#How Development Of Small Scale Business Depends On Intelligent Technology?

Table of Contents

How Development Of Small Scale Business Depends On Intelligent Technology?

Let’s talk first about what intelligent technologies are and what they are:

Intelligent technologies use those technologies that are associated with data analysis, with the development of solutions in the system that generate the relevant data. By doing this, smart technologies reduce latency, costs and security risks, thereby increasing the efficiency of business processes. There are three main categories of smart technology: operational technology, IoT technology, and information technology.

Currently the most extensive and popular is the second option. This type of technology includes a methodology and software design tools, as well as hardware other implementation of the IS. This makes it possible to develop practically useful ICs for solving various intellectual problems. IC tools are specialized software packages that target ICs in a hardware environment.

Intelligent technology is very good at detecting illiquid assets. It is not so difficult to see already illiquid goods in an ERP system. However, only analysts from the financial department or smart systems can predict which positions will become illiquid and freeze working capital in the future.

Relying on data on current demand, on external economic factors, on the movement of goods and conditions of its storage, they find potential illiquid assets in advance and recommend what to do with them in the future. Unlike “live” analysts who monitor the situation periodically, technological solutions do it all the time.

Another is solving a problem with a supplier, which is a very akin to work that can also be completely outsourced to an intelligent system. The rest is blockchain-based smart contracts – a technology that will record all the actions of counterparties in the entire supply chain of goods. It is arranged so that when a deviation is detected, the system will immediately establish the source of the problem, and, accordingly, eliminate it and claim a forfeit.

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Then there is smart recruitment technology that improves the quality of hiring. As a rule, the recruiter evaluates the applicant’s resume and decides whether to invite him to work. This process is very subjective, as it can depend on the mood and experience of the employee performing. The machine, on the other hand, is able to compare a large amount of data without relying on its emotions: there are many resumes and profiles that it can process and find the right one, at the end it will recommend you the best candidate or immediately send him an invitation for an interview.

These are just a few examples. But in the same way, intelligent solutions can replace humans in any operational process.

In general, according to the calculations of Advance2000 , smart companies are 23 times better at attracting customers and achieving a significantly higher return on investment. More and more of them will appear every year.

A special role in the beginning is to use distributed ICs, for the implementation of which the technology of multi-agent systems is used. Their components are intelligent reactive agents based on rules and logical agents with inference by reasoning, as well as cognitive agents that automatically form knowledge in a different form of learning in the process.

The development of cognitive ISs is related to the key problem of machine learning. They again include cognitive modules that can be self-taught. Software tools for developing agents with fuzzy or probabilistic-logical bases are also being developed. Such systems are more than simple reactive agents, they can provide complex behavior in real environments, taking into account uncertainties.

Development of cognitive agents and systems with automatic formation of knowledge in logical, neural or neurological forms of self-learning and a special inference procedure based on psychological concepts. Cognitive agent development tools, such as ACT-R, SOAR, JUDEX, do not yet allow the creation of practically useful cognitive agents with complex behaviors. App-developed research and new studies of the phenomenon of cognitive agents and multi-agent systems.

Conclusion:

Remember, it is very important to improve staff performance and make the right decisions at the stage of your work. Intelligent algorithms for searching and processing information, smart interface and machine learning technologies allow you to perform many operations in the system without human intervention. This will simplify your daily operations.

making decisions.

Use the technologies described above and you will notice a significant difference between how it was before and how it became after. We wish you good luck and new achievements. Do not be afraid to make mistakes and conquer more and more peaks! The future is here, and the best thing to do is to be the first to increase our competitiveness with the new opportunities that smart technologies give us.

by Leon Howard

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