ken clipperton

Ken Clipperton

LEAD Analyst for Storage

Ken Clipperton is the Lead Analyst for Storage at DCIG. Ken brings more than 20 years of information technology leadership to his current role. Prior roles include server administrator, systems analyst, and then information technology director at a series of three private colleges and universities. Ken has served on multiple corporate advisory boards, state-wide technology commissions, national user group boards, and presented at many national and regional technology conferences.

Throughout his career, Ken has specialized in evaluating and implementing innovative technologies to address operational, tactical and strategic business priorities. For example, Ken was a key leader in the creation of the world’s first comprehensive wireless community at Buena Vista University–a project called eBVyou–that became a national model and drew visiting teams from hundreds of colleges, universities and K-12 school districts.

Ken earned his MBA in Management Information Systems from Metropolitan State University, St. Paul, MN and a BA in History from Crown College.

Latest Posts By Ken Clipperton

chart of the new memory pyramid -

Network Entropy is Decomposing Memory

The article title, “Network Entropy is Decomposing Memory” may call up ghoulish images from a B-Horror movie, but it shouldn’t. It refers to a positive dynamic described by Rob Gingell, former chief engineer at Sun Microsystems. He said that, “Over time networks have this property of wanting to decompose things into constituent parts, have those parts get specialized and then reintegrated.”

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chart of recent ransomware attack quotes

It is Time to Demand More from Infrastructure Providers

Ransomware attacks are escalating in terms of frequency, variety, and impact. Based on reliable information sources, it is reasonable for every organization to expect it will experience multiple attempted ransomware attacks in the next twelve months. Given this threat environment, it is time to demand more from infrastructure providers.

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7 Storage Considerations for Enterprise AI

Until recently, data-intensive analytic workloads were mostly the domain of large-scale research and educational institutions. However, many commercial enterprises are now adopting these AI-driven workloads to enhance the value of their business data. As organizations embrace these workloads they should be aware of 7 storage considerations for enterprise AI.

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