Introduction to AI

AI is the technology that allows computers to learn, reason and problem solve. It's a branch of computer science that deals with giving machines the ability to do things normally associated with human intelligence.
AI can be applied across many industries and sectors including healthcare, finance, transportation and more. In this article we'll look at how AI works as well as some examples of its potential uses today so you can understand how it might affect your life in the future!

AI and Automation

AI and Automation in Business
AI has been used to automate jobs that are repetitive, mundane, or boring. These include:

  • Data entry

  • Customer service chatbots (helpdesk)

  • Fraud detection and prevention
    AI can also be used to improve productivity by automating tasks that are difficult for humans to do. This includes:

  • Machine learning algorithms that analyze data sets and make predictions based on historical trends or data patterns

The Benefits of AI

AI technology is capable of automating many tasks that are currently performed by humans, which can result in increased efficiency and productivity. This can be particularly beneficial for companies with large workforces, as it allows them to reduce their operating costs by reducing the number of employees needed to perform certain tasks.
In addition to increasing efficiency and productivity, AI has been shown to improve decision making abilities as well as reduce errors made during the decision-making process. For example: if you're planning a vacation but don't know where you want go next month, an AI assistant could help narrow down options based on factors like price range or preferred activities (e.g., hiking vs surfing). The result? You'll have more time enjoying yourself than searching through endless websites trying find somewhere new! Artificial Intelligence is a branch of computer science that deals with giving machines the ability to do things normally associated with human intelligence. As we'll see below, there's a lot more to AI than just robot helpers and self-driving cars!

AI and Machine Learning

Machine learning is a subset of artificial intelligence that focuses on the development of computer programs that can learn from data without being explicitly programmed. Machine learning algorithms are used to make predictions about future events and make decisions based on historical data, without being explicitly programmed to do so.

Machine learning is a type of predictive analytics that uses historical data to predict future outcomes in order to optimize business processes or personalize user experiences for maximum impact.

AI and Big Data

Big Data is the term used to describe an enormous amount of data that can be analyzed to reveal trends, patterns and other useful information. Big data comes from many sources including social media platforms like Twitter or Facebook; sensors in cars, homes and offices; medical records; satellite images and GPS coordinates.
Big Data works by analyzing large amounts of information quickly so you can make better decisions faster than ever before. For example: if you want to know what customers like about your product or service, you could survey them individually using traditional methods such as phone calls or emails--or use Big Data analytics tools like Google Analytics which will show you how many people visited your website yesterday (and where they came from), how long they stayed on each page before leaving etcetera

AI and Robotics

Robotics is the study of robots and their design, manufacture, application, and integration into society. Robots are machines that can perform tasks with varying degrees of autonomy. They can be used in many different industries to perform jobs which are hazardous or otherwise too difficult for humans to do.
Robots can be classified by their behavior:

  • Active - these robots move around under their own power; they include mobile robots such as self-guided vehicles and drones.

    • Passive - these do not move around but instead remain at one place waiting for an external stimulus such as light or temperature changes before responding; examples include alarm systems which detect motion through infrared sensors (night vision goggles), burglar alarms which detect vibration through pressure mats placed at entrances/windows etc., smoke detectors which respond to changes in humidity levels caused by smoke entering the room etc., fire alarms triggered by rapid temperature increases caused by flames reaching high temperatures within seconds after ignition point has been reached Active - these move around and seek out stimuli; examples include heat-seeking missiles which use infrared sensors to detect changes in temperature caused by jets, smart bombs which follow radio signals from nearby aircraft (GPS), cheetahs which can accelerate from 0 to 60mph in 3 seconds due to their body shape/size etc. Active - these are able to move around in response to various stimuli; examples include air purifiers and humidifiers which can be set up in a room to clean and moisturize the air, fans which blow air around the room to cool it down etc., alarm systems which detect motion through infrared sensors (night vision goggles), burglar alarms which detect vibration through pressure mats placed at entrances/windows etc., smoke detectors which respond to changes in humidity levels caused by smoke entering the room Active - these are able to move around in response to various stimuli; examples include air purifiers and humidifiers which can be set up in a room to clean and moisturize the air, fans which blow air around the room to cool it down etc., alarm systems which detect motion through infrared sensors (night vision goggles), burglar alarms which detect vibration through pressure mats placed at entrances/windows etc., smoke detectors which respond to changes in humidity levels caused by smoke entering the room Passive - these are unable to move around and rely on other means to detect changes in their environment; examples include humidifiers which emit water vapor into the air which then condenses as droplets onto a sensor pad inside the device, air purifiers which use filters to trap small particles such as dust and pollen etc., smoke detectors which respond to changes in humidity levels caused by smoke entering the room.