Dataiku and ZS Unite to Deliver Next-Generation AI Solutions for Healthcare Industry Leaders

Relationship set to accelerate digital transformation across industries, with a special focus on healthcare and pharmaceutical sectors

Dataiku, the platform for Everyday AI, and ZS, a management consulting and technology firm focused on transforming global healthcare, today unveiled a new relationship to help North American healthcare enterprises maximize AI. The relationship brings together ZS’s domain expertise in healthcare and life sciences with Dataiku’s platform for Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations. Together they will offer a comprehensive solution for clients’ AI needs, fueling business results while improving health outcomes.

The relationship will focus on solving customer pain points, such as determining where to apply AI for maximum impact, creating change management strategies, building the right team and choosing the proper technology to optimize operations. Dataiku and ZS have already worked together on several preliminary projects that have helped reduce the execution time of model predictions by up to 80%.

“For nearly 40 years, ZS has applied deep analytics and industry expertise to help our clients thrive. By working with Dataiku, we combine human expertise with a robust AI platform to positively affect health outcomes and our clients’ bottom lines,” said Swati Gokhale, Principal and Strategic Partnerships Leader at ZS.

“ZS offers our customers world-class insights to support their AI needs. We believe that our combined expertise in healthcare and advanced data science will be a game changer for our customers and prospects in the industry,” said Brian Power, Global Vice President, Consulting and System Integrator Partners at Dataiku.

Learn why top organizations in the healthcare industry (from providers to insurers and more) are using Dataiku.

dataiku
About DATAIKU
Dataiku is the platform for Everyday AI that allows companies to leverage one central solution to design, deploy, govern, and manage AI and analytics applications. Since its founding in 2013, the company has been the leader in democratizing data and empowering organization-wide collaboration.
gadget time
gadget time
gadget time
gadget time
gadget time
gadget time
gadget time
gadget time