How Pure Storage Powers Real-Time Telco AI

Why It Matters

Pure’s end‑to‑end data platform gives carriers the speed, compliance, and reliability needed to monetize AI‑driven network automation, reshaping telco economics and service quality.

Key Takeaways

• AI and automation demand robust telco data infrastructure.
• Pure's Data Stream cleans, synchronizes, and anonymizes real-time telemetry.
• Enables operators to choose sovereign storage versus public cloud locations.
• Guarantees 99.999% uptime with online, non-disruptive upgrades for telcos.
• Real-time congestion detection with generative AI explains impact instantly.

Summary

The video spotlights Pure Storage’s push at MWC 26 to become the go‑to data platform for telcos entering the AI‑driven, cloud‑era. By positioning its Pure Data Stream solution as “telco‑grade” infrastructure, Pure aims to give carriers a unified layer that can ingest, store, and move massive streams of network telemetry for real‑time analytics.

Pure’s narrative centers on two pain points: data preparation and speed. Network elements generate terabytes of raw, often unstructured telemetry that must be cleaned, anonymized, and synchronized before AI models can use it. Data Stream automates this pipeline, eliminates silos—some carriers still rely on Excel spreadsheets—and lets operators decide which data stays on‑premise for sovereignty and which moves to public clouds. The company also touts industry‑leading reliability, promising 99.999% uptime and non‑disruptive, online upgrades.

A concrete demo slated for the conference will ingest radio‑access, transport, and core data to detect congestion in seconds, then employ a generative‑AI “RAG” engine to produce a natural‑language explanation of the event, its scope, and affected users. Executives highlighted that similar analyses today can take weeks, underscoring the speed advantage. The discussion also referenced Pure’s SLA commitments—what the speaker called “79s” uptime—and the ability to run infrastructure for years without service interruption.

For telcos, the implication is clear: a modern data fabric can free staff from manual data wrangling, accelerate AI‑driven service assurance, and open new revenue streams while meeting strict regulatory and sovereignty requirements. Pure’s promise of ultra‑high availability further reduces operational risk, making AI‑enabled network automation a realistic, near‑term goal.

Original Description

As AI and automation reshape telecom networks, the data layer has become mission-critical. In this interview, Patrick Lopez, Global Field CTO, Telco, at Pure Storage, explains why carriers must rethink how they collect, clean and mobilize data across increasingly complex environments.

Every call, text and app session generates telemetry across hundreds of network elements. Before that data can fuel AI models or automation engines, it must be synchronized, anonymized and prepared in real time. Pure Storage’s Data Stream solution addresses two major pain points for operators: eliminating fragmented data silos and dramatically accelerating data readiness.

Built on high-performance storage appliances and intelligent data mobility software, Pure Storage enables operators to move datasets seamlessly from the network edge to the cloud while maintaining control over data sovereignty. The company also commits to seven-nines SLAs, supporting always-on telecom-grade infrastructure with fully online upgrades.

Lopez also highlights a real-time AI use case that detects network congestion across RAN, transport and core domains, then delivers a natural-language explanation of the event in seconds—compressing what once took weeks into immediate operational insight.

#PureStorage #TelecomAI #NetworkAutomation #DataInfrastructure #TelcoCloud