Cloud computing has changed the way we store share and gather the information. Cloud computing is the concept of storing, managing and processing the huge amount of data over the internet rather than on a personal computer or local server. This has improved the speed of data exchange as cloud servers are more powerful and faster than the local servers. Artificial intelligence application is making the cloud computing smarter and faster. Machine learning algorithms can collect and analyze the huge amount of data and help in making decisions.
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First, let us throw some light on artificial intelligence and machine learning. Some of you might already know that artificial intelligence is the branch of computer science that gives the power of thinking to the machines. It makes the machines more intelligent. Artificial intelligent machines can perform tasks that would otherwise require human intelligence. On the other hand, machine learning is a sub branch of artificial intelligence that takes a huge amount of datasets as input and gives the desired output. These machines an learn autonomously and requires very less human intervention.
Impact of Artificial Intelligence in Cloud
Artificial intelligence has changed the way how data is stored, collected and analyzed in the cloud. Now, cloud is not just used for storing data but it can store data intelligently and smartly. Machine learning and cloud computing together can save the data, analyze it and make necessary insights from the data. It can connect with other cloud servers and build a network of clouds to share a huge amount of information. Deep learning neural networks can help in predicting the outcomes.
Artificial intelligence and machine learning can together do wonders. They provide the platform for cloud computing to work effectively and efficiently. Cloud computing is now able to crunch huge amount of data. It provides cost-effective solutions to the cloud as well as it makes storing and managing a huge amount of data easier.
Let us now discuss how artificial intelligence can impact the cloud computing
Artificial intelligence services perform the task of cognitive computing. A large amount of data stored on the cloud can act as a data source for the machine learning algorithms. Millions of people are using the cloud for networking and data sharing. These all add up and make the cloud more intelligent as machine learning algorithms can learn from past and get better over the time. Some of the examples of cognitive computing are IBM Watson, Amazon AWS an Microsoft’s cloud API. However, these are in the primary stage and are not implemented in more important sectors like finance and healthcare.
Personal assistants and Chatbots
Personal assistants and chatbots make day to day life easier for the individuals. Virtual assistants like Apple’s Siri, Microsoft Cortana are natural language processing applications to interact with the user. But these assistants have limited capabilities and as these are preprogrammed to perform tasks. The answers of these assistants are more generalized than the personal. If personal assistants are given the access to cloud computing, they can almost replace human interaction.
The increased popularity of Clouds
More and more business intelligence services are making use of cloud computing. Developers are now considering cloud to be an essential part of application development. This will definitely increase the demand of the clouds. Currently, there are not many cloud computing service providers which have integrated cloud with the artificial intelligence service. With more and more improvements in the cloud computing. It will become famous in more crucial sectors like finance, healthcare, the stock market and many more. However, it cannot replace humans in various operation but it can definitely assist them in making better decisions.
Business intelligence services are also becoming intelligent with the use of machine learning in cloud computing. Machine learning and cloud computing are helping the business intelligence companies by handling real-time data, analyzing it and making the future predictions. This also helps in making an interactive dashboard showing data from different dimensions at one place. The collaboration of machine learning algorithms with cloud computing is helping in improving the current situation in business intelligence systems.
Increased applications of intelligent clouds
Cloud computing has backed various sectors of concern. Artificial intelligence can provide useful data analytics as it has an abundance of data stored. Data Science services combine with the artificial intelligence and cloud computing services to enhance the functionality of the business intelligence companies. Every sector comprises the huge amount of data. Deep learning and neural networks help in managing this data over the cloud. Big names in cloud computing like IBM Watson shows that cloud computing will continue to improve and provide exciting results.
Internet of Things
Internet of Things (IoT) is one single platform where various online and offline electronic gadgets and devices meet in an environment to share data among themselves and draw useful insights. The examples of IoT can be seen in self-driven cars, smart homes and many more. The interconnection of various devices will lead to the generation of huge amount of data. Cloud and data science services will help the IoT by storing and managing this huge data.
Intelligent cloud is the future of technology. The collaboration of artificial intelligence service and cloud computing is beneficial for all the future technologies. Almost every sector including banking, healthcare, education, and finance would be using the intelligent cloud to improve the efficiency and accuracy of the services. Various data mining techniques help in securing the data over the cloud by identifying the patterns. This will make cloud computing safer and smarter.