Altara has raised $7M to tackle a stubborn bottleneck in physical sciences: fragmented data trapped in spreadsheets and legacy systems. Its AI platform is designed to unify these sources and diagnose failures, helping teams accelerate experiments and R and D cycles. The goal is faster learning by making scientific workflows more data connected and actionable.
A KPMG report finds governments worldwide are preparing to deploy AI broadly, yet many can’t move past early pilots. The roadblocks: poor data integration across legacy systems, shortages of skilled AI talent, and rising cybersecurity risks. With most tech budgets still tied to maintaining old infrastructure, scaling AI remains a challenge despite growing political ambition.
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India’s digital health push is building on proven playbooks like UPI and CoWIN, demonstrating the country can deploy population-level systems at speed. However, the framework’s scope is still evolving, leaving open questions about how broadly it will cover, what data will be used, and how smoothly services will integrate across the health ecosystem.
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