Seth Tyree, SVP, Strategy-Pharma Insights, Stratifyd and Tolga Akiner, Data Science Solution Architect, Stratifyd
As pharmaceutical companies collect more unstructured Voice of Customer data, manually reading and analyzing each entry becomes more costly and inefficient. The advances of natural language processing and other machine learning techniques make it possible to create an insights generation program where subject matter experts work with technology to analyze more data and accelerate time to insights.
Setting yourself up for success and maximizing the value of your VoC data requires changes in strategies and the way you handle data. In this webinar, you’ll hear from Seth Tyree, VP-Pharma Insights at Stratifyd and Tolga Akiner, Data Scientist, as they share their experience and best practices from building an insights generation program.
Learn about the importance of critical data prep activities like data labelling
Gain an understanding of key AI models and their roles in your insights generation from unstructured VoC data
See how AI and machine learning can work with your SMEs to accelerate insights