Machine Intelligence with Streaming Data Webinar
Machine Intelligence with Streaming Data
A new approach for anomaly detection and time-based learning
This webinar provides an overview of the current state of HTM, with an emphasis on the software implementation and example applications. The Q&A session at the end of the webinar answers some popular user questions.
- Christy Maver (Director of Marketing, Numenta)
- Scott Purdy (Director of Development, Numenta)
Across every industry, we are seeing an exponential increase in the availability of streaming, time-series data. The real-time detection of anomalies has significant practical application. Finding anomalies in such data can be very difficult, given the need to process data in real time, and learn while simultaneously making predictions. With the increasing variety of streaming data sources, automated deployment—without manual parameter tuning—is also becoming important.