Agentic AI shifts cloud FinOps from reactive to proactive
Enterprises invest heavily in cloud infrastructure, yet inefficient utilization leads to significant cost leakage. While FinOps teams and AI-enabled dashboards can surface anomalies, their insights are mostly retrospective. A multiagent AI system changes this by shifting cost management from reactive to proactive, predicting anomalies and executing real-time optimizations to drive sustained savings.
How retailers can crack the code to frictionless customer journeys
Retailers must embrace an AI-first, real-time, unified experience architecture that integrates customer insights, inventory, and omnichannel operations.
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Smarter stores, smaller shrink: How AI can rewrite retail loss prevention
Advanced data, AI, and integrated technologies can empower retailers to proactively detect, predict, and prevent shrink.
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Your own personal, thinking network
What enterprises ask from their networks has changed, and the demands continue to grow. Companies will require a thinking network that is always on and always anticipating future requirements and avoiding potential outages and complications.
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Human + AI agents: Foundation of marketing’s next operating model
As marketing teams are forced to deliver more with fewer resources, agentic AI offers a solution to increase productivity and transform the economics and effectiveness of marketing.
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Reinventing Product Identification: LKQ’s AI Journey
This video features Dr. Bruno Zelic of LKQ Europe, Rajiv Puri of Infosys, and Professor James Fergusson of the Infosys–Cambridge Enterprise AI Centre discussing an AI pilot that uses agentic systems to solve large-scale automotive parts identification across fragmented legacy data.
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Explore the enterprise data center of 2030. See how the traditional model becomes an autonomous, aware, and composable AI data center driven by sustainability.
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Human-agent collaboration at scale: A POD-driven PCVD framework
As organizations enter the agentic AI era, product-centric value delivery (PCVD) must evolve to integrate autonomous AI agents and human expertise.
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onsemi on AI, Agentic Systems, and the Digital Thread in Semiconductors
This conversation with Christine Deliance and Ratish Kumar of onsemi explores how AI, agentic systems, and digital threads are transforming semiconductor manufacturing, customer experience, and enterprise productivity.
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How agentic AI can redefine source-to-pay for semiconductor companies
The semiconductor industry is growing quickly with intelligent and connected systems. But manual chip procurement strategies can’t keep pace, and fragile supply chains increase risk. Agentic AI can help by automating much of the source-to-pay process, leading to lower costs and a more resilient business.
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Agentic AI for proactive risk management in enterprise projects
Enterprises are battling artificial intelligence (AI) disillusionment and employee burnout, with many digital transformation projects failing to reach production. The solution? A multiagent AI system that predicts failure weeks in advance and recommends proactive interventions to keep projects in green.
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Composable architecture: The blueprint for customer loyalty in CPG and retail
Composable commerce empowers businesses to design loyalty programs that fuel both customer love and the bottom line.
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Responsible AI and the Future Workforce
Responsible AI is reshaping the future of work—demanding governance, transparency, and human-centered innovation to unlock trust, productivity, and new enterprise value.
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How AI can transform public services
Public-sector organizations are turning to AI to improve services, and an effective AI incubator is key to scaling high-impact use cases.
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Empowering the Frontline: Talent & Transformation in Manufacturing
AI is reshaping manufacturing by empowering frontline talent, breaking down silos, and building learning-driven enterprises equipped for continuous transformation.
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Ericsson’s AI-enabled IBP transformation: Building the intelligent supply chain of the future
Ericsson’s IBP transformation — powered by AI, SAP, and Infosys — unifies global planning and accelerates intelligent, resilient decision-making across the supply chain.
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SAP digital transformations: The role of AI in business evolution
Businesses are modernizing by adopting clean-core SAP architectures, transforming legacy systems into intelligent platforms that harness AI for agility and scale.
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How retailers can win big with holiday e-commerce
Retailers can turn peak-season pressure into lasting advantage by building resilient, AI-powered e-commerce ecosystems.
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Highly Marelli’s Digital Journey with Infosys
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.
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Agentic AI risks to the enterprise, and its mitigations
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.
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AI in healthcare: Barriers and potential
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.
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Three-in-a-Box: The collaboration powering Ericsson’s supply chain future
Ericsson’s IBP transformation—powered by SAP and Infosys—redefines supply chain planning for resilience, speed, and intelligence in a hyper-connected world.
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India’s Supply Chains in a World at War: Dr. Gautam Desiraju on Geopolitics & Resilience
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.
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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.
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Microgrids solve major demand at AI data centers
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.
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How to accelerate innovation with InnerSource
By using the software development strategy InnerSource, organizations can reduce development time and boost internal collaboration.
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Drive global transformation: How Highly Marelli reinvented operations with SAP S/4HANA and Infosys
Highly Marelli undertook a bold transformation to unify its global operations, overcoming legacy system fragmentation and post-acquisition challenges. By implementing SAP S/4HANA on AWS Cloud, the company built a scalable, modern enterprise foundation to support global growth and agility.
Report
AI in CPG: Business Value Radar 2025
AI use cases in CPG generate tangible business value, on par with the industry average. Yet, achieving AI success remains challenging. Learn the strategic shift needed for success.
