Noah Benedict

Director, Digital Enablement Services

Using technology to advance business

Noah uses his deep technical background to help clients embrace opportunity.  Driven as much by business impact as technology, Noah is motivated by finding the right mix of people, processes, and technologies to turn problems into opportunities for our clients.

With 20 years in consulting, Noah started in the geospatial industry and progressed to software development and enterprise architecture.

Noah and his wife are the proud parents of three children and are restoring a late-1800s Victorian house.  As a family, they enjoy the outdoors, rafting, cycling, and skiing whenever possible. Noah recently taught a class to prepare Middle School students with Denver Public Schools for the District and Regional Science and Engineering Fair.

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Noah's Insights

A stylized image of a factory which RevGen uses as a metaphor for Artificial Intelligence.
Artificial Intelligence

How the AI Factory Cuts Through the Tech Hype

The metaphor of the AI Factory is an easy way to break out the components of AI to ensure you receive tangible value from your investment in this new technology.

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A man holds a cellphone. Above it float holographic images of data visualizations driven by AI
Artificial Intelligence

How We Build Tangible Value with AI

AI is only truly helpful to organizations when it can provide real business value. That's why we focus on the results first.

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A man in a plaid shirt, shakes hands with a construction worker with his helmet tucked under his arm.
Digital Enablement

And, Not Or – How Modern Software Architectures Influence the Build vs. Buy Debate

In the past, there was a clear distinction between building custom software and implementing something “off the shelf.” Modern software architecture is changing how we decide whether to build or buy.

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Arrow blocks show how a path diverges at a decision point
Digital Enablement

Build vs. Buy: What Can We Learn from an Age-Old Debate?

For 60 years, organizations have debated building vs. buying software solutions. What can looking back on the factors that drove those decisions in decades past tell us about this debate today?

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