What is AI and why does business need it?

In this article, we’ll break down what exactly AI is and how it benefits businesses.

Artificial Intelligence (AI) is a branch of computer science focused on creating systems and programs that perform tasks that typically require human intellect.

These systems are capable of analyzing data and extracting insights, enabling machines to learn from experience, adapt to new information, and carry out tasks that require intellectual capabilities.

Narrow AI (Weak AI)
Specializes in solving specific tasks. Has a limited area of expertise and lacks self-awareness or general intelligence. Examples include voice assistants like Siri and Google Assistant, which feature recommendation systems, automatic classification algorithms, and similar functionalities.

General AI (Strong AI)
This type possesses the ability to understand, learn, and perform tasks across multiple domains, akin to human intelligence. It can solve diverse problems and adapt to new information. However, this level of AI has yet to be achieved.

Superintelligence (Higher-Order AI)
Represents a hypothetical level that surpasses human intelligence in all respects. Not only can it understand and solve problems, but it also exhibits self-awareness, creative thinking, and the capacity to improve itself.

Implementing AI in business brings numerous advantages aimed at improving the quality of decision-making. Here are several key reasons why AI is beneficial for businesses:

Process Automation
Helps streamline repetitive and labor-intensive tasks, reducing the likelihood of errors and boosting productivity. This allows employees to focus on more creative and strategic tasks.

Data Analysis
Enables the processing and analysis of massive amounts of information, identifying crucial trends and patterns that aid companies in making more informed and predictable decisions.

Enhanced Personalization
Facilitates personalized interactions with customers by delivering tailored products, services, or recommendations that align with their preferences and needs.

Forecasting and Planning
Provides accurate forecasts and analyses of future events based on data, assisting businesses in optimizing manufacturing, logistics, and financial processes.

Improved Customer Service
Offers prompt and high-quality customer support, such as through chatbots that can answer queries and resolve issues in real-time.

Example:
Let's consider company 'ABC', which runs its own store. By leveraging AI to analyze purchasing data, customer behavior, and trends, the business can deliver personalized recommendations to customers, enhancing their shopping experience. Additionally, it can optimize inventory management by automatically predicting which products will be in demand in the future, preventing stock shortages or excess inventory.

Thus, we see that integrating AI into business processes makes operations smoother and more efficient.

Machine learning (ML) is a subfield of AI that focuses on developing algorithms and models that enable computers to learn from data and experience, performing tasks without explicit programming. The core idea behind machine learning is that systems can automatically improve their performance as they accumulate more experience.

For a machine to make decisions, it needs three components:

• Algorithm: A set of instructions for the computer, specifying what to do and how to use the data. For example, a piece of software we write to categorize different types of clothing: "T-shirts", "Shoes", "Pants".
• Dataset: The examples on which the machine learns. These can be images, videos, texts, and more. In the case of clothing, we would need many pictures of different types of apparel. The more examples there are, the better, as it builds up experience, similar to how humans learn from experience.
• Features: These are the attributes the machine pays attention to when making decisions. If we are teaching the machine with supervision, we define the features ourselves, such as the type of clothing and its category. If the learning is unsupervised, we feed all the data to the machine, and it looks for patterns on its own. We can intervene if necessary to help it understand or correct its conclusions.

Deep learning is a subset of machine learning that relies on neural networks. It's particularly useful in image processing, speech recognition, and even autonomous vehicle development.

For instance, an automobile factory working on autonomous cars that can adapt to road conditions and the behavior of other vehicles uses deep learning techniques.

Typical applications include:

• Computer Vision: Object detection, image segmentation, face recognition, etc.
• Natural Language Processing (NLP): Tasks like automatic translation, sentiment analysis, and text generation.
• Recommendation Systems: Providing personalized suggestions in online stores and streaming platforms.

Natural Language Processing (NLP)
NLP is an AI discipline that empowers computers to analyze and understand human language. In business, it is utilized for automating customer interactions, analyzing reviews, and generating content.
An example is chatbots that communicate with customers in natural language, answering their questions and improving overall customer service.

Developing artificial intelligence is an exciting and promising path that can be pursued either independently or by outsourcing the task.
It’s important to recognize that this process can be lengthy and complex. Each phase—from preparing data to choosing algorithms and tuning parameters—requires considerable time and meticulous execution.

However, by entrusting the development of an AI model to our team, you can reap some significant benefits:

Expertise and Experience
We know which methods and technologies are best suited for specific tasks, and we can guarantee quality and effectiveness.

Efficiency and Time-Saving
Outsourcing the development to us means you won’t have to spend valuable time studying intricate details and dealing with each development stage.

Custom Approach
We understand that every project is unique, and will carefully listen to your requirements and tailor the development specifically to your needs, crafting a model that perfectly matches your goals.

Guaranteed Results
Our experience helps us avoid common pitfalls, leading to a successful completion of your project.