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.
Going to Market Smarter: Aktana and Pfizer Share Real-world Application of AI at Veeva Commercial and Medical Summit
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.
I had the opportunity to attend the Enhancing Sales Force Productivity Conference recently at the University of Missouri. It’s an annual conference that brings together sales and marketing researchers from around the world to share their findings on using AI (artificial intelligence) to improve sales force management and performance. As the only commercial entity in attendance, we listened to several talks by academic experts and shared our own industry perspective in David’s keynote address. After two jam-packed days of networking, panel discussions, and research presentations, I came away with three main takeaways.
Aktana CEO David Ehrlich presented the keynote address at the Enhancing Sales Force Productivity Conference, an annual international conference hosted by University of Missouri’s Trulaske College of Business. Marketing science experts from around the world attended this two-day event to share insights and learn cutting-edge approaches for using artificial intelligence (AI) in sales.
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 […]
You’ve identified your use cases, implemented your brand strategy and orchestrated a successful roll out to the field. But what happens next? As we all know, change is inevitable. Additional data sources become available, new competitors arise and, as a result, strategies change. If you want to achieve continued success with your decision support program, […]