Being AI -first
Explore AI-first thought leadership with Infosys’ insights, reports, and industry-specific content
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Infosys TechCompass
Infosys Technology Review
Infosys Global Insurance Journal Volume 2
AI and the Future of Work
Infosys TechCompass
A quick view of how technology evolves and the trends shaping the future.
Infosys Technology Review
Where research, engineering, and enterprise strategy converge to shape tomorrow's organizations.
Infosys Global Insurance Journal Volume 2
Explores AI's transformative impact across the insurance value chain.
AI and the Future of Work
Scaling AI adoption demands enterprise-wide transformation across operations, models, and culture.
Healthcare payers can use agentic AI to coordinate complex workflows, improve operational efficiency, and maintain human accountability.
Shari Liss of SEMI makes the case that the semiconductor industry's growth now hinges on people, with hundreds of thousands of new workers needed in the US alone. Her answer is to stop rebuilding regional programs in isolation and knit them into one national system that shares what works across the country.
Ingrid Solvberg, former Director General of the Norwegian Petroleum Directorate, makes the case that board leadership and governance, more than the technology itself, decide whether AI adoption in energy succeeds.
Susie Forbath of Carina makes the case that building software for the public good and building it well are one discipline. As AI makes prototypes cheap to produce, the edge belongs to the people who know which problem to solve and will stand behind the answer.
Jon Olav Åbeland of Microsoft makes the case that the gap between AI pilots and production has widened in energy, and the work to close it begins before the first project launches.
Kannan Amaresh, Global Head of Insurance at Infosys, explains how insurers can move AI from promising pilots to measurable, enterprise-wide value.
Organizations must assess their current maturity and define their desired state to determine where to invest, before scaling.
Leaders from Å Energi, Tinfos, Microsoft, and Infosys explain why hydropower's safety-first operating culture has left the industry without the failure data its AI models need.