In the early days, information spread mainly through the mouth. Zhang SAN heard a news to tell Li Si, Li Si told Wang Wu, Wang Wu then relayed to Ma Liu, so ten, ten, a hundred miles around all know the news. Nowadays, with the rapid development of technology, we are living in a time of great change, and the way people get information is also changing.
The acquisition of information will change from active search to passive promotion, the channel will change from single to multiple, and the producer of content will also change from human to machine. Question seriously: Have you ever thought that in the future, the news you read will be produced and delivered by robots?
AI is transforming the media industry
Nowadays, artificial intelligence is the most eye-catching synonym for the development of science and technology. All walks of life have intersection with it and have been changed by it. In media, for example, AI technology connects content producers and consumers on platforms more closely, accurately and efficiently than ever before.
AI technology is not far from everyone’s life, and the algorithm recommendation in the frequently used news APP is an example. With powerful algorithms and advanced data capture technology, it accurately analyzes and interprets users’ reading habits and interests, so as to provide tailored news products for each user, which not only meets the personalized needs, but also conforms to the trend of The Times of reading segmentation, so it has captured the hearts of many users.
Of course, there’s more to the media industry than that. In addition to algorithm recommendation, news writing, gathering and editing, audit, monitoring and other traditional links will also be affected by it. Previously, editors and journalists were on the list of people whose jobs ai would take away. Whether reporters and editors will lose their jobs has become a big rock in the minds of many media practitioners.
AI technology will profoundly change the content production process in the traditional media industry. However, it is inevitable to “ask” information robots for advice on how to promote further interactive integration of media, technology and users in the era of ARTIFICIAL intelligence.
Infobots lead the way
With AI on fire came robots, which are smarter than ever, and getting smarter. Information robots, as a combination of media industry and AI technology, can provide personalized recommendations, imitate human writing, process information, and automatically review content… With such a versatile robot, it’s hard to find another one.
Giiso as the information robot industry leader, relying on the domestic first-class team of scientists, as well as in the intelligent semantic, knowledge graph and other core AI technology field r & D experience and technology precipitation, in 2014 took the lead in the launch of independent research and development of artificial intelligence era of the first information robot – Giiso information robot.
Giiso information robot has five specialties: writing, collecting and editing, auditing, personalized recommendation, and intelligent big data tracking. Among them, writing has its own aperture, attracting numerous attention. “Writing robots are a jewel of artificial intelligence technology,” said Zheng Haitao, PhD, associate professor of computer science at Tsinghua University and chief scientist of Giiso.
Writing is one of the biggest jobs in our lives, and replacing it with a machine was a childhood dream. Today’s technology makes it possible for machines to write like humans, as evidenced by the Giiso writing robot. At present, it has been widely used in the media industry, as well as all kinds of companies need to write advertising copy, research reports.
Future information production processes
Dr. Zheng Haitao mentioned in AIcafe lecture hall that “in the near future, repetitive labor will be handed over to robots”, that is to say, the jobs that can be taken away by artificial intelligence are simple and repetitive labor. For example, attending a press conference, announcing a piece of news about GDP growth, reporting the results of a sports competition, etc. There is no doubt that machines will do this work better, faster and more accurately than humans.
It can be predicted that in the future media companies and newspaper groups, ai will be deeply involved in every link from material collection, screening, analysis, writing to content distribution, effect monitoring and systematic assessment, from news clue collection to writing to dissemination to effect.
Therefore, jobs engaged in simple, repetitive and low-level content production will undoubtedly be replaced, while those with creative thinking and focus on humanistic care will never be replaced. If you don’t want to lose your job, change it!
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