Neural networks for business: how AI can automate the work of an enterprise and increase employee KPIs

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Neural networks for business: how AI can automate the work of an enterprise and increase employee KPIs
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Today we will take a journey into the world of modern technologies, I will tell you how AI not only solves existing problems and automates business processes, but also opens up new opportunities for growth and development.

What is AI and why does business need it?

Neural networks are becoming one of the most relevant tools for business. They forecast demand and other factors, calculate patterns, automate many tasks, including interaction with customers, and many other tasks that we will look at today.

Taken together, AI solutions can optimize decision making, customer experience, and efficiency across all industries.

Before exploring how artificial intelligence technologies are impacting entrepreneurs, it is important to define the term.

AI is a broad term that refers to any type of software that performs human-like activities, including learning, planning, and problem solving.

Calling specific services artificial intelligence is like calling a car a vehicle—technically correct, but not covering any specifics.

To understand which type of AI is dominant in business, you have to dig deeper.

Machine learning is one of the most common types of artificial intelligence being developed today. Machine learning is mainly used to quickly process large amounts of data. These types of AI are algorithms that “learn” over time.

AI for business
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Machine learning allows you to quickly analyze data as it comes in, identifying patterns and anomalies. As an example, if equipment in an enterprise is operating at reduced performance, a machine learning algorithm can track this and notify the necessary people that it is time to carry out maintenance. service.

Deep learning is an even more sophisticated version of machine learning that uses neural networks to engage in what is called nonlinear reasoning. This type of AI opens the door to more complex functions, such as fraud detection. This occurs by simultaneously analyzing a wide range of factors.

Deep learning has great promise in business and is likely to be used more often.

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Older machine learning algorithms lose functionality after collecting a certain amount of data, while deep learning models continue to improve their performance as they receive more input.

Let’s move on to the most interesting part and consider which processes can be transferred to AI technologies!

TOP 10 tasks whose performance will increase exponentially using neural networks

Data entry automation

Using services and add-ons based on ChatGPT (for example, Numerous.Ai), you can automate the filling of cells and documents, enable automatic generation of reports, as well as analyze incoming mail and collect information in Doc.

Forecasting

AI is capable of forecasting trends, demand, seasonality, etc., and calculating hidden patterns, both from incoming data and from a specific request.

Data collection and analysis

Neural networks quickly collect information from any source, recognize objects, and can also analyze big data.

Employee training

Adaptive training and automated testing: AI can analyze an employee’s profile and generate content that best matches their knowledge and capabilities, accelerating the learning process and increasing staff efficiency.

Customer interaction

AI automates customer service through chatbots, providing quick responses 24/7, and analyzes user behavior to improve service and understand customer needs.

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AI in video surveillance

Using AI tools, you can track the work of the warehouse and the company’s employees in an automatic reporting format based on specified indicators. In stores, video analytics systems collect data on the behavior of customers and staff.

Control and optimization of employee work

Neural networks can collect real-time employee performance data by analyzing work processes and results. This includes tracking time spent in various applications and systems, as well as analyzing the quality of work performed.

SEO optimization

AI analyzes search engine algorithms, optimizes content for key queries and predicts SEO trends, improving site visibility and increasing its rank in search results.

Help with targeting

Neural networks analyze the target audience, predict its interests, and also automate the creation of advertising campaigns and optimize budget allocation to increase the ROI of the target.

AI in marketing

AI algorithms can predict customer behavior, automate mailings, optimize and create content and SEO for Kazakhstan, analyze big data to create effective strategies, and much more.

Which industries require the introduction of AI and what are the benefits

Today, there are growth points and opportunities for introducing innovative technologies everywhere. However, all solutions require an individual approach.

AI for business
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Let’s take a look at how AI can be applied to some major industries:

  • Warehouse and logistics: neural network algorithms help optimize warehouse operations by predicting demand and automating inventory management and inventory. Predicting optimal delivery routes reduces transportation time and costs.
  • Production: AI can be used to monitor and analyze production processes, the need for equipment maintenance, control of personnel actions, etc.
  • Retail: Using AI to analyze customer behavior and preferences allows you to create personalized offers, optimize assortment and improve the customer experience.
  • Education: AI tools can be used to personalize material, automatically evaluate work and adapt materials to the needs and level of knowledge of users, as well as to search and create information products.
  • Services: In the service sector, AI can improve the quality of service through chatbots, personalize offers based on analysis of customer behavior, needs and satisfaction.

We all know that the most valuable resource is time. In addition to significant time savings due to the automation of many business processes, the use of neural networks can improve the quality of work performed.

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If we talk about the benefits that absolutely any business will receive as a result of the implementation of AI, then we can highlight 3 main indicators:

  1. Informed decision making: Using AI, businesses will always have deep analytics and predictive models, which in turn will allow them to make more informed, faster and more accurate decisions.
  2. Increased customer satisfaction: neural network algorithms allow us to accurately identify client needs, adapting products and services to the individual needs and preferences of each user, which significantly improves their experience of interacting with the company.
  3. Marketing optimization: AI technologies allow you to conduct in-depth analysis of your target audience, predict and track trends, and create high-quality content to increase the click-through rate of advertising campaigns.

Which neural networks should be used and who should do it?

As I said earlier, every task is unique. It is impossible to choose a universal solution, as well as a universal employee who will be the only one to interact with AI in the enterprise.

The best option is to train staff to work with neural networks as part of their duties. As my practice of introducing AI into the business processes of entrepreneurs shows, just 1-2 days is enough for an employee to immediately begin to apply the acquired knowledge in practice and save hours of working time every day.

Below are the most popular tools that you can start using yourself right now. Use it!

ChatGPT: can be used to create texts, generate images (in version 4), answer complex questions, calculate, etc.

Numerous.Ai: a plugin for Excel and Google Sheets that allows you to automate their filling and access ChatGPT not leaving the tables.

Rytr: An online automatic content generation tool that helps users create text in a variety of formats, including blog posts, advertisements, emails and more.

Uberduck: Known for its speech synthesis and voice generation capabilities, the platform allows users to create speech content using a variety of voices, including famous characters and celebrities.

Synthesia: Another service that uses AI to create video content with virtual avatars speaking different languages. Makes it easy to create training videos, commercials, Reels and corporate presentations without the need for filming or live people.

GitHub Copilot: Developed by GitHub in collaboration with OpenAI, the tool helps programmers write code faster and more efficiently by offering automatic completions and real-time code snippets.

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