New Provenir Adapter adds Machine Learning to the risk analytics and decisioning toolkit for faster credit and risk decisions
Provenir today unveiled the new Provenir Adapter for Amazon Machine Learning for financial institutions seeking to add machine learning to their toolkit without the time and resources typically associated with development. The latest in Provenir’s suite of adapters automatically feeds the predictive score returned by the Amazon Machine Learning model into the risk decisioning process. The Provenir Platform then automates that process, instantly executing a pass, fail or refer result from a risk score.
Provenir Adapter Makes Machine Learning More Accessible to Lenders
“While Machine Learning has massive implications in financial services, few organisations are able to dedicate full time resources to the development of homegrown machine learning capabilities” said Larry Smith, CEO and Founder, Provenir. “The Provenir Adapter for Amazon Machine Learning makes machine learning accessible to those companies who are focused on their core businesses by eliminating the need for a dedicated expert.”
Inexperienced Developer Deploys ML Model in Less Than 20 Minutes
Smith shared an example. “With no experience in machine learning, one developer on our team was able to build and deploy a machine learning model in less than 20 minutes, operationalizing that model in the Provenir Platform in just hours. Historically, that would have taken a team of people a month to achieve.”
Visually Configurable, Real-Time, Risk Analytics
To meet customer expectations of speed, efficiency and cost, financial service providers need risk management solutions that are visual and intuitive, don’t require coding expertise or development skills to update, and are flexible enough to adapt in changing situations. This integration pairs Provenir’s visually configurable risk platform with Amazon Machine Learning for real-time, user-friendly, risk analytics and decisioning.