Five trends of AI and machine learning in 2021

The following is the Five trends of AI and machine learning in 2021 recommended by recordtrend.com. And this article belongs to the classification: artificial intelligence.

      Artificial intelligence and machine learning are popular professional technologies in the market, and their importance will reach its peak in 2020. These two kinds of information technologies have been widely used in various industries, ranging from e-commerce to quantum computing management system, from medical diagnosis and analysis system to consumer electronics products, especially the increasingly popular intelligent assistant in China.

According to international data, a market research organization, the global AI market is about $156.5, up 12.3% from 2019.

In addition, artificial intelligence and machine learning have many innovative uses. IBM’s Watson, for example, can create unlimited combinations of possible combinations from multiple components. In addition, AI driven virtual nurses, such as angel and Molly, are already being used to save lives and costs. Some robots help in the medical field, from invasive systems to heart surgery.

Here are five trends in AI and machine learning identified by industry experts:

1. Artificial intelligence and machine learning are playing more and more important roles in the field of super automation

“Super automation” is a new technology trend determined by Gartner. But there are other names, such as Forrester called “digital process automation” and IDC called “intelligent process automation”. Super automation combines the right technologies to automate, simplify, discover, design, measure and manage the workflow and processes of the entire organization.

The outbreak of coronavirus in 2020 has accelerated the adoption of this management concept, in which artificial intelligence and machine learning are the key and important components, and the main driving factors of enterprises and their development. Although it also includes robot automation tools and other information technologies, a successful planned economy cannot rely on statically packaged software. Automated business workflow we should adapt to the changing situation of society and take the initiative to deal with unexpected situations.

This is where artificial intelligence, machine learning models and deep learning play an important role.

2. The overlapping of artificial intelligence and Internet of things

The boundary between artificial intelligence and Internet of things is more and more blurred.

According to Gartner, by 2022, 80% of enterprise IOT projects will include artificial intelligence in some form. What is the synergy effect of these two advanced technologies? The Internet of things, called digital nervous system and artificial intelligence, is the brain that makes wise decisions. Artificial intelligence can quickly collect data, making the Internet of things system more intelligent.

3. More use of artificial intelligence in network security applications

Machine learning and artificial intelligence have played an important role in the family environment security and network economy security control system of enterprise information system. Network data security developers have been trying to update their technology to cope with the continuous development of DDoS attacks, malware, blackmail and other threats. These two kinds of mainstream media technology analysis can help students identify these threats, including early threats.

AI based network security tools can also collect data from enterprise communication networks, trading systems, digital activities and websites, as well as external public resources, and use AI algorithms to identify patterns and threat activities, such as suspicious IP addresses and possible data disclosure.

According to the survey of IHS Markit, the use of AI in family safety system is mainly limited to the system integrated with home camera and intruder alarm system integrated with voice assistant. But the company’s analysts believe that the application of artificial intelligence will be extended to the development of smart home, so that the family safety system can understand the habits and choices of residents, so as to improve the ability to identify intruders.

4. The rise of enhanced intelligence

For the development of Chinese enterprises, the rise of enhanced intelligence should be an exciting trend. Through the combination of intelligent information technology and personnel ability, enterprise management can effectively improve the efficiency and performance of its employees.

Gartner predicts that by 2023, about 40% of the infrastructure and operations teams in large companies will use artificial intelligence to enhance automation to increase productivity.

5. Conversational AI

The technology Apple uses based on automatic information and voice is called conversational AI. Today, AI developers are deploying this technology in applications and websites by confirming voice and text, understanding customers’ intentions, deciphering languages, and responding like humans.

Amazon echo and Google homes are the best examples of conversational AI today. However, there are still many problems that need to be studied and improved. Speech recognition and automatic text recognition are two challenges that need to control students’ natural development language processing (NLP). Developers can overcome these challenges by learning various teaching methods at the same time.

Today, companies are using conversational AI chat robots to arrange meetings, serve airlines, sell products, and provide a better customer experience.

Summarize the trend of AI and machine learning in 2021

The scope of artificial intelligence and machine learning has gone beyond the scope of people’s thinking, and the analysis of industry experts will give people more understanding of the expectation of 2021.

In 2021, these trends will play an important role in changing people’s lives. They will bring more innovation and open up new opportunities. Survey shows that companies are reluctant to spend money on AI training for their employees. Indeed has released an AI employment report: the annual salary of machine learning engineers is 980000, but AI employment growth is declining! Gong Peiyuan, vice president and executive partner of Gartner What stages of AI is it going to? Gartner:AI enhancements will create a business value of US $2 trillion and 900 billion Altimeter:2021 annual Internet content report artificial intelligence technology in 24 industries: Baidu: 1Q21 earnings conference, Robin Li said Baidu rarely regards marketing revenues as the overwhelming majority of revenue sources, IBM:1Q21 revenue is $17 billion 700 million, the first growth since 2018 has benefited from the cloud industry. Help IDC Japan: AI maturity survey of Japanese enterprises Oxford Institute of Economics: the role of generation Z in shaping the digital economy

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