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In recent years, exciting new technologies have emerged at breakneck speed, turning the world upside...

In recent years, exciting new technologies have emerged at breakneck speed, turning the world upside down.

The development of artificial intelligence (AI) plays a vital role among them. It is being introduced into more and more new areas, creating unique opportunities for those who are open to new trends in the field of artificial intelligence. It is no longer a novelty that is a pleasure to have in order to impress others. AI is embedded in the core of the business. Artificial intelligence elements are becoming available even for small businesses.


Artificial intelligence trends are starting to dominate the market.

In 2020, the first robot consultants, smarter, personalized purchases arrived. Future advances in artificial intelligence will help target customer preferences based on supply and demand analysis, and even advise on features to enrich a newly created product.

Today, many companies are attracting new customers and delivering an unparalleled user experience with online stores and ai retail solutions.

Experts estimate that 85% of communication between a client and a company will not require any kind of human leadership by 2022.

Nowadays, industry-specific e-commerce lines are disrupting traditional customer acquisition methods. Improved AI trends in model and video recognition are enabling smarter applications that can see the world through the eyes of the client. New search capabilities become available: the user can select an item in any online photo and use it to search further using image recognition software.

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The development of artificial intelligence is propelling the industry forward with unprecedented profits.

According to the latest forecasts, by 2022, 75% of commercial applications for processing enterprise data will use AI. The reason for this prediction is that the solutions that AI offers to business processes provide more effective customer engagement and employee productivity, freeing engineers to perform more important tasks.

The key to success lies precisely in aligning AI technologies with the real needs of the business. Of course, this may require revising and changing the entire business concept; however, this adjustment will ensure the automation of the relevant business processes and the development of reliable and profitable platforms.

Emerging trends in artificial intelligence offer algorithms that are also ideal tools for achieving organic business growth, their expansion into a new industry, and new product development.

Are you interested in new trends in artificial intelligence? Does your product need a breakthrough? Our team has extensive experience in consulting, especially microsoft azure consulting services, research, prototyping and software development, including AI.


Face and voice recognition are among the most striking features of modern artificial intelligence. AI systems will improve and deliver more relevant results with fewer errors.

AI digital marketing trends will also drive sales using automation tools such as robot consultants and highly intelligent chatbots.

E-commerce will be specially tailored to the needs of the client. When the user places some text in the search bar, the query is matched against the search history. Thus, the result of such a request will ideally match the needs of the client.

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Artificial intelligence in the future will enable companies to reach target audiences and calculate customer experience using new AI algorithms: providing the right information at the right time in the right conditions.


As its power and capabilities grow, one of the most effective trends in artificial intelligence right now is the reduction in the amount of data entered. Apps and machines are becoming less artificial and more intelligent in nature. 

Artificial Intelligence trends is about defining a problem and finding innovative solutions by summarizing previous examples. This flexibility involves modeling new scenarios from existing data instead of the old rules-based deep learning approach that required an infinite amount of data. This strategy uses a continuous synthesis of emerging data. As a result, additional data appears along with rules for its use in the system in order to completely personalize the user experience.