How Wipro is Leading METRO’s AI Transformation on Cloud

2026-06-19 · Source: AI Magazine · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Software Development & Engineering · Depth: Fundamental Awareness, short

Summary

Wipro has successfully completed a multi-year data center migration program for international food wholesaler METRO, moving its legacy IT operations to a modern, secure multi-cloud ecosystem on Google Cloud. This transition, announced on June 19, 2026, establishes a resilient and scalable digital foundation, crucial for METRO's long-term growth and its ambition to become an AI-first company. The program, part of a partnership first announced in December 2020 and extended in June 2025, eliminates infrastructure constraints, positioning METRO for AI transformation and real-time innovation. It integrates Wipro Intelligence, a suite of AI-powered platforms, enabling intelligent automation in areas like user lifecycle management and accelerating software development cycles with AI-driven engineering tools, thereby enhancing cybersecurity, agility, and decision-making.

Key takeaway

For CTOs or Directors of AI/ML planning large-scale enterprise modernization, this case demonstrates that a strategic, phased data center migration to a multi-cloud platform like Google Cloud is foundational for achieving an AI-first vision. You should prioritize establishing a resilient digital backbone to eliminate legacy constraints, enabling rapid AI adoption and intelligent automation across operational areas, thereby enhancing cybersecurity and accelerating software development cycles.

Key insights

Strategic cloud migration enables AI transformation, intelligent automation, and enhanced digital capabilities for large enterprises.

Principles

• Cloud migration underpins AI-first strategies.
• Multi-cloud ecosystems enhance resilience.
• AI integration improves operational efficiency.

Method

Implement a phased, risk-controlled data center migration to a multi-cloud environment, integrating AI-powered platforms for intelligent automation and advanced engineering tools.

In practice

• Automate user lifecycle management.
• Apply AI for faster software development.
• Strengthen cybersecurity through new infrastructure.

Topics

• Cloud Migration
• AI Transformation
• Google Cloud
• Wipro Intelligence
• Intelligent Automation
• Enterprise Modernization
• Cybersecurity

Best for: CTO, Director of AI/ML, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI Magazine.