Machine learning has emerged as a truly revolutionary technology innovation across all verticals and industries; according to analyst firm IDC, spending on machine learning will grow from $12B to $57.6B by 2021.
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.
What You’ll Learn
In this webinar, we explore how intelligent real-time decisioning technology in machine learning helps you operationalize your analytics and take the next critical step in realizing your machine learning goals. Featuring a step-by-step demonstration showcasing machine learning for fraud prevention, this webinar also covers:
- The importance of machine learning in the changing data landscape
- Infrastructure requirements for machine learning
- Use cases of real-time decisioning technologies across various industries
- And more
Doug Jauregui, Senior Solutions Engineer, Volt Active Data