AI Predicts Heart Disease with Single X-Ray
Researchers have known for a long time that more information was available through X-ray data but lacked a reliable method for analyzing it in a way that …
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.
Researchers have known for a long time that more information was available through X-ray data but lacked a reliable method for analyzing it in a way that …
For product-led growth to be successful, the entire company must change – from processes and practices to culture, skill sets, and how you measure success.
Retailers are using end-to-end return management systems to successfully execute reverse logistics and grow brand loyalty amid the busy holiday shopping
The key to achieving Industry 4.0 success is data democratization, which provides broad accessibility to data and corresponding analytics
Utilities modernizing their operations need 5G and edge processing to help make sense of and reduce the large volumes of data generated by IoT and other smart …
This initiative comes as the MTA prepares for a predicted multibillion-dollar shortfall in the coming years, thanks to pandemic
The success of IoT depends on the effective deployment of a wide range of technologies, including real-time edge, cloud data infrastructure, and AI/ML …
With open banking, each data element can be exposed as an API. The process is infinitely more efficient than other data access and sharing methods and has a …
Businesses should optimize their cloud architectures to deliver the continuous analytics that are fundamental to ongoing operational efficiency and commercial …
Digital twins can revolutionize and rapidly speed up the product development process, reducing the time to market. They also allow for rapid iterations and …