Become a Data Science Superhero

Read how Nathan of Symphony Post Acute Network achieved it

Banking

Predictive modeling is the key to boosting revenue and staying competitive. Regulatory scrutiny, the shortage of business savvy data scientists, and the long development time for these models make this challenging. DataRobot’s machine learning automation platform empowers existing business teams to solve analytic problems rapidly. From prospecting new corporate customers to more nimble model risk management, the banks that leverage machine learning automation will be the ones that survive the Fintech invasion. DataRobot is changing the game for banks around the world. Is your bank ready for the 4th Industrial Revolution?

DataRobot can help you with:

AML

Machine learning will reduce false positive rates and increase accuracy, leading to greater efficiency, lower costs, and reduced exposure to regulatory fines and issues

Prospecting

Identifying the highest quality business and commercial banking customers with limited data is critical to success, but most banks take a subjective and inconsistent approach. Machine learning will improve close rates and increase revenues using data that banks already collect

Fraud Detection

Banks lose billions of dollars to fraud every year. Real-time machine learning solutions will evaluate transactions in real time and prevent losses before they occur. DataRobot’s platform enables banks to build their own anti-fraud solution, reducing their reliance on black-box vendor models

Model Validation and Risk Management

Banks want to build, deploy, and use predictive modeling to improve the bottom line, but regulation and sound risk management represent a significant cost and friction to speed-to-market. A systematic approach to model building and evaluation, including automated challenger models means better, safer models in less time

Credit and Pre-Payment Risk

Credit risk models are the bread and butter of the banking industry, but development and use of these models has not penetrated the commercial banking space in many cases. Machine learning automation will enable business experts in commercial lending to use the same tools that their consumer counterparts are using.

Infrastructure monitoring

When the network goes down, business stops. Banks capture terabytes of logs every day. These logs contain vital information about the health and security of banking infrastructure, but this data is rarely used to predict potential problems. DataRobot will enable banks to monitor their systems 24 hours a day

DataRobot empowers business experts to do technical analysis without advanced degrees. The people who know the problems the best are now the people who are best equipped to solve them. Machine learning automation is the key to unlocking the potential of your business teams.

Gregory Michaelson

General Manager | Banking

DataRobot

Commercial Banking
Consumer Banking
Federal Regulators
Model Risk Management
Markets

Where you can find us

Lendit China

July 15-16, 2017

Lendit Europe 2017

October 9-10, 2017

Money 20/20

October 22-25, 2017

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