Usecases
ZestFinance helps companies assess borrowers with little to …
ZestFinance is the maker of the Zest Automated Machine Learning (ZAML) platform, an AI-powered underwriting solution that helps companies assess borrowers with little to no credit information or history.
Giunti, an Italian publishing house, detects cybersecurity threats …
Giunti, an Italian publishing house, enlists DarkTrace to detect cybersecurity threats. DarkTrace's solution maps network topology and instantly detects deviations and classifies them. If perceived as threat, alerts are generated. The system offers 100% network visibility and real-time threat detection.
BookIt achieves a 20% revenue increase by driving …
BookIt achieves low bounce rate and higher time on site using curating specialized content featuring different destinations and deals for different customer segments. They use Google Analytics to measure impact of content and achieve higher personalisation. Since implementing Google Analytics they were able to attract 30% net new traffic to the site.
Baidu does underwriting for consumers with limited credit …
Baidu partners Zest Finance to use their machine learning platform to underwrite credit risk for consumers with little credit history. The platform analyses data such as payment and purchase history, customer support data etc. They also analyse variables such as how customers fill out forms, how they navigate websites, whether they are being honest about reporting income etc.
Scotiabank improves payment collections of credit card customers …
Scotiabank is using deep learning to better manage credit card collections. The platform developed by Dessa identifies risky customers and classifies them according to risk which is calculated by analysing historical data from the bank. It then predicts whether the customer needs a reminder or not, whether there is a chance of delinquency and so on.
Recurly recovers 70% of previously declined card payments …
Recurly has developed a random forest model for its payment processing products which predicts the best day to retry processing a payment for a subscription that has been declined. Recurly claims it can recover 70% of failed payments on average.