Operationalizing real-time ML and DL with GigaSpaces, Intel Analytics Zoo, and Optane DC Persistent Memory
Yoav Einav and Vin Costello explain how to achieve faster analytical processing, leveraging in-memory performance for the cost of flash with persistent memory (~300% faster than SSD); smarter insights at optimized TCO, scaling the speed layer capacity for smarter real-time analytics with 7x lower footprint); and Agile automation of your ML and DL model CI/CD pipeline, for faster time to market.
| Talk Title | Operationalizing real-time ML and DL with GigaSpaces, Intel Analytics Zoo, and Optane DC Persistent Memory |
| Speakers | Yoav Einav (GigaSpaces) |
| Conference | O’Reilly Artificial Intelligence Conference |
| Conf Tag | Put AI to Work |
| Location | New York, New York |
| Date | April 16-18, 2019 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
The faster and smarter we process and analyze data, the more relevant and meaningful the insights and the higher the profits. Just having data is no longer useful, and traditional ways of thinking about analytics no longer apply. To drive business impact, it’s important to analyze your time-sensitive data in the moment for efficient operations, regulatory compliance, and enhanced customer experience. In fact, real-time data processing and advanced analytics are becoming a necessity. GigaSpaces InsightEdge, an in-memory real-time analytics software platform, is powering faster transactional and analytical processing. Yoav Einav and Vin Costello demonstrate how the software platform leverages Intel’s Analytics Zoo and Intel Optane DC Persistent Memory to operationalize real-time ML and DL for real-time stock price prediction based on sentiment analysis.
