The Future of Machine Learning in the Life Sciences Industry – Part 2

As discussed in part one of this series, machine learning and AI have already been applied in several ways in the commercial life sciences -- yet there’s potential to do even more. In part two, Veeva Systems SVP of Commercial Strategy Paul Shawah and Aktana CEO David Ehrlich discuss what’s in store for this emerging technology and how commercial and medical teams can make the most of it.

V14 Introduces Seamless Integration with Salesforce Marketing Cloud and Increased Control and Visibility

Driven by customer success and innovation, Aktana introduces major product enhancements multiple times a year based on customer input, advancements in technology and data sciences, and industry changes. The latest enhancements to Aktana Decision Support center around improving control and visibility for customers, punctuated with a new integration with Salesforce Marketing Cloud.

Aktana’s Machine Learning Method & Open Rate Results Published in PMSA Journal

Chief Science Officer Marc Cohen and the data science team at Aktana recently published their research in this area in The Journal of the Pharmaceutical Management Science Association, setting forth a successful machine learning approach for identifying message sequences that maximize open and click-through rates.

QuintilesIMS Compares MCM Channel Preference with Reality in Global HCP Survey

On the surface, it’s a pretty simple question: How do p […]

Six Essentials to Pharmaceutical Multichannel Marketing

MCM has become such a common topic in the pharma indust […]