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.
The strategic advantage: CPGs outsourcing e-commerce technology and operations
This enables CPG companies to cut costs, boost efficiency, and enhance customer satisfaction, brand value, and profitability.
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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A much wider range of stakeholders from communities and different age groups must be included in discussions about artificial intelligence.
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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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Demystifying payroll parallel testing: A guide to flawless execution
How organizations can overcome payroll parallel testing challenges for greater efficiency.
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 can drive transformation in telecoms
Integrating AI across telecom businesses will bring strategic and financial advantages in this competitive space.
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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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The EU AI Act: An enterprise response strategy
A landmark piece of legislation in the EU will soon come into effect, setting the stage for further AI compliance obligations in future. Here we set out a strategy to comply with key provisions and ensure AI business benefit for the future.
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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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The poisoned well: Firms face the risk of deliberately compromised data
As creators worry about their work being scraped into generative AI’s datasets, they might plan deliberately destructive actions. Firms must evaluate the consequences and act accordingly.
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Unlocking the AI-first enterprise: A generative AI blueprint
A generative AI reference architecture simultaneously future proofs and democratizes the technology.
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The five pitfalls of M&A integrations
Mergers and acquisitions deliver significant value when done well. Yet, frequent exclusion of IT from the core processes leads to substandard business outcomes.
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Going AI-first isn’t easy. Here we propose a seven-pronged framework to operate AI at scale, with confidence.
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Sustainability Data: From Obligation to Opportunity
The cycle of collection and sharing sustainability data can lead to insights that both improve ESG outcomes and help the enterprise achieve its business goals.
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Next Generation Strategic Partnerships
Impact of AI and Automation - Machine capability driven by human intellect
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Next Generation Strategic Partnerships
Increase in AI and automation are driving demand for next-generation strategic partnership models between clients and service vendors.
