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.
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.
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.
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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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.
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How AI is elevating marketing in financial services
Marketers in the financial services sector are finding new, innovative ways for AI to enhance customer experience, acquisition, and retention.
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Accelerating hybrid cloud with generative AI
A strategic and coherent hybrid cloud environment can deliver competitive advantages to an enterprise.
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Cloud-agnostic operating model for multicloud resilience
For organizations that are multicloud by default, a cloud-agnostic approach will provide tools to take control of the complexity of a nonstrategic multicloud deployment.
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How asset tokenization unlocks liquidity in capital market
Asset tokenization unlocks liquidity for illiquid capital market assets. Tokenization is created and managed through blockchain technology.
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How Al transforms underwriting in security issuance operations
The financial securities issuance process is cumbersome and time-consuming. With the help of artificial intelligence (AI)-powered platforms that leverage a mix of traditional and generative AI, the process can be eased.
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From delays to precision: How AI is optimizing last-mile deliveries
Artificial intelligence (AI) helps logistics companies in demand forecasting, fleet scaling, dynamically adapting to real-time factors, creating personalized delivery experiences, and reducing costs related to speedy last-mile deliveries.
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End-to-end visibility to streamline automobile production
As cars become increasingly software-defined, end-to-end visibility for hardware and software will play a critical role to streamline new product launches and their ongoing production.
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Industry 4.0 for the process industry
Process manufacturing is asset-intensive, with Industry 4.0 playing an important role to improve profitability through preventive maintenance and autonomous decisions.