DataRobot in the News
FinTech Finance: FinTech Connect Live 2017, Justin Dickerson Video Interview
The Fintech Times: DataRobot – The Leader in Automated Machine Learning and AI
Banking Technology: Fintech Connect Live 2017 – The Unleashing of AI and ML
FinancialPlanning: In|Vest 2017 – DataRobot Live Demo
How DataRobot is Making Fintech Prediction a Team Sport
Blockchain and the End of Humanity?
Our expert says:
“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.” - Justin Dickerson, DataRobot’s General Manager of 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 automated machine learning 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 Automated Machine Learning 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 automated machine learning platform plays a critical role in aligning consumers with the right opportunities to match their risk tolerance and financial profile.
Cryptocurrency 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.
DataRobot Helps Fintechs With:
Credit Card Fraudulent Transactions
The cost of credit card fraud is billions of dollars per year. By accurately predicting which transactions are likely fraudulent, banks can significantly reduce these illegal transactions while providing card holders an excellent customer experience.
As a relatively new financial system, blockchain is particularly vulnerable to security threats. Build and deploy machine learning algorithms that can detect anomalous behavior anywhere along the chain.
Credit Default Rates
Individuals or businesses often need loans. Making accurate judgments on the likelihood of default is the difference between a successful and unsuccessful loan portfolio.
Digital Wealth Management
Machine learning algorithms help digital wealth advisory companies automate many portfolio management services to be more efficient and effective.
To maximize ROI, it’s important to boost marketing response rates and minimize misdirected communication. The most up-to-date modeling algorithms return the best results, but the data science expertise required to implement them can be daunting.
What our Customers in Fintech Say:
"What DataRobot was able to accomplish in the first hour was more thorough and accurate than models we had built over the prior month."Dave Truzinzki
Chief Digital Officer, Crest Financial
"“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
VP of Strategy and 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
Head of Data Insights, Avant