As we know we are living in an era of technology that contains massive amount of information.  Humans need a new way to process and utilize this information. With the passage of time, we are adapting new technology using new channels to digest information and use data in a different manner. Therefore, marketers are now faced with more channels, huge data and great selections for customers than ever before. Artificial Intelligence is one of the best solutions of this problem. Gone are the days, when Artificial Intelligence was considered as an elective.  It is precarious for organizations to find out how humans and computers can work together and become each other’s strength to create competitive advantage.

Data is the fuel which is used to feed training machine learning model and can generate powerful network effects. There are few machine learning companies such as Facebook, Google, Amazon, Webtunix AI and Microsoft all are open-sourced components of their internal machine learning technologies to shoot revolution in the space although building their brand as AI/ML leaders.

There are some catchy words such as big data, Artificial Intelligence, machine learning and Internet of Things in the field of agriculture, industrial and education sectors. In fact, AI is a daily routine in numerous industries.  Artificial Intelligence development and machine learning services promote human beings in reflecting, investigating and creating innovative technologies that bring revolution in the industry sector.

Machine learning as a Driver of Change 

The advance version of technologies of Artificial Intelligence such as Machine Learning is used for the development in the robot industry to train other robots. A machine learning algorithm tries to copy the human brain functionality and activities. This functionality helps to gain various abilities such as speech recognition, image processing, high speed data processing etc. Hence, to adopt the machine learning technology is really helpful to enhance the growth of machine learning in the artificial intelligence market.

Mainly companies can save large amount of operating expenses by using robots. Efficiency of machine learning devices is much higher than the humans. Therefore, numerous companies in the field of healthcare, manufacturing, computerization and finance areas are reducing employee’s strength and interchanging them with AI systems.  There is a problem to adding colors to black and white images which is known as Image colorization. In the previous days, it was done with the help of human effort that was very hard concept.  Therefore, to color the image by using the objects and their context within the photograph similar to human being can be done with the help of machine learning.

Similarly various services like Amazon or Netflix are trending companies these days. Intelligent machine learning algorithms examine your action and associate it to the billions of other users to regulate what you like to buy or willing to watch next. Recommendation engine systems examine the previous history of user data, tags and display the related videos and shows accordingly. These references are getting smoother all the time, identifying, for example, that you might buy various things like gifts or that there strength be dissimilar family fellows who have unalike TV favorites. Also, a technology used by the Google to change the rate of error on speech recognition in its latest Android software. There are various machine learning companies which provide software with this latest technology.

Tech-savvy Solutions: A path to victory

According to one survey, it is observed that there are too many practical use of machine learning. By spreading machine learning applications except speech and image recognition will involve further theoretical and software innovations, not to refer more progresses in processing power. Machine learning works on the standard of modeling human perception in relations with ways that the brain processes information. It is also not true that scientist has developed a digital brain because they can’t yet, but will soon. Now they can apply concept of machine learning at any applications to make it more practical and apply it in business sectors also to gain profits.

In the nutshell, we can say that machine learning is a subset of artificial intelligence which provides algorithms to train the model. Machine Learning and Deep Learning will make computer smarter. Google has offered open source TensorFlow framework in November, 2015, which is helpful to develop machine learning applications to get wonderful results. Now we can handle large and complex data computation in a pretty way using machine learning. In this way, machine learning brings great revolution in the industry sector.

Article Partnership with Raman Arora and webtunix.com
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