machine learning and cloud computing

Impact of Machine Learning on Cloud Computing

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In the technology-driven times, some of the most powerful technologies are machine learning and cloud computing. Cloud computing technology has existed for quite some time. Even though machine learning technology is comparatively new, it has been able to capture the attention of the global audience. In case you are unaware of machine learning tools, you must expand your knowledge of this technology-based concept. This promising technology has the potential to transform human life and existing technological infrastructure to a substantial degree. 

Machine learning is the application of AI technology that enables systems to improve and learn from experience automatically. Thus, there is no need to program this technology explicitly. The machine learning process starts with observations. After the capturing of a pattern in the data, it is possible to make suitable decisions. The impact of machine learning on cloud computing could be significant. In fact, this innovative technological concept could revolutionize the existing cloud computing technology. 

Try Now: AWS Machine Learning Specialty Free Test

Machine Learning and Cloud Computing Together Can Transform the World

The machine learning concept has the ability to learn from data. By integrating this technology-based concept with the cloud computing approach, revolutionary changes can take place in the technological infrastructure. The amalgamation of machine learning with cloud computing can give rise to an “intelligent cloud.”

In the prevailing times, cloud basically involves networking, storage, and computing. By infusing machine learning technology with the cloud, the capabilities cloud could become stronger. For instance, the intelligent cloud could learn from the humongous volume of data that is available on the cloud. Thus, it could help to make accurate predictions.

In addition to this, it would also be able to carry out the proper analysis of various kinds of situations. The machine learning application in cloud computing has the potential to bring about revolutionary changes in the cloud landscape. Some of the major implications have been highlighted below.

  • Smarter Business Intelligence

Once machine learning joins hands with the cloud, business intelligence could become smarter. Since the AI element could use cloud data, it could help businesses to get an insight into real-time situations. Thus, the integration of machine learning in the cloud infrastructure of businesses would allow them to forecast future outcomes.

In the current times, businesses operate in a highly dynamic and competitive environment. When machine learning and cloud computing would come together, business intelligence systems could move towards perfection. One the integration of machine learning with cloud technology is a reality; business intelligence could proactively function. Thus it could help businesses to have a competitive edge in the market setting. 

  • Cognitive Computing 

The major impact of machine learning on cloud computing would be nothing but cognitive computing. A large amount of data that is present in the cloud environment could enhance the process of machine learning.

Currently, millions of people use cloud infrastructure for various purposes like storage and networking. Thus, the database on the cloud platform is huge. The millions of processes that take place on the cloud platform on a day-to-day basis further increase the data volume. The data enhances the ability of the machine to learn. Thus, machine learning can improve the overall efficiency and effectiveness of the cloud technology. Thanks to machine learning, the performance of the cloud application gets better. It will be able to carry out cognitive functions and make proper decisions. 

Amazon Machine learning is one of the leading topics in today’s technological landscape. Let’s have an introduction to Amazon Machine Learning!

  • The better capability of personal assistants

In the technology-driven times of the 21st century, the use of personal assistants has become extremely common. With the huge volume of data on the cloud, machine learning can strengthen the quality of personal assistance. In other words, the combination of the two promising technologies could eliminate the requirement of human interaction. 

The new capability that would be the product of cloud computing and machine learning would be of great assistance. For instance, in the dynamic business setting, the innovative capability can help businesses to enhance the quality of customer service. The icing on the cake is that humans would have proper control over how the technology is put to use. The computer systems would be primarily responsible for processing the available data and information and generating possible solutions. Thus, now owning fancy computer systems can become a reality for you.  

  • Better functionality of chatbots 

Many business undertakings have their own chatbots that they use to interact with the existing customers and potential customers. The implementation of intelligent cloud, which is the result of machine learning and cloud computing combination, could strengthen chatbot performance. Thus, the cognitive capabilities of the chatbots could improve to a substantial degree due to the integration of machine learning and cloud computing.

