KMWorld Cover

June 2017 [Volume 26, Issue 6]

Features

KM and the environment: Water management uses analytics, big data and collaboration to handle complexity.

The goal was to create a decision support system that would integrate data from multiple sources, including weather predictions and sensors that measure water quality.

Real-time digital behavior tracking—The political impact of social media

A review of the past three presidential elections indicates the power of social media in contemporary American politics. Abundant social media channels function as among the most consistently revealing sources of big data analytics and are the vehicle through which the political—and democratic—process manifests in the country today.

ECM, at your service!

There was a time when just getting control of enterprise content was a big achievement—knowing where the content was, being able to search a central repository, identifying the latest version of a document and so on. Even now, that control cannot be taken for granted. Many organizations struggle to manage content that is scattered across multiple devices, departments and SharePoint sites

KM 3.0: KM AND AI

KM and AI can help organizations make better decisions by the real-time combination of knowledge, experience and data insights.

COLUMNS:

David Weinberger

Perspective on knowledge: Deep learning and ignorance

Knowledge is always the surface of a deep pool of ignorance. This is for at least two reasons.

The Future of the Future

No more excuses

All you need is an idea, an internet connection and some experienced guidance and mentoring.

Cognitive Computing

What do we mean by a cognitive computing application?

But what is a cognitive computing application exactly? Would you know one if you saw one? And would you have a reasonably intelligent way to differentiate a cognitive application from the applications we are familiar with in this early cloud/big data period?

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