Our views on business technology trends
How AI is helping product managers and product owners
AI is improving the product management function by enabling faster decision-making and stronger strategic acumen, while supporting more data-driven and innovative product workflows.
How generative AI is reshaping semiconductor design
Advanced nodes increase semiconductor chip design complexity, making it critical to balance power, performance, and area across the physical design process. This article explores how generative AI enables first-time-right silicon through continuous, learning-driven optimization.
Customer servicing 2.0 - The 2030 AI-enabled ecosystem
AI is entering day to day banking service, driven by economics. By 2030, customers expect outcome led, safe service. Banks must replace fragmented models with end to end, predictive, governed AI.
Article
Smarter, smaller, safer: The case for small language models in financial services
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.
Article
Fundamental mathematics and practical AI applications
Prof. Colm-Cille Patrick Caulfield, University of Cambridge speaks about the relationship between fundamental mathematics and practical AI applications.
Article
The growth of AI: From university labs to real-world business impact
Dr. James Fergusson, University of Cambridge, shares the work done in the Infosys Cambridge AI Centre on transforming scientific research, and how this collaboration can impact business.
How a unified AI platform can boost turnaround times for shipping companies
AI-driven document processing, rules, and orchestration boosted straight-through processing while reducing manual effort and turnaround time for a client.
Article
Generative AI for the manufacturing sector
New product design and development is the most attractive use case for generative AI in manufacturing, with concerns around ethics, privacy, and legal issues to be addressed.
Article
Generative AI for materials science
Prof. Ramamoorthy Ramesh, Rice University shared fascinating insights at the intersection of innovation in three critical areas – materials science, sustainable energy, and computing during a recent visit to Infosys Bangalore campus.
Article
Prof. Valery Yakubovich, executive director at the Mack Institute for Innovation Management, The Wharton School shared his views on several aspects of generative AI for innovation during an interaction.
Article
Leading from the front: Our generative AI guidelines for content creation
Infosys is a leader in AI, and so the Infosys Knowledge Institute seeks not only to provide insightful, authoritative thought leadership on AI, but also to provide active leadership on the practical use of AI in content creation.
