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September/October 2017, Trend-Setting Products 2017 [Volume 26, Issue 8]

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Features

Each year KMWorld identifies a host of technologies that we deem "trend-setting" in the broad sphere of knowledge management. Some of the technologies fall into such "hot" categories as artificial intelligence, machine learning and the Internet of Things. Others are more tried-and-true, providing increasing functionality in enterprise collaboration and information management, text analytics and search, compliance and information governance, customer service and support, business process management and case management. Posted September 14, 2017

Current DAM technology is mature and effective, but interesting advances are also being made that incorporate geolocation, artificial intelligence (AI) and other capabilities. Posted September 14, 2017

The sheer volume of potential discovery information from the IoT will tax the technical capabilities of those responsible for that task, whether they are in-house legal departments or litigation support services. Posted September 14, 2017

The idea that the healthcare industry can study the data being created in electronic health records (EHR) to foster ongoing improvement is not a new one, but it is gaining momentum. A "learning health system" is one that commits to the use of data as a byproduct of care for continuous learning. Posted September 14, 2017

The knowledge management rigors associated with computational molecular biology and one of its most promising manifestations, genomic sequencing, are formidable. Posted September 14, 2017

One frequently overlooked benefit of complex projects is the wealth of knowledge they generate. As a project team moves a project toward completion, it constantly discovers new contextual information, better ways of doing things and less successful methods that other teams should avoid Posted September 14, 2017

News Analysis

People are at the core of knowledge sharing—the key to high-functioning organizations along with all types of thinking including design, customer-focused, creative, critical, complex and more Posted September 14, 2017

Two themes are top of mind at this stage of the new AI era: "Training data is the new ‘oil' for the AI economy," and "deep learning has left the labs and become mainstream. Posted September 14, 2017

David Weinberger

The rejection of representationalism is being hastened by the rise of new technology— machine learning—that is refuting some of our old common-sense ideas. Posted September 14, 2017

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