DataRobot captures the knowledge, experience and best practices of the world’s leading data scientists, delivering unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot enables Fintech users and companies to build and deploy highly accurate machine learning models in a fraction of the time.
Fintech is exciting. It’s truly a disruptive force in the economy. As the interaction between consumers, businesses and financial institutions becomes frictionless, there are significant opportunities for fintech organizations to use predictive models. Automated machine learning allows fintech companies to create simpler and more accurate underwriting models, detect fraud in their workflows and find the right customers for their products.
DataRobot’s General Manager Fintech
Fintech has fundamentally altered the lending landscape, and machine learning has shined as a game-changing technology for lenders. From making smart underwriting decisions and reducing friction between lenders and consumers, to identifying new customers and reducing the churn of existing customer bases, DataRobot's machine learning automation platform helps fintech lending organizations make better predictions, faster.
Improvements in the flow of capital across borders is one of the most significant benefits of fintech, allowing businesses and consumers to participate in the financial ecosystem in exciting new ways, but significant challenges remain. Fraud has always been a concern in the banking and payments industries. DataRobot's machine learning automation platform allows companies to build predictive models to identify payment transactions needing closer human inspection. By deploying machine learning models in real-time production, DataRobot helps companies find bad apples before they cause permanent damage.
In an industry dominated by personal wealth advisors, fintech has begun to automate the interactions between advisors and consumers in a way that increases transparency and reduces transactional fees. Machine learning will play a major role in the development of the digital wealth market, addressing the need for increased automation of portfolio management as "robo-advisors" begin to interact more frequently with customers. DataRobot's machine learning automation platform plays a critical role in aligning consumers with the right opportunities to match their risk tolerance and financial profile.
Crypto-currency and distributed ledger technology is one of the most exciting developments in fintech. Blockchain technology is still in early development, which makes it an ideal candidate for machine learning solutions. These early use cases include detection of identity theft, cyber-attack, and fraudulent and illicit blockchain transactions. DataRobot is flexible enough to allow blockchain-focused companies to build models that detect all these threats in real-time.