by James Anderson, Jay Borowiecki & Bruce Carlson For years, the highly personalized, omnichannel customer journey has been somewhat of a pipedream for life sciences marketing teams—until now. Between the COVID-19 pandemic and the evolution of healthcare providers’ (HCP) expectations for personalized engagement, an industry-wide transformation is finally underway. Today, life sciences organizations must reach […]

Aktana has been recognized in the Life Science Personalization Engine category for a second year. See insights from the 2022 Gartner® Hype Cycle™ for Life Science Commercial Operations here. Aktana continues to be recognized as the category creator and leader of intelligent engagement in the life sciences industry with recent recognition in the category of […]

Healthcare providers (HCPs) have never been “easy” to reach. But today—between the deluge of communication in digital channels, the increasingly complex landscape of therapies and treatment protocols, and the expectation for highly personalized interactions in all aspects of consumer life—the bar for what merits HCP attention is higher than ever. If brands want to get […]

By Toni Cejas Aktana presents a three-part series focused on dispelling common AI misconceptions and how to engineer success that scales. In Part 3, we analyze past implementations to outline the key characteristics of every successful project. Catch up on Part 1 and Part 2 of our series here. Artificial Intelligence (AI) is becoming one […]

Alan Kalton and Graham Rapier Aktana presents a three-part series focused on dispelling common AI misconceptions and how to engineer success that scales. In Part 2, we discuss the myths surrounding costs of a global AI implementation, job replacement and the ideal time to scale up your efforts. It isn’t a lack of interest causing […]

Alan Kalton and Graham Rapier Aktana presents a three-part series focused on dispelling common misconceptions about AI scalability and how to engineer success after the pilot phase. In Part 1, we discuss the myths surrounding localization and foundational data requirements. Interest in Artificial Intelligence (AI) technology in commercial life sciences surged during the period of […]

In our last blog, we introduced you to Contextual Intelligence, a specific blend of advanced technologies—like business logic, machine learning and xAI—and human insight that enables life sciences teams to personalize the customer journey and create more meaningful experiences with HCPs. Today, we’re talking about relevance—the factor that determines whether brand interactions are engaged with […]

From industry pubs to internal strategy discussions, it’s hard to remember a time when AI didn’t dominate the conversation. Whether the focus is on driving HCP engagement, predicting next-best actions or unlocking the full potential of data investments, the message to commercial teams is clear: AI is here to stay, and if you don’t already […]

As a new decade begins, we’re on the cusp of a full-scale transformation in life sciences. As mentioned in Gartner’s recent report, Predicts 2020: Life Science CIOs Must Digitalize for Business Growth, “AI (artificial intelligence) is one of the most powerful, transformational technologies to enable new business models, customer experiences, service offerings, and business ecosystems across multiple industries.” That transformation is underway in the way life sciences companies manage their commercial operations.

This year’s European Veeva Commercial and Medical Summit welcomed more than 1,300 professionals from the life sciences industry in Barcelona. At the event, Gerhard Arnhofer, VP, Head of Integrated Multichannel Marketing at Bayer, and David Ehrlich, CEO of Aktana, presented how Bayer is partnering with Aktana to incorporate AI across commercial operations to create greater […]