Case Study: Big data technologies analyze doctors’ notes, helping Leeds Teaching Hospitals study trends, plan resources, and spot under-billing.
Case Study: Using big data technologies from Symphony and Two10degrees—to capture and analyze doctors’ notes on patient records—helps Leeds Teaching Hospitals study trends to plan resources and spot under-billing.
Solution Brief: Wonders Group helps Shanghai Health Bureau Information Center build a reliable, efficient, and intelligent healthcare info search and alert system with Intel® Xeon® processor E5 family, Intel® Distribution for Apache Hadoop* software.
Intel CEO Brian Krzanich discusses the importance of the Cloudera collaboration, bringing an enterprise-ready big data platform to the mainstream.
Intel CEO Brian Krzanich talks about the equity investment and importance of the technology collaboration between Intel and Cloudera Technology, bringing an enterprise-ready platform to the mainstream for impactful big data solutions.Full View >
Case Study: Carestream Health reduces management costs with an Ethernet-based datacenter that merges server and storage hardware.
Case Study: Carestream Health reduces management overhead by deploying a high-speed datacenter network based on the Intel® Ethernet 10 Gigabit Converged Network Adapter, which eliminates separate network links for server and storage hardware.
SAS CEO Jim Goodnight speaks at Analytics 2013 about SAS’s commodity hardware, such as servers, racks, blades, and their Intel® Xeon® processors.
SAS CEO Jim Goodnight speaks at Analytics 2013 Conference, discussing SAS’s commodity hardware, such as servers, racks, blades, and the Intel® Xeon® processor inside.Full View >
Solution Brief: Jinzhou City boosts new healthcare initiatives with UFIDA data management solutions based on the Intel® Xeon® processor E5-2600.
Solution Brief: Jinzhou City boosts new healthcare initiatives with UFIDA data management solutions based on the Intel® Xeon® processor E5-2600, improving service delivery through rapid data search and real-time analytics.
Genome data analysis realizes a competitive advantage for the collation of Big Data with cost-effective scalability.