What Is The Main Aim Of Artificial IntelligenceNov 12, 2019 5743 seen
The general concepts of AI and machine learning are not that foreign to us as they have been heavily investigated by popular media, especially the recent years. So what is the main aim of artificial intelligence? There are a lot of movies showing us a reality where AI-enabled machines and robots hold the dominating power and in some scenes, robots are in endless competition with humanity. Of course, these have triggered, to a good extent, lots of negative impressions about AI and machine learning among the average people. However, despite how negatively can movies demonstrate the power of machine learning and AI, the stated technologies are indeed transforming average human lives into better ones. Several common industries are impacted by machine learning and AI. Let's explore some of them.
- Internet tools
- Banking and financial services
- Healthcare services
- Transportation industry
- Taking over hazardous and tedious jobs
- Online hopping
- Home Automation and security
Internet Tools/ Image To HTML Converter
There are plenty of internet tools, apps, websites, etc, which are now aimed to be facilitated through AI. Such as Fronty's image to HTML converter, which is also powered by AI, and this makes the traditional website creating process way easier and faster. IN another AI case, most people have experienced when someone uploads a picture to Facebook, and the face gets highlighted automatically, suggesting friends to tag. Have you ever wondered how it can find out which of your friends is in the picture? RIght, Facebook also uses AI and machine learning techniques to recognize faces. It also uses the technologies to personalize its users' newsfeed and ensure that they are viewing posts that interest them. The recent years, almost all social platforms including Pinterest, IG, etc leverage machine learning and AI to maximize user experience.
Banking And Financial Services
It is hard to count the number of people who have and use bank accounts. Consider the number of their associated facilities like credit cards which are in circulation and then picture how many hours human employees of the banking and financial services would have to invest to sort through the transactions that are performed every day or how much effort and time it would take to identify an anomaly? With the help of machine learning and AI, a large number of banks and financial instructions have become able to review the quality of various applications and to analyze and predict risks, to make informed decisions. The traditional aspect is implementing AI and machine learning to improve user engagement. With the help of high-end technologies, such as predictive analysis, chatbots, voice recognition and so on they minimize the gap between potential customers and financial institutions.
Machine Learning and AI both have already acquired a significant part in our health and well-being. From being utilized for faster patient diagnosis to the prevention of illnesses. The technologies are now used regularly by lots of healthcare service providers. And now, it is possible to foretell the potential health hazards a person may be susceptible to, depending on their genetic history age, or socio-economic status. It is not a secret that that could not be done before the emergence of machine learning and AI, as with the help of AI and machine learning-powered programs, the healthcare-service providers can cross-reference symptoms against databases that contain millions of cases of illnesses to expedite the process of diagnosing disease and illness. With the help of the present technologies, it is also possible to save human lives through faster and appropriate treatment.
Millions of people use email these days for a large number of purposes. It may sound weird, but your email inbox is a place where advanced technologies take place regularly. There are two main fields where email service providers use machine learning and artificial intelligence. First - the advanced spam filter. It is not like plain rule-based filters that are not much effective against spam as spammers can update their messages faster to work around them, advanced spam filters continually learn from a wide range of signals like message metadata words in the message and so on to prevent spam. The second aspect - smart email categorization. You probably have seen that Gmail uses an approach to categorize the emails into primary, social inboxes, and promotions. For example, when some messages are marked in a constant direction by a user, a real-time increment to that threshold is performed by Google to achieve appropriate categorization.
There is a big influence on machine learning and artificial intelligence on the nowadays' transportation industry. The two technologies have been instrumental in reducing threats triggered by reckless driving via the deployment of automation and sensory management. Some vehicles can understand their surrounding horizons and parameters and thus, can take precautionary measures whenever needed to ensure passenger safety. Besides the vehicles, machine learning and artificial intelligence technologies are to be deployed soon to prevent traffic congestion on roads and for traffic management.
Taking Over Hazardous And Tedious Jobs
Machine Learning and artificial intelligence may seem to be a boon to humanity when we think about the fact that they liberate humans and enable them to concentrate on the thanks in which they excel. These technologies take care of a large range of tedious tasks that have to be done to attain different results. Machines excel in performing cumbersome tasks, leaving enough time and room for humans to focus on more creative fields of business. For instance, in the financial sector, machine learning and artificial intelligence help financial analysis to get more relief from the monotonous nature of their jobs and concentrate on deeper analysis and also the research of all-around customer experience. When it comes to hazardous jobs, such as bomb disposal or welding, and so on, we know artificial intelligence and machine learning are the priority to help the professionals to a great extent.
Online shopping has become almost an indivisible part of life for today's online customers. Do you know or have you wondered how e-commerce websites quickly return with a collection of the most relevant items related to your search? Machine learning and artificial intelligence are again the technologies that make it all possible. On their product pages, home pages, etc personalized recommendations are examples of their deployment. Machine learning and AI are deployed to not only avert fraudulent transactions but to lower the number of legitimate transactions that are declined because of being falsely marked as fraudulent.
Home Automation And Security
When it comes to our security, a remarkable number of homeowners are deploying cutting-edge systems that are deploying high-end cameras and security systems powered by machine learning and artificial intelligence. These systems are capable of building a catalog of the frequent visitors of a home and thus, can detect uninvited guests instantly. Smart homes now are ready to offer a multitude of different types of useful features like providing notification when the kids come back from school and so. So combining with appliances machine learning and artificial intelligence can make household management and housework seamless. Almost everything you could not even imagine a few years ago now is possible through the two key technologies.