Human/machine : the future of our partnership with machines / Daniel Newman, Olivier Blanchard.

"Will the workplace of the future be overrun by machines and robots? Are the new frontiers of artificial intelligence (AI) on the cusp of dethroning us in efficiency, intelligence and innovative potential? Automation and AI will augment our human world and potential. The winners of the future o...

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Bibliographic Details
Online Access: Full Text (via Skillsoft)
Main Authors: Newman, Daniel (Analyst) (Author), Blanchard, Olivier, 1971- (Author)
Format: Electronic eBook
Language:English
Published: New York : Kogan Page Ltd, 2019.
Series:Kogan Page inspire.
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MARC

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100 1 |a Newman, Daniel  |c (Analyst),  |e author.  |1 https://id.oclc.org/worldcat/entity/E39PCjwGGKKX6gvqFrXPHqQDYK 
245 1 0 |a Human/machine :  |b the future of our partnership with machines /  |c Daniel Newman, Olivier Blanchard. 
264 1 |a New York :  |b Kogan Page Ltd,  |c 2019. 
300 |a 1 online resource 
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490 1 |a Kogan Page inspire 
504 |a Includes bibliographical references and index. 
588 0 |a Online resource; title from PDF title page (EBSCO; viewed June 27, 2019) 
520 |a "Will the workplace of the future be overrun by machines and robots? Are the new frontiers of artificial intelligence (AI) on the cusp of dethroning us in efficiency, intelligence and innovative potential? Automation and AI will augment our human world and potential. The winners of the future of work are those that harness the power of machines to their advantage. Human/Machine is the only guide you need to understand the fourth industrial revolution. It sets out a road map to the challenges ahead, but also unlocks the wondrous opportunities that it offers. Human/Machine explores how we will work symbiotically with machines, detailing how institutions, companies, individuals and education providers will evolve to integrate seamlessly with new technologies. With exclusive case studies, this book offers a glimpse into the future and details how top companies are already thriving on this very special relationship. From gamification in job training to project management teams integrated with bots and predictive technologies that fix problems in the supply chain before they happen, the authors deliver a powerful manifesto for the adoption and celebration of automation and AI. In a much more fluid, skills-based economy, we will all need to prove our worth and future-proof our skills base. This book offers a blueprint to avoid being left behind and unearth the opportunities unique to human-machine partnership ecosystems"--  |c Provided by publisher 
505 0 |a Cover; Contents; About the authors; Acknowledgements; 1 A short history of human-machine partnerships; From tools to enhancements to early partnerships: a recap of the last few million years; Smart automation: a new pivot; Understanding the impact of automation on employment; Reminder: real-world AI is not movie AI; An example: how might smart automation in transportation affect professional drivers?; Task automation vs job automation: a key to understanding the future of human-machine partnerships; New tools, enhancements and human-machine partnerships: what to expect next 
505 8 |a Smart automation and job consolidation: who is most at risk?Automation as a means of increasing human potential: which traits and skills will automation help promote in human workers?; Shifting human capital from low-value tasks to high-value tasks; Human-machine partnerships as an intuitive and balanced evolutionary response to smart automation; 2 The state of human-machine partnerships; Evaluating human-machine partnerships: the importance of finding common ground; Evaluating human-machine partnerships: from cost-benefit thinking to cause-and-effect modelling 
505 8 |a How human-machine partnerships create disruptionWhat will the future look like?; How machines can help us become better at adapting to change; The value of human-machine partnerships in a nutshell; 3 Framing expectations for the next age of human-machine partnerships; What's next for human-machine partnerships?; Beyond the next 10 years; What does this mean for businesses?; What does this mean for workers?; What does this mean for the world's education and training infrastructure?; What does this mean for consumers?; What does this mean for technology companies? 
505 8 |a 4 How businesses should prepare for the next age of human-machine partnershipsThe 10-year digital transformation roadmap; Three steps to transforming your business; Applying change management principles to the coming shift; Finding the right balance between automation and augmentation; IT and HR: a new chapter in internal collaboration; What types of human-machine partnerships should businesses prioritize?; Hiring and training for a new class of machine-adjacent roles; How SMBs/SMEs will benefit from more synergy between humans and machines 
505 8 |a 5 How workers should prepare for the next age of human-machine partnershipsFutureproofing careers in the age of smart automation; Awareness, initiative and resources: an adaptation playbook; Embracing technology partnerships and augmentation: none of this is about humans vs machines; Augmenting yourself towards becoming a more valuable worker; From white-collar and blue-collar jobs to next-collar jobs, and back again: what colour will the collars of tomorrow be? 
650 0 |a Technological innovations  |x Economic aspects. 
650 0 |a Artificial intelligence  |x Economic aspects. 
650 0 |a Technology and civilization. 
650 7 |a Artificial intelligence  |x Economic aspects  |2 fast 
650 7 |a Technological innovations  |x Economic aspects  |2 fast 
650 7 |a Technology and civilization  |2 fast 
700 1 |a Blanchard, Olivier,  |d 1971-  |e author.  |1 https://id.oclc.org/worldcat/entity/E39PCjJKJ7CcpYfGqMHRMmC4YK 
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