Being AI -first
Explore AI-first thought leadership with Infosys’ insights, reports, and industry-specific content
Business Technology Thought Leadership
Financial institutions face numerous challenges with their legacy core systems. With four innovative design patterns, financial institutions can move to a “coreless” strategy that reduces costs, improves speed, enables scale and enhances digital capabilities without impacting the core systems.
Client onboarding at financial institutions is still an outdated and paper-based process. This hinders efficiency and personalization. Embracing digital solutions and best practices can streamline onboarding, enhance client experiences, and drive growth, positioning banks to thrive in a competitive and evolving landscape.
Payment modernization is complex. Banks face challenges such as talent acquisition, strategic planning, cost management, and regulatory compliance. A target architecture centered around a payments integration and orchestration layer (PIL) and a chosen fit-for-purpose payment hub can help.
This episode covers key topics such as the implications of new regulations like GDPR and DORA, and the importance of open-source technologies.
Prof. Aditya Vashistha, Cornell University shared deep insights on AI when he attended the Infosys Topaz Responsible AI Summit 2025 recently.
Many companies are finding success with AI. Our research found that 19% of AI use cases achieve all business objectives — with 32% more following right behind and partially meeting their objectives. This signals a shift: Companies are moving from AI experimentation to scaling, while executives have shifted their mindset from use case functionality to business case value.
Enterprise AI is moving from experimentation to scaled deployments. While only 20% of deployments are delivering on expectations, 30% more are on the cusp of delivering value.
Exploring data and AI innovation with leaders from Databricks and Infosys, this discussion highlights the critical role of open-source technologies, governance, and AI in transforming business operations across industries.
