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Artificial Intelligence & Data Analytics Agenda

Oct 24, Marriott Metro Center, 775 12th St NW, Washington, DC 20005
Government RegistrationIndustry Participation

Oct 24, 2019

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7:30 - 8:30 AM

Registration, Breakfast and Opening of Artificial Intelligence & Data Analytics Technology Showcase

The Artificial Intelligence and Data Analytics Technology Showcase is a valuable market research tool for IT practitioners within the Federal Government. This immersive technological learning experience features demonstrations of innovative products and solutions from private industry that will provide agencies with greater mission efficiency.

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8:30 AM

Opening Remarks

Government Chair: Nevin Taylor

Government Chair: Nevin Taylor

Senior Advisor, White House Fellows

Analyst Chair: Kathleen Walch

Analyst Chair: Kathleen Walch

Managing Partner, Cognilytica

Government Chair: Gil Alterovitz

Government Chair: Gil Alterovitz

Director of Artificial Intelligence, VA

Analyst Chair: Ron Schmelzer

Analyst Chair: Ron Schmelzer

Managing Partner and Principle Analyst, Cognilytica

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8:40 AM

Visionary Keynote Briefing

Gil Alterovitz

Gil Alterovitz

Director of Artificial Intelligence, VA

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9:00 AM

NEXT – Artificial Intelligence and Machine Learning

Artificial Intelligence (AI) has emerged as a new, innovative approach for solving challenging problems that we encounter in practice, and as an enabler of disruptive innovations and smarter world. AI’s renaissance is driven by recent complementary developments, including major advances in the AI arena, realistic expectations, and recent success in its applications. AI is also raising some major concerns, real and perceived. Nevertheless, AI is trending to become a new normal and is increasingly being adopted in many applications despite its concerns and limitations. This panel will examine the new realities of AI in the federal space.

Edward Dowgiallo

Edward Dowgiallo

Principal Solutions Architect, DOT

Bennett Gebken

Bennett Gebken

Senior Program Analyst, Office of Business Process Integration, VA

Reza Rashidi

Reza Rashidi

Lead IT Executive, Robotics Process Automation, IRS

Todd Myers

Todd Myers

Automation Lead, NGA

Nevin Taylor

Nevin Taylor

Senior Advisor, White House Fellows

Moderator: Aaron Boyd

Moderator: Aaron Boyd

Senior Editor for Technology and Events, Nextgov

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9:45 AM

Market Research in ATARC Artificial Intelligence & Data Analytics Technology Showcase

The ATARC Artificial Intelligence & Data Analytics Technology Showcase is a valuable market research tool for IT practitioners within the Federal Government. This immersive technological learning experience features demonstrations of innovative products and solutions from private industry that will provide agencies with greater mission efficiency.

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10:30 AM

Ask the CIO Live with Jason Miller – Bridging the Data Analytics Gap

As a result of the Open, Public, Electronic and Necessary, (OPEN) Government Data Act that became law, Chief Data Officers (CDOs) are now mandated. How can CDOs bridge the gap between other agencies and the Office of Management and Budget (OMB) regarding best practices on how to use agency data?

Ted Kaouk

Ted Kaouk

Chief Data Officer, USDA

Melissa Macasieb

Melissa Macasieb

Acting Director, Office of People Analytics, DoD

Marco Enriquez

Marco Enriquez

Operations Research Analyst, Data Analytics Research, SEC

Alexander Measure

Alexander Measure

Economist, Bureau of Labor and Statistics

Chad Tompkins

Chad Tompkins

Data Section Chief, CFPB

Moderator: Jason Miller

Moderator: Jason Miller

Executive Editor, Federal News Network

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11:15 AM

Image result for federal times Fireside Chat: Ethics, Responsible AI and Data Analytics

AI systems need to be ethical, responsible, transparent, and explainable. This fireside chat will examine what is needed for data analytics and ethical AI.

Dorothy Aronson

Dorothy Aronson

CDO & CIO, NSF

Anil Chaudhry

Anil Chaudhry

Director, Systems and Innovation, Office Of Trade, CBP

Andrew Whitford

Andrew Whitford

Professor of Public Policy, University of Georgia

LTC Kristin Saling

LTC Kristin Saling

Human Capital Analytics & AI, Talent Management Task Force, Army

Moderator: Andrew Eversden

Moderator: Andrew Eversden

Federal IT/Cybersecurity Reporter, Federal Times

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11:45 AM

Visionary Keynote Briefing

Tom Sasala

Tom Sasala

Director of Data Strategy, Office of the Chief Management Officer, Navy

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12:05 - 1:30 PM

Lunch in ATARC Artificial Intelligence and Data Analytics Technology Showcase

The Artificial Intelligence and Data Analytics Technology Showcase is a valuable market research tool for IT practitioners within the Federal Government. This immersive technological learning experience features demonstrations of innovative products and solutions from private industry that will provide agencies with greater mission efficiency.

