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.
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.
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Many organizations want to reap the benefits of generative AI but are held back by an outdated IT landscape.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Client onboarding at financial institutions is still an outdated and paper-based process.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.
How future-ready ITSM tools propel employee experience
Strong ITSM solutions enable organizations to empower employees and maintain productivity.
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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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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 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.
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Emerging risks compel insurers to modernize
In volatile times, the insurance sector serves as a ballast for the global economy by identifying and preparing for emerging risks. In a time where novel perils develop more rapidly and with greater intensity, insurers must redouble their efforts to prepare and advise clients. Here is our view on key emerging risks, and predictions on how these will be addressed across insurance subsectors.
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Modernizing enterprises: The power of generative AI in code migration
Enterprises are in a race to modernize. Code migration is part of the answer, but traditional approaches are slow and require access to talent, which is in short supply.
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The future of the human-centric workplace
To maximize AI's impact on employee engagement in hybrid work environments, organizations must begin by creating a strong groundwork for its effective implementation and adoption.
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Banks, It’s Time to Meet Evolving Customer Expectations with a Modern MarTech Stack
Today’s tech stack can help banks make the best use of their customer data to create a better engagement experience.
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How can banks implement CFPB’S Rule 1033?
Banks that proactively embrace CFPB’s Rule 1033 and invest in necessary technologies and processes are likely to gain a competitive advantage.
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How to get the best out of a modern CPG demand and supply planning platform
Selecting the right tech partner is vital for CPG companies, particularly in implementing demand and supply planning platforms customized to their unique business needs.
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Generative AI: The secret sauce for retail innovation
Retail businesses are harnessing generative AI to enhance customer experiences and streamline operations, but must tackle challenges in value, cost, privacy, and bias for sustainable growth.
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Generative AI for aeronautics and outer space applications
Prof. Mykel Kochenderfer, Stanford University shared several deep insights on how AI might be able to be used in aeronautics and space applications, during his recent visit to the Infosys Bangalore campus.
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Leading from the front: Our generative AI guidelines for content creation
Infosys is a leader in AI, and so the Infosys Knowledge Institute seeks not only to provide insightful, authoritative thought leadership on AI, but also to provide active leadership on the practical use of AI in content creation.
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Generative AI’s role in the energy industry
Generative AI will be instrumental in addressing the energy sector’s dual challenge of meeting growing global demand, while accelerating energy transition to net-zero emissions.
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Getting ready for enterprise AI with Salesforce
Many companies are unprepared for the AI era. Technologies like Salesforce Einstein can accelerate the journey, but success also requires careful consideration of strategy, governance, and the adoption of an AI-first, digital operating model.
