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AI and Industrial Automation: Don't Count the Incumbents Out

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Earlier this month an article in the Financial Times by John Thornhill, the paper's innovation editor, caught my attention. Thornhill was relaying an intriguing set of ideas expressed by the authors of a new book, What To Do When Machines Do Everything? Before discussing the future impact of today's unfolding industrial innovations such as driverless cars, robotic surgery, precision agriculture, or automated beer service (as in the photo above), the three authors – Malcolm Frank, Paul Roehrig, and Ben Pring – make their first key point, citing the example of an early 19th century innovation that enabled an entire industry that generates $620bn. in annual revenues today. What could this invention have been – The steam engine? Theoretically, you might expect not be too far off with any one of these answers, but in fact the invention in question was … the lawnmower.


AI and Industrial Automation: Don't Count the Incumbents Out

#artificialintelligence

This post originally appeared on PhilipLay.com. To read the post from the original source click here. Earlier this month an article in the Financial Times by John Thornhill, the paper's innovation editor, caught my attention. Thornhill was relaying an intriguing set of ideas expressed by the authors of a new book, What To Do When Machines Do Everything? Before discussing the future impact of today's unfolding industrial innovations such as driverless cars, robotic surgery, precision agriculture, or automated beer service (as in the photo above), the three authors – Malcolm Frank, Paul Roehrig, and Ben Pring – make their first key point, citing the example of an early 19th century innovation that enabled an entire industry that generates $620bn. in annual revenues today.


27 Incredible Examples Of AI And Machine Learning In Practice

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There are so many amazing ways artificial intelligence and machine learning are used behind the scenes to impact our everyday lives and inform business decisions and optimize operations for some of the world's leading companies. Here are 27 amazing practical examples of AI and machine learning. Using natural language processing, machine learning and advanced analytics, Hello Barbie listens and responds to a child. A microphone on Barbie's necklace records what is said and transmits it to the servers at ToyTalk. There, the recording is analyzed to determine the appropriate response from 8,000 lines of dialogue.


27 Incredible Examples Of AI And Machine Learning In Practice

#artificialintelligence

There are so many amazing ways artificial intelligence and machine learning are used behind the scenes to impact our everyday lives and inform business decisions and optimize operations for some of the world's leading companies. Here are 27 amazing practical examples of AI and machine learning. Using natural language processing, machine learning and advanced analytics, Hello Barbie listens and responds to a child. A microphone on Barbie's necklace records what is said and transmits it to the servers at ToyTalk. There, the recording is analyzed to determine the appropriate response from 8,000 lines of dialogue.



Future Factory: How Technology Is Transforming Manufacturing

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From advanced robotics in R&D labs to computer vision in warehouses, technology is making an impact on every step of the manufacturing process. Lights-out manufacturing refers to factories that operate autonomously and require no human presence. These robot-run settings often don't even require lighting, and can consist of several machines functioning in the dark. While this may sound futuristic, these types of factories have been a reality for more than 15 years. Famously, the Japanese robotics maker FANUC has been operating a "lights-out" factory since 2001, where robots are building other robots completely unsupervised for nearly a month at a time. "Not only is it lights-out," said FANUC VP Gary Zywiol, "we turn off the air conditioning and heat too." To imagine a world where robots do all the physical work, one simply needs to look at the most ambitious and technology-laden factories of today. For example, the Dongguan City, China-based phone part maker Changying Precision Technology Company has created an unmanned factory. Everything in the factory -- from machining equipment to unmanned transport trucks to warehouse equipment -- is operated by computer-controlled robots. The technical staff monitors activity of these machines through a central control system. Where it once required about 650 workers to keep the factory running, robot arms have cut Changying's human workforce to less than a tenth of that, down to just 60 workers. A general manager for the company said that it aims to reduce that number to 20 in the future. As industrial technology grows increasingly pervasive, this wave of automation and digitization is being labelled "Industry 4.0," as in the fourth industrial revolution. So, what does the future of factories hold? Manufacturers predict overall efficiency to grow annually over the next five years at 7x the rate of growth seen since 1990.