In<\/em> the tech domain, there is a huge buzz going around the future abilities of AI and machine learning<\/strong> in terms of how they\u2019ll be impacting our lives. These include high-end things like instant machine translation, self-driving cars, just to name a few. However, AI and machine learning<\/strong> are very much present in these days and they are facilitating human lives in a lot of ways, whether you may realize it or not. In this post, we are going to take a closer look at how these technologies have already started impacting the life of the average people.<\/p>\n

But before delving deeper, let\u2019s have a quick look at what are AI and machine learning<\/strong> basically.<\/p>\n

1- AI and machine learning \u2013 What they are<\/em><\/strong><\/h3>\n

<\/p>\n

Fundamentally<\/em>, AI or artificial intelligence refers to the intelligence demonstrated by the machines. And ML or machine learning is a way using which professionals achieve AI. Machine learning can be considered as the ability of machines to learn utilizing statistical techniques without being programmed explicitly.<\/p>\n

2- Ways AI and machine learning are facilitating average people\u2019s lives<\/em><\/strong><\/h3>\n

<\/p>\n

The<\/em> concepts of AI and machine learning<\/strong> aren\u2019t completely foreign to us as they have been heavily explored by popular media. There are lots of movies which have shown us a world where AI-enabled robots and machines hold the dominating power. And these have triggered, to a good extent, lots of negative impressions about AI and machine learning<\/strong> among the average people. However, despite how negatively movies demonstrate the power of AI and machine learning<\/strong>, these technologies are truly transforming average human lives into better ones. Let\u2019s explore the most common aspects that are being impacted by AI and machine learning<\/strong>.<\/p>\n

2.1- Banking and financial services<\/em><\/h4>\n

<\/p>\n

It\u2019s<\/em> hardly possible to count the number of people that have bank accounts. In addition, just consider the number of their associated facilities like credit cards which are in circulation. Now imagine how many hours human employees of these institutions would have to invest to sift through the transactions that are performed every day? And how much time and effort it would take to identify an anomaly? With the help of AI and machine learning<\/strong>, a huge number of banks and financial institutions have become able to review the quality of various applications and to analyze and predict risks, in an effort to make informed decisions. The so-called traditional industry is implementing AI and machine learning<\/strong> to increase user engagement. High-end technologies like predictive analysis, chatbots, voice recognition etc are helping minimize the gap between potential customers and financial institutions. These days, it\u2019s possible for any customer to contact any of these establishments anytime and from anywhere and receive real-time replies.<\/p>\n

2.2- Healthcare services<\/em><\/h4>\n

<\/p>\n

Both<\/em> AI and machine learning<\/strong> have already acquired a significant part in our well-being and health. From being utilized for faster patient diagnosis to the prevention of illnesses \u2013 these technologies are being used on a regular basis by lots of healthcare service providers. These days, it\u2019s possible to predict the potential health hazards a person may be susceptible to, depending on his\/her genetic history, socio-economic status, age etc \u2013 which was simply unimaginable before the emergence of AI and machine learning<\/strong>. With the help of AI and machine learning<\/strong>-powered programs, 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, saving lives through faster and appropriate treatment. These technologies are also being adapted to expedite research works toward cures of different diseases.<\/p>\n

2.3- Email<\/em><\/h4>\n

<\/p>\n

Almost<\/em> every person uses email these days for a huge number of purposes. It may sound unlikely but your email inbox is a place where advanced technologies take place on a regular basis. There are two key aspects where email service providers use AI and machine learning<\/strong>. First comes the advanced spam filter. Unlike plain rule-based filters that aren\u2019t much effective against spam as spammers can update their messages quickly to work around them, advanced spam filters continually learn from a wide range of signals like message metadata, words in the message etc to prevent spam. Another aspect is smart email categorization. You\u2019ve probably seen that Gmail uses an approach to categorize the emails into primary, promotion, social inboxes. This is made possible with the help of AI and machine learning<\/strong> together with manual intervention from users. When some messages are marked in a constant direction by a user, a real-time increment to that threshold is performed by Google in order to achieve appropriate categorization.<\/p>\n

