Banks Are Betting on Artificial Intelligence and Machine Learning to Transform Their Business hero banner

Banks Are Betting on Artificial Intelligence and Machine Learning to Transform Their Business

AI in banking drives improved personalization, increases customer retention, and maximizes banks’ ability to lower risk, combat fraud, and boost the bottom line. Find out how leading banks are using AI to improve efficiencies and profits throughout major lines of business, from SME lending and commercial banking to auto loans and credit cards.

Download this Frost & Sullivan ebook to learn:

  • How retail banks are using machine learning for credit risk use cases
  • How banks are using AI to enhance the profitability of their credit card business
  • How AI enables banks to offer better access to credit for SMEs
  • How banks can improve their anti-fraud protections with machine learning
  • Frost & Sullivan recommendations around achieving AI success with the right processes and people
  • DataRobot's platform makes my work exciting, my job fun, and the results more accurate and timely – it's almost like magic!
    Omair Tariq
    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
    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

  • 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.