Case Study: AT&T achieves enterprise AI transformation — 80%+ iPhone fraud reduction and $17M+ annual savings with H2O.ai

AT&T Transformed into an AI Company with H2O.ai

AT&T, a nationwide broadband and wireless provider, needed to scale AI beyond a small data‑science team that relied on open source tools and took months to deliver projects with ROI. To democratize AI and accelerate time‑to‑impact across use cases such as fraud detection, fleet maintenance, and route optimization, AT&T selected H2O.ai as its AI technology partner and platform.

H2O.ai deployed an AI‑as‑a‑Service approach (including the H2O AI Cloud, Driverless AI AutoML, and the co‑created H2O AI Feature Store) to link on‑prem and cloud data, speed model development, and share features across teams. The results included an over 80% reduction in iPhone fraud, $7M annual savings from fewer truck breakdowns, $10M annual savings from reduced fuel consumption, many production models across business units, and successful collaboration with Argonne National Laboratories on flood prediction.

AT&T

Prince Paulraj

Assistant Vice President of Data Science