The Link Between Cloud Computing and Artificial Intelligence

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Cloud Computing and Artificial Intelligence

Many modern