Everything You Need to Know About Artificial Intelligence in 2025
10 min read
24 Apr 2025
Brendan
Artificial Intelligence
Artificial intelligence or A.I have been trending globally since last year and we expect it to go the extra mile this year. From ChatGpt, Grok, Claude, Gemini, and DeepSeek to Midjourney, etc. Various forms of A.I Systems is taking center stage worldwide and shaping up the global digital industry.
Below, we’ll go through all you need to know about Artificial intelligence, from its history to how it will be important for your business to adapt no matter the industry.
It is difficult to define Artificial Intelligence (AI). To date, there is no universally accepted definition.
At its simplest, it refers to the ability of machines to perform tasks that normally require human intelligence. These tasks include learning, reasoning, visual perception, speech recognition, decision-making, and understanding natural language. Simple tasks and complex tasks. It is based on the idea that a machine can be programmed to imitate how a human thinks and acts.
The European Commission defines it as software and hardware systems designed by humans, which, when faced with a complex problem, act in the physical or digital dimension, either by perceiving their environment, through the acquisition and interpretation of structured or unstructured data; or by reasoning about knowledge, processing the information derived from this data and deciding on the best actions to achieve the given objective.
Simplifying AI in 2 ideas:
Artificial intelligence is an area of computer science that studies how to perform tasks that require intelligence, such as learning, reasoning, and perception. Such systems can: perceive the environment, reason about knowledge, process information obtained from data, and make decisions to achieve a goal.
How do you achieve these results? Through pattern recognition, decision-making, and problem-solving.
Origins and History of Artificial Intelligence
Below, we’ll share briefly the origin and history of artificial intelligence:
Science fiction: Robots and intelligent machines appear for the first time in literature and film. New concepts are postulated as basic elements of popular culture.
Mathematicians Norbert Wiener and John von Neumann laid the groundwork for artificial intelligence. McCarthy defines it as “ the science and engineering of making intelligent machines, especially intelligent computer programs .”
Warren McCullough and Walter Pitts publish their article "A Logical Calculus of Ideas Immanent in Nervous Activity". It presents the first mathematical model for the creation of a neural network.
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AI is born: The first neural network computer. Created by two Harvard students: Marvin Minsky and Dean Edmonds. That same year, mathematician Alan Turing asked himself a question: Can machines think? Alan Turing wrote the article "Computing Machinery and Intelligence" and the subsequent "Turing Test" laid the foundations of artificial intelligence, its vision, and its objectives.
Trailer for the film 'Cracking the Imitation Game' about the life of Alan Turing and his important contribution to the world of science and technology.
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Arthur Samuel creates software capable of learning to play chess autonomously.
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The term "artificial intelligence" was first heard by John McCarthy at the Dartmouth Conference, which brought together the best scientists of the time to discuss the possibility of creating a machine that could think like a human being.
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Arthur Samuel mentions the term Machine Learning while working at IBM. Meanwhile, John McCarthy and Marvin Minsky founded the MIT Artificial Intelligence Project.
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John McCarthy creates the “AI Lab” at Stanford University.
The years of doubts:
After several years, research became less frequent and less important, and a period of discredit began. This period of doubt lasted until 1980, and is called the “first AI winter”. That winter ended with the creation of R1 (XCON) by Digital Equipment Corporations.
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The American ALPAC report highlighted the lack of progress in research.
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The British government published its “Lighthill” report highlighting the disappointments of AI research.
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Confidence resurfaces: IBM's Deep Blue AI triumphs over world chess champion Gary Kasparov. For the first time, a man was defeated by a machine.
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Google makes major strides in voice recognition for smartphones.
10 million YouTube videos are uploaded as a training dataset. Using Deep Learning, this neural network learned to recognize a cat without being taught what a cat is.
Artificial intelligence conquers the field of video games.
DeepMind AI with Google's AlphaGo system triumphs over humans, over Lee Sedol, champion of Go.
Types of Artificial Intelligence
There are several ways to classify AI, but according to the definition of the European Commission, there are two types of AI:
According to the book «Artificial Intelligence: A Modern Approach», Stuart J. Russell and Peter Norvig establish four types of artificial intelligence:
According to its power, artificial intelligence can be divided into;
Weak AI or Narrow AI: These are systems designed to perform specific and limited tasks. They are limited. They cannot learn.
