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At HP Labs, we are building " Live Operational Intelligence (Live OI) System " – a system that ingests streams of operational data generated by multiple sources such as sensors and operational logs, and provides the operational staff real time insights in terms of suggested actions, event correlations, predictions, root cause analysis and visualization. In(More)
Today's large data centers are the computational hubs of the next generation of IT services. With the advent of dynamic smart cooling and rack level sensing, the need for visual data exploration is growing. If administrators know the rack level thermal state changes and catch problems in real-time, energy consumption can be greatly reduced. In this paper,(More)
Shale oil and gas have become very promising unconventional energies in recent years. To optimize operations in oil and gas production, a reservoir model is important for understanding the subsurface appropriately. Generally, sensor data, such as surface seismic data, are most popular data sources in modeling the reservoir with either a numerical simulation(More)
In this paper, we present our Live Operational Intelligence (LOI) framework for developing, deploying, and executing applications that mine and analyze large amounts of data collected from multiple data sources to help operations staff take more informed decisions during management of operations in various industry verticals. We illustrate the use of the(More)
In the shale oil & gas industry, operators are looking toward big data and new analytics tools and techniques to optimize operations and reduce cost. Formation evaluation is one of the most crucial steps before the fracturing operation. To assist engineers in understanding the subsurface and in turn make optimal operations, we focus on learning semantic(More)
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