We Value Your Privacy

We use technology such as cookies on our website, and through our partners, to personalize content and ads, provide social media features, and analyse our traffic. To find out more, read our privacy policy and Cookie Policy. Please also see our Terms and Conditions of Use. By accepting these terms you agree to your information being processed by Inbox Insight, its Partners or future partners, that you are over 18, and may receive relevant communications through this website, phone, email and digital marketing. For more information on how we process your data, or to opt out, please read our privacy policy. Our policies and partners are subject to change so please check back regularly to stay up to date with our terms of use and processing.

Accept Terms Settings
x

Please Sign-In to Access this Report

To access other reports on the platform please sign in with your username and password, or register for a free account to get unlimited access and insight customized for you.

  • Home
  • IT
  • Software
  • The Next Steps Toward an AI-Powered Pharmaceutical Industry
Ebook The Next Steps Toward an AI-Powered Pharmaceutical Industry

The Next Steps Toward an AI-Powered Pharmaceutical Industry

63% of organizations in the life sciences and pharmaceuticals industry were identified as either a beginner or implementer when it comes to the stage of their AI maturity.

While advances in data science, machine learning, and AI are undoubtedly happening in the pharmaceutical space, there's still plenty of room for organizations to mature and scale, and a myriad of new use cases to develop.

Report Snap Shot

This ebook includes:

  • Key pharmaceutical use cases for organizations to begin today
  • Manufacturing and marketing use cases that are specific to pharmaceutical comapnies
  • Details around the need for data governance in the pharmaceutical sector (and how Dataiku can help enble it)

Related Content