Artificial Intelligence: The Basics

What is Artificial Intelligence?

Artificial Intelligence (AI) is an approach to making a computer, a robot, or a product to think how smart humans think. AI is a study of how the human brain thinks, learns, decides and works when it tries to solve problems. And finally, this study outputs intelligent software systems.

Examples of AI technology

Automation: What makes a system or process function automatically.
Machine learning: The science of getting a computer to act without programming.
Machine vision: The science of allowing computers to see.
Natural language processing (NLP): The processing of humans, and not computer language, by a computer program.
Robotics: A field of engineering focused on the design and manufacturing of robots.
Self-driving cars: These use a combination of computer vision, image recognition and deep learning to build automated skills for piloting a vehicle while staying in a given lane and avoiding unexpected obstructions, such as pedestrians.

Common Examples in Everyday Life

Siri, Alexa and other smart assistants
Self-driving cars
Conversational bots
Email spam filters
Netflix’s recommendations
How is Artificial Intelligence helping Performance in Services?

Artificial Intelligence has made its way into several areas.

AI in healthcare. The biggest bets are on improving patient outcomes and reducing costs. Companies are applying machine learning to make better and faster diagnoses than humans.

AI in business. Robotic process automation is being applied to highly repetitive tasks normally performed by humans. Machine learning algorithms are being integrated into analytics and CRM platforms to uncover information on how to better serve customers.

AI in education. AI can automate grading, giving educators more time. AI can assess students and adapt to their needs, helping them work at their own pace. AI tutors can provide additional support to students, ensuring they stay on track. AI could change where and how students learn, perhaps even replacing some teachers.

AI in finance. AI in personal finance applications, such as Mint or TurboTax, is disrupting financial institutions. Applications such as these collect personal data and provide financial advice. Other programs, such as IBM Watson, have been applied to the process of buying a home. Today, the software performs much of the trading on Wall Street.

AI in law. The discovery process, sifting through documents, in law is often overwhelming for humans. Automating this process is a more efficient use of time. Startups are also building question-and-answer computer assistants that can sift programmed-to-answer questions by examining the taxonomy and ontology associated with a database.

* AI in manufacturing. This is an area that has been at the forefront of incorporating robots into the workflow. Industrial robots used to perform single tasks and were separated from human workers, but as the technology advanced that changed.

What are the 4 Types of Artificial Intelligence?

The four A.I. types are

Reactive Machines

Reactive Machines perform basic operations. This level of A.I. is the simplest. These types react to some input with some output. There is no learning that occurs. This is the first stage for an A.I. system.

Limited Memory

Limited memory types refer to an A.I.’s ability to store previous data and/or predictions, using that data to make better predictions. With Limited Memory, machine learning architecture becomes a little more complex. Every machine learning model requires limited memory to be created, but the model can get deployed as a reactive machine type.

Theory of Mind

We have yet to reach the Theory of Mind artificial intelligence types. These are only in their beginning phases and can be seen in things like self-driving cars. In this type of A.I., A.I. begins to interact with the thoughts and emotions of humans.

Self Aware

In the distant future, perhaps A.I. achieves nirvana. It becomes self-aware. This kind of A.I. exists only in stories that bring both immense amounts of hope and fear into audiences. A self-aware intelligence beyond the human has an independent intelligence, and likely, people will have to negotiate terms with the entity created.
Artificial intelligence generally falls under two broad categories:

Narrow AI: Sometimes referred to as “Weak AI,” this kind of artificial intelligence operates within a limited context and is a simulation of human intelligence. Narrow AI is often focused on performing a single task extremely well and while these machines may seem intelligent, they are operating under far more constraints and limitations than even the most basic human intelligence.

Artificial General Intelligence (AGI): AGI, sometimes referred to as “Strong AI,” is the kind of artificial intelligence we see in the movies, like the robots from Westworld or Data from Star Trek: The Next Generation. AGI is a machine with general intelligence and, much like a human being, it can apply that intelligence to solve any problem.

What Are The Advantages Of Artificial Intelligence?

Increased Efficiency. One of the greatest advantages of AI systems is that they enable humans to be more efficient. AI can be leveraged to perform small, repetitive tasks faster, or it can be used to complete much larger, more complex tasks.

Improved Workflows. Deep learning technologies like natural language processing (NLP) and automated speech recognition (ASR) have transformed the way people work in professions like education, media and entertainment, and Policing.

Lower Human Error Rates. The human brain can only focus on one task for so long before that focus starts to slip. But AI systems don’t have to focus — they’re programmed for their function.

Deeper Data Analysis. AI systems can process and analyse massive amounts of data at remarkable speed. AI systems can quickly find relevant information, identify trends, make decisions, and offer recommendations based on your historical data.

More Informed Decision Making. Algorithms attempt to draw a conclusion based on historical data. This data can then be analysed and customer classifications can be created to target individuals.

24 / 7 Availability. Machines don’t take breaks. Digital assistance solutions like chatbots are available to take customer inquiries no matter the time of day.