Risk officers and analysts across financial services companies and banks realize that risk modeling in 2020 requires better data. Even the most sophisticated machine learning models are insufficient without the most relevant risk signals pulled from external data sources.
In this webinar, we discuss:
The new challenges of risk modeling and how to increase model accuracy
An innovative strategy for controlling risk by gaining the broadest insight possible on potential lendees
The benefits of connecting to external data to accelerate results and time to market
Predictive models based on the right data are the tools you need to use in order to drive efficient growth. AI/ML capabilities continue to spread across B2B marketing, sales and…
Machine Learning can take your marketing and sales to the next level, by enabling a scalable system to help you identify your ICP, and connect with them in the way…
The adoption of machine learning in the enterprise continues to grow as businesses—hungry for automation and intelligence—strive for greater efficiency, agility, and innovation through the digital transformation of legacy processes….
