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Phil Ridout

How the Bank Learns - YouTube - 0 views

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    During this innovative event, World Bank explores an internal report about 'How the Bank learns' allowing the audience to vote in real time on the top topics they want to explore using 'Poll everywhere'. We will be using this tool at the Autumn workshop.The Bank shares some thought provoking ideas on 'fast and slow thinking' and where individuals look for knowledge (video -12.15-15.15) as well as allowing participants to vote on a number of provocative statements on a five point scale, to decide choose five topics for discussion with the panel e.g. 'Drink more coffee', 'Learning from failure' and 'Taking time to reflect' (Poll results 27.30 - 30.30). Culminating in the panel discussion on the chosen topic areas including 'live questions' as the discussion develops (Panel discussion 30.30 - 1:14:00).The session is wrapped up with a final vote on the whole event (1:21:00)
Stephen Dale

Social Collaboration Mediated Knowledge Management - 0 views

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    Probably not new to the Km "old timers", but if you haven't come across the SECI model that was developed by Ikujiro Nonaka and Hirotaka Takeuchi in 1996, then worth a read. devised the SECI model in 1996. Often referred to as the "knowledge spiral," SECI stands for Socialization, Externalization, Combination and Internalization, and is heavily featured in the KM Institute's "Knowledge Manager Certification" programme.
Stephen Dale

Artificial Intelligence Risk - 12 Researchers Weigh in on the Danger's of Smarter Machines - 0 views

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    In line with fears often read about in the media, both anti-killer robot activist Dr. Sharkey and Brandeis University's Dr. Michael Bukatin believe that autonomous machines, either superintelligences fighting themselves and obliterating us in the process or rampant autonomous armed conflict, pose a legitimate threat. Another thought is that AI aren't evil (and never will be); instead, it's the humans behind the AI that are unpredictable and often untrustworthy, with short-sighted aims such as financial and political gains. Dr. Michael Shermer sees the likeliest risk of near-future AI in the near future involving "evil humans manipulating AI toward their ends, not evil AI itself, as no such thing will develop."
Stephen Dale

Facebook And Apple Are Serious About Augmented Reality - 0 views

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    "When Facebook and Apple make extraordinary investments in new technology like they are with augmented reality, you know it's something to pay attention to. Both companies have made it clear recently that they are committed to developing, testing and implementing augmented reality technology"
Stephen Dale

PwC unveils new virtual reality experience to help organisations navigate disruption - 0 views

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    "PwC has developed a virtual reality (VR) experience for its clients, allowing them to explore and better understand the range of potential future disruptions that could impact their organisation."
Stephen Dale

Are you ready for blockchain? | Thomson Reuters - 0 views

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    "Some of the most promising blockchain use cases currently in development include financial instrument and trade identification, data delivery, payment systems, land registration, contract law, and even identity verification."
Stephen Dale

Google Researchers Have Developed an Augmented Reality Microscope for Detecti... - 1 views

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    "Augmented reality might not be able to cure cancer (yet), but when combined with a machine learning algorithm, it can help doctors diagnose the disease."
Stephen Dale

Learn with Google AI - Google.ai - 1 views

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    "Whether you're just learning to code or you're a seasoned machine learning practitioner, you'll find information and exercises in this resource center to help you develop your skills and advance your projects."
Stephen Dale

Artificial intelligence is not as smart as you (or Elon Musk) think | TechCrunch - 0 views

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    AI is (currently) very good at specialist/single tasks that require brute force computational effort or training algorithms, but we are a long way from developing generalised AI, that requires some form of unsupervised deep learning. There are many things that humans understand but are well beyond the reach of AI, and this will remain the case for many years to come - if it ever happens.
Stephen Dale

The 'Godfather of AI' on making machines clever and whether robots really will learn to... - 0 views

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    British professor Geoffrey Hinton says that humans should not fear the growing intelligence of machines, but the development of military robots should be a concern.
Stephen Dale

Machine learning, artificial intelligence and robo-advisers: The future of finance - 1 views

