What the Integration of Artificial Intelligence Can Do for Cloud Computing | Jack Fitzpatrick

Both artificial intelligence and the cloud have entered the common sphere of discussion, but what the future holds for the combination of these technologies remains to be fully realized. Each independent technology, if utilized properly, presents a number of benefits that could help enhance cybersecurity measures and optimize the transfer, analysis, and storage of data. Naturally, there are some downsides to each example of technology, as well, especially when they have not been mastered in all applications. However, the combination of artificial intelligence and cloud computing could provide better security, faster computations, and ease of communication for businesses and individual users alike.

Cognitive Computing

One of the most prevalent applications of artificial intelligence and machine learning is the ability of an AI program to comb through data, recognize patterns, and draw conclusions. When applied to cloud technology, AI can help analyze and even alter data in an appropriate fashion. IBM Watson is one example that demonstrates the capabilities of AI in cloud computing; Watson is able to process and assess massive amounts of data at a fraction of the time it would take a human to complete the same task. Implementing AI like Watson into cloud computing software can provide amplified flexibility and insights into data that is continually collected and stored in the cloud.

Self-Managing Cloud

In its current stages, AI is somewhat self-sufficient, but it still requires frequent updates and human monitors. As it continues to develop, AI will become more sophisticated. Without the need for regulatory measures, AI can alleviate the stress of human monitors and automate core processes. This increased efficiency will increase the functions of cloud computing, redirect the attention of IT professionals to more demanding issues, and optimize the intuition orchestrated by AI. 

Data & Operation Management

Though the future of AI seems to be self-managing, that does not mean it will operate independently. Within the cloud, AI programs will still need human influence to ensure operations run smoothly and avoid unnecessary errors. As AI continues to develop and its functions improve, the tools and methods used to assess its performance will also develop, making operational management far simpler and more accurate.

Additionally, within AI programs that are connected to the cloud, data management is also slated to improve. The cloud collects and stores an immense amount of data; the high quantity of information that is regularly collected, stored, and analyzed within the cloud can slow down processes and limit the effectiveness of other applications. With the integration of AI for the purpose of managing, assessing, and adapting data, data management becomes more secure, accurate, and accessible, especially for businesses looking to offer real-time information to customers or clients.

From neural networks to deep learning, artificial intelligence could present opportunities for advancements in data management, information analysis, and operation optimization. If properly executed, integrating AI into cloud computing can help organizations better manage consumer data and enact a more efficient method of assessing and altering essential data. Cloud computing is already a promising technology; the incorporation of AI will likely make it even more effective.

This article was originally published on JackFitzpatrick.io