2.4- Transportation industry<\/em><\/h4>\n

<\/p>\n

There\u2019s<\/em> a heavy influence of AI and machine learning<\/strong> on the present transportation industry can be found. These technologies have been instrumental in lowering threats triggered by reckless driving via the deployment of automation and sensory management. There are vehicles that can understand their surrounding parameters and thus, can take precautionary measures whenever needed to ensure passenger safety. Apart from vehicles, AI and machine learning<\/strong> technologies are to be deployed soon to prevent traffic congestion on roads and for traffic management.<\/p>\n

2.5- Taking over tedious and hazardous jobs<\/em><\/h4>\n

<\/p>\n

AI and machine learning<\/strong><\/em> can seem to be a boon to humanity when we consider the fact that they liberate humans and enable them to focus on tasks in which they excel. These technologies take care of a wide range of tedious tasks that have to be performed in order to attain different results. Machines excel in performing cumbersome tasks, leaving enough time and room for humans to focus on more creative aspects of a business. In the financial sector, for example, AI and machine learning<\/strong> help financial analysts to get some relief from the monotonous nature of their jobs and concentrate on deeper analysis and research of all-round customer experience. In the context of hazardous jobs like bomb disposal, welding etc, AI and machine learning<\/strong> are helping the professionals to a great extent. These days, machines are taking over those jobs with the help of human intervention.<\/p>\n

2.6- Social networking<\/em><\/h4>\n

<\/p>\n

Almost<\/em> everyone has experienced it several times. When a user uploads pictures to Facebook, the faces get highlighted automatically and the service suggests friends to tag. If you wonder how it can find out which of your friends are in the picture, Facebook uses AI and machine learning<\/strong> techniques to recognize faces. It also uses these technologies to personalize their users\u2019 newsfeed and ensure that they are viewing posts that interest them. Apart from Facebook, almost all other social networking platforms including Pinterest, Instagram, Snapchat etc leverage AI and machine learning<\/strong> to maximize user experience.<\/p>\n

2.7- Online shopping<\/em><\/h4>\n

<\/p>\n

Online shopping<\/em> has become almost an inevitable part of life for today\u2019s tech-savvy customers. Have you ever wondered how e-commerce websites quickly return with a collection of the most relevant items related to your search? AI and machine learning<\/strong> are technologies that make it possible. Personalized recommendations on their home page, product pages etc are also examples of their deployment. Fraud protection is another aspect where these technologies perform a great job. Here, AI and machine learning<\/strong> 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.<\/p>\n

2.8- Home security and home automation<\/em><\/h4>\n

<\/p>\n

When<\/em> it comes to home security, these days, a significant number of homeowners are deploying cutting-edge systems are deploying high-end cameras and security systems powered by AI and machine learning<\/strong>. These systems are capable of building a catalog of the frequent visitors of a home and thus, can detect uninvited guests instantly. Smart homes also offer a multitude of different types of useful features such as providing notification when the kids come back from school etc. When combined with appliances, AI and machine learning<\/strong> can make household management and housework seamless. From allowing the refrigerator to communicate with the oven to replenishment of food and supplies \u2013 all have become possible.<\/p>\n

Final Thoughts<\/em><\/strong><\/h3>\n

<\/p>\n

From<\/em> the above examples, it can be concluded that a significant number of things, which were simply unimaginable before the emergence of AI and machine learning<\/strong>, have become possible these days. However, similar to other technologies, AI and machine learning<\/strong> also come with a significant number of negative concerns. The biggest one of them is that these technologies will replace humans in performing several tasks, making people jobless eventually. However, if these technologies are looked upon as tools rather than replacements, businesses should be able to attain a huge industrial growth. According to many experts, AI and machine learning<\/strong> have an opportunity to work together with humans. By nature, humans are good at raising the right questions while AI and machine learning<\/strong> are good at dealing with huge amounts of information. By working together they can leave a huge business impact. The future of these technologies isn\u2019t exactly clear today, but they\u2019ll surely have an impact on society as they are doing right now. We\u2019ll have to wait to see whether that impact turns out to be positive or negative but it can be said that these technologies have a huge potential to make the lives of the people easier to a great extent.<\/p>\n