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.
Prasad Banala shares how a large North American retailer moved beyond AI experimentation by embedding agentic AI into requirements validation, testing, and quality engineering.
David Bahnsen unpacks what business leaders are misreading about debt, inflation, AI disruption, and the moral foundations of long-term value creation.
Sriram Kalyan of Nutrien Ag Solutions shares how a high-risk post-acquisition integration became a strategic reset, transforming fragile IT dependencies into a resilient, business-ready digital core.
As information technology operations have grown in capability, complexity and age, they have drifted away from their original promise: To make work easier, better or more efficient. Advances in autonomy, platforms and customization provide a path back to that original promise.
Enterprises invest heavily in cloud infrastructure, yet inefficient utilization leads to significant cost leakage. While FinOps teams and AI-enabled dashboards can surface anomalies, their insights are mostly retrospective. A multiagent AI system changes this by shifting cost management from reactive to proactive, predicting anomalies and executing real-time optimizations to drive sustained savings.
Redefining Work: Digital to AI First outlines how organizations can evolve their digital workplace into a human centric, AI first experience. The report highlights AI embedded in the flow of work to enhance productivity, enable human AI collaboration, and create smart, secure, and sustainable workplaces.
Automotive AI is at an inflection point. Re-engineering the core and learning from the UK can unlock the next wave of value.
Retailers must embrace an AI-first, real-time, unified experience architecture that integrates customer insights, inventory, and omnichannel operations.