2017 Artificial Inteligence Examples Technology 
IdeaScale
AUGUST 16, 2017
When people talk about machine learning they are a referring to a type of artificial intelligence that has the ability to learn without explicit programming. And machine learning could be applied towards many of those already (for example: using data to optimize for consumer buying behavior).
IdeaScale
JUNE 24, 2022
The evolution of technology and the demand for sustainable products and processes is becoming one of the main drivers of revenue growth and cost reduction across industries. For example, between 2016 and 2018 alone, UPS was forced to spend over $1 billion more on fuel , a key driver in its push to go electric. .
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hackerearth
JULY 19, 2018
Businesses that use Artificial Intelligence (AI) and related technology to reveal new insights “will steal $1.2 Although AI has been around since the 1950s, it is only recently that the technology has begun to find real-world applications (such as Apple’s Siri). trillion per annum from their less informed peers by 2020.”
Open Innovation EU
OCTOBER 24, 2017
In 1990 Kurzweil instantly incubated the way we think about Artificial Intelligence (AI) with his work The Age of Intelligent Machines. But while AI may speak to our imagination, it is in fact one of the slowest developing fundamental technologies and its current state is still highly debatable.
Innovation 360 Group
JULY 25, 2017
Not long ago one of my clients, a very skilled former top consultant, now a seasoned industry leader, asked for “ Artificial Intelligence for Dummies ”. The technology matures but many of the promises that were made have been broken. The technology matures but many of the promises that were made have been broken.
IdeaConnection
DECEMBER 17, 2017
Artificial intelligence is one of the hottest new technologies and research into its use is intensifying across multiple industries, including healthcare where it may be able to help prevent suicide. But the situation could one day improve thanks to technology. Inner pain isn’t obvious. AI and Suicide Prevention.
Paul Hobcraft
MAY 15, 2018
Most of what I have read and researched gives detailed explanations of how they work and throws around all the different jargon, protocols such as the need to understand the important semantic technologies, concepts, and methods like RDF, URI, SPARQL, SKOS, and OWL. Building AI application requires Context.
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