According to market research firm Gartner, the total value of artificial intelligence (AI) derivative business will reach 1.2 trillion US dollars in 2018, an increase of 70% over 2017. It is estimated that by 2022, the commercial value of artificial intelligence will reach 3.9 trillion US dollars. Gartner mentioned that artificial intelligence is expected to be the most disruptive technology in the next 10 years due to computing power, capacity, speed and diverse data, as well as the rapid development of Deep Neural Networks (DNN). Between 2017 and 2022, the company's acquisition of enhanced artificial intelligence products and services can solve a niche solution and become one of the biggest forces driving AI value. Basically, AI business value comes from three sources, including: customers gain new experiences, drive new revenue sources, and reduce service operating costs and service existing product costs. First, in the early days of AI development, customer experience was the main source of AI business value. Because AI can improve the interaction between the company and each customer, and thus contribute to increase customer sources and retain customers. The second is to reduce costs. Because companies are looking to use AI to improve process efficiency to improve decision making and automate more tasks. However, by 2021, AI became the main source of new revenue. Because the company found that using AI can increase the commercial value of existing product and service sales, as well as the opportunity to discover new products and services. So in the long run, the commercial value of artificial intelligence will bring new revenue possibilities. From the commercial value created by the AI ​​type, support and enhanced decision-making in 2018 (for example, deep neural networks) will account for 36% of the global artificial intelligence market value, and by 2022, this field will surpass all artificial intelligence types and become The driving force behind the market value, and the market value will occupy 44%. In addition, virtual agents can replace call centers to handle simple customer requests and other tasks, helping counter customer service to reduce business costs. With these simple tasks handed over to AI, people can spend time and energy on solving complex problems. It is estimated that in 2018, virtual agents account for 46% of the global AI business value. But by 2022, it will drop to 26%. Deep neural networks allow companies to perform data mining and discrimination patterns in huge amounts of data, rather than simply quantifying or classifying them, by creating tools to classify complex inputs that are then provided to traditional programming systems. This has a huge impact on the business and can even help them automate decision making and interaction processes. As for the decision automation system, it will only account for 2% of the AI ​​market value in 2018. However, as AI systems evolve to address the issue of categorizing unstructured data, this percentage is expected to rise to 15% in 2022. Smart products such as artificial intelligence-based platforms connected to cloud systems will account for 18% in 2018, but are expected to drop to 14% by 2022, as other more mature systems will replace them. Suizhou simi intelligent technology development co., LTD , https://www.msmsmart.com