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    The application of AI to the development of smarter robo-advisers offers a dichotomy of hope or fear that it could yield 'intelligent' and cost-effective investment management advice.
chriswilsonkin

Macmillan Research Showcase - 1 views

shared by chriswilsonkin on 02 Dec 16 - No Cached
Gary Colet liked it
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    The Macmillan Research Showcase was the first, full-day evidence specific conference developed and produced by Macmillan. Watch this video of the inspiring and immersive exhibition highlighting the breadth of our research throughout the cancer journey including views about the day from participants, the organisers, and a patient voice.
Gary Colet

Why Facts Don't Change Our Minds - The New Yorker - 0 views

  • In a study conducted at Yale, graduate students were asked to rate their understanding of everyday devices, including toilets, zippers, and cylinder locks. They were then asked to write detailed, step-by-step explanations of how the devices work, and to rate their understanding again. Apparently, the effort revealed to the students their own ignorance, because their self-assessments dropped. (Toilets, it turns out, are more complicated than they appear.) Sloman and Fernbach see this effect, which they call the “illusion of explanatory depth,” just about everywhere. People believe that they know way more than they actually do. What allows us to persist in this belief is other people. In the case of my toilet, someone else designed it so that I can operate it easily. This is something humans are very good at. We’ve been relying on one another’s expertise ever since we figured out how to hunt together, which was probably a key development in our evolutionary history. So well do we collaborate, Sloman and Fernbach argue, that we can hardly tell where our own understanding ends and others’ begins. “One implication of the naturalness with which we divide cognitive labor,” they write, is that there’s “no sharp boundary between one person’s ideas and knowledge” and “those of other members” of the group.
  • ween one person’s ideas and knowledge” and “those of other members” of the group.
  • ween one person’s ideas and knowledge” and “those of other members” of the group.
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  • ween one person’s ideas and knowledge” and “those of other members” of the group.
Gary Colet

SerenA | chance encounters in the space of ideas - 1 views

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    How much does serendipity play in the sharing of ideas and developing new insights in organisations? KIN is going to talk to the SerenA project to find out.
Gary Colet

Does Knowledge Management Need A Maturity Model? | Knowledge Matters - 2 views

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    Capability maturity models have been around for a while in other disciplines, most notably in software development projects. Almost all of the models owe their origins to the collaboration between the US Department of Defense and the Software Engineering Institute of Carnegie Mellon University. The Capability Maturity Model was originally a tool to assess processes - in particular the processes of a contracted third party. In that sense its intent was to reduce risk.
Phil Ridout

TVA: Knowledge Retention - 3 views

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    Preventing valuable knowledge from walking out the doorLike many other companies, TVA is facing the imminent retirement of a large percentage of its work force-an estimated 30 to 40 percent of employees will retire over the next five years. These experienced employees possess much unique, undocumented knowledge.  Many of them literally built the plants and facilities that they now operate and maintain.
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    TVA were the pioneers for knowledge retention. The original presentation to their board was back in 1998. Most other KRT programmes, including M&S and KIN can trace their origins back to this original work by Andy Wright, a senior manager in Leadership Development at TVA.
Phil Ridout

Twitter for KM & Network Development - KIN Forums - 0 views

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    Discussion thread about Twitter
Stephen Dale

Wolfram Alpha's API is Free, But is it Open? - 0 views

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    Stephen Wolfram and his team have created an astonishingly powerful collection of information. As he puts it on the Wolfram blog, the dream is to make this "computable knowledge" available to immediately enhance any program that's connected to the service. Today's announcement is a big step forward to opening it up to far more developers, but it will need much more computer-readable results before it will really fulfill that promise. Do you agree, or am I misunderstanding the power of the API as it is right now? Are there existing applications beyond the handful that Wolfram highlight?
Stephen Dale

Kazendi - Europe's Leading Mixed Reality Development Studio - 0 views

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    HoloMeeting allows you to collaborate by sharing, viewing and amending 3D models (e.g Revit), documents (e.g. PDFs) and collaborate (e.g. freehand draw, whiteboard, etc.). In addition, you can share your camera and use it for remote assistance/maintenance.
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