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USDA Artificial Intelligence and Data Analytics Virtual Summit

December 3, 2020 from 1:30-3:45 PM EST
RegistrationIndustry Partners
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1:30 PM

Welcome Remarks and Visionary Keynote

Tom Suder

Tom Suder

CEO, ATARC

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1:30-1:45 PM EST

Visionary Keynote

Ted Kaouk

Ted Kaouk

Chief Data Officer, United States Department of Agriculture

Ted Kaouk serves as the Chief Data Officer at the United States Department of Agriculture.  In this role, he is responsible for developing strategies that enable USDA to fully leverage its data as a strategic asset, improving organizational decision-making and outcomes for citizens.  He was also selected as the first Chair for the newly formed Federal Chief Data Officer Council due to his expertise and leadership in data analytics.

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1:45-2 PM EST

TechTalk

Modernization Tools and Tactics

It seems more than a few organizations are lamenting having postponed their modernization initiatives. The shutdown(s) exposed some serious shortcomings in legacy systems, networks, processes, and business critical applications. Whether it be due to skyrocketing demand for online services but also the uphill climb to circumvent the need for on-site personnel. Now is a good time to take stock and consider solutions that do not require radical remedies. Our presentation will cover how to get dynamic, cloud ready, and agile today!

Seth Kindley

Seth Kindley

Principal Systems Engineer, Pure Storage

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2-2:45 PM EST

Data Analytics: Challenges Brought On By The Pandemic

COVID-19 has presented many challenges, along with significant growth opportunities, when it comes to data analytics within the federal government. This panel will have subject matter experts describe their best practices when it comes to data analytics. Hear as the challenges brought forth by COVID-19 are explained, as well as lessons that were learned and success stories.

James Barham

James Barham

Acting Assistant Chief Data Officer, Division Director, Data Analytics Division, Innovation Center, Rural Development, United States Department of Agriculture

Mark Denbaly

Mark Denbaly

Deputy Director for Food Economics Data, Research, Education, and Economics (REE), Agricultural Research Service (ARS), United States Department of Agriculture

Chris Alvares

Chris Alvares

Deputy CDO,Office of the Chief Information Officer (OCIO), United States Department of Agriculture

Moderator: Tom Suder

Moderator: Tom Suder

CEO, ATARC

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2:45-3:45 PM EST

Ethics, Responsibility, and Addressing Fairness in Consequential AI

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. How should the government validate, measure, and ensure the ethics and fairness of AI systems and decisions? This panel will examine what is needed for data analytics and ethical AI.

Matthew Thompson

Matthew Thompson

Research Forester, Human Dimensions Program, Rocky Mountain Research Station, USDA Forest Service

Cynthia Parr

Cynthia Parr

Acting Assistant Chief Data Officer, Research, Education, and Economics (REE), Agricultural Research Service (ARS), United States Department of Agriculture

Dr. Simon Liu

Dr. Simon Liu

Associate Administrator, Research Management and Operations, Research, Education, and Economics (REE), Agricultural Research Service (ARS), United States Department of Agriculture

Andy MacIsaac

Andy MacIsaac

Director, Solutions Marketing, Public Sector, Alteryx, Inc.

Moderator: Tom Suder

Moderator: Tom Suder

CEO, ATARC

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3:45 PM

Closing Remarks 

Register

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