Artificial intelligence and machine learning have been adopted by those in life sciences needing access to deeper market insights to craft real world data-driven strategies with speed and precision.
Life science companies can reap the benefits of these technologies by partnering with IQVIA and leveraging our life sciences specific infrastructure and resources.
Everyone is at a different point in utilizing AI/ML to generate insights. Those still wondering whether they should add AI/ML to their commercial toolkit should read Beyond Classical Statistics: What Machine Learning Offers Life Sciences Industry. This insightful blog compares Classical Statistics and Machine Learning, weighing the challenges and benefit of each approach.
For those interested in how AI/ML can be applied on their clinical decision making, read our case studies Using AI/ML to generate real world evidence and Leveraging AI/ML for Predictive Segmentation. In the first article, our Real World Solutions (RWS) team explains how using artificial intelligence and machine learning help in disease prevalence and rare disease detection. In the second article, our Commercial Effectiveness Services (CES) team explains how one commercial application of AI/ML is used to predict key patient and physician segments in order to advance treatments and improve outcomes.
At IQVIA, we believe that there can be different approaches to a solution along with some best practices based on data, technology, and our expertise in the life science industry. Read Making AI/ML Part of Daily Decision Making where our Technology Solutions team talks about where to begin an AI/ML initiative, the top challenges and considerations to help companies accelerate adoption.
Thanks to IQVIA! Through collaboration and the utilization of their Human Data Science services we have become an example to our peer regions throughout the world. Using advanced analytics to create an outstanding customer experience was once a concept, yet now is real and having a profound difference in how we engage with customer.
—Bayer Canada
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How Artificial Intelligence and Machine Learning can improve customer engagement, drive sales and lower costs
Artificial Intelligence combines meaningful data and smart analytics to measure and optimize omnichannel customer engagement
How Artificial Intelligence and Machine Learning help in disease prevalence and rare disease detection
Using AI/ML to predict key patient and physician segments in order to advance treatments and improve outcomes
Top challenges and considerations to help companies accelerate adoption