AI Transformation in Financial Services

In financial services the competition for customer share of wallet is intense with firms looking for every advantage in marketing while fighting fraud, money laundering and other issues. Companies that are making extensive use of AI are reaping the benefits of increased customer satisfaction and loyalty, decreased fraud, and reduced regulatory penalties which adds to their bottom line.

These companies are using AI for a number of scenarios including anti-money laundering, fraud detection, credit risk scoring, and churn prediction. H2O.ai, the open source and automation leader in AI, is empowering leading financial services companies to deliver AI solutions that are changing the industry.

H2O.ai Use-Cases and Customers

Related Case Studies

Agus Sudjianto
EVP, Head of Corporate Model Risk, Wells Fargo

"Managing machine learning model risk is of the utmost importance in heavily regulated industries such as finance; in particular, to manage potential risks due to bias/fairness, conceptual soundness, implementation, and model change control"

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Ruben Diaz
Data Scientist, Vision Banco, Vision Banco

"The automation of the data science process reduced time and costs. And time is money. So, you can do more with the same amount of time. It's possible to deliver more value to the business, develop more use cases and focus the data science effort in the use case instead of development tasks."

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Rafa Garcia-Navarro
Co-Founder, CEO, and Chief Data Scientist , Ducit.ai

"When it comes to developing artificial intelligence products the deployment is where most platforms fall short and with H2O we've got the mojo implementation that essentially simplifies that to the point of being a java object that you incorporate to your platform. That's fantastic!"

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