Video trailer of The Human Face of Big Data sponsored by Intel and SAP. Invitation to attend a premiere.
Intel uses IoT to capture real-time factory big data for faster decision making and predictions, improving performance while opening new opportunity.
Intel's manufacturing factory uses IoT to capture real-time big data between tools and systems for faster decision making, targeted response, and predictive outcomes, improving equipment performance at lower costs while opening new opportunities.Full View >
Learn how wearable medical devices are advancing Parkinson’s research through the collection and analysis of data that has never been seen before.
In a collaborative effort to speed up breakthroughs in drug development, the Michael J Fox Foundation is using Intel’s wearable medical devices to advance Parkinson’s research through collection and analysis of data that has never been seen before.Full View >
Run large, complex data on Intel® Xeon® processor E7 v4 family–based servers for accelerated in-memory analytics, scalability to rapidly manage data.
Run large, complex data on Intel® Xeon® processor E7 v2 family–based servers, delivering accelerated in-memory analytics and scalability to rapidly manage data sets of increasing size, and make business intelligence a competitive advantage.
When it comes to setting up your big data analytics architecture system, there’s no one-size-fits-all solution. Here are some key issues to consider.
When it comes to setting up your big data analytics architecture system, there’s no one-size-fits-all solution. Here are some key issues to consider. Consider these key issues to help make your project a success.
Imagine virtualizing an entire crop. Using big data in agriculture, farmers can simulate the impact of water and soil adjustments.
Imagine virtualizing an entire crop. Using big data in agriculture, farmers are using real-time data collection and computer-based analysis to increase yields, margins, and efficiencies on a massive scale.
Smart-city projects are relying on analytics and the IoT – and making data-driven decisions that lead to better ideas, decisions and results.
As urban populations grow, more smart-city projects (like London Air and Dublin Flooding) are using sensor analytics and the Internet of Things making a case for using data-driven decisions to help make cities more livable and sustainable.
Before you find yourself with more analytic projects than you can manage, establish a project prioritization process. Here’s how Intel does it.
Once your analytics work starts to show business value, you may find yourself with more project proposals than you can manage. Ideally, you’ll need to establish a project prioritization process before you get to this point. Here’s how Intel does it.