Vendor Sheet

Using Connected Intelligence to Improve Decision-Making, Part 2

Using Connected Intelligence to Improve Decision-Making, Part 2

Pages 2 Pages

Focuses on the role of technology and data science in enabling connected intelligence. Describes how real-time pipelines, data de-identification, NLP, and global standards strengthen data quality and flow. AI and ML drive predictive insights, recommendations, and automation, while cloud-based platforms break silos and embed intelligence into workflows. Emphasizes the need for rigorous use case selection, KPIs, and ongoing model adjustments. Concludes that unified platforms enable life sciences firms to move from big data toward actionable, advanced insights.

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