Our views on business technology trends
The pros and cons of core modernization in insurance
This discussion of insurance core modernization and artificial intelligence comes from a series of questions put to Infosys insurance and technology experts by a technology leader at an insurer. It gives guidance on where AI is changing insurance technology and what that means for modernization strategy.
Integrated revenue growth management platforms for CPGs: A buyer's guide
CPGs can shift from fragmented levers to integrated decision-making, enabling faster action, stronger margins, and scalable growth.
How matrix telcos can maintain autonomy with a unified platform
A unified platform balances business unit autonomy with enterprise-wide integration, governance, and service assurance. deployment.
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From intent to impact: How manufacturers link AI use cases to measurable outcomes
Explore how manufacturers can link AI use cases to measurable outcomes across design, supply chain, production, cybersecurity, warehouse, sales, marketing, and service.
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How AI is changing the telecom playbook
AI costs are exploding and businesses are struggling to manage them. Telecom companies have the billing infrastructure, sovereign networks, enterprise trust, and data assets to become the AI consumption layer companies need. Five monetization lanes define the opportunity. Early movers are already in the market.
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From implementation to sustained control: AI's role in SAP S/4HANA for life sciences
As life sciences organizations expand their use of SAP S/4HANA, the focus is shifting from implementation success to maintaining operational discipline, compliance, and control at scale.
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.
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Trust but verify: Why enterprises need AI observability
AI observability keeps systems reliable, accurate, and aligned with their intended purpose long after deployment.
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The pros and cons of core modernization in insurance
This discussion of insurance core modernization and artificial intelligence comes from a series of questions put to Infosys insurance and technology experts by a technology leader at an insurer. It gives guidance on where AI is changing insurance technology and what that means for modernization strategy.
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The missing link in enterprise AI adoption: How to build the conditions for success
AI adoption is only as strong as the organizational support employees receive.
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Trust over tech: The key to AI adoption
AI adoption will accelerate only when organizations reduce employees' job security fears and build confidence in how AI will reshape their work.
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Why AI adoption looks different depending on your job level
Enterprise AI success depends on narrowing the adoption divide across senior, middle, and junior employees.
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Generative Engine Optimization: Enterprise Strategy Guide 2026
Generative AI platforms now cite only one to three sources per answer, making traditional SEO insufficient to gain and maintain digital visibility. This article explains how generative engine optimization (GEO) works, why it demands an enterprise-wide response, and how organizations can build the cross-functional capabilities needed to stay present, authoritative, and cited in an AI-first world.
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How AI-first research and development accelerates innovation in food and beverage
AI-first R&D can help food and beverage companies move from trial-and-error innovation to guided learning by connecting data, predictive models, workflow copilots, and governance.
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How European banks are building AI that lasts
European banks are better positioned than most to scale AI responsibly. They have the governance infrastructure, regulatory clarity, and proven use cases that many global peers are still building. The challenge now is whether they can convert that advantage into enterprise-scale deployment before competitors pull further ahead.
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From ERP capability to business execution
As Oracle Fusion Applications embed AI, automation, and modern user experiences into everyday business processes, organizations are finding that workflow redesign, governance, and user adoption are critical to turning ERP capabilities into measurable business outcomes.
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How to embed responsible AI into Canada's financial future
Canadian banks that align innovation with trust, transparency, and governance will build durable competitive advantages. As regulatory frameworks mature, embedding responsible AI at the infrastructure level will be essential for sustainable growth and stakeholder confidence.
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Why ServiceNow's unified platform works for every department
A unified platform helps businesses integrate data, processes, experiences, and governance into one cohesive ecosystem.
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How to build a modern logistics service provider operating model
Digital-first operating models powered by AI, automation, and control towers are critical to drive resilience, efficiency, and superior customer outcomes.
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AI solution map for modern container terminal operations
AI and advanced optimization technologies help container terminals simplify complex operations and optimize resources.
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The case for integrated, real-time operations in semiconductors
The semiconductor industry is navigating rising volatility as AI demand accelerates and supply constraints persist, making integrated, real-time operations on platforms such as SAP S/4HANA critical to aligning planning, manufacturing, and supply chains.
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Why SMBs are the growth opportunity for telcos
Small enterprises are telecom's most under-monetized opportunity. This article explores the structural gaps holding telcos back, and the actions that turn that opportunity into revenue.