Four AI trends making commercial life sciences smarter in 2019

February 12, 2019/Erik Loos/Blog

Artificial intelligence (AI) has already proved to be useful when it comes to life sciences R&D, starting to fruitfully aid in plumbing the vast depths of discovery, clinical, and real-world data. However, the benefits of AI are now making themselves known on the business side of the life sciences industry, enabling commercial teams to better understand and address the needs of the healthcare providers and patients they serve. In 2019, the following trends will help to define how AI can become better integrated into the commercial side of life sciences businesses.

From Manual to Automation: MSD Personalizes Individual HCP Interactions

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 […]

Novartis and Aktana Present the New Commercial Engagement Model at
Veeva Commercial and Medical Summit, Europe

December 17, 2018/Caitlin Mazur/Blog, Events

The Veeva Commercial and Medical Summit, Europe welcomed over 1,000 attendees this year in Madrid, including speakers from some of the world’s largest life sciences companies. Concentrated on the era of intelligent customer engagement, attendees discussed the future of customer engagement across sessions, networking conversations, and on social media.

Four Essentials for Maximizing Engagement in AI Decision Support

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.

Aktana Presents the Missing Link to Coordinated Sales and Marketing at Dreamforce 2018

October 9, 2018/Lauren Schivley/Blog, Events

This year’s Dreamforce event brought together over 170,000 people in downtown San Francisco for its 16th year. One of the major themes discussed was how to cut through the noise to create a better customer experience through the use of artificial intelligence (AI) and digital engagement.

Still Waters Run Deep: The Major Analytical Advantages of Data Lakes

August 7, 2018/Jin Huang/Big Data

Companies today are drowning in data. The average company exceeds 50 percent per year in volume of data growth and has an average of 33 unique data sources — these are overwhelming amounts that make extracting analytical insights an arduous task. For those swamped with data that’s not being put to use, data lakes can provide immense value. Data lakes are storage systems that hold large volumes of raw, highly diverse data from many sources. Aside from providing internal benefits such as architecture flexibility and scalability, they make processing data quicker and more accurate, uncovering analytical insights that companies didn’t even realize before.

The Future of Machine Learning in the Life Sciences Industry – Part 2

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.

The Current State of Machine Learning in Commercial Life Sciences – Part 1

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 […]

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.

Machine Learning in Decision Support: Q&A with Aktana Chief Science Officer Marc Cohen

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.