You have probably also thought about what is artificial intelligence? Or what distinguishes artificial intelligence compared to machine learning? Or Deep Learning, what is it? Here we explain these and address the area of AI in business systems.
Artificial Intelligence (AI)
AI was first discovered by John McCarthy in 1956 contains machines that can perform functions specific to the human mind. Although it is very general, it involves planning, language comprehension, knowledge of objects and sounds, learning, and problem-solving. AI can also be described as a computer, machine, or program that can perform tasks that normally require human intelligence. It can be anything from voice recognition, visual perception, or decision making. Human intelligence performed by machines simply.
Machine learning (ML)
Machine Learning is used to achieve AI and is a research area within AI that aims to develop machines’ ability to independently understand and handle large amounts of data. The technology is based on algorithms (instead of code) to analyze and learn from the data to make a decision.
Deep Learning (DL)
Deep Learning has “grown out of” Machine Learning. It is an artificial network where the algorithms work as when the neurons of the human brain communicate with each other, with the difference that there is a clear structure from the beginning. It is thanks to Deep Learning that there are self-driving cars, that we can see and prevent diseases and that, for example, Spotify and Netflix can give us accurate music and movie tips.
Example of the difference between Artificial Intelligence (AI) and Machine learning (ML)
Let it be said that you are facing an investment decision and ML can give you advice regarding, for example, an investment in a specific share. But AI can answer that you should not buy shares at all, but gold because AI “thinks for itself” and develops the underlying model.
An alternative description of AI, ML, and DL
There are also other definitions of AI, Ml, and DL where AI is the first wave, ML the second wave, and DL is the third. Examples of this can be that AI is used to recognize people’s emotions from images, ML algorithms bring the images into the system. DL (Deep Learning) would then recognize patterns in faces and emotions from these images.
Business systems and AI
Common areas where we find AI today are customer service and sales automation. A common goal for most companies is to improve customer satisfaction. Take Amazon Dash Replenishment, for example. When your printer from HP, Epson, Brother, or another manufacturer has some ink, a message is sent directly to Amazon to deliver new cartridges.