Our views on business technology trends
Enterprise AI for an A2A ecosystem
Prof. Mohanbir Sawhney shared deep insights into the application of enterprise AI across organizations, more specifically for the marketing function.
The promise and perils of agentic AI in payments
Autonomous agents could revolutionize payments — if they can overcome today's obstacles.
The strategic role of data analytics in global trade and tariff dynamics
AI and analytics are transforming global trade by improving risk visibility, optimizing sourcing, and streamlining regulatory compliance.
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How to overcome language barriers: AI translation for the insurance industry
By investing in AI-powered multilingual solutions, insurers can improve customer experience, streamline operations, and unlock new markets.
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How AI in semiconductor manufacturing is transforming chip design
Using AI in semiconductor design enhances innovation, improves efficiency, and accelerates development, addressing complex challenges in the ecosystem.
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Beyond compliance: How to implement responsible AI and foster a workplace that champions it
Comprehensive organizational change management aligns people, processes, and incentives so that responsible AI becomes not an add-on, but a cultural default.
An AI playbook for retail marketers
The future of retail marketing is AI-powered, but only the smartly integrated will thrive.
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How to Manage the Rise in Credit Delinquencies
Explore how Infosys Decisioning-as-a-Service (DaaS), powered by FICO, helps enterprises to understand real-time customer insights.
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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.
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How agentic AI in telecom can boost efficiency in operations
Agentic AI is revolutionizing the telecom industry by enabling autonomous network management, hyperpersonalized customer experiences, and significant operational cost reductions.
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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.
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AI as new UI: Driving agentic process automation at enterprise scale
AI as UI, powered by Agentic Process Automation (APA), is revolutionizing business interactions by enabling natural, conversational commands allowing AI to understand intent, make decisions, and fully automate end-to-end processes.
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AI for resilient supply chains in times of uncertainty
While AI can’t fully eliminate tariff-related risks, it can significantly help businesses build resilient, adaptive, and intelligent supply chain operations.
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The strategic advantage: CPGs outsourcing e-commerce technology and operations
This enables CPG companies to cut costs, boost efficiency, and enhance customer satisfaction, brand value, and profitability.
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How AI agents will unlock value in CRM systems
AI agents applied to sales and marketing platforms will deliver enhanced value and address persistent problems in enterprise customer relationship management systems.
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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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Mix, match, delight: How retailers can wow customers with composable commerce
Composable commerce gives retailers the agility they need now while creating the foundation for future innovation.
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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.
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Hyperscalers: The star ingredient in quick service restaurant operations
Tapping into the power of hyperscalers can help QSRs sharpen their order management game — boosting visibility, streamlining operations, and slicing costs along the way.
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Data: A core requirement for successful AI
Lack of readiness is a key problem for businesses building AI products and services, and they must lay the groundwork here to achieve value.
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A much wider range of stakeholders from communities and different age groups must be included in discussions about artificial intelligence.
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Best practices for building next generation payments infrastructure
Modernization is essential for banks that want to attract and retain customers who demand personalized experiences. However, modernization is challenging and expensive, demanding high-stakes strategic decisions.
