SR Analytics

  Highlight ✅  AI Drug Discovery : Accelerate compound identification from 10+ years to 3–5 years ✅  Predictive Analytics : Forecast drug demand with 85%+ accuracy using machine learning ✅  Clinical Trial Optimization : Reduce trial costs by 30% through AI-powered patient matching ✅  Quality Control : Achieve 99.9% defect detection in manufacturing with computer vision ✅  Regulatory Compliance : Automate documentation processes, saving 40+ hours weekly ✅  Pharmacovigilance : Monitor adverse events in real-time across global markets The  AI in pharmaceutical industry  transformation is accelerating rapidly, with pharmaceutical AI implementation becoming essential for competitive advantage. As companies embrace AI in pharma across drug discovery, manufacturing, and patient care, the market has reached $1.94 billion in 2025 and projects to exceed $16.49 billion by 2034, with a robust CAGR of 27% according to  Precedence Research . For compr...

  The data visualization landscape has undergone a seismic shift in 2025. What once required hours of manual chart creation and complex SQL queries can now be accomplished through simple conversations with AI-powered tools. As artificial intelligence reshapes how organizations discover, interpret, and act on insights, understanding   why data visualization is important for business   has become more critical than ever. In the latest McKinsey Global Survey on AI, 65 percent of respondents report that their organizations are regularly using gen AI, nearly double the percentage from our previous survey just ten months ago. This rapid adoption signals a fundamental shift in how businesses approach data analysis and visualization. The AI Revolution in Data Visualization Traditional data visualization required technical expertise, time-intensive manual processes, and often resulted in static charts that quickly became outdated. AI data visualization tools are changing this para...