Our views on business technology trends
Prof. Valery Yakubovich, executive director at the Mack Institute for Innovation Management, The Wharton School shared his views on several aspects of generative AI for innovation during an interaction.
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.
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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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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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.
How future-ready ITSM tools propel employee experience
Strong ITSM solutions enable organizations to empower employees and maintain productivity.
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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.
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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.
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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.
