Being AI -first
Explore AI-first thought leadership with Infosys’ insights, reports, and industry-specific content
Thank you for subscription.
Infosys TechCompass
Tech Navigator: A path to the agentic-first enterprise
AI First GCC Index 2026
SAP Journal
Infosys TechCompass
A quick view of how technology evolves and the trends shaping the future.
Tech Navigator: A path to the agentic-first enterprise
Tech Navigator: A path to the agentic-first enterprise
AI First GCC Index 2026
Survey of 500 GCCs in India reveals what drives AI adoption and results
Yunex Traffic streamlines its IT landscape by consolidating eight ECC systems into a single SAP S/4HANA core, enabling global standardization and scalability.
Salesforce CRM is evolving into a region aware, execution local architecture that balances global customer experience with strict local data sovereignty and compliance.
SDVs represent a transformative shift in the automotive industry, evolving cars into continuously updateable software platforms that enhance user experience and operational efficiency.
AI is accelerating digital transformation, but electricity and grid capacity are becoming the constraint to further business benefit. Leaders should combine demand-side flexibility, efficient AI engineering, and an AI-first operating model to scale responsibly, sustainably, and competitively in the agentic era.
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.