Today, artificial intelligence is not a new concept. With the increasing complexity of technology, artificial intelligence is continuously expanding its application in marketing and other business areas: various types of algorithms can quickly find the required information in massive amounts of big data, and the efficiency exceeds that of artificial data. Million times; face recognition, voice registration, accurate delivery of advertisements and content, and so on, are all AI technologies for business progress.
OFweek Robot Network News: The value of artificial intelligence, especially the improvement of efficiency, has been recognized by people. With its help, people can free themselves from the arduous work of data analysis and calculation, focusing on more important and innovative work, and bring benefits to individuals, teams, and companies.
But for many commercial companies, applying artificial intelligence is easy and difficult to do. First, integrating artificial intelligence into the company's business processes and making it the core of the team's work is quite time consuming. In addition, it is not a simple and easy task to obtain the budgetary support of management for deploying AI systems and equipment in terms of people’s awareness and trust in AI.
However, it is optimistic that artificial intelligence has now had many technologies applied to corporate marketing practices and is expected to profoundly change the rules and appearance of the business world.
High quality content writing
At present, more and more media have begun to introduce artificial intelligence for general news writing. This means that AI will gradually have the ability to efficiently and quickly compile the content - not only can the original data be converted into narrative articles and automatically generate titles.
This also means that AI has the ability to guide corporate marketing transformation in the writing of copywriting. At present, an artificial intelligence writing system called "Automated Insights" has been applied in many American companies. Through a “natural language generation†technique that can turn data into texts that are in line with human reading habits, it can automatically collect information related to topics and then select valuable parts from them to form readable texts. Although these contents are still grammatically dry, they all contain all kinds of information and data that all readers need, and some even have a coherent context.
This technology will also increase the efficiency of marketers. With artificial intelligence, they can improve the writing quality of posters, direct mail advertising, and improve the effectiveness of marketing efforts through SEO (search engine optimization). Personalized content dissemination is representative. Artificial intelligence is based on consumer information and is written for its individual and “favorable†content. Compared with the traditional marketing that is full of water and irrigation, it will obviously get more positive feedback.
Accurate filter push
Content recommendation is one of the common ways of marketing and communication today. The addition of AI makes this model even more powerful.
American Outbrain Company uses artificial intelligence to push the produced content to selected Internet users who are more likely to read. This greatly eases the job of marketers in picking referrers from mass feedback, and ensures that the information the company wishes to convey will be read by target consumers with a higher probability.
This case shows the smart push of existing information, but in fact, the biggest value of the content recommendation function is to push the company's unplanned, even "don't know," beneficial content. It is not difficult to understand that news media and e-commerce websites now automatically recommend articles and products that you are likely to be interested in based on your browsing history. The manufacturers and authors of these products do not know.
In this regard, IBM's artificial intelligence “Watson†is already a senior recommended master. Not long ago, Under Armour, an emerging sports brand, collaborated with IBM to develop an application that can provide users with personalized health advice based on similar user data in the vicinity.
It is foreseeable that from the viewpoint of providing brand purchases, to the writing style of advertising texts, to the design of the website interface, and the role of artificial intelligence, we will gradually cover all aspects of contemporary marketing.
Targeting users
A few years ago in the science and technology community, there was a story that had been popular: a male customer in the United States complained to a local shop because the shop even sent coupons for baby products to his daughter who was still studying. However, after further communication with her daughter, the angry father found that his daughter was really pregnant.
How do businesses know their daughter's pregnancy news earlier than their father? The answer is big data. The personal information on the membership card and the record of the category of the shopping are combined to allow the merchant to make a content recommendation that is not polite but extremely accurate.
Today, with the help of artificial intelligence, the use of big data becomes more effective: On the basis of increasingly large and detailed data, artificial intelligence divides and groups consumers with the same or similar behavior habits. In turn, according to the commonality of the community, more personalized content is produced and pushed more accurately, which greatly increases the input-output ratio of marketing.
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