Breaking through the barriers: AI adoption and the healthcare industry

Webinar
Healthcare Resource Card 1 1

The future of healthcare is data-driven, and machine learning is key to enabling the AI-driven healthcare organization. Unfortunately, many healthcare providers and payers are struggling to effectively utilize machine learning. Many providers and payers simply don’t have the skills, tools, or time to deploy conventional machine learning solutions.

Hosted by Health Data Management

Healthcare Resource Card 1 1

In this webinar, Breaking Through the Barriers: AI Adoption and the Healthcare Industry, Colleen Cunningham-Greene from DataRobot and Scott Ogden from Healthfirst will cover:

  • The transformation to value-based care with the help of AI
  • How the adoption of AI drives operational efficiencies, improves quality, and optimizes revenue
  • Top AI use cases that are solving healthcare’s biggest challenges
  • DataRobot's platform makes my work exciting, my job fun, and the results more accurate and timely – it's almost like magic!
    Omair Tariq

    Data Analyst, Symphony Post Acute Network

  • I think we need to take it upon ourselves in the industry to build the predictive models that understand what the needs and wants of our customers are, and go through the whole curation process, become their concierge.
    Oliver Rees

    General Manager – Torque Data at Virgin Australia

  • At LendingTree, we recognize that data is at the core of our business strategy to deliver an exceptional, personalized customer experience. DataRobot transforms the economics of extracting value from this resource.
    Akshay Tandon
    Akshay Tandon

    VP of Strategy Analytics, LendingTree

  • DataRobot allows us to understand the data that’s being fed into our models without blindly feeding whatever we get into our system. DataRobot makes my team very effective.
    Deena Narayanaswamy
    Deena Narayanaswamy

    Head of Data Insights, Avant

  • We know part of the science and the heavy lifting are intrinsic to the DataRobot technology. Prior to working with DataRobot, the modeling process was more hands-on. Now, the platform has optimized and automated many of the steps, while still leaving us in full control. Without DataRobot, we would need to add two full-time staffers to replace what DataRobot delivers.
    Evariant