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?
We kicked off the new year with enhancements primarily focused on increasing visibility and control for decision support in the field. Better visibility into rep behavior and suggestion dismissal reasons both promotes accountability and catalyzes improvement in brand strategy or execution. Among the most anticipated features of the V12 release include the following in the […]
What can happen in a year? The calendar turns from month to month twelve times. A single champion is crowned in each major sports league around the world. And Aktana and MSD can increase their deployment of Veeva CRM Suggestions from one country to three, and one therapy to nine! In 2016, we presented the […]
PharmaForce is an annual conference uniquely focused on improving how sales and marketing teams can collaboratively address the complex challenges facing our changing industry. This was our first year attending, and we were fortunate to both participate on a panel and host an informational luncheon in addition to exhibiting at our booth. If you were […]
It doesn’t take a rocket data scientist to understand why sales and marketing teams across industries are being drawn to artificial intelligence (AI) like moths to a flame. The promises and prospective applications are nothing short of game-changing: Anticipate the needs and behavior of each customer. Predict which interactions will have the best outcomes. Create […]
