8 directions of development in the development of artificial intelligence – Software developer in Ukraine – iTizzi


AI is incredibly complex and evolving rapidly. In some areas, he is doing much more, and in others – much less than one might have assumed a decade ago. Based on the experience of experts and programmers from iTizzi Software Development Company in Kyiv, Lviv, and Dnipro, real prospects and directions for the development and implementation of the artificial intelligence (AI) market in the near future become visible.

The development of artificial intelligence and machine learning will certainly drive the development of the labor market. Thanks to the use of AI solutions, we will be able to work much more efficiently and efficiently. New jobs will be created, but finding suitable employees will be more difficult. To implement artificial intelligence in organizations and businesses, it is not enough to hire technology specialists; it is necessary to be able to interpret the results. It will be necessary to train employees in new competencies and a new approach to cooperation with people and artificial intelligence.

72% of CEOs around the world believe that artificial intelligence and machine learning will be their business advantage in the future. In 2021, artificial intelligence will be able to automate increasingly complex processes, identify trends in terms of business value for companies and support employees in completing their tasks.

So far, many organizations cannot really assess the return on investment in Big Data. Now that the use of artificial intelligence is becoming more prevalent, many companies are rethinking their data strategy. They start asking the right questions, like: How can we improve our processes? what to do to automate data collection? As many types of AI (such as machine learning or deep learning) require a huge amount of data that is described and “cleaned” of prejudices and violations, companies will begin to reform their data architecture and approach to data management. This will happen by looking for solutions to specific problems.

Employees who understand how to prepare data so that AI can make optimal use of it will be key for companies. Given the fact that AI will become an integral part of everyday processes, industry experts will be even more important than data analysts.

The more advances in artificial intelligence, the more cyberattacks. Advanced machine learning, deep learning, and neural networks enable computers to find and interpret patterns. They can also find and exploit vulnerabilities. Scalable machine learning, coupled with cloud computing, analyzes massive amounts of data and provide real-time threat detection and analysis. Artificial intelligence can also efficiently identify areas where cyberattacks are growing rapidly and provide cybersecurity reports.

Artificial intelligence based on black boxes may face a wave of mistrust that will limit its use. Public pressure will lead many of them to be “open” so that users can understand how AI works. This situation will lead to the need to make compromises – opening the black boxes will reduce the risk, but the processes will become slower and more expensive.

Canada, Japan, UK, Germany, and the United Arab Emirates have strategies for the development of artificial intelligence technologies. The United States also plans to transform the country into a power in this area, which should help improve the economic situation and increase security. China views AI as a strategic national development priority and is becoming an increasingly serious threat to the United States in the context of the loss of its technological advantage. In Ukraine and Eastern Europe, we see a slow growth of interest in artificial intelligence from the business side, at least in the declarative sphere.

With any new technology (as well as many older ones), the golden rule must be followed: do more than the ground rules dictate. Law often lags behind innovation. Artificial intelligence company iTizzi in Odesa and Vinnytsia makes bold decisions and is the first to responsibly introduce new technologies, reduce risks, improve results and strengthen competitive advantages.