In short, artificial intelligence (AI) is a system or machine that is capable of mimicking human behavior for specific tasks and can be gradually learned. AI has many incarnations. AI is a complex of related technologies and processes that develop efficiently and rapidly, for example:
– natural language processing;
– machine learning;
– expert systems;
– virtual agents (chat bots and virtual assistants);
– recommendation systems.
Artificial intelligence – basic terms
Intelligent digital workspace
According to IDC, by 2023, 75% of Global 2000 companies will focus on an intelligent workspace that empowers employees to work more efficiently on both their own and collaborative projects. Already, technologies are emerging that allow you to automate the workflow and prompt employees about the actions they should take. Electronic assistants are gradually transforming from a useless Microsoft Office Paperclip into full-fledged participants in the business process, who process a large amount of information from various sources, select the important and model the future. Naturally, all such solutions are based on artificial intelligence technologies.
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A suitable foundation for AI
When ai software development company are involved in developing initiatives, they sometimes struggle to get support from a wider circle of people in the company. When projects are offered by a business, they can only provide for a limited use of the capabilities of this technology.
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In both cases, isolated teams can do double work or take conflicting actions.
The solution will be oversight from a multidisciplinary team that includes business, IT, and AI professionals and reflects all the functions of your organization. You need to exercise discipline in creating a cross-functional organizational structure to develop a clear strategy for using artificial intelligence. Often the best way to lay this foundation for AI adoption is to create a competency center. Such a model, in our opinion, will be the most widespread. (PwC also has a Competence Center.) In some companies, AI responsibilities may be added to existing analytics or automation functions, or they may be delegated to other existing competency centers.
Using AI in commercial products
By 2023, 25% of Global 2000 companies will acquire at least one AI startup. Although it is more likely to create our own artificial intelligence laboratories, which would allow analyzing the data accumulated in companies and creating neural networks on their basis. Neuroprocessors are already being actively developed, which make it possible to speed up the calculation of large neural networks, and this can be done with low energy consumption. This makes it possible to build autonomous devices or IoT solutions on such an element base. Analysts also warn that organizations that develop their own AI solutions and cloud computing services will move to subscription models.