How Machine Learning Services Make AI Accessible To All

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Artificial intelligence (AI) is not always a prerogative of fancy IT companies and tech giants. Anyone can take advantage of the benefits AI has to offer, and you might have already used it in your daily life without even noticing. Machine learning is one of the branches of artificial intelligence that is omnipresent in your routine.

This subset of AI is responsible for creating algorithms that identify patterns in large datasets and use those patterns to make predictions or decisions on new, unseen data. Here is ML in action — Netflix analyses your previous behavior on the website and crafts relevant movie and TV series recommendations. 

And there are even more instances where you can stumble across machine learning. Do you wish to know more about machine learning services, or in which spheres of life can you implement ML? Then this article will be helpful to you. 

How can machine learning facilitate daily life?

1. Recommendation systems

Recommendation algorithms do not boil down to Netflix alone. Other popular websites, including Pinterest,  Amazon, LinkedIn, Facebook, and Spotify, use this technology.

1. Recommendation systems

Machine learning algorithms study user behavior, divide customers into groups of the same preferences and demographics, and then send out targeted advertisements or recommendations. As AI and ML evolve, so do the accuracy and relevance of those suggestions. 

2. Facial recognition

Advanced facial recognition that comes with implementing machine learning might seem controversial and scary, but it has proven to bring more good than harm. On a smaller scale, facial recognition might provide new, ground-breaking features to social media platforms; ML can automatically tag people in the photo by analyzing similar pictures in the database and finding the matches. 

On a more serious level, face recognition can contribute to a safer and crime-free society — facial recognition models can be used by law enforcement when looking for people involved in human trafficking, sexual exploitation of children, or other crime suspects. 

3. Virtual assistants

A virtual assistant is not a novelty. Amazon Alexa and iPhone’s Siri have been out for a while, and they are gaining more and more popularity. According to estimates, the virtual assistant industry is expected to grow at a CAGR of 22.3% and reach a market size of USD 8613.5 by 2028.

3. Virtual assistants

With machine learning, virtual assistants will become more accurate in their work and capable of learning from interaction with humans. AI-powered virtual assistants employ Natural Language Processing (NLP), which, as the name suggests, makes understanding human languages, with all their subtleties and contextual cues, much more accessible for AI tools.

While processing a vast amount of information about the user, virtual assistants can provide much more personalized service and perform all their tasks efficiently. 

4. Predictive analysis 

Machine learning learns from the data the most common tendencies and, therefore, can predict the possible outcomes of different situations. This ability of ML can be applied basically in every sphere of life — from banking, tech industries, and manufacturing. 

One striking example of machine learning being useful is stock market predictions. If you are interested in stock prices in the near future, then machine learning models will be a valuable addition to you. 

5. Smart homes

Everything in your home —  a TV, a light bulb, or a thermostat — can become much smarter with embedded machine-learning models. All these items will be able to remember your common behavioral patterns, from the temperature you prefer when you come home from work to the amount of electricity you consume, and automatically adjust these indicators.

5. Smart homes

Smart security cameras installed in your house can spot suspicious activity inside and outside and send out emergency signals to you.

6. Prevention of fraud

E-commerce is booming, and so are online transitions. As their number increases, they become easy targets for credit card fraudsters. Machine learning comes to the rescue — ML models can analyze the patterns of the previous transactions and, based on this knowledge, determine which are authentic and which are suspicious. Additionally, verification processes will take much less time than manual work. 

7. Healthcare innovation

One of the most exciting applications of machine learning is undoubtedly the healthcare industry, as ML algorithms can quickly identify high-risk patients and spot anomalies.

Additionally, unique wearables can keep track of the human body’s metrics, like temperature and heartbeat, suggest the time of rest, monitor sleep patterns, and predict possible critical situations, like heart attacks or strokes.

By analyzing the data generated by these wearables, healthcare providers can offer personalized care to patients.

8. Self-driving cars

Self-driving cars are an excellent innovation in the transportation field, and they rely heavily on machine-learning algorithms to operate safely and efficiently. There are two ways in which ML learns new information — unsupervised and supervised learning.

The former means that machine learning models do not receive instructions on dealing with data and making decisions; hence, they try to do that on their own. The latter is when people help ML with the information processing guidelines. Technologies in self-driving cars use the second approach.

8. Self-driving cars

Machine learning takes advantage of the information gathered by cameras, sensors, and radars to make sense of the objects on the road, like traffic, pedestrians, road signs, and lights, and guarantee a smooth ride to the destination. 

Wrapping up

AI, along with machine learning, opens doors to the version of a world we could have imagined only in sci-fi movies. But here it is, our reality. Of course, such rapid changes and dramatic transformation of our routine might fuel some fear — after all, we have to trust technologies with our personal information and data.

To some people, it might seem like an inevitable turn to a grim future where machines rule over humankind. Fear not; artificial intelligence has a long way to go before being as independent in their thinking as humans are, and there is no guarantee it will reach that level. 

For now, all we can do is take advantage of what technologies bring us to the fullest — make your life and daily routine as comfortable and efficient as possible.

About the author 

Peter Keszegh

Most people write this part in the third person but I won't. You're at the right place if you want to start or grow your online business. When I'm not busy scaling up my own or other people' businesses, you'll find me trying out new things and discovering new places. Connect with me on Facebook, just let me know how I can help.

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