Framework: The role of Humans in the Future of Work

Framework: The role of Humans in the Future of Work | #Analytics #Artificialintelligence #RT

  • For the last years in addressing the future of work I have often focused on the human capabilities that will drive value as machines become more capable and the work landscape is transformed.
  • To help define and clarify these capabilities I created a landscape on the role of Humans in the Future of Work, which I first shared publicly in my keynote yesterday.
  • This framework overlaps and builds on my Future of Work Framework, specifically building out the distinctive human capabilities that will be relevant and valued as the work landscape is transformed.
  • I have spoken and written before about the three fundamental human capabilities for the future of work: EXPERTISE, RELATIONSHIPS and CREATIVITY.
  • Recognizing these distinctive human capabilities allows us to design work, organizations and education to use and develop these capabilities to best effect.

For the last years in addressing the future of work I have often focused on the human capabilities that will drive value as machines become more capable and the work landscape is transformed.
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2017 and Beyond: How Digital Innovation Will Impact the World

How #Digital #Innovation Will Impact the World  #blockchain #BigData #AR #VR #IoT #ML #DL #AI

  • Recently Gartner, Inc., revealed its top predictions for IT organizations and users for 2017 and beyond, focusing on three fundamental effects of continued digital innovation: experience and engagement, business innovation, and the secondary effects that result from increased digital capabilities.
  • “Gartner’s top strategic predictions continue to offer a provocative look at what might happen in some of the most critical areas of technology evolution.
  • At the core of future outcomes is the notion of digital disruption, which has moved from an infrequent inconvenience to a consistent stream of change that is redefining markets and entire industries,” said Daryl Plummer, managing vice president, chief of research and Gartner Fellow.
  • “Last year, we said digital changes were coming fast.
  • In this slideshow, Gartner has outlined the top predictions for IT organizations and users for 2017 and beyond.

Digital innovation is by far the biggest influencer, changing the way we do everything, from shopping to communication to running a business.
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CoRL2017

New Robot Learning Conference in Silicon Valley.  #robotics #ai #deeplearning #nips2016

  • The Conference on Robot Learning (CoRL) is a new event aiming to bring together approximately 250 of the best researchers at the intersection of robotics and machine learning.
  • Now is the time to dedicate a venue that will combine fundamental advances in machine learning with an empirical exploration of robotics applications and theory.
  • The fields of robotics, autonomous perception and control are undergoing a machine learning revolution.
  • It will be held in Mountain View, California November 13 – 15, 2017.
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This Week in Machine Learning, 30 September 2016 – Udacity Inc – Medium

This Week in #MachineLearning, 30 September 2016. #BigData #DataScience #AI

  • Machine Learning is one of the most exciting fields in the world.
  • That’s why we created This Week in Machine Learning!
  • Each week we publish a curated list of Machine Learning stories as a resource to help you keep pace with all these exciting developments.
  • Google opens up its Cloud Machine Learning platform to an open public beta , along with their Machine Learning Advanced Solutions Lab to give access to Google engineers.
  • Mountain View-based cybersecurity company Shape Security secures $40 million in Series D funding to use machine learning to address real-time threats.

This week’s top Machine Learning stories, featuring a 40% increase in US productivity by 2035 thanks to artificial intelligence!
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