As organizations seek to deliver new applications and services, they often also need highly scalable and lightning-fast data management platforms to support these innovations. For instance, some new applications work against millions or billions of rows of data and require a response time in milliseconds. These might include financial services applications that need to process transactions with sub-millisecond response rates and be globally available.
What does it take to support new and innovative applications? Watch this webinar to hear from TDWI’s VP of Research, Fern Halper, together with representatives from Redis and Ekata as they discuss one such use case— supporting the Ekata smart identity verification solution to detect fraud. You will learn the following:
- Trends and use cases for scalable, low-latency data platforms
- How Ekata built an identity verification platform using in-memory Redis Enterprise database on AWS
- Important considerations and lessons learned from Ekata
Stop testing, start deploying your AI apps. See how with MIT Technology Review’s latest research.
