A Breakthrough Year For Artificial Intelligence 2018 Very Dangerous
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A Breakthrough Year For Artificial Intelligence 2018 Very Dangerous

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A Breakthrough Year For Artificial Intelligence 2018
Very Dangerous
Why 2018 Will Be A Breakthrough Year For Artificial Intelligence ?.

2017 saw business leaders taking an interest in the possibilities offered by cognitive computing
This year is shaping up to be transitional in IT, and experts are pointing to one technology in particular that’s expected to play a potentially revolutionary role: Artificial intelligence. Some areas where AI will have an impact are extensions of previous trends, but some new technologies stand to make previously unanticipated changes. Here are a few ways AI will shape 2018 for businesses.

Smarter Hardware and Software
As computer hardware and networking equipment become more complicated, software is catching up to ease the burden of managing it. Virtualization is the norm in many businesses, and AI is playing a valuable role in adopting new equipment in a seamless manner. Cloud-based operations often rely on provisioning virtual hardware in response to changing demand, and AI is at the core of making these decisions. IT employees in 2018 will spend even less time with discrete hardware and more time managing virtual environments due to AI.
Better Data Analysis
The Internet of Things is slated to continue tremendous levels of growth. However, data is only useful if it can be effectively analyzed, and the AI designed to make the most of the IoT is being developed and deployed at a rapid pace. Users will be able find suggestions hidden in the data that would otherwise be lost, and, when combined with automation, the IoT will cut back on labor costs. These advantages aren’t just for enterprise-level companies, and smaller businesses sometimes have even more to gain by combining the IoT with AI.
Image Recognition
Also it might seem to be relatively minor for businesses, image recognition is a major source of human labor, as computers have previously been poor at analyzing images. However, advances throughout 2017 have shown the viability of machine learning for image recognition, and companies are poised to begin implementing this technology on a large scale. In addition to cutting back on labor costs, this technology can also help companies provide faster support for customers.

The Dangers, Limits and Promise of Artificial Intelligence
Posted on January 8, 2018
On this episode of ID The Future, Robert Crowther explores the dangers and potential of artificial intelligence with Dr. Robert Marks, Distinguished Professor of Electrical and Computer Engineering at Baylor University and co-author of Introduction to Evolutionary Informatics. Marks uses John Searle’s “Chinese Room” analogy to explain why computers do not have understanding and never will. At the same time, Marks predicts that continuing advances in technology will further augment our abilities.
links below

https://www.technative.io/why-2018-will-be-a-breakthrough-year-for-artificial-intelligence/

https://www.discovery.org/multimedia/audio/2018/01/the-dangers-limits-and-promise-of-artificial-intelligence/

News Rooms & intelligence Agency
How newsrooms will be adopting artificial intelligence in 2018
A look at the state of AI in newsrooms from the 2018 'Journalism, media, and technology trends and predictions' report published by the Reuters Institute

https://www.journalism.co.uk/news/how-newsrooms-will-be-adopting-artificial-intelligence-in-2018-/s2/a715900/
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