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.
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.
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?
How future-ready ITSM tools propel employee experience
Strong ITSM solutions enable organizations to empower employees and maintain productivity.
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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Many organizations want to reap the benefits of generative AI but are held back by an outdated IT landscape.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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Four design patterns to innovate around a bank's core
Financial institutions face numerous challenges with their legacy core systems. With four innovative design patterns, financial institutions can move to a “coreless” strategy that reduces costs, improves speed, enables scale and enhances digital capabilities without impacting the core systems.
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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.
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A smart approach to payments modernization
Payment modernization is complex. Banks face challenges such as talent acquisition, strategic planning, cost management, and regulatory compliance. A target architecture centered around a payments integration and orchestration layer (PIL) and a chosen fit-for-purpose payment hub can help.
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Prof. Aditya Vashistha, Cornell University shared deep insights on AI when he attended the Infosys Topaz Responsible AI Summit 2025 recently.
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How to balance people and technology for AI success
Successful AI implementations require blending technology strategies with a people-centric approach.
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Demystifying payroll parallel testing: A guide to flawless execution
How organizations can overcome payroll parallel testing challenges for greater efficiency.
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Telecom leader transforms customer experience through digital innovation
Telecom leader modernizes legacy systems, consolidates platforms, and automates processes, enhancing customer experience and operational efficiency.
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Generative AI for the manufacturing sector
New product design and development is the most attractive use case for generative AI in manufacturing, with concerns around ethics, privacy, and legal issues to be addressed.
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A blueprint for banks going AI-first
FS incumbents must fight back against digital challengers by going AI-first. To do so requires reimagining what it means to be a bank in the first place.
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How to tap into the wealth transfer: The power of predictive analytics
Wealth transfer from baby boomers to their younger millennial and Gen Z generation in underway. This presents wealth managers with an opportunity to engage customers, who demand personalized, technology-driven services that align with their values and expectations.
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A strategic roadmap for implementing site reliability engineering practices
Discover a strategic roadmap for implementing site reliability engineering (SRE) practices that enhance system reliability, automate workflows, and align with business objectives to improve performance and customer experience.
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How to pick the right hyperscaler for enterprise AI
Leveraging hyperscalers can ease the challenges of implementing AI for organizations — if they set the stage for them correctly.
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How AI can drive transformation in telecoms
Integrating AI across telecom businesses will bring strategic and financial advantages in this competitive space.
