Being AI -first
Explore AI-first thought leadership with Infosys’ insights, reports, and industry-specific content
Business Technology Thought Leadership
This edition draws on 197 cards and payments institutions respondents. They form part of Volume 6 of the Infosys Bank tech Index edition's larger base of 400 largest banks by total assets. This edition compares how cards and payments institutions leaders view AI spend, their stage of AI implementation, and the functions where AI generates the most value and optimizes cost the most. These views are benchmarked against the full survey group.
AI observability keeps systems reliable, accurate, and aligned with their intended purpose long after deployment.
This discussion of insurance core modernization and artificial intelligence comes from a series of questions put to Infosys insurance and technology experts by a technology leader at an insurer. It gives guidance on where AI is changing insurance technology and what that means for modernization strategy.
AI adoption is only as strong as the organizational support employees receive.
AI adoption will accelerate only when organizations reduce employees' job security fears and build confidence in how AI will reshape their work.
Enterprise AI success depends on narrowing the adoption divide across senior, middle, and junior employees.
Generative AI platforms now cite only one to three sources per answer, making traditional SEO insufficient to gain and maintain digital visibility. This article explains how generative engine optimization (GEO) works, why it demands an enterprise-wide response, and how organizations can build the cross-functional capabilities needed to stay present, authoritative, and cited in an AI-first world.
AI-first R&D can help food and beverage companies move from trial-and-error innovation to guided learning by connecting data, predictive models, workflow copilots, and governance.
