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How U.S. Army uses DataRobot

$2.2B+

“with $2.2B+ in excess funds identified at a 3x higher yield”

As published on datarobot.com, April 2022. Captured by usedby on Oct 7, 2026.

What happened

The U.S. Army uses DataRobot to predict which contracts are most likely to underspend their funding, so contracting officers can deobligate those funds and reallocate them to other high-priority projects. Predictions are governed in DataRobot and prioritized contracts are triaged in dashboards.

Summary written by usedby from the source page, in English. The figures are those of DataRobot and U.S. Army, not ours.

  • 3-5x“AI at Scale – 1,500+ users and 3-5x better at finding high-risk contracts than officers alone.”
  • nearly $1B“The Army has identified nearly $1B annually over the last two years and reallocated these critical funds due, in part, to successful machine learning technology.”

The U.S. Army tapped DataRobot to find contracts with unused funds, empowering contracting officers to reclaim the money and reallocate it to other vital areas—boosting the deobligation rate and saving thousands of staff hours.

From the page. datarobot.com, captured Oct 7, 2026

Our model was deployed into the Army Vantage Platform allowing Army Contracting Command to de-obligate those funds and reuse them for other priorities.

Bakari Dale, Army Senior Advisor, Enterprise Data Science & AI, U.S. Army, U.S. Army. Source, captured Oct 7, 2026

What the story claims, and what we checked

We compared the story with its live page on Oct 7, 2026.

  • The figure: $2.2B+CheckedPrinted word for word on the page, near the name of U.S. Army.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of U.S. Army.
  • The publication dateCheckedRead from the page’s own metadata, never guessed.
  • U.S. Army uses DataRobotCheckedConfirmed line. Latest check across sources: Oct 7, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

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