Welcome Remarks and Visionary Keynote
1:30-1:45 PM EST
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.
1:45-2 PM EST
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!
Principal Systems Engineer, Pure Storage
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.
Acting Assistant Chief Data Officer, Division Director, Data Analytics Division, Innovation Center, Rural Development, United States Department of Agriculture
Deputy Director for Food Economics Data, Research, Education, and Economics (REE), Economic Research Service, United States Department of Agriculture
Deputy CDO,Office of the Chief Information Officer (OCIO), United States Department of Agriculture
Moderator: Tom Suder
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.
Research Forester, Human Dimensions Program, Rocky Mountain Research Station, USDA Forest Service
Acting Assistant Chief Data Officer, Research, Education, and Economics (REE), Agricultural Research Service (ARS), United States Department of Agriculture
Dr. Simon Liu
Associate Administrator, Research Management and Operations, Research, Education, and Economics (REE), Agricultural Research Service (ARS), United States Department of Agriculture
Director, Solutions Marketing, Public Sector, Alteryx, Inc.
Moderator: Tom Suder