Skip to main content
usedby

As published on arize.com. Captured by usedby on Oct 5, 2026.

What happened

Booking.com uses Arize to trace and monitor its GenAI agents and traditional ML models (such as ranking and fraud detection) in production and during development. Teams use it for latency monitoring, evaluations, drift detection and cohort analysis to find the causes of regressions and fix them.

Summary written by usedby from the source page, in English. The figures are those of Arize AI and Booking.com, not ours.

In one case, an Arize monitor fired when latency for a specific agent suddenly spiked several standard deviations above its baseline. Using Arize, our team quickly pulled concrete examples of slow calls to the alerting agent and confirmed that a new configuration was deployed as an experiment using a different model than before.

From the page. arize.com, captured Oct 5, 2026

What the story claims, and what we checked

We compared the story with its live page on Oct 5, 2026.

  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Booking.com.
  • Booking.com uses Arize AICheckedConfirmed line. Latest check across sources: Oct 5, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

Same company, same tool or same industry.

40%“Weaviate outperformed OpenSearch by 20x at scale and with 40% lower operational costs”Booking.com uses Weaviate. Another tool at Booking.com15+“The approach enabled 15+ production use cases in the first six months”Handshake uses Arize AI. Another customer of Arize AIAtropos Health uses Arize AIAnother customer of Arize AI