with uncomputable real numbers. This talk provides an overview of the history of super Turing machines, their first proof of principle, and how to design and build machine learning systems that use non computable real number analog networks to develop adaptive AI systems.

4:00 Close of AI World Government 2019



Wednesday, June 26, 2019 | 1:15 - 4:00 pm

Oceanic AB

Vij_SumeetTrack Chair: Sumeet Vij, Principal/Director, Strategic, Booz Allen Hamilton


Track Description: Organizations can effectively leverage automation in governance, risk management, compliance and security as they move to a digital platform for the future. Change in stewardship of data is afoot including how data ownership, retention, and public records are managed. Algorithmic modeling solutions deliver efficient analysis, though the “black box” question of how insights are arrived at remains an open issue where transparency and auditability are needed.

This track highlights the opportunity to use AI and automation to meet existing compliance reporting, as well as prepare for new legislation on data privacy and protection.

1:15 Track Chair Introduction

Vij_SumeetSumeet Vij, Principal/Director, Strategic, Booz Allen Hamilton

Kuehn_David1:40 De-Identification of Video Data for Public Sector Research

David Kuehn, Program Director, Exploratory Advanced Research Program, Federal Highway Administration 


The Second Strategic Highway Research Study (SHRP2) collected over one million hours of driving data from over 3,000 volunteers.  To preserve privacy, researchers only can view images of drivers which are critical for understanding behavior, available to more researchers at a secure data enclave.  To make driver image data, which are critical for understanding behavior, available to more researchers, the government is developing machine learning tools that mask driver identity while preserving head pose and facial behavior.  

2:15 Networking Break  (Oceanic Foyer)

Wu_Daniel2:25 3 Research-backed Strategies to Mitigate the Coming Trust Crisis: How to Embed Trust in Data-Driven Systems

Daniel Wu, JD, PhD, Privacy Counsel and Legal Engineer, Immuta


Trillions will be spent on “fourth industrial revolution” technologies that aim to automate and reduce the operational costs of many physical services using data and AI — such as heated sidewalks, smart buildings, and self-driving cars. But, as many high-profile projects are discovering, leaders need to ask who these investments leave behind or disempower. Law and technology can help create both internal systems and external systems to innovate safely and protect trust through ethical data capacity, inclusive processes, and data-driven priorities. 

Heider_Jun3:00 Creating Organizational Value from Machine Learning

Jun Heider, CTOO, RealEyes Media


The public sector needs to meet compliance standards with limited resources. As media volume grows, compliance success becomes increasingly difficult for human workers alone. Learn to successfully leverage machine learning to optimize and automate media compliance and monitoring workflows. Attendees will be provided with the knowledge and resources to get started and accelerate their transition to compelling machine learning workflows: redaction, transcription, translation, and media compliance monitoring.

4:00 Close of AI World Government 2019