Category Archives: Information Management Thought Leadership

Information Management Thought Leadership peices discuss the state of the IM space, its definition, direction or attributes of IM solutions as well as the companies or individuals that are affected.

Dell – The Privatization Advantage

The privatization of Dell Inc. closes a number of chapters for the company and puts it more firmly on a different course. The Dell of yesterday was primarily a consumer company with a commercial business, both with a transactional model. The new Dell is planned to be a commercial-oriented company with an interest in the consumer space. The commercial side of Dell will attempt to be relationship driven while the consumer side will retain its transactional model. The company has some solid products, channels, market share, and financials that can carry the company through the transition. However, it will take years before the new model is firmly in place and adopted by its employees and channels and competitors will not be sitting idly by. IT executives should expect Dell to pull through this and therefore should take advantage of the Dell business model and transitional opportunities as they arise. Continue reading

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Flash Memory Summit 2013 Reveals Future of NAND Flash, Predicts the End of Hard Disk Drives

In the relatively short and fast-paced history of data storage, the buzz around NAND Flash has never been louder, the product innovation from manufacturers and solution providers never more electric. Thanks to mega-computing trends, including analytics, big data, cloud and mobile computing, along with software-defined storage and the consumerization of IT, the demand for faster, cheaper, more reliable, manageable, higher capacity and more compact Flash has never been greater. But how long will the party last? Continue reading

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Is Health Advocacy the Next Great Challenge for Watson in Healthcare?

Watson is growing up. And like a child nurtured by parents with extremely high expectations, IBM’s cognitive computing offspring, better known as Watson, is undoubtedly destined for greater achievements than playing Jeopardy! or helping investment bankers get even richer – despite the fact that most modern-day human beings can’t help being drawn into playing engaging, competitive computer-aided or generated games and lots of us want to make as much money as possible, with or without the assistance of silicon-based intelligence.

Still, one can’t help but imagine what Watson progenitors, with assistance from industry partners, can gen up in the various IBM development labs across the globe. For instance, is it possible that Watson can be “educated” to help solve the financial ills of our bloated healthcare system here in the U.S. and perhaps even contribute to improving health outcomes? Continue reading

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Why Six Republican U.S. Senators are Right, and Wrong, about HITECH and EHR Interoperability

A whitepaper published by six Republican U.S. Senators brings up several valid points about lack of interoperability, potential misuse of funds and fraud, issues with security and long term program viability, a lack of oversight and a rush to move smaller less well funded healthcare providers through Healthcare IT adoption requirements to qualify for ObamaCare meaningful use dollars. However, the paper fails to produce any viable suggestions to improve on what CMS and the ONC have so far put in place. This post makes several practical, cost effective suggestions for improving interoperability at the provider level first. Continue reading

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Real-time Analytics and the Role of the Individual: Major Themes at GigaOM Big Data Event

To be human and living in the 21st century is to rely on data, whether it is generated organically through some miracle of neurotransmission or produced by some electronic device. The most ardent technophiles among us believe – and they may be right – that for every problem in life there exists an electronically enhanced solution. Both people and computers need data to make decisions, and the collection, managing and parsing of that data along with the symbiotic relationship that exists between man and machine is what makes the big data space so compelling as well as complex. Continue reading

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