The capability of chatbots could improve as they could learn from historic conversations. Thus, they would be able to provide high-quality assistance to the users or customers. The implication of the integration of machine learning with cloud computing would ensure that chatbots can perform competently. So, customers would feel special while interacting with chatbots due to the improved efficiency of these technology-driven systems. 

  • The rise in demand for Cloud

There is a rise in the overall demand for cloud services. The machine learning application in cloud computing could further increase the demand for cloud services. After the unification of machine intelligence with cloud, the capabilities of intelligent cloud substantially increase. Due to the availability of robust capabilities and functionalities, it could act as a disruptive technological concept of the future.

In a highly competitive environment, the use of both machine learning and cloud computing would be vital. Such an approach could basically give an edge to businesses in the near future. Intelligent cloud could be put to use in various fields like healthcare, education, banking, and investment. 

  • Stronger Internet of Things (IoT)

In present times, the opportunities relating to IoT are endless. But the machine learning cloud computing combo has the potential to strengthen the level of interconnectivity further. The combination of these technologies would generate huge volumes of data. The cloud technology would come into play as the massive volume of data would be stored in this environment. 

The combination of cloud computing and machine learning would ensure that the level of efficiency of IoT can get better. Application of machine learning with cloud and IoT would ensure that identification and rectification of problems can get simpler. For example, a self-driving car’s internet could use an intelligent cloud to know the exact location of other cars.

  • Introduce transformational changes in the technological area

The technological area would substantially change after the combination of machine learning and cloud computing. Both of the technologies are known to create value for mankind. The product of these technological concepts is an intelligent cloud that could enhance the value further. 

The application of intelligent cloud could be seen in a diverse range of areas. The key impact of machine learning on cloud technology would be the improvement in technological capability. The rapid development of machine learning and cloud computing would simplify the application of these technologies. For instance, it would be simpler to use cloud technology and the data that is available on the platform. Similarly, the scalability of modern technology could also become better and stronger in the near future. 

  • Symbiotic association between the technologies

The integration of machine learning and cloud computing would have a major implication on both technologies. In other words, both technologies could become more dependent on one another in the near future. The combination of these technologies could improve the ultimate effectiveness and efficiency of the result. The smarter and intelligent cloud could be used in various scenarios so that the clod data would make more sense.

The connectivity between machine learning and cloud could give rise to better technologies that are not present today. Both technologies would complement each other so that the value for the users can get better as a result. The cloud technology can improve machine learning. The machine learning can also play an important role in improving the overall efficiency and functionality of cloud technology. 

Also Read: Introduction to Machine Learning on Google Cloud Platform

So, What’s the Next?

The implication of machine learning cloud computing combo could revolutionize the existing technological infrastructure. The overall efficiency of cloud technology could expand to a substantial extent. The intelligent cloud concept could become the very essence of modern applications of the future. 

The high level of the interdependency of these technologies could make lives simpler for human beings. Both technologies would be able to complement each other. The cloud would basically help machine learning by providing a high volume of data that could strengthen the learning process. Machine learning, on the other hand, would offer more information so that the cloud could become more intelligent. 

In the current times, numerous developments are taking place in the field of machine learning as well as cloud computing. The combination of these two technologies could strengthen their association and improve overall efficiency. Machine learning could soon become an integral part of could environment that could improve its functional aspects.

Thus, the integration of machine learning and cloud computing is something that everyone needs to look out for. The intelligent cloud could bring about transformational change in the existing technological backdrop. It has the potential to change how cloud computing functions in the prevalent times.

So, get started with cloud computing and validate your expertise with a cloud computing certification to give it a blend with machine learning. Check out our cloud certification training courses and choose the one for you to get ahead!

Preparing for AWS certified machine learning speciality certification exam? Try our AWS Machine Learning Specialty practice tests to check your preparation level and get fully ready for the exam!

About Pavan Gumaste

Pavan Rao is a programmer / Developer by Profession and Cloud Computing Professional by choice with in-depth knowledge in AWS, Azure, Google Cloud Platform. He helps the organisation figure out what to build, ensure successful delivery, and incorporate user learning to improve the strategy and product further.

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