automation


AI Starts Taking White-Collar Jobs - The New Stack

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Machines have already begun quietly replacing human workers. The issue may seem abstract when it's somebody else's job. But what happens when they come for yours? Amazon began automating its warehouses years ago, but now "Amazon's Clever Machines Are Moving From the Warehouse to Headquarters," according to Bloomberg. "The people who command six-figure salaries to negotiate multimillion-dollar deals with major brands are being replaced by software that predicts what shoppers want and how much to charge for it."


Short of Workers, Restaurants Turn to Robots Independent Recorder

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Experts have warned for years that robots will replace humans in restaurants. Instead, a twist on that prediction is unfolding. Amid the lowest unemployment in years, fast-food restaurants are turning to machines--not to get rid of workers, but because they can't find enough. The hospitality industry had 844,000 unfilled positions in April, a record high, according to the Labor Department. Employment in food service and drinking places has increased by 1.6 million since May 2013 to 11.9 million in May 2018.


Short of Workers, Restaurants Turn to Robots

WSJ.com: WSJD - Technology

Experts have warned for years that robots will replace humans in restaurants. Instead, a twist on that prediction is unfolding. Amid the lowest unemployment in years, fast-food restaurants are turning to machines--not to get rid of workers, but because they can't find enough. The hospitality industry had 844,000 unfilled positions in April, a record high, according to the Labor Department. Employment in food service and drinking places has increased by 1.6 million since May 2013 to 11.9 million in May 2018.


How Automation Will Affect Your Workforce

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Editor's Note: SHRM has partnered with Harvard Business Review to bring you relevant articles on key HR topics and strategies. Today, executives have to cut through a lot of hype around automation. Leaders need a clear-eyed way to think about how these technologies will specifically affect their organizations. The right question isn't which jobs are going to be replaced, but rather, what work will be redefined, and how? Based on our work with a number of organizations grappling with these issues, we've found that the following four-step approach can help.


Rebooting AI - postulates

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We are trapped by Turing's definition of intelligence. In his famous formulation Turing confined intelligence as a solution to a verbal game played against humans. This in particular sets intelligence as a (1) solution to a game, and (2) puts human in the judgement position. This definition is extremely deceptive and has not served the field well. Dogs, monkeys, elephants and even rodents are very intelligent creatures but are not verbal and hence would fail the Turing test.


In Army of None, a field guide to the coming world of autonomous warfare

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The Silicon Valley-military industrial complex is increasingly in the crosshairs of artificial intelligence engineers. A few weeks ago, Google was reported to be backing out of a Pentagon contract around Project Maven, which would use image recognition to automatically evaluate photos. Earlier this year, AI researchers around the world joined petitions calling for a boycott of any research that could be used in autonomous warfare. For Paul Scharre, though, such petitions barely touch the deep complexity, nuance, and ambiguity that will make evaluating autonomous weapons a major concern for defense planners this century. In Army of None, Scharre argues that the challenges around just the definitions of these machines will take enormous effort to work out between nations, let alone handling their effects.


How AI, Machine Learning and Automation will Impact Business in 2018 and Beyond

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We are living in exciting and innovative times with futuristic technology literally at our fingertips. But for the longest time, small to medium sized businesses were not serviced by the latest tech trends enterprises have been able to benefit from. In this article, we'll explore these technology trends and how they will impact business in 2018 and beyond. So, what kind of things can this'smart' tech do? Just 4 months ago, an AI machine managed to complete a University level math exam 12 times faster than it normally takes the average human.


7 Artificial Intelligence technologies that will change the future of business

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Artificial intelligence is not an exclusive technology to high-tech companies, nor it is something that will happen in the future. But it is already a reality which is capable of transforming organizations of all sizes. Undoubtedly, this technology is radically changing the way we work and do business, given that 80% of executives think that AI solutions can improve their productivity. The Artificial Intelligence market will have a value of almost $89847M by 2026 globally, according to a recent study by Statista. For companies, the correct use of Artificial Intelligence can mean an increase in sales, substantially improve each of its areas, eradicate inefficiency, optimize operational processes and save costs.


Automation Isn't Replacing Recruiters, It's Making Them Formidable

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Ahh we love the'humans versus robots' debate, don't we? Well more than ever, it becomes apparent that human-tasked roles at scale are being replaced. Not us!!" is what I persistently hear, when we are faced with this subject, and the preposterousness of it all sets us into a panic. How can a robot, a piece of technology, an algorithm; how can they possibly make the kind of decisions that recruiters make, the human element, the relationships, the conversations, the crucial judgments, and the nuances of selection that set us apart and earn our fees? Well let's wind back a little.


A Roadmap to AIOps -- Part 2 - DZone AI

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This article is a continuation of Part 1. You can find the first part here. It is likely that when you begin your AIOps journey, you will already have certain analytics in place. I do not mean the analytics that are embedded in your IT tools. I mean offline, mostly manual analytics, that you do regularly, irregularly, or periodically to identify areas for process improvement, reduce costs, improve performance, etc.