Machine learning has emerged as a truly revolutionary technology innovation, particularly for the financial services industry. From risk management, to investment predictions, to fraud prevention – or simply just customer service – there are a variety of use cases where machine learning provides a competitive edge for financial institutions.
However, to confidently move your machine learning models into actual production requires the right infrastructure that allows you to perform complex analytics on streaming data in real-time, with predictable performance and low latency.
In this webinar, we explore how Volt Active Data in machine learning helps you operationalize your analytics and take the next critical step in realizing your machine learning goals. Featuring a walk-through demonstration specific to fraud prevention in financial services, this webinar also covers:
- The importance of machine learning in financial services
- Infrastructure requirements for machine learning
- Machine learning use cases for financial services
- And more
Speaker: Doug Jauregui; Senior Solutions Engineer, Volt Active Data