Reading Time: 1 minute OECD study finds that 14% of jobs across 32 countries are highly vulnerable, defined as having at least a 70% chance...
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Research shows that 88% of us will fail in our New Year’s resolutions. Yikes.
Reading Time: 1 minute Research shows that 88% of us will fail in our New Year's resolutions. Yikes.
Read More »In 2018, 9% of US jobs will be lost to automation, partly offset by a 2% growth in jobs supporting the “automation…
Reading Time: 1 minute In 2018, 9% of US jobs will be lost to automation, partly offset by a 2% growth in jobs supporting the “automation...
Read More »“In the 1980s, 8.2% of the US workforce were employed in new technologies introduced in that decade,” he notes. “By…
Reading Time: 1 minute “In the 1980s, 8.2% of the US workforce were employed in new technologies introduced in that decade,” he notes. “By...
Read More »reddit donates 10% of ad revenues to social causes
Reading Time: 1 minute reddit donates 10% of ad revenues to social causes
Read More »Intelligent, Automated Self-Service
Reading Time: 4 minutes Automated self-service is Silicon Valley's trick for automating the service economy and for fueling machine learning and the knowledge economy.
Read More »The Nature of Sensors
Reading Time: 7 minutes As sensors and machine learning fuse, they form a critical layer in the synthesis of machine and human intelligence.
Read More »What is Engagement, Really?
Reading Time: 6 minutes Engagement is what enables organizations to coordinate external contributions of work and intelligence. It's also the future of the human-machine relationship.
Read More »New Carrots for Your Health Data
Reading Time: 3 minutes Insurance companies are experimenting with two strategies for motivating you to share your health information with them.
Read More »Who Will Win the Battle for the Smart Home?
Reading Time: 5 minutes In the end, the smart home wars will be decided by business models, and Amazon is best positioned to win.
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The Vital Edge by Gideon Rosenblatt Work, society and the human experience in an era of machine intelligence.
