5 Ways IOT + Machine Learning Can Change Our Everyday Lives

Kevin Gardner

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3 Downloads 14 Views Updated: Thursday, April 18, 2019 - 4:09pm
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Air pollution and IOT

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IOT is a system comprising of a network of computing devices that share information without any human input. The devices rely on unique identifiers (UIDs) to connect to the internet and to transfer communication between them.

 

What you need to know about Machine Learning

Machine learning is a branch of artificial intelligence that involves the creation of methods, algorithms, and frameworks that allow smart devices to utilize available data for natural functioning without the need for explicit instructions. To learn more about machine learning technologies, check out apache spark tutorial.

 

How the IOT and Machine Learning will Influence our Everyday Life

1. Driverless Cars

Automotive producers have been working tirelessly to perfect self-driving cars. Today, you might find smart cars in the market that can recognize speed limits, road signs, and speech recognition. This means that you might be able to buy a completely autonomous car soon. Such a car could go to your kids' school, pick your kids, and drop them home safely.

 

2. Shopping and Errands

Today, online shopping has become part of our daily routine. In fact, some people barely drive to the local store to buy what they need. Instead, such people prefer shopping online and asking the online retailers to deliver the items to them. As a result, big online stores such as Amazon are focusing on IOT and machine learning to improve their customers' shopping experience. IOT and machine learning capabilities have allowed online retailers such as Amazon to track their clients and identify their shopping trends. Online retailers, therefore, can rely on these technologies to send customized advertisements and promotional discounts to their customers to give them the best deals on their favorite goods.

 

3. Smart Health Technologies

Among the sectors that might benefit the most from IOT and machine learning is the health sector. For instance, smart technologies such as smart watches, smart bracelets, and smart toothbrushes could be used to assist people monitor their health. A smart watch, for instance, allows you to monitor your physical activities while the smart toothbrush could help you keep track of your oral hygiene. Users of the smart technologies, therefore, should be able to determine whether they are adhering to healthy living behaviors. Many people, however, are concerned that such smart technologies would help insurance companies to charge higher health insurance premiums to clients who are not sticking to healthy living habits.

 

4. Household Tasks

As more people adopt smart technologies and use devices that have machine learning abilities, how they execute household activities is likely to change. For instance, people might have smart coffee makers that will have the capacity to make coffee at the right time without any manual commands. Your car might also start the engine to allow it to warm up just before you leave for your work. Washing machines might do the washing on a routine basis based on your recent trends without you having to set them. Such trends are likely to improve how we execute household tasks significantly.

 

5. Monitoring Pollution Levels

Many cities are counting on IOT and machine learning to be able to monitor pollution levels and improve public health. According to the WHO, pollution of water and air in cities is responsible for more than 10 million deaths globally. Machine learning technologies might help the stakeholders to distribute sensors to city residents to help them monitor the pollution levels in real-time. As pollution levels in cities continue to rise, such technologies might become essential in assuring that pollution-related deaths are reduced.