Our views on business technology trends
Beyond augmentation: Agentic AI for software development
AI is progressively used in software development. But simple augmentation doesn’t achieve the full benefit of generative AI-based technology. For this, agentic AI must be used.
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.
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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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.
A new approach to safe agentic AI
Agentic AI systems are increasingly woven into critical business processes, requiring reliability, security, and high performance to maintain user trust and operational efficiency. Here we introduce a four-level framework to govern agentic AI systems at scale.
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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.
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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.
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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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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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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.
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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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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 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.
Case Study
Kardex’s digital transformation: Turning vision into value
Kardex is reimagining operations to double its business by replacing legacy systems with a unified digital foundation by leveraging Infosys and SAP to drive automation, agility, and scalability, and turning transformation into a strategic engine for growth and innovation.
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Agentic sales assistants for automotive lead conversion
Agentic AI has an important role to play in online car sales by offering customers a personalized, end-to-end experience that keeps them engaged.
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Sensor technology fusion for safe autonomous driving
As the volume of autonomous car trips increases, sensors and their integration across multiple modalities will play a key role for road safety.
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How AI gives corporate relationship managers a strategic edge
The role of a corporate relationship manager has grown more challenging in a digital world of fragmented data and time-consuming administrative tasks. An assistant built with artificial intelligence (AI) and natural language processing (NLP) can streamline day-to-day tasks and equip managers with the necessary customer data to build stronger relationships and serve their clients more effectively.
