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Why India needs an implementation layer for AI

By Prasaanth Balraj, Associate Director, AI and Digital Transformation, APLYD

India does not lack AI pilots. Health departments have tested diagnostic tools, districts have tried chatbots for grievance redress, and state agencies have experimented with models that flag tax fraud or forecast crop yields. As of early 2026, the government had identified 762 potential AI applications across 62 ministries and departments, a scale of ambition few countries can match. What is missing is the layer that carries these experiments from a demonstration in a conference room into the daily routine of a block office or a municipal ward.

The implementation layer is the connective tissue between a working AI model and its everyday use inside a government office. An official needs to find the recommendation inside the software they already open each morning, not in a separate dashboard nobody checks. A technically sound model can still go unused for years...

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Switzerland tests a FOSS escape route from Microsoft 365

Google plans to invest €13B in Finland, its biggest investment in Europe to date, over two years to build three new data centers and expand an existing center

I switched between 55-inch and 65-inch TVs to see if 10 inches really matters

Suno Trained Its v6 AI Music Models With Help From Warner And BMG