Artificial intelligence services for businesses

Manufactured products and the profit of providing services of each group are constant in weekly, monthly, quarterly and yearly intervals, and it is important to note the profit and loss results of past sales periods. Analyzing the reports derived from the recorded information regarding the performance of the human resources and the customer acceptance of provided services will lead to making more appropriate decisions compared to the previous period. Nevertheless, data analysis is primarily concerned with ensuring the accuracy of recorded data and how the final report is presented.

Many organizations continue to use human operators in the mid-management ranks, and human errors will cause problems in the final report. Failure to properly record information manually will cause problems. The incorrect filing of information, tampering with the data, and providing wrong results are all examples.

As a result, managers will need to rely on artificial intelligence services for accurate documentation, data analysis, and precision decision-making. Many errors are detected when such new technology is used, and proper results are obtained by correcting them.

Provide AI services for your organization with a personalized form of the intelligent system by utilizing Lenava AI company services. Personalizing numerous aspects of your sector and offering precise information to artificial intelligence will yield exceptional results.

All the personalized features of your business will be aligned with the complex algorithms and models of Lenava AI company. After performing calculations, performance indicators with more than 90% accuracy and appropriate values will be predicted for them.

The importance of AI services in business has become apparent so far. But in the following, we will introduce you in more detail with examples of the applications of AI services for businesses. Each of the applications will lead to an increase in work productivity, a reduction in workforce involvement, and human errors.

The implementation of each of the four sections mentioned below can be different for each business, and defining the indicators will be effective in the implementation of AI services.

Natural Language Processing, which is called NLP for short, is one of the main branches of AI and is about performing activities that rely on technology based on human commands. For example, by saying “open the parking door,” the AI service system will receive the voice through voice sensors, convert it into text, and then use predetermined algorithms to convert the command into machine language.

In the end, if the order is executed using special operators, the motor connected to the parking door will start moving and opening it. Managers of large companies will have the ability to view the reports of a specific department in a specific time period in their organization using such commands that rely on natural language processing. Also, by checking the environments of social networks and websites, you will get to know the users’ opinions. Also, without the need for additional personnel, you will have complete reports with speed and accuracy.

A large percentage of the learning process is also through observing our surroundings. Image processing has also found a special place for itself in the field of AI services. With the correct use of this artificial intelligence tool, it is possible to recognize the faces of personnel, check the identity information of customers, and even check empty or occupied spaces. There are many applications in online businesses that benefit from image processing, and a prominent example is the Instagram mobile application.

As Instagram’s image processing algorithm extracts the visitor’s tastes, it can prepare information for the audience and encourage them to visit again.

Search engines will act in the same way and provide suitable results for users in the field of images.

Machine vision in AI services has a very close relationship with image processing, and in many cases, it is not possible to separate them. Sometimes, in different industries, human resources are used to check the correct operation of the production line, and there is even a possibility of human error in this section. But by taking advantage of machine vision features and defining the correct structure on the images prepared by image processing, it is possible to assign repetitive tasks to artificial intelligence. Machine vision can reduce the percentage of errors, maintain the continuity of the process, and reduce personnel costs.

Currently, AI systems are used in simple and complex modes in different businesses. You will be able to upgrade your AI platforms by using Lenava’s artificial intelligence consulting services.

It is possible to perform computer operations based on today’s technology only by talking or general gestures! The premium services provided by Lenava Engineering Group will make special use of AI services for the customer’s desired business. Financial reports, orders, personnel activity statuses, warehouse inventory, and even specific market analyses can be prepared with just a simple conversation. The use of voice assistants is very common in the world, and there will be no need for a human agent who is proficient in processing systems. Increasing speed, accuracy and efficiency will be one of the main advantages of natural language processing by Lenava for your organization.

Every business in the world will need knowledge, data and the right tools to reach its goals. AI services mean creating a suitable platform to increase the prediction of profitability and efficiency and not wasting your company’s time. By using Lenava Engineering Group AI services, you will be a few steps ahead of your competitors to take advantage of the leading services in your field of activity. Contact the experts of Lenava Group and find out about the exclusive consulting services about AI in your business.

Until the last few years, an organization’s high number of personnel and employees was considered a sign of its power. But currently, only the efficiency of the system and the final output are considered by internal experts and managers. It is possible to increase the efficiency of the organization by predicting the future path, reducing human errors, increasing the speed of preparing reports and processing vital information resulting from AI services.