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"Here we present four specific approaches to the creation of what we call digital "hives"-electronic hubs bristling with collective activity and designed to solve a particular problem or set of problems, to drive new habits, and to encourage organizational change (exhibit). Digital tools to facilitate networking and collaboration propel these "horizontal" cascades, which at their best can weave new patterns of engagement across geographic and other organizational boundaries. In this way, they make it possible to have new conversations around problem solving, unlock previously tacit knowledge, and speed up execution. "

Presentation by Ingrid Koehler of LGID on tools for digital learning. From Knowledge Hub conference 01/03/2011

"The Time and Bits: Managing Digital Continuity meeting held at the Getty Center on Feb 8-10, 01998 produced some remarkable insights into the future uses of digital technologies and their impact on the documentation of cultural heritage (see press clippings for summary detail). We will be posting transcripts, images, and video clips from the meeting here in coming days. If you are interested in registering to take part in on-line discussions please do so at the Time & Bits Discussion section of this site."

"Apple's long-rumored augmented reality headset will have virtual reality capabilities built in, too. It's codenamed T288, and it's currently scheduled to be released in 2020. While Augmented Reality, or AR, maps digital objects onto the real world, Virtual Reality, or VR, immerses users entirely in a digitally-generated environment."

"The Digital Universe Grows, and So Does The Digital Cemetery"

"The company of the future - and indeed the company of the present - needs new instruments to adapt to a changing reality. The new generation of digital natives is progressively being incorporated to the world of work. We are talking about a generation that has lived most of its life within the technological revolution that has occurred in the last two decades. It has connected people, who spend more time on the Internet than in front of the television and who have lived with the emergence of video games. It is not to judge whether that is good or bad, it's simply real and nothing will change it."

Looking at the HiSocial offering, I can't help but wonder about unintended consequences. The digital natives are savvy and will naturally find ways of 'gaming' the system. If you simple reward actions such as visiting intranet pages or 'downloading corporate material', you are in no way increasing the sum total knowledge, helping efficiency or decision making. What's needed is reward that stimulates participation and qualitative contribution, not just transactions.

Social media is having an increasingly pervasive influence on both personal and professional life. But there is still widespread ignorance about the risks associated with using it. The Snowden revelations gave us the first insight into how our personal data is being "harvested" by both companies and governments, and not all of it for benign purposes. This (preliminary) declaration of digital human rights is something that perhaps we should all give serious consideration to supporting.

Following last weeks KIN Roundtable on Knowledge Assets, Steve Robson of Lloyds Register has shared the following amazing digital docs (you will need Flash enabled on your computer).I can't imagine the development and effort that went into these.iPad optimised no doubt!

Excellent blog on how the West can learn from innovations in developing countries. This may use digital media as an example, but the principle must surely apply to solution finding and innovation in many contexts.

A recent MIT study found that in one organization the employees with the most extensive personal digital networks were 7% more productive than their colleagues - so Wikis and Web 2.0 tools may indeed improve productivity. In the same organization, however, the employees with the most cohesive face-to-face networks were 30% more productive.

"Innovations in digitization, analytics, artificial intelligence, and automation are creating performance and productivity opportunities for business and the economy, even as they reshape employment and the future of work."

Installing thousands of bots has taken a lot longer and is more complex than most had hoped it would be. The 'robotics evolution' had stalled where companies try to scale the localised proofs of concept. #ai

How the digital age is changing the way we tell stories. A community to explore the Future of Storytelling

Stop swearing at Siri. Quit cursing Cortana. As digital devices grow smarter, being beastly toward bots could cost you your job.

n today's digital era, governments across the globe are amassing larger amounts of data than ever before. Some of this is structured data such as census records, phone numbers, addresses, and any information that can easily be entered into a database or spreadsheet. And some of it is unstructured data, or harder-to-analyze information such as emails, documents, web pages, photos, and videos.

Corporate leadership is already struggling to keep up with the connected workforce and increasing speed and complexity in the digital economy. But looking ahead to the rise of algorithmic and human-machine co-working, the situation is even more worrying. A reboot is overdue.

These scenarios describe two predictions in what will be an algorithmic and smart machine driven world where people and machines must define harmonious relationships.

To fully benefit from new business technology, CIOs need to adapt their traditional IT functions to the opportunities and challenges of emerging technology "ecosystems." Here's how it's done.

Google Search itself provides one of the most familiar examples of predictive intelligence. When you enter keywords in the search box, Google predicts what you are interested in and then presents you with results that match that intent. Since it released the first version of its Prediction API in 2010, Google has made some of these methods available to developers. Adoption among developers has not been high because machine learning requires a lot of infrastructure and validation to produce accurate results. Developers have also reported discomfort with basing products on black box APIs.

When managers say they are data driven and ROI focused they are usually more intent on professing a belief than delivering results. They are, essentially, accidental theorists, putting their faith in an abstract idea rather than engaging in any true analysis of cause and effect. Despite what many will tell you, numbers can lie and only fools follow them blindly.