June 17, 2019

The Medical Device Marketer’s Guide to Digital Transformation

Image of strings of light, seen from below

The idea of artificial intelligence (AI) is not a novel concept: as early as the 1950s, scientists and mathematicians were exploring the ability of machines to learn and make decisions. According to Google co-founder Larry Page, “Artificial intelligence would be … the ultimate search engine that would understand everything on the web. We’re nowhere near doing that now. However, we can get incrementally closer to that, and that is basically what we work on.”

While AI is not yet a perfect science, the explosion of data coupled with increasingly precise analytics is transforming healthcare and life sciences in meaningful, practical ways. Marketers’ ability to ensure that information is delivered to the right person, in the right place and at the right time, is becoming increasingly possible, and important. AI and machine learning (ML) enable med tech to make data usable, and to augment processes throughout the relationship with healthcare providers and patients.

Now is the time for medical device companies to ready themselves to harness the power of AI and machine learning. Just as these capabilities enable new means of targeting and reaching customers, deploying them successfully requires a new approach to content, processes, and technology. In this report, Intouch and Veeva collaborated to provide a dive deep into best practices and actionable tips for:

  • Understanding AI and ML
  • Setting the stage for successful integration of AI and ML into your marketing strategy
  • Applying AI in key areas for life sciences organizations

Read or download the entire whitepaper here.