How DataRobot and Qlik provide predictive insights at National Health Systems


Demand for AI and predictive machine learning continues to increase as organizations realize the value data science models provide. In a recent TDWI survey, for instance, over 70 percent of respondents stated that demand for machine learning was increasing. Yet many organizations struggle with this process. Machine learning output is often made available for the few on data science teams, rather than the line-of-business majority seeking such insights to influence and shape their mission-critical decisions.

During this webinar Fern Halper Ph.D a lead analyst from TDWI will explore the trends and challenges around machine learning and provide practical tips to build, deploy, and manage robust model, as well as surface the predictions so that the business can best leverage them.

When you attend this webinar, you will see how Qlik and DataRobot are helping to deliver on strategies for machine learning together at the UK’s National Health Systems (NHS) center for Information and Informatics.

Join us and learn:

  • How DataRobot machine learning is used with Qlik at NHS help business user make better decisions
  • How combining historical and live data with real time ML/AI can provide predictive insights
  • How to prepare and send data with key fields from Qlik Sense directly to DataRobot

Please register here »


Rob O'Neill
Head of Information and Informatics
National Health Systems
Bio »

Fern Halper, PH.D
Sr. Director of Research for Advanced Analytics
Bio »

Dalton Ruer
Senior Solutions Architect
Bio »

Lukas Innig
Data Scientist
Bio »