Expert perspectives on GCC strategy, cloud modernisation, AI adoption, data engineering, and building enterprise talent in India.
Every enterprise leader is under pressure to transform. But transformation is not a strategy — it is an outcome.
Read Full ArticleResearch, analysis and practitioner perspectives across cloud, data, AI and GCC domains.
Enterprise AI crossed a threshold in 2026. For three years, AI in the enterprise meant chatbots, copilots, and generative tools that responded to prompts.
Enterprise AI has spent the last three years primarily inside screens — generating text, analysing data, powering chatbots.
Enterprise technology investment has never been higher — and the returns have never been more uneven.
Global enterprises expanding into lower-cost, high-talent geographies face a foundational decision: build a captive offshore unit they own and control, or engage a third-party vendor to run offshore operations on their behalf.
The way enterprises design, build, and deliver products has fundamentally changed. Digital engineering is the discipline that sits at the center of that change
Recruiting has always been a people function. In 2026, it is also a data and AI function — and the enterprises that have not made that shift are already operating at a structural disadvantage.
Mergers and acquisitions are among the most consequential decisions an enterprise makes — and among the most frequently mishandled.
India does not just host Global Capability Centers — it has become the strategic nerve center for how the world's largest enterprises build, run, and evolve their core capabilities.
Before AI can become effective, organizations must establish a reliable data foundation.
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