One of the seven patterns of AI, predictive analytics is being used in many areas of government to help humans make better decisions. Some examples of this pattern being applied include assisted search and retrieval, predicting some future value for data, predicting behavior, predicting failure, giving advice, and intelligent navigation. The idea is that it helps to make better decisions, providing augmented intelligence capabilities. Machine learning is what is helping to make the decision, adapting over time to provide better results.In this panel we’ll explore how various agencies are successfully applying the predictive analytics pattern of AI.

Recorded Panel from Data for AI Conference

Moderator: Tony Sanchez

Panelists:

  • Alex Measure, Bureau of Labor Statistics (BLS)
  • Dr. Chakib Chraibi, National Techincal Information Service (NTIS)
  • Bennet Gebken, Veterans Benefit Administration (VBA)

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