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.
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.
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.
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 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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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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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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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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Democratizing alternative investments: Unlocking opportunities for retail investors
Retail investors are increasingly drawn to alternative investments for diversification, but hurdles like valuation, liquidity, and regulation slow adoption. Education, strategic allocation, and tech solutions can help unlock broader participation.
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DeepSeek-R1, a large language model (LLM) introduced in January 2025, changed the conversation around artificial intelligence (AI) development and deployment, thanks to how it seems to achieve high performance at much lower cost than Google’s or OpenAI’s alternatives. But what does this mean for large enterprises?
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How generative AI accelerates application modernization
Many organizations want to reap the benefits of generative AI but are held back by an outdated IT landscape. Fortunately, generative AI can also be used to speed up application modernization.
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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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First impressions matter: Why banks must modernize client onboarding
Client onboarding at financial institutions is still an outdated and paper-based process. This hinders efficiency and personalization. Embracing digital solutions and best practices can streamline onboarding, enhance client experiences, and drive growth, positioning banks to thrive in a competitive and evolving landscape.
