Case Study: Philippine electric utility Manila Electric Company (Meralco) virtualizes for flexibility, cost-efficient scalability, and agility using the Intel® Xeon® processor E7 family, transforming its aging data center into a strategic asset.
IT performance report: How IT is delivering value to Intel through innovations in social, mobile, analytics, cloud, and the Internet of Things. These innovations at Intel are improving productivity, efficiency, time to market, and profitability.
Case Study: DHCS virtualizes on Intel® Xeon® processor E7-4800 product family, achieving 100-to-1 data center consolidation for reduced energy, TCO.
Case Study: California Department of Healthcare Services virtualizes on Intel® Xeon® processor E7-4800 product family, achieving 100-to-1 data center consolidation for reduced power consumption and TCO.
Peer Research: Intel’s IT manager survey on how organizations are approaching mission-critical application migration.
Insights from an Intel IT Center survey of 200 IT managers on how they’re approaching data center modernization and moving mission-critical workloads from RISC/UNIX* systems to Intel-based architecture running Linux* or Windows* operating systems.
Case Study: Gap migrates its RISC environment to Intel®-based servers, reducing costs and speeding app deployment for greater service delivery.
Case Study: Gap Inc. migrates from a RISC environment to Intel® Xeon® processor-based industry-standard servers, reducing data center footprint and costs and speeding app deployment for greater service delivery.
D&D Distribution Builds Custom Storage Solutions with the Intel® Xeon® Processors and Intel® Solid-State Drives
D&D Distribution Builds Custom Storage Solutions with the Intel® Xeon® Processor E3 and E5 Families Plus Intel® Solid-State Drives
Intel IT’s context-aware recommender system (CARS) addresses big data predictive analytics challenges.
Intel IT has developed a context-aware recommender system (CARS) to address big data predictive analytics challenges involving expanding data warehouses, constantly changing contextual parameters, and fast response times.