
2023 Atarc Artificial Intelligence and Data Analytics Summit
April 6th, 2023, 7:30 AM - 12:00 PM ET | Marriott Metro Center, Washington DC3.0 CPE Credits Available for this Event***
7:30 AM
Registration  |  Breakfast
8:00 AM
Welcome and Opening Remarks

Tom Suder
Founder / CEO, ATARC
8:00 AM
Visionary Keynote Briefing

Randy Soper
Chief, Artificial Intelligence, Office of the Chief Information Officer, Internal Revenue Service, U.S. Department of the Treasury (invited)
8:30 AM
Visionary Panel: Women in AI and Data Analytics
Thousands of women have worked to provide U.S. government data and statistical analysis. This data helps the government operate but also helps civilians, nonprofits, and academia. Even though there have been great advances with women in the government, there is still a large gender gap in Science, technology, engineering, and mathematics (STEM). 26.9% of women make up the federal technology workforce according to a recent study by the Equal Employment Opportunity Commission. Despite this, Female leaders in STEM and AI have and still inspire young women to pursue career opportunities in engineering, AI, and sciences.
Listen to the successes of our female leaders in government, the hurdles they have had to overcome, and how the federal government can encourage more women to work in artificial intelligence and data analytics.

Sanja Basaric
Artificial Intelligence Program Lead, Office of the Chief Information Officer, Office of the Assistant Secretary for Administration, U.S. Department of Health and Human Services (invited)

Priya Thotakura
Senior AI/Data Lead, Division of Information Technology, Office of the Chief Information Officer and Chief Privacy Officer, Federal Deposit Insurance Corporation (invited)

Alexis Banks
Information Technology Specialist, Project and Performance Management Branch, Project Management and Operations Division, Office of Pollution Prevention and Toxics, Office of Chemical Safety and Pollution Prevention, United States Environmental Protection Agency

Callie King
Director of Artificial Intelligence (Acting), Chief Data and Artificial Intelligence Office, Office of the Secretary of the Air Force, U.S. Department of the Air Force (invited)

Elizabeth Neus
FedTech Magazine/Manifest (invited)
9:45 AM
Visionary Panel: Securing AI and Cloud as New Tools in Federal Spaces
New tech shouldn’t be seen as a bad thing, but there can be challenges when it comes to implementing newer platforms, tools, and resources. Artificial Intelligence and migration to the cloud are two of the most recent emerging topics in the Federal government. Both tools have the potential to greatly reduce human error, make processes more efficient, and make needed data accessible. Artificial Intelligence can assist security teams against attacks such as malware, ransomware, phishing, and data breaches. Cloud computing enables local governments to be more operationally nimble in response to what are often dynamic shifts in computing capacity needs – such as requests for service from members of the community – as well as data storage requirements. Listen in to Federal Leaders discuss the pros and cons of these two tools in their organization and how security, funding, and efficiency all play a role in deciding what tools to adapt.Â

Damian Kostiuk
Deputy Chief Data Officer, Office of Information Technology, United States Citizenship and Immigration Services, United States Department of Homeland Security

Landon Van Dyke
Chief Technology Officer, Office of Management Strategy & Solutions, Under Secretary for Management, U.S. Department of State

James Rodd
Cloud Portfolio Manager, Office of the Chief Information Officer, Federal Emergency Management Agency, United States Department of Homeland Security (Pending Agency Approval)

David Larrimore
Chief Technology Officer Office of the Chief Technology Officer, Office of the Chief Information Officer, United States Department of Homeland Security (Pending Agency Approval)

Tobias Naegele
Editor in Chief, Air Force Magazine (invited)
11:00 AM
Visionary Panel: Artificial Intelligence Ethics in the Federal Government
The Federal Government is continuing to work to improve AI innovation and advancing AI. However, AI systems can display algorithmic bias. Different forms of AI bias include dataset, association, interaction, automation and confirmation. AI technology is already displaying intentional and unintentional biases. If full implementation of Artificial Intelligence is to be achieved, Artificial Intelligence are to be achieved by the United States, federal agencies will need to follow policies and implement practices, methods, and processes to ensure the technology is ethically, effectively, and efficiently created and implemented.Â
Join us to see federal leaders talk about how they establish standards and guidance to navigate risks, and how they maintain the creation and curation of accurate and bias-free data sets.Â

Suman Shukla
Data Management Section Head, Product Management Division, United States Copyright Office (Pending Agency Approval)

Scott Beliveau
Chief Data Officer (Acting), Office of the Chief Information Officer, U.S. Patent and Trademark Office, U.S. Department of Commerce (Pending Agency Approval)

Edward McLarney
Lead for Transformation Integration and AIML, Enterprise Services and Integration Division, Office of the Chief Information Office, National Aeronautics and Space Administration (invited)

Chakib Chraibi
Chief Data Scientist, Office of the Chief Information Officer, National Technical Information Service, U.S. Department of Commerce (invited)

Jason Miller
Executive Editor / Reporter, Federal News Network
ATARC Industry Partners
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*** ATARC is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org