Being AI -first
Explore AI-first thought leadership with Infosys’ insights, reports, and industry-specific content
Business Technology Thought Leadership
Digital transformation is progressing, but without structured change management, adoption and outcomes will lag.
Health systems have invested in digital tools, but fragmented systems still make staffing and care delivery harder than they should be. A unified workforce intelligence platform can help leaders anticipate demand, deploy staff more effectively, and reduce operational friction.
Cell and gene therapies hold transformative potential, yet distribution remains a critical constraint. Scaling their impact demands coordinated redesign of logistics, infrastructure, and end-to-end delivery models.
Leaders from Infosys and Motive Partners make the case that most financial institutions are moving too slowly on AI and the window to catch up is narrowing.
The sixth edition gathers quantitative data from 400 largest banks by total assets in Asia Pacific, Europe, Latin America, the Middle East and Africa, North America and the UK. Our survey, exclusive to banks with assets surpassing $10 billion, tracks their AI spend, current stage of AI implementation, and the functions where AI generates the most value and optimizes cost the most.
Transforming enterprise service management into a cognitive engine for business requires changes to business processes, the use of AI tools to drive efficiencies, and a clear focus on business needs.
How Indian GCCs drive AI adoption and transformation.
Advanced nodes increase semiconductor chip design complexity, making it critical to balance power, performance, and area across the physical design process. This article explores how generative AI enables first-time-right silicon through continuous, learning-driven optimization.
