Banking Outlook: Top Trends in AI for 2020

Webinar
DataRobot Banking Outlook Top Trends in AI for 2020 Resource card v.1.0

2020 is set to be another year of unprecedented change in banking.  With banks going deeper with their AI implementations and some just beginning their journeys, DataRobot’s General Manager for Banking, HP Bunaes, will share where he sees banks from around the world deploying AI in the coming year.

If you are curious about what will be innovative or transformative for you, please join us to hear our 2020 AI Banking Outlook.

DataRobot Banking Outlook Top Trends in AI for 2020 Resource card v.1.0

In this webinar, you will hear:

  • Where financial institutions are finding value with AI adoption
  • What the biggest opportunities are in 2020 for AI deployment
  • What is the latest with democratization
  • Why getting governance right is important
  • How to move from DevOps to MLOps
  • What successful deployments will look like in the year ahead
  • 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