A Data Hub Architecture built on Intel® technologies can process multiple data formats in real time to deliver immediate analytics and insights, helping businesses quickly react to—and even predict—outcomes for improved decision making
Learn how the Intel® Xeon® processor E7 v4 family can help get you on the path to advanced analytics for real-time decisions.
Learn how the Intel® Xeon® processor E7 v4 family can help you find ways to extract rapid, actionable insights from growing volumes of data so you can make real-time decisions.
Turn real-time analytics into business intelligence with the Intel® Xeon® processor E7 v4 family with in-memory analytics to maximize performance.
Intel’s Chief Data Scientist for Big Data Solutions discusses the power of asking questions when conducting an analytics maturity assessment.
The International Institute for Analytics (IIA) talked with Bob Rogers, Intel’s Chief Data Scientist, about the power of asking questions when performing an analytics maturity assessment. The discussion provides practical advice for all enterprises.
Intel describes workload-driven data center solutions that meet the needs of enterprise, private cloud, and high-performance computing customers.
Intel’s Lisa Graff describes workload-driven solutions based on the Intel® Xeon® processor, Intel® Atom™ processor, and Intel® Xeon Phi™ coprocessor that meet the needs of enterprise, private cloud, and high-performance computing data centers.Full View >
IT@Intel White Paper: Intel’s investment in real-time data and automation delivers increasingly complex and higher quality products.
IT@Intel White Paper: Factory management has evolved to provide competitive advantages through highly sophisticated automation, or smart manufacturing. Factories now use edge computing and IoT to enable automated control systems with real-time data.
Intel® Resource Director Technology enables monitoring and control over shared processor resources, improved consolidation density and reduced TCO.
Intel® RDT enables monitoring and control over shared processor resources, enabling detection and control of “noisy neighbors”, improved consolidation density, and reduced TCO – and functions across VMs, Containers and traditional operating systems.
University Health’s database migration to an open standards-based architecture helped lower TCO and boosts performance and flexibility.
See how, by migrating its EHR database from RISC to an open standards-based architecture, University Health is slashing total cost of ownership (TCO) while boosting performance, flexibility, and coordinated care for patients.
See how the Intel® Xeon® processor E7 family is helping University Health cut total cost of ownership (TCO) for its Epic and Caché* deployment.
See how by migrating from RISC to Dell platforms powered by the Intel® Xeon® processor E7 family, University Health expects to cut total cost of ownership (TCO) by 40 percent for its Epic and Caché* deployment, reducing costs, complexity, and risks.