IoT: A Blend of Machine Learning and Artificial Intelligence


IoT stands for Internet of things. As the name indicates, it implies the application of internet connection to ordinary physical things. This converts these everyday physical things into smart devices. Any physical device that can be switched on and off can be connected to an internet connection and thus can be manipulated and controlled according to human needs. A relationship is formed between things and also between ideas and people.  So basically, IoT is the name of a massive network of connected things. This network is a route for data collection, data sharing, and data analysis to perform a particular task that cannot be otherwise performed with a conventional device.

Applications of IoT

IoT includes things ranging from smaller size and less complex such as street lights, electric bulb, headphones, cell phones, washing machines to large size more complicated things such as the components of big machines. IoT is putting machine learning to reality through artificial conditioning of physical characteristics. For example, cars could automatically access the shorter route for your destination, coffee maker would know the exact time you need your coffee in the morning, office equipment would be alarmed themselves when low on supply, wrist watch could inform you of your particular activity in a specific time and area, and the list goes on. In the long run, IoT could develop smart cities that are capable of monitoring energy use and waste management. IoT Applications will become trends in the industry of software testing.

IoT framework and prospects

The Internet of things is a practical form of artificial intelligence which enables physical things to talk to each other and perform their tasks without a human being involved. However, IoT includes only those things that don’t have an internet connection. Thus, we can consider a smartphone and a computer as an IoT device. IoT might be helpful in the development of distributed applications and complex structures such as distributive computing. Current IoT frameworks focus on data logging solutions in real time for enhancing interactions between IoT devices.  In future, IoT might focus on creating software that is compatible with the hardware of IoT things. Software development environments we must design For this purpose.

The Businesses take advantage of IoT.

It brings more innovation to the business marketplace. The connected devices help to promote your product or services. IoT gives you the benefits to add the sale of your business. Let us know how the internet of things is becoming more beneficial in the marketplace too.

  • This helps to raise the business opportunities
  • Improve the way to make use of assets
  • Effective working process
  • Improved the protection techniques
  • Increase the production and improve the labor efficiency
  • Cost-effective

Internet oF Things has achieved the apex of expanded desires for increasing development. Internet of things offers incredible potential esteem; associations must defeat some significant difficulties like information and data administration issues, the absence of interoperable innovations, security and protection concerns, and the abilities to deal with Internet oF Things’ developing unpredictability.

Challenges to the Internet of Things in the present world

Despite having a wide range of applications and bright future aspects. Internet oF Things is still in its beginning stages. Due to the privacy concerns that we link to Internet oF Things devices and their internet connections.  Where ever there is an internet connection, there is a risk of cyber-attack. Since the Internet oF Things devices is routes of data collection and sharing, they are prone to hacking and malware. This security concern is the major hurdle in the way of Internet oF Things network expansion. There is a possibility that a hacker might hack an electric bulb connected to Internet oF Things and get access to the whole network.  One more crucial factor which is facing internet of things is that there is less practice available for Internet oF Things developers.

Another challenging situation hurdling Internet oF Things network is the generation of large amounts of data. No attention yet on recognizing strategies for accomplishing situational familiarity with the security stance of an association’s Internet oF Things resources. Companies and businesses are still figuring out ways to manage, analyze and coordinate the massive data that we generate from Internet oF Things network. So, for now, the most important thing seems to be is spreading awareness into masses about Internet oF Things, its benefits, its prospects and its future.


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