How AI Will Change Software Development: oftware Leaders Should Know

Artificial intelligence technology, which has been developing since the 60s of the last century, has finally reached its peak – almost all trends in the development of information technology are somehow connected with it. For example, IDC in October last year presented a forecast for the IT industry for 2021. Let’s try to show that artificial intelligence affects almost every point of this forecast. So, these are the trends, according to IDC analysts, will determine the development of IT in 2021.

The IT legacy of the pandemic

Forced migration of users to home devices and computers, as well as to the use of cloud services, will make itself felt even before 2023. CIOs will continue to seek opportunities to build resilient, distributed digital infrastructures. However, managing geographically dispersed devices, controlling the applications running on them, and transferring data between office applications, end users, and cloud services require sophisticated monitoring, management, and orchestration mechanisms. They are difficult to provide without AI-powered applications.

Later, AI began to refer to a number of algorithms and software systems, a distinctive feature of which is the performance of certain tasks in the same way as a person who thinks about their solution would do it.

The main properties of AI are language understanding, learning and the ability to think and, importantly, to act.

AI solutions development company is a complex of related technologies and processes, efficiently and rapidly, for example:

  • natural language processing;
  • machine learning;
  • expert systems;
  • virtual agents (chat bots and virtual assistants);
  • recommendation systems.

Moving to autonomous IT operations

IDC’s analysis showed that by 2023, all IT and automation initiatives should be based on cloud ecosystems as the underlying framework that enhances asset management and real-time analytics capabilities. Systems are called autonomous because they make their own decisions, but most of them use neural networks trained in the cloud based on the analysis of the data they collect. The modern technology of artificial intelligence allows us to separate the complex computational task of analyzing a large amount of data from the system of fast decision making. That is, big data collected in cloud services is processed using artificial intelligence methods, and as a result, rather compact and fast-working neural networks are obtained. They are the ones who make decisions as part of autonomous systems. However, in order for companies to use such a system of separation of processing and decision-making, they need to integrate their data warehouses with analytics systems based on artificial intelligence and deep machine learning.

The importance of natural intelligence

Business automation and the widespread adoption of artificial intelligence will not be complete without investment in building IT teams or DevOps teams that constantly monitor the activity of neural networks, identify their incorrect or suboptimal behavior, and retrain models. Moreover, it will not be so much universal IT specialists that will be important as professionals in specific industries. Read more info at DataScience UA.

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