The top 10 AI models driving human-free decision-making

The top 10 AI models driving human-free decision-making

Artificial Intelligence is everywhere. More and more aspects of our daily lives, both at home and at work, are touched by the functions of AI-driven processes.

When you use online banking, or facial recognition, or even the navigation app on your cellphone while driving, you are benefiting from the growth of AI.

ZirconTech, as a leading developer of software development solutions for a wide variety of partners in the USA and elsewhere, is highly expert in artificial intelligence programming and the concept of machine learning generally. We have written before about the difference AI initiatives can make to the strategic and day-to-day operation of your business.

But what are the most important AI models? And what are the fields in which they deliver great solutions for businesses and industries?

What are the top 10 AI models?

An AI model is a device or algorithm through which data can be processed to enable decision-making without the need for human intervention. Effectively, AI programming languages replicate the function of the human brain and simulate the way people think.

Given the right quality of information, AI models can recognize patterns and solve complicated problems involving huge amounts of data quickly and accurately.

Given the right quality of information, AI models can recognize patterns and solve complicated problems involving huge amounts of data quickly and accurately. The most popular AI models include:

  • Linear Regression
    These AI models are used in various large industries including finance, healthcare, and insurance. This model has its roots in supervised learning and is able to predict the value of a dependent variable based on independent variables.
  • Deep Neural Networks
    These networks are characterized by their multiple layers between input and output. They are consciously modeled on the operation of the neural network of the human brain. Applications include facial and image recognition, as well as speech recognition.
  • Logistic Regression
    This is one of the most popular AI models, and it is used to solve binary classification questions by making accurate predictions based on a set of independent variables.
  • Decision Trees
    A decision tree gets its name because of the way data is broken down into ever smaller pathways – much like the branches and twigs of a tree. It is used to convert past data and decisions into accurate conclusions.
  • Linear Discriminant Analysis
    Closely related to the logistic regression model, this type of analysis is applied usually when a number of classes need to be separated in the final output rather than as a binary decision. It is used in areas such as medicine and computers.
  • Naïve Bayes
    The Bayes theorem relates to the likelihood of an event occurring based on a previous event. This AI model is based on the fact that assumptions should not be relied upon – hence the word “naïve”. It is used in areas including medical data and spam filters.
  • Support Vector Machines
    One of the AI models best suited for binary classifications. It performs quickly in situations where the data set is made up of limited samples.
  • Learning Vector Quantization
    Known as LVQ, this is a model that processes data by using codebook vectors that then classify other vectors. It is one of the AI models most suited to multi-class classification problems.
  • K-nearest Neighbors
    The kNN algorithm works on the assumption that similar pieces of data exist near each other. It is a supervised machine learning model that can solve both regression and classification problems.
  • Random Forest
    This model is so named because it uses multiple decision trees to solve regression and classification problems. By doing this, it creates a forest of these trees, and by combining the resulting outputs it can arrive at accurate predictions.

Where are AI models used?

self driving panel control, related to artificial intelligence

OneThe results of machine learning, and the benefits of AI-driven processes, are all around us on a daily basis. Some examples of areas of our lives that have been revolutionized by the development and application of AI programming languages include:

  • e-Commerce: Every time a recommendation is made to you by an online shopping platform, it is based on an algorithm that uses your past purchases to predict likely future ones. The use of machine language in artificial intelligence is also behind many live chat functions, while AI models also help major commercial operators in the area of fraud prevention.
  • Travel: Autonomous vehicles are one of the next major developments in the automotive industry, and at their heart are AI models that enable vehicles to react instantly to external factors and ensure their occupants’ safety. Likewise, GPS technology is based on the assimilation of various pieces of external data to arrive at a decision that guides you to your destination.
  • Healthcare: Increasingly sophisticated machines use AI models to detect serious diseases, including cancer. They can also analyze medical data to ensure early diagnosis of disease, and can use historical data to drive the discovery of new drugs.

How ZirconTech can help you with AI models

At ZirconTech, we have extensive experience in AI programming languages, machine learning and artificial intelligence programming generally. That means we are ideally placed to partner with your business as you implement AI initiatives and AI-driven processes.