Being AI -first
Explore AI-first thought leadership with Infosys’ insights, reports, and industry-specific content
Business Technology Thought Leadership
Highly Marelli unifies its global operations by implementing SAP S/4HANA on AWS, overcoming legacy fragmentation and building a scalable foundation for growth and agility.
Agentic AI is starting to be used in key business processes. But current testing methodologies fall short of the assurance needed to deploy them at scale, safely and reliably. A comprehensive evaluation framework is needed to explain reasoning processes, reduce risk, and ensure this vital technology achieves true business value.
Healthcare enterprises are realizing initial value from AI, with the greatest impact seen in standardized processes. Its adoption holds strong potential in improving care and doctor-patient interactions, though barriers have limited its broader use. Clear regulations, responsible AI practices, AI literacy, workforce training, and digital modernization are all prerequisites to overcome these barriers and enable AI to reach its full potential in healthcare.
Ericsson’s IBP transformation—powered by SAP and Infosys—redefines supply chain planning for resilience, speed, and intelligence in a hyper-connected world.
This conversation with Dr. Gautam Desiraju explores how India’s supply chains—and the global order itself—are being reshaped by resilience, complexity, and the new geopolitics of interdependence.
Small language models (SLM) deliver faster, cheaper, and more accurate AI solutions than large models. They enhance privacy, ensure regulatory compliance, and boost operational efficiency. Easily customizable and quick to update, SLMs excel in specialized banking tasks. Their accuracy and flexibility make them well-suited for agentic AI, which requires trustworthy, specialized, and easy-to-explain intelligence for financial services.
Data centers are driving new and different demand for power. Traditional generation, transmission and delivery systems are not well-suited to keep pace with the coming requirements. Microgrids and decentralized generation can reduce grid stress and ensure reliability in power-hungry AI data centers.
By using the software development strategy InnerSource, organizations can reduce development time and boost internal collaboration.
