AI, Robotics, and Cognitive Computing Are Changing Business Faster Than You Thought

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As I think back about our research this last year, and all we have learned, I leave you with one simple message. All the changes we discuss are no longer "interesting" or "informative" – they have become real, and essential mandates for the future. We decided to call them "rules" because we believe they are now clear, and we want you to understand them so you can experience greater levels of productivity, performance, and employee excitement in your company. As always we look forward to explaining the Global Human Capital Trends to you in person this year, and hope to hear your comments and feedback as we all learn how to build the thriving organizations of the future.


AI, Robotics, and Cognitive Computing Are Changing Business Faster Than You Thought

#artificialintelligence

As I think back about our research this last year, and all we have learned, I leave you with one simple message. All the changes we discuss are no longer "interesting" or "informative" – they have become real, and essential mandates for the future. We decided to call them "rules" because we believe they are now clear, and we want you to understand them so you can experience greater levels of productivity, performance, and employee excitement in your company. As always we look forward to explaining the Global Human Capital Trends to you in person this year, and hope to hear your comments and feedback as we all learn how to build the thriving organizations of the future. About the Author: Josh Bersin is the founder and Principal of Bersin by Deloitte, Deloitte Consulting LLP, a leading research and advisory firm focused on corporate leadership, talent, learning, and the intersection between work and life. Josh is a published author on Forbes, a LinkedIn Influencer, and has appeared on Bloomberg, NPR, and the Wall Street Journal, and speaks at industry conferences and to corporate HR departments around the world.


Emotion Recognition Technology Leverages AI to Enhance Human Communications

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Human beings are social animals. As part of our neural wiring, humans assess each other's emotional cues on a subconscious level without realizing it. However, some people, such as individuals with autism, have more trouble interpreting these cues. Some cues are difficult for everyone to read. Other cues are even intentionally misleading.


IBM Watson CTO on What's Ahead for Cognitive Computing

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After close to twenty years at IBM, where he began as an IBM Fellow and Chief Architect for the SOA Foundation, Rob High has developed a number of core technologies that back Big Blue's enterprise systems, including the suite of tools behind IBM WebSphere, and more recently, those that support the wide-ranging ambitions of the Watson cognitive computing platform. Although High gave the second day keynote this afternoon at the GPU Technology Conference, there was no mention of accelerated computing. Interestingly, while the talk was about software, specifically the machine learning behind Watson, there was also very little about the software underpinnings. Disappointing as this might have been for the hardware-oriented folks in the crowd hoping to understand how OpenPower Foundation-spurred efforts using GPU-backed, Power-based systems make Watson's gears turn (we can fairly assume that is the case), High did provide a summary of Watson's evolution since 2011 as well as a look ahead at what the Watson research teams are looking to next. High says he is frequently asked what about the differences between AI and cognitive computing, noting that while they aren't much different conceptually, the goal of the Watson team is far more about making humans better at what they do than recreating the human brain in machine form.


The AI Update, from RE•WORK

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The worlds of AI, Deep Learning and Machine Intelligence are rapidly evolving and it's hard to keep up! To help you get up-to-date we've rounded up the latest must-see AI news, interviews and videos. RE•WORK Blogs Neural Attention: Machine Learning Meets Neuroscience Neural attention has been applied successfully to a variety of different applications including NLP, vision, and memory. We spoke to Brian Cheung, from UC Berkeley & Google Brain, to learn more about the intersection of neuroscience and machine learning. Machine Intelligence Is Transforming Genomics & Precision Medicine New applications for deep learning are rapidly emerging, with healthcare often touted as the industry to be most disrupted by AI.