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1:30 PM

Visionary Keynote Briefing

Dr. Kathleen Kaplan

Dr. Kathleen Kaplan

Associate Director for Data Services, NTIS

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1:30 PM

Afternoon Breakout Sessions

Track 1 – 1102 Training: Acquiring AI in the Government

 Join us for a complimentary 1102 training session focused on acquiring emerging technology within the government! Don’t miss this educational session on NITAAC and NASA SEWP’s vehicles.

Ken Brown

Ken Brown

Industry Relations Manager, SGT, Inc., NASA SEWP

Jon Johnson

Jon Johnson

Senior Consultant/Subject Matter Expert, Business Integra, Inc., NASA SEWP

Bettie Hartley

Bettie Hartley

Contract Specialist, NITAAC

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2:00 PM

Tracks 2-6 – MITRE-ATARC Breakout Sessions

MITRE Chair: Erik Miller

MITRE Chair: Erik Miller

Computer Science Principal, Data Integration & Interoperability

Human-Centered Design Patterns for Artificial Intelligence (AI) and Machine Learning (ML)

This collaboration session will examine the use of ML in the information extraction process and how organizations use high quality/semantic data to drive ML and improve the way in which they derive reasoning from data.

Anil Tilbe

Anil Tilbe

Director of Enterprise Measurement & Design, Veterans Experience Office

Lee Becker

Lee Becker

Chief of Staff of Veterans Experience Office

Kathleen Walch

Kathleen Walch

Managing Partner, Cognilytica

Ron Schmelzer

Ron Schmelzer

Managing Partner and Principle Analyst, Cognilytica

Erik Miller

Erik Miller

Computer Science Principal, Data Integration & Interoperability

Mike Hadjimichael

Mike Hadjimichael

Lead Engineer, MITRE

Blockchain-managed Data

Applications using blockchain and related trends showing promise for government use. Among these blockchain topics, Identity and Blockchain (Specifically Self-Sovereign identity for returning data ownership to data subjects); applications of blockchain for global customs tracking (such as guaranteeing customs enforcement, tracking sensitive materials, or even tracking immigrants and refugees from various countries) and blockchain for cryptocurrency.

Craig Fischer

Craig Fischer

Supervisory Program Manager, Treasury

Cameron Boozarjomehri

Cameron Boozarjomehri

Principal Engineer, MITRE

AI-Assisted Healthcare and Health-Related Data: Challenges and Roadblocks

This session will emphasize the societal and technical limitations of artificial intelligence in systems and applications. We anticipate discussion of data interoperability, PII, etc.; evolution of research, commercial products and applications involving DNA, and other personal data commercialization. Further topics include impacts and implications for government use or protections of personal data including biometrics, facial recognition, the use of DNA and ‘genetic genealogy’ as evidence in legal proceedings.

Margeaux Akazawa

Margeaux Akazawa

Director, Internal Innovation Programs, HHS

Francis Campion

Francis Campion

Principal Lead, Digital Health, MITRE

Data Management, Commercialization, and Transparency

During this session, we will discuss how citizens use data and how government can make data available. In addition, we will address the tradeoffs around the value (e.g., security detection) and issues (e.g., vulnerability detection) with transparent log data. Additional discussion topics: How the government can (or should) apply resources to study and understand user profiles & behavior within government networks in alternative ways e.g., to understand / mitigate the highest risks of insider threats.

Chakib Chraibi

Chakib Chraibi

Chief Data Scientist, NTIS

Robert Persinger

Robert Persinger

Sales Director, US Federal, Denodo

Mari Spina

Mari Spina

Principal Cyber Security Engineer, MITRE

Artificial Intelligence (AI) / Machine Learning (ML) Enabled Solution Vulnerabilities: Detection and Mitigation

Discussion will be centered on the potential impact and mitigation strategies of adversarial examples on AI/ML enabled solutions. How do we know when our AI/ML enabled solutions are vulnerable? How do we currently mitigate the vulnerabilities? What is being done to systematically keep up with the evolving threats to our AI/ML solutions? What is the current state of practice?

Daniel Bier

Daniel Bier

Statistician, U.S. Energy Information Administration

Richard Eng

Richard Eng

Principal Software Systems Engineer, MITRE

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4:00 - 6:00 PM

ATARC Reception

Grand Ballroom Foyer

Register

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