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.
Artificial intelligence (AI) and machine learning are all over the news today and a priority for most data companies. Aktana’s product marketing director, Lauren Schivley, talks with Chief Science Officer Marc Cohen about what makes machine learning so valuable and how it applies to the commercial life sciences.
Our first annual customer roundtable took place last month in Manhattan, NY. Sales, marketing, IT, and innovation executives representing top bio-pharmaceutical companies convened to network and exchange ideas about decision support and artificial intelligence (AI) in commercial processes. The conversation was lively with many common experiences across companies, and a multitude of best practices were shared as well.
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.
The Veeva Commercial and Medical Summit hosted commercial leaders from across the life sciences industry this past week. Abuzz with talk of artificial intelligence (AI) and its potential to transform how life sciences companies engage with healthcare professionals, attendees sought to understand how to make this a reality in their organizations.
Machine learning (ML) and artificial intelligence (AI), once mere buzzwords akin to flying cars and moving sidewalks, have become commonplace in nearly every industry. Despite this impressive value delivered in R&D, why are life sciences companies only just starting to adopt machine learning to drive commercial excellence?
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