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India's AI future depends on fixing data, not just building models: MoSPI Secretary Saurabh Garg
But India’s readiness for AI will depend less on powerful models and more on the quality of its data, Dr Saurabh Garg, Secretary, Ministry of Statistics and Programme Implementation (MoSPI), said on ...
The 2026-2027 update refreshes Black Book's baseline readiness analysis and details why openEHR's global momentum is increasingly tied to AI-usable longitudinal clinical records, digital sovereignty, ...
Google's AI assistant Gemini has surged to the top of AI leaderboards since the search giant's latest update last month.
Combining MCP, analytics-as-code, and LLMs to automate analytics execution at software speed SAN FRANCISCO, CALIFORNIA ...
Entity linking gives multi-location brands semantic clarity, improving local rankings, non-branded visibility, and AI search ...
While no platform eliminates fragmentation immediately, unified systems create a foundation where harmonized data is easier ...
When data is productized and semantics encoded, you unlock agentic AI at scale. Instead of assistants, you get executors: ...
Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
A modern data platform implementing the medallion architecture with local processing. semantic-medallion-data-platform/ ├── .github/ # GitHub Actions workflows ├── data/ # Data files │ └── ...
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