What we see today with many standard NBA deployments Aktana has deployed over 1000 Next Best Action (NBA) programs around the world, across 350 brands in nearly 50 countries. What we see today is that many customers put a lot of effort into defining rules that generate suggestions. These suggestions are often ad hoc, in […]

In recent years, the Life Sciences industry has heavily focused on Next Best Action (NBA). But is this enough to deliver impactful results now and in the future? Hear industry pioneer, Aktana Co-Founder Derek Choy, share his take on why NBA technology alone is not enough in 2024 and beyond to achieve successful HCP engagement […]

With current economic pressures and tightening market conditions for pharmaceutical companies, it is more important than ever to arm sales and marketing teams with Next Best Action (NBA) solutions to streamline their engagement with healthcare professionals (HCPs). But what does “best” really mean? Today’s Trends: Data Evolution and the Demand for Personalized Engagement We are […]

Only 52% of surveyed pharma executives say they are successfully optimizing engagement across HCP touchpoints, yet 98% say that it’s important to create and implement an omnichannel strategy. What can we learn from the 52% about how to successfully integrate Next Best Action (NBA) programs in omnichannel strategies? Alan Kalton, Senior Vice President, Global Sales […]

It’s no secret that customer centricity and marketing 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 […]

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.

Q&A with Veeva’s Paul Shawah and Aktana’s David Ehrlich – Part 1 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 […]

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.