Artificial intelligence is a subfield of machine learning which uses computers to develop intelligent behavior without human intervention or expertise. The technology can learn on its own and self-execute through programs like robots, drones, smart devices, etc.

The word comes from the Greek and means knowing or having information, knowledge or skill. In simpler terms it is basically the ability of a computer program to perform tasks like analyzing images, playing games, learning languages, driving cars and so on. It’s not only about machines, for example humans who have developed language proficiency can also say to have AI. These days there are quite a few examples of applications of artificial intelligence in different fields like self-driving cars, image recognition software, natural language processing algorithms, robotics, automated processes in manufacturing and much more.

If you want to know how AI works and to get started with AI, read the following article to understand how this technology is evolving :

What Are Some Benefits Of Using AI?

1. Increase Productivity & Efficiency

AI programs help to analyze large amounts of data and come up with insights from that data. Therefore they can help organizations reach their goals by improving productivity and efficiency. That means they save time and effort of employees by simplifying repetitive work and freeing them up to make new connections. Thus an organization can improve overall performance and reduce errors caused by human errors.

2. Self-Improvement And Innovation

AI improves communication and collaboration between members of an organization and allows them to share ideas and solve problems in various areas like marketing and sales. This process is based on automation of routine work in order to simplify organizational tasks and foster innovation through shared experiences.

3. Better Decision Making Process

AI systems generate intelligent decisions based on past data and experience which helps them to respond quickly in complicated situations. A decision is something that is made quickly in response to incoming data but can still be correct or wrong depending on what is being used and how it is analyzed. It requires an expert human brain that can evaluate all incoming data. For example if an insurance company wants to determine whether a person should be insured, its AI system analyzes thousands of records and makes a recommendation which would enable them to make faster and informed decisions.

4. Benefits Of Data Privacy

Data privacy refers to the protection that you provide when sharing your personal information with third parties. However, AI systems have the potential to collect vast quantities of data from people without your permission or consent. So, while using these apps it can gather massive volumes of sensitive information even without users’ knowledge about it.

How Should We Improve Healthcare Systems With Artificial Intelligence?

There are several solutions and ways how AI will shape health care systems at present. Here are some of those technologies:

1. Drones – Drone Technology Can Be Used As Personal Health Assistants. Nowadays we can see drone usage both as medical aid and recreational.

2. Telemedicine Apps and Hospitals – Remote diagnostics can help healthcare professionals do extensive research about patients’ conditions and prescribe treatment plans accordingly. Also, hospitals could implement virtual doctors’ offices to help patients in isolated places.

3. Smart Wearables – Wearable tech like fitness kits, scales, wearable monitoring and even eyeglasses, that use sensors to measure eye movements, heart rate, temperature, blood oxygen levels and many others.

What Will Become Biggest Impact On The Future Use of Machine Learning?

The biggest impact Artificial Intelligence will have on future will be on healthcare systems. When it comes to providing better patient care most health institutions across the world are already adopting AI solutions, such as mobile apps and online services that allow doctors to monitor and manage patients’ health remotely. In 2018 the United States will have 1.5 million health clinics connected to electronic medical record systems. Such tools give doctors a lot of power. They can get access to patients’ medical histories, labs reports, tests results, appointments and scans with just a phone call. And if they need help with any clinical question, they can easily find an answer on Google itself for free. That is where machine learning is going. Many other countries are going to start implementing more advanced versions of AI today, including Europe, Japan, China and India.