My last blog discussed AI innovations in the health care sector, and it will share some prospects for new developments in this industry.
AI in the media industry
According to Business thread Artificial intelligence expenses (AI) in the media and entertainment industry in the United States forecast period (2019-2025) should grow to a record of 28.1%, going compared to 329 million US dollars to reach 1,860.9 million US dollars to reach 1,860.9 million US dollars by 2025.
Some of the best areas of application used in this sector are: play, detection of false stories, detection of plagiarism, personalization, planning and production management, sales and marketing and talent identification .
One of the areas that is very exciting is to understand how AI is used in news. AI has major impacts on the aggregation of the massive analysis of conversations of conversations through the web of the world and the classification in themes to assess the subjects of trend on a global scale or even identify the growing risks of terrorism Or even health risks, such as a pandemic.
Other technologies such as narrative science bet on this subject during the next fifteen years, the majority of news will be written by AI BOTS. An example of this is automated information, which helps bring professional sports to our television screens. This technology covers more than 13 baseball leagues and more than 140 affiliated baseball teams and translates stories in natural language treatment, Linguistic analytical methods of AI. This consolidated report saves research time on journalists and, in the future, even by writing articles of journalism with richer de factoids and content for a journalist to review and publish.
The customization of the content using AI is a gold rush for advertisers, because the AI allows the micro-segmentation of customers to deliver the relevant content to the support of a perfect relevant marketing campaign.
Companies like Leadsift in Canada even analyze all your research on the global web to attract relevance to target the right buyer with the right interests for your products and services. This is an area called propensity to buy signal detection. These solutions help you make sure that you target customers who are interested in what your business is doing, of course, the time of purchase remains a holy grail, but the frequency of coherent research models you certainly give an information predictor The strength of the area of interest of a strong propensity with a low propensity.
Another company, Pesado, for example, analyzed more than 18 million messages out of 180 brands in 2019 to identify words that really resonated with customers. This information can help get closer to a buyer profile profile to increase their chances of engagement.
According to Rainer Kellerhals, Microsoft’s media and entertainment industry for EMEA, he considers that AI will influence all parts of the media value chain, helping content creators to be more creative, helping publishers Content to be more productive and helping content consumers to find the content that corresponds to their interests and their current situation.
He sees what I see is the increased creativity and navigation compensation that AI will allow the entire media supply chain for the entire supply chain.
Today, many of the techniques of AI used are in fields such as: image recognition, transcription of text speech, marking of metadata to stimulate the needs of monetization of content. We note more innovations in the media industry where AI tools will be able to predict the demand for resources, or early disturbances in the supply chain to meet deadlines, to even identify major economies for Improve profitability margins.
We all know the incredible success that Netflix has led to our daily life – where our preferences are included and personalization is at its best.
There are so many cases of using AI used in the media and entertainment industry, that to continue learning, take a look at my new book The Dilemma of the AI where you find a chapter major on this industry segment.
We really live in a society rich in entertainment and that our outside world and our internal world continued to blend with information on data creating deeper models on our needs and our desires. Following these growth dynamics, growing ethical questions emerge on many stakeholders’ fronts asking questions such as: how far we are with AI innovations before needing more guards of guards Privacy, or what we should do with AI in the VS media sectors What should we avoid doing?
The continuous dialogue between the government, the industry, the citizens are necessary to ensure that AI is developed for goods in relation to damage. False news is an area where larger controls are necessary.
Note: See the AI dilemma for more information on the media industry.