# How Travelport uses H2O.ai

As published on [h2o.ai](https://h2o.ai/case-studies/travelport-h2o). Captured by usedby on 2026-11-09.

- Company: [Travelport](https://www.usedby.ai/companies/travelport.md)
- Tool: [H2O.ai](https://www.usedby.ai/tools/h2o-ai.md)
- Industry: [Travel & Hospitality](https://www.usedby.ai/companies/industry/travel-hospitality.md)

## The use case: how Travelport deploys H2O.ai

Travelport uses H2O-3 to retrain machine learning models in near real time, addressing model decay and scoring latency across large volumes of training data.

Summary written by usedby from the source page, in English. The figures are those of H2O.ai and Travelport, not ours.

> With near real-time retraining of ML models and strong DevOps processes Travelport solved these challenges.

> Benefit of H2O is that it's really, really fast!
>
> Levi Brackman, Principal Data Scientist

Source: [h2o.ai](https://h2o.ai/case-studies/travelport-h2o), captured 2026-11-09.

## H2O.ai users in Travel & Hospitality

- [Booking.com](https://www.usedby.ai/companies/booking-com.md) — Confirmed

## What usedby checked

We compared the story with its live page on 2026-11-09.

- Checked: the passage quoted above is copied word for word from the page, near the name of Travelport.
- Checked: each number in our summary is printed on the page.
- Checked: Travelport uses H2O.ai. Confirmed line. Latest check across sources: 2026-11-09.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/travelport-h2o-ai · How we check: https://www.usedby.ai/methodology