Sharpe Engineering Inc.
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Jim Sharpe

As the president of Sharpe Engineering Inc, a software engineering company based in Mt. Crested Butte, Colorado, I specialize in the application of advanced technologies to address complex problem spaces. Most of our recent work has been to address "drowning in data" situations by leveraging the IBM InfoSphere Streams platform.

What we do:

Sharpe Engineering provides a variety of consulting services related to real time big data analytics for situational awareness and resource management. In particular we focus on the effective combination of a number technologies and methods to address challenges that are beyond the capabilities of traditional approaches. Key aspects include:

  • Real-time Stream Processing to collect and process a wide range of explicit contextual information
  • Real-time Natural Language and A/V processing to accommodate unstructured data sources
  • Semantic analysis to produce implicit knowledge and “connect the dots”

Our Value Add:

Sharpe Engineering leverags a deep understanding of the unique strengths of the InfoSphere Streams platform to provide guidance on its effective application in a wide range of problem spaces. We can help you get the most out of the inherent features of the platform and raise the bar on the kinds of challenges you can address.

We enhance the basic stream processing paradigm through a combination of methods that incorporate metadata, information provenance, confidence values, and various domain specific and general purpose modular toolkits.

Our approach integrates enterprise class, web scale semantic processing with the stream processing platform to produce “better knowledge faster”. In order to derive actionable information, simply having the data and the platform is not enough. Although they are key enablers, it’s what you do with them that matters.

Capability Ceiling

Much of the data being produced today is being underutilized. The knowledge it contains is either not being recognized or not producing actionable insights.  Effectively processing the ever increasing volumes of data requires not just one technique but rather a cohesive capability that combines fusion (bottom up analysis), resource management (top town analysis), and data mining (both a priori and predictive methods), with human interaction.  To that list we also add a common semantic model, metadata enhanced communication, and an execution platform that is capable, performant, distributed, scalable, and agile.  Our term for this comprehensive collection of concepts is a "unified processing paradigm" (UPP).  This combination of concepts results in a solution that is not so much a silver bullet, as an agile technology for incrementally addressing complex problems in an evolving world.

Analytical Stack

2010 Air Force IT Conference "Drowning in Data" presentation slides


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