It’s no secret that customer centricity and personalization tools are rapidly becoming the gold standard for healthcare professional (HCP) interactions. The growing consensus across the life sciences industry is that automation will help organizations target down to the individual level. Using tools enabled by artificial intelligence (AI) can help brand teams design customer journeys that […]
Decision support has become a vital tool in connecting brand strategy with execution, resulting in increased CRM satisfaction and better healthcare professional (HCP) engagement. When you roll out your decision support program, how can you ensure that you’ll get the adoption and long-term user engagement with the technology to achieve these results? Below are four essentials for maximizing engagement in AI decision support.
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.
In this two-part series, Veeva Systems SVP of Commercial Strategy Paul Shawah and Aktana CEO David Ehrlich discuss how to leverage machine learning and AI to optimize go-to-market strategy — both today and in the years to come. Part one below focuses on the current state of machine learning in life sciences commercial processes, including applications, success factors, and the effect on the HCP experience.
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.
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.
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, […]
Being responsive to the ever-changing needs of the pharmaceutical market is an essential consideration for a company like Aktana. Our value proposition has always been the right information, in the right place, at the right time—a moving target that we must constantly pay attention to and adjust for in order to reach. There’s simply no […]
How can we improve the way physicians and pharmaceutical companies work together? That’s the challenge posed by Align Biopharma—a new collaboration between our partner Veeva and some of the world’s leading life science companies including Allergan, AstraZeneca, Biogen, GlaxoSmithKline, Novartis and Pfizer. In a recent article, FiercePharma explains how this new group is making it […]