Our views on business technology trends
Chief marketing officers realize they need to change their approach to combat marketing ineffectiveness.
Generative AI for materials science
Prof. Ramamoorthy Ramesh, Rice University shared fascinating insights at the intersection of innovation in three critical areas – materials science, sustainable energy, and computing during a recent visit to Infosys Bangalore campus.
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.
Responsible AI for ethical excellence
With the increasing adoption of AI across all domains, companies must prioritize safe and ethical AI practices.
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Unveiling the future of cybersecurity: Zero trust at scale
By adopting zero-trust principles, organizations can greatly strengthen their security framework, reduce risks, and increase their ability to withstand emerging threats.
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How future-ready ITSM tools propel employee experience
Strong ITSM solutions enable organizations to empower employees and maintain productivity.
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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.
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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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The Urgency of a Sustainability Built Environment
Governments and companies are looking to whole life carbon assessments to understand how to cut emissions and reduce costs.
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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.
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C2PA: An innovative approach to mitigate the harms of synthetic content
Firms need a way to effectively authenticate media origins to minimize risks and build a resilient, responsible AI strategy. C2PA is one such solution.
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Four steps retailers can take to improve their cloud security
Cloud technology has the potential to transform how retailers operate and satisfy customer demands. Nonetheless, it also introduces security issues that must first be managed.
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Data centers look to immersion cooling as a path to sustainability – and lower costs
The electricity consumption of data centers could double by 2026, and one possible solution to this crisis is the immersion cooling technology.
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The challenge of information retrieval in enterprise AI
Enterprises are grappling with how to build trustworthy AI, and a retrieval augmented generation approach can help create more effective tools and reliable outputs.
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How to unlock the untapped potential of XLAs
Organizations can leverage experience level agreements, in service delivery, to measure and elevate the quality of their employees’ experiences.
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The Decent Dozen: 12 Principles for Responsible AI by Design
Balancing AI regulation and innovation requires a thoughtful examination of responsible AI practices. In this article we introduce twelve principles of a responsible AI strategy and explore responsible AI by design.
