The massive steaming service relies on cloud services for its computing and storage needs. Its challenge: keeping this extensive network operating at peak …
Topic: Industry Insights
How various industries use real-time analytics to improve the business bottom line. We explore both physical, IoT uses (such as sensor data in manufacturing, transportation, and energy) as well as use of transactional and Web data, such as in the financial services, marketing, and customer-experience management industries.
Free guide: Download this report and and learn how artificial intelligence and cognitive science can prevent criminals from exploiting addicts for insurance …
Learn how Twitter addressed its real-time processing needs with a distributed, and fault-tolerant-stream processing
The Tumi Global Locator is designed to help you keep track of luggage and travel bags in real
In the next five to 10 years, a blockchain ecosystem with healthcare-focused use cases will
To cut power costs in half while doubling compute performance, eBay developed real-time energy optimization and best practices as part of it Project Topaz.
To verify demographics and receive insurance payments more quickly, Mohawk Ambulance moved those processes closer to real time by integrating with a …
Researchers are using AI and other deep learning methods to create an algorithm that’s capable of detecting DR with an accuracy rate of 94
Aptilo Networks says it’s possible to offload up to 30 percent of cellular data traffic to
A collaboration between Royal Philips and PathAI shows high promise in improving breast cancer diagnoses with deep learning