Deploy AI with ROI for Retail Banking, Commercial Banking, and Wealth Management

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Deploy AI with ROI for Retail Banking Commercial Banking and Wealth Management ResourceCard

With AI and automated machine learning, retail banks, commercial banks, and wealth managers can drive revenue growth, differentiate themselves through a superior client experience, and reduce operational costs, while improving quality and improving the effectiveness and efficiency of risk management.

There are hundreds of opportunities to leverage AI and machine learning in every line of business and function.  From prepayment risk and price elasticity of demand to needs-based recommendations and loan pricing optimization, tangible business value is being realized from the deployment of AI models. LendingTree is achieving success by matching borrowers with the highest value offers with an increase in acceptance rates.

Eight of the world’s top ten financial institutions use DataRobot to scale data science. As front-runners in AI adoption, they are seeing their early efforts fund additional use case deployments. DataRobot is trusted by PNC, USBank, LendingTree, FreddieMac, and TD Ameritrade, among others, partnering with these organizations to not only automate machine learning but accelerate and operationalize AI.

Deploy AI with ROI for Retail Banking Commercial Banking and Wealth Management ResourceCard

Do you want to:

  • Predict client profitability?
  • Deepen your relationship with your customers?
  • Achieve a high level of personal service?
  • Predict price elasticity?
  • Detect and prevent fraud?
  • Utilize time series modeling to set goals and performance targets?
  • Prioritize leads, prospects or referrals based on highest value?
  • Underwrite loans by isolating key financial metrics that strongly predict default risk?
  • Avoid losses through early warning of credit deterioration?
  • 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