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Stephen Dale

Taking the measure of the networked enterprise | McKinsey & Company - 0 views

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    Strong evidence indicates that imitation and innovation have been driving the spread of Enterprise 2.0 tools. Using modeing techniques,McKinsey found that 35 percent of the companies had adopted social technologies in response to their adoption by competitors.
Stephen Dale

Center for Evidence-Based Management - 0 views

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    The Center for Evidence-Based Management (CEBMa) is a non-profit member organization dedicated to promoting evidence-based practice in the field of management. We provide support and resources to managers, consultants, organizations, teachers, academics and others interested in learning more about evidence-based management.
Stephen Dale

GKIM Skills Framework | CILIP - 0 views

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    The GKIM Professional Skills Framework has been revised and was relaunched at the GKIM conference in April.
Stephen Dale

What It Takes To Be Human (Paid Post by UBS From The New York Times) - 1 views

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    This is a journey to explore the latest innovations in AI and, most importantly, its human element, to ultimately answer the controversial questions: What physical human characteristics and emotions must a robot have to make people react to it? And, obversely, Can AI recognize human emotions?
Stephen Dale

Knowledge Management Tools - 1 views

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    This is a knowledge management site covering the theories, frameworks, models, tools, and supporting disciplines that are relevant to both the student and the practitioner.
Stephen Dale

Recipe for a good YamJam | digitalworkplace - 0 views

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    YamJam is the name used by many Yammer networks to define a focused online discussion, where a group of people get together at the same time to share ideas, questions and views usually on a single topic. YamJams can broadly be considered like online press conferences with everyone having a voice.
Stephen Dale

Why AI won't replace all human data analysts | VentureBeat | AI | by David Crawford, Al... - 1 views

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    While AI is a master of pattern recognition, algorithms can only operate on parts of the world that humans can precisely describe to it.
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