How to overcome data barriers in life sciences R&D with AI

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AI isn’t the hard part — data is. In life sciences R&D, fragmented, inaccessible data is still the biggest barrier to innovation. This blog explores a data transformation framework built to enable real AI impact, from semantic layers to agentic systems that accelerate discovery. If you’re building smarter science, start here ➡️ https://ow.ly/qXGA50WLhSY #LifeSciences #AI #Pharma #DataPlatforms

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Rav Chandan Kumar Singh 🌟

Senior Software Engineer | Turning Vision into Scalable Impact through Code | 4 years of exp.

2mo

Insightful perspective from EPAM Systems. While AI captures attention, data truly defines outcomes. In life sciences, what strategies have proven most effective for breaking silos and ensuring data interoperability at scale?EPAM Systems

Great insights! Making data work effectively is where AI truly comes alive. 🤩

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