Infosys and Intel have announced the next phase of their strategic collaboration to accelerate enterprise AI adoption from pilot programs to production-scale deployments. The expanded partnership, announced on March 03, 2026, brings together Intel's high-performance compute platforms with Infosys Topaz Fabric to deliver measurable AI outcomes across industries.

Strategic Partnership Overview

The collaboration combines Intel's scalable, open hardware and software stack with Infosys Topaz Fabric, described as a purpose-built agentic services suite that functions as a multi-layer AI fabric. This ecosystem unifies infrastructure, models, data, applications, and workflows into a composable, agent-ready platform designed for enterprise-scale AI deployments.

Technical Innovation and Co-Development

The partnership emphasizes co-innovation across multiple technical domains, focusing on design, development, optimization, and benchmarking of AI workloads. The collaboration targets right-sized AI architectures that balance performance, security, and total cost of ownership to unlock predictable and production-ready outcomes for mission-critical enterprise applications.

The combined solution integrates several key components:

• Data integration and model management capabilities
• Performance monitoring and built-in security features
• Advanced AI agents with enterprise data access
• Task coordination with appropriate controls
• Secure and reliable operation across complex regulatory environments

Leadership Perspectives

Salil Parekh, Chief Executive Officer, Infosys, emphasized the collaboration's role in responsible AI adoption: "Our collaboration with Intel reflects Infosys' commitment to embedding AI deeply and responsibly across enterprise operations. By bringing together Intel's compute leadership and the capabilities of Infosys Topaz, we are enabling enterprises to unlock AI value at scale – securely, cost-effectively, and with clear business impact."

Lip-Bu Tan, Chief Executive Officer, Intel, highlighted the global reach and technical capabilities: "Working closely with Infosys allows us to bring the power of Intel's AI hardware ecosystem to enterprises globally. Together, we are delivering performance-optimized, energy-efficient, and open AI solutions that clients can deploy wherever their workloads reside – from data centers to the cloud to the edge."

Enterprise AI Transformation Focus

The collaboration addresses the critical challenge of moving AI initiatives from experimental phases to production environments with measurable business impact. The partnership aims to help organizations institutionalize AI at the core of their operations, supporting complex and regulated environments with appropriate security and compliance controls.

The combined platform supports advanced AI agents capable of accessing enterprise data, coordinating tasks, and operating within established governance frameworks, making it easier for organizations to deploy AI securely and reliably across their operations.

Infosys has announced the successful completion of a major data modernization program for CSX Corporation, a leading rail-based freight transportation company. The transformation represents one of the largest deployments of its kind in the transportation and logistics sector.

Comprehensive Platform Transformation

The modernization effort consolidated CSX's fragmented data landscape into a unified cloud-native platform using Infosys Topaz, Microsoft Fabric, and Microsoft Purview. Infosys led the end-to-end transformation, replacing legacy systems with a single, governed data environment designed to improve decision-making, accelerate reporting, and reduce operational costs.

Significant Business Impact

The transformation delivered substantial operational improvements for CSX Corporation. The initiative achieved significant annual infrastructure savings while establishing a foundation for predictive analytics, logistics optimization, and enterprise-wide operational intelligence. The modernization saved thousands of hours through automation and enabled real-time intelligence across the organization.

John Maio, AVP, Enterprise Data & Analytics, CSX Corporation, emphasized the transformational impact: "By modernizing our reporting and analytics platform with Microsoft Fabric, we've consolidated over 50,000 legacy reports into just 1,200 actionable insights, empowering our teams with real-time intelligence and AI-driven decision-making."

Strategic Technology Partnership

The initiative leveraged the strategic collaboration between Infosys and Microsoft, including joint participation in design and architecture planning with early access to Microsoft Fabric features. The implementation utilized Infosys Topaz, an AI-first set of services, solutions and platforms using generative AI technologies.

Arun Ulag, President, Azure Data, Microsoft, highlighted the platform's capabilities: "CSX's journey with Infosys Topaz exemplifies the power of Microsoft Fabric to unify and modernize enterprise data estates at scale. By leveraging Microsoft Fabric's intelligent, agentic data platform and robust governance capabilities, CSX has accelerated time-to-insight and enabled real-time analytics across critical business domains."

Future-Ready Data Foundation

The modernized platform positions CSX for advanced analytics capabilities and AI-driven operations. The transformation established a data-driven culture across the organization while creating opportunities for predictive maintenance, logistics optimization, and operational efficiency improvements.

Karmesh Vaswani, EVP & Global Head, Consumer, Retail & Logistics, Infosys, noted the strategic significance: "By leveraging Microsoft Fabric and our Infosys Topaz offerings, we delivered a unified, governed data platform that empowers CSX to anticipate disruptions, optimize operations, elevate customer experience and improve employee productivity."

This successful implementation demonstrates Infosys' capability in delivering large-scale digital transformation projects and reinforces its position as a leader in next-generation digital services and consulting across the transportation and logistics sector.