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ATARC 2022 AI & Data Virtual Summit

June 28, 2022, 10:00 AM - 1 PM ET

3 CPE Credits Available for this Event***

Register
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10:00 AM

Visionary Keynote

Anil Chaudhry

Anil Chaudhry

Director, Federal AI Implementations, IT Modernization Centers of Excellence, Technology Transformation Services, Federal Acquisition Service, U.S. General Services Administration

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10:15 AM

Emerging Technology Tech Talk

How to Foster Data Culture (with Data Intelligence Technology)

Aaron Kalb

Aaron Kalb

Chief Data & Analytics Officer, Alation

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10:30 AM

Panel: Can Artificial Intelligence Help Increase Fairness and Equity?

AI systems need to be ethical, responsible, transparent, and explainable. AI and ML systems are greatly dependent upon their training data to ensure results from the algorithms are fair and ethical. These concerns are particularly important for government decision making that may affect citizens and services.

Listen in as topic experts explore how the use of artificial intelligence to increase fairness and equity has become important throughout governmental decision-making. How should the government validate, measure, and ensure the ethics and fairness of AI systems and decisions?

Chakib Chraibi

Chakib Chraibi

Chief Data Scientist and ODS Acting Associate Director, National Technical Information Service, U.S. Department of Commerce

Donna Murphy

Donna Murphy

Deputy Comptroller for Compliance Risk, Office of Compliance and Community Affairs, U.S. Department of the Treasury

Jesse Rowlands

Jesse Rowlands

AI Strategic Officer, Defense Logistics Agency

Nelson A. Colón, Ph.D.

Nelson A. Colón, Ph.D.

Digital Service Expert - AI/ML & Cybersecurity, Defense Digital Service

Moderator:  Melissa Harris

Moderator: Melissa Harris

Senior Researcher, GovCIO

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11:30 AM

Panel: Let AI Bring BIG Value out of Big Data

As government mission requirements grow, Federal agencies continuously seek ways to maximize the use of the vast data sets they collect and store. Artificial Intelligence (AI) is a collection of technologies that excel at extracting insights and patterns from large sets of data. By using those insights and patterns to make future predictions, AI has the potential to improve mission effectiveness, stretch workforce capacity, combat waste, fraud, and abuse and drive operational efficiencies.

Tune into this panel as Federal CDO’s discuss their ever-changing data-centric environment combining real-time data streams, established databases, and legacy datasets. What are some major successes and challenges that occur at this intersection of finding value in the collected information. How can agencies best harness the AI potential to transform national security, agriculture, transportation and healthcare? What steps are completed and planned to leverage AI towards improvement in overall government operations?

Scott Beliveau

Scott Beliveau

Chief Data Officer (Acting), U.S. Patent and Trademark Office

Brien Lorenze

Brien Lorenze

Chief Data Officer, Pandemic Response Accountability Committee, Executive Office of the President

Oliver Wise

Oliver Wise

Chief Data Officer, Office of the Under Secretary for Economic Affairs, Department of Commerce

Thomas Sasala

Thomas Sasala

Chief Data Officer, Office of the Chief Information Officer, Under Secretary of the Navy, United States Department of the Navy

Nick Psaki

Nick Psaki

Principal Technologist - Office Of The CTO, Pure Storage

Moderator: Jory Heckman

Moderator: Jory Heckman

Reporter, Federal News Network

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12:15 PM

Panel: USDA Food and Nutrition Service, Utilizing Advanced Analytics and the Potential of A.I. 

Join the USDA Food and Nutrition Service to hear about how it leverages advanced analytics and important considerations to scale data science methods like machine learning to meet the nutritional needs of households in America. What do agencies need to consider when using data science methods such as machine learning, natural language processing, and others to supplement and potentially replace manual processes? FNS will discuss where it is as a government agency in ML/AI, how it all fits in relation to the White House and USDA priorities, and considerations in scaling these methods to ensure equity.

Tameka A. Owens, PhD, PMP

Tameka A. Owens, PhD, PMP

Assistant Administrator, Food and Nutrition Service, United States Department of Agriculture

Chris Rottler

Chris Rottler

Assistant Chief Data Officer, Food and Nutrition Service, United States Department of Agriculture

Paul Nieto

Paul Nieto

Deputy Chief Operating Officer, Food and Nutrition Service, United States Department of Agriculture

Melissa Abelev

Melissa Abelev

Assistant Deputy Administrator, Policy Support, Food and Nutrition Service, United States Department of Agriculture

Christine Daffan

Christine Daffan

Senior Technical Advisor, Food and Nutrition Service, United States Department of Agriculture

Moderator: Tom Temin

Moderator: Tom Temin

Anchor and Columnist, Federal News Network

Zoom for Government enables ATARC remote collaboration opportunities through its cloud platform for video and audio conferencing, chats and webinars across all devices. Allowing for individuals from all areas of government, industry and academia to communicate directly. 

*** 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. Program Level: Overview, no prerequisites required. Advance preparation: none. Delivery Method: Group Internet Based. Field of Study: Information Technology. Registration #140762. In accordance with the standards of the National Registry of CPE Sponsors, CPE credits have been granted based on a 50-minute hour. Refund, cancellation and complaint resolution policy.