Being AI -first
Explore AI-first thought leadership with Infosys’ insights, reports, and industry-specific content
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Infosys TechCompass
A quick view of how technology evolves and the trends shaping the future.
Responsible Enterprise AI in the Agentic Era
Companies see RAI as a critical enabler for Enterprise AI success but are playing catch-up. RAI teams must invest in agile, efficient, scalable models as Agentic AI brings complexity and uncertainty.
Enterprise AI: The Board’s Role
How boards must evolve governance to keep pace with accelerating AI adoption.
Tech Navigator: Second Edition
How agentic AI solves real-world challenges across five major industries.
Retailers must embrace an AI-first, real-time, unified experience architecture that integrates customer insights, inventory, and omnichannel operations.
Advanced data, AI, and integrated technologies can empower retailers to proactively detect, predict, and prevent shrink.
What enterprises ask from their networks has changed, and the demands continue to grow. Companies will require a thinking network that is always on and always anticipating future requirements and avoiding potential outages and complications.
As marketing teams are forced to deliver more with fewer resources, agentic AI offers a solution to increase productivity and transform the economics and effectiveness of marketing.
This video features Dr. Bruno Zelic of LKQ Europe, Rajiv Puri of Infosys, and Professor James Fergusson of the Infosys–Cambridge Enterprise AI Centre discussing an AI pilot that uses agentic systems to solve large-scale automotive parts identification across fragmented legacy data.
Explore the enterprise data center of 2030. See how the traditional model becomes an autonomous, aware, and composable AI data center driven by sustainability.
As organizations enter the agentic AI era, product-centric value delivery (PCVD) must evolve to integrate autonomous AI agents and human expertise.