Report
Enterprise AI architecture and technology: Designing the autonomous future
Artificial intelligence (AI) is accelerating through transformative breakthroughs in agentic systems, multimodal processing, and frontier cognitive architectures — innovations that are reshaping the enterprise landscape as we know it.
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Meet energy trading’s new challenges with AI
Learn how artificial intelligence can help energy traders isolate valuable signals from digital noise.
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Strategies and tools for large-scale fiber deployment
Fiber network deployment involves complex planning, precise execution, and seamless activation to meet growing digital demands. This guide highlights essential strategies and tools to ensure scalable, efficient, and reliable fiber rollouts.
Report
The 2025 telecom industry is at a pivotal moment, balancing flat revenues and rising costs with investments in AI, cloud, and quantum technologies. Success will depend on financial discipline, strategic technology adoption, and navigating regulatory and cybersecurity challenges.
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Why capital markets platforms must go modular to harness AI benefits
Capital markets rely on COTS platforms for trading operations. However, rigid systems struggle with AI integration. Modular, API-driven architectures are the future. They enable agility, innovation, and adapt dynamically to changing regulations. Yet, the future is hybrid, blending COTS products with in-house AI solutions.
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Navigate towards an AI-first insurer
To succeed in the AI-powered industry, insurers must double down on AI or be left behind. Where to invest and how to realize the outcomes requires a robust AI strategy.
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Data as an Asset: The Friedkin Group’s Road to AI Readiness
Ken Elliott of The Friedkin Group shares how treating data as a corporate asset and embracing responsible AI adoption are transforming automotive operations, decision-making, and business value.
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Creating the live enterprise: The agentic AI imperative in manufacturing and retail
Agentic AI’s piecemeal adoption in manufacturing and retail creates local optimization but encourages value leakage overall. To create sustainable value, enterprises need to reimagine entire business processes enabled by this vital new technology. Done right, our research has found the result is a continuously evolving and learning organization – a live enterprise.
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Roles of the future in an AI-first organization
AI is creating new job families that combine human creativity and machine intelligence, driving the need for reskilling, new success metrics, and reimagined career paths.
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Tech Navigator: Second Edition – Applying agentic AI to industries
Agentic AI is already proving its value in broad domains, such as IT, business operations, and information intensive business processes. However, in this new Tech Navigator report, we shine a spotlight on how Infosys is using agentic AI to solve real-world challenges in five distinct industries.
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How agentic AI can help close mortgages faster
Mortgage processing can be slow and messy — too many documents, outdated systems, and complex workflows. Agentic AI changes that by speeding up applications, automating documents, streamlining underwriting, and handling appraisals. Borrowers get faster closings with fewer errors, while lenders become efficient and stay compliant. And with human oversight, it’s smart, fair, and secure.
Report
Enterprise AI: The board’s role in strategic governance
AI governance must catch up and keep pace with this fast-moving technology. Only then can the board provide clear, explicit leadership. While some organizations are proactively redefining their structures to lead in the transition to enterprise AI, others risk falling behind, ceding ground to better-prepared competitors.
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Joyson Safety Systems on AI in Manufacturing and Cybersecurity
This conversation with Maria Haight of Joyson Safety and Rakesh Babu Gollapalli of Infosys highlights how AI-driven manufacturing, responsible governance, and cybersecurity are reshaping industrial enterprises with both opportunity and risk.
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How to scale and optimize IT operations using agentic AI
IT operations has long relied on automation to reduce costs and increase stability and scalability. Yet, simple automation keeps teams stuck in reaction mode — fighting fires instead of pursuing initiatives that drive real business value. Enter agentic AI: a next-generation solution for complex IT management challenges.
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Engineering the Future: HDR’s Mitch Dabling on AI, Infrastructure, and Human-Centered Transformation
Mitch Dabling of HDR shares how AI and human insight are reshaping the future of infrastructure, from smart dams to sustainable cities.
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The AI advantage in new store openings
Achieving operational excellence in new store opening and expansion demands that retailers reinvent site management, powered by AI.
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How AI makes semiconductor equipment smarter
Semiconductor equipment manufacturers are integrating AI into tools to automate processes such as defect detection, calibration, and predictive maintenance, helping fabs improve yield and reduce operational inefficiencies.
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The Future of Asset Management in the Age of AI: CFO Perspectives
Allianz Global Investors and Infosys leaders share how AI, responsible risk frameworks, and resilience are shaping the future of asset management.
Report
Success for the travel industry relies on leveraging AI, delighting travelers with tailored experiences, and navigating safety and regulatory challenges.
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The key to achieving production-grade agentic AI
Agentic AI is moving beyond initial pilots and toward production-grade implementations. Here we outline a cloud- and AI-agnostic blueprint to make this important technology work at scale, solving many client pain points along the way.
Report
How AI is transforming professional services
AI, powered by large language models, is accelerating innovation in professional services by unlocking unstructured data, streamlining expert workflows, and enhancing competitive advantage.
Report
Infosys Healthcare Market Outlook 2025
The US healthcare system faces longstanding challenges and new headwinds. Some are beyond the control of healthcare providers and payers. But technology modernization, operating model upgrades and the effective adoption of artificial intelligence offer practical ways for caregivers and affiliated enterprises to better fulfill the mission of healthcare.