General or Strong AI: With cognitive skills and learning ability. Has the ability to reason, plan, and make complex decisions.
Superintelligent AI: A type of AI that surpasses human intelligence in every aspect. It is capable of understanding the world in ways beyond human capability, and capable of solving complex problems at a speed and efficiency that humans cannot match.
It is a theoretical form of AI that has not yet been developed into practice.
2022 has been the year of the total expansion of AI. All the media attention has been directed towards the following tools, capable of creating and generating:
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Artificial Intelligence Categories |
Artificial Intelligence Tools |
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Language Models |
ChatGPT, DeepSeek, Grok, Germini, Bing Chat |
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Images |
DALL-E, CLIP, StyleGAN 3, Stable Diffusion, Midjourney |
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Audio |
DeepSpeech, Wav2Vec 3, QuartzNet, Whisper |
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Music |
MuseNet, Amper Music, AIVA |
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Programming Code |
GPT-Codex, Cursor, GitHub Copilot, Deep TabNine |
How AI Works
Artificial intelligence works with algorithms and computer systems. With them, it learns from data and improves its results as it is exposed to more information. They make decisions based on patterns and rules established through machine learning, improving their accuracy and efficiency over time.
A prompt is an instruction given to AI to perform a task. Prompts can be simple or complex.
Here are some details on how to make a good prompt:
Machine learning and deep learning are the two main artificial intelligence techniques in use today. However, the distinction between AI, ML, and DL can be confusing, and below we’ll briefly talk about them.
It is the process of feeding data to a computer. The machine analyses data to 'learn' how to perform a task. To do this, it does not need any specific programming with millions of lines of code. That is why it is called 'machine' learning.
Machine learning can be 'supervised' or 'unsupervised'. Supervised learning is based on labeled data sets, while unsupervised learning is based on unlabeled data sets.
Deep Learning is a type of Machine Learning directly inspired by the architecture of the neurons in the human brain. It allows the machine to 'go deeper' in its learning, identifying connections and altering the data entered to achieve the best results.
According to ExpodingTopics, the AI market is currently valued at a stunning $390 billion and is expected to increase 5x in the next five years. Also, by the end of 2025, it is expected that about 97 million people will be working in the AI industry.
Businesses like Netflix make about $1 billion annually from automated and personalized recommendations. How else is artificial intelligence influencing businesses today? Below we discuss some of them:
For companies who want to understand their customers better, AI is the perfect tool for this. It makes it easier to obtain information from different sources and compile it into a single source of information.
Obtaining information takes too much time, leaving time little time for making decisions. Extracting data with AI has three advantages:
The use of A.I ensure that businesses are capable of doing more with less and reduced expenses. Some of the ways businesses use A.I in this aspect are:
“Prompt engineer” was an unknown profession at the beginning of 2023. Today it is widely used and utilized. 66% of companies have already hired people with specific knowledge of this technology and we expect this to increase in the near future.
Back in 2022, 65% of companies were victims of fraud or were on the verge of one. A crime is financially and legally damaging. AI can help detect anomalies in data: unusual expenses, strange payments, etc.
Companies use A.I to analyze customer opinions, what aspects need to be improved, or what new products the customer would like. Additionally, AI algorithms can also assist in product design and usage patterns. They help speed up the product development process from start to finish with rapid prototyping.
Benefits of AI for Businesses
There are many benefits you can get by integrating artificial intelligence into your business. Below, we share some of the benefits of using A.I for your business.
In our daily lives, we use Artificial Intelligence in a multitude of applications and services. Sometimes without even being aware of it. Below, we share some examples:
The future of artificial intelligence is very exciting. Some of what is to come is yet unknown while we already can predict what is here or come here shortly:
Despite the enormous possibilities it offers, we must not forget several concerns associated with artificial intelligence:
Artificial intelligence is still in its early stages even though much has been accomplished. The benefits of this new technology and its future are very important to humanity and every business. Would you want to integrate an AI process into your digital business? Zyento is here to help.
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