A global pharmaceutical giant faced scalability bottlenecks, high costs, and slow insights using IBM DB2 for drug discovery and clinical trials. By migrating to Databricks, they unlocked advanced analytics, real-time data processing, and AI-driven insightsāaccelerating drug discovery by 40% and reducing infrastructure costs by 30%. This case study reveals how they achieved seamless data migration, optimized costs, and improved clinical trial efficiency.
Discover the key lessons, challenges, and actionable takeaways from their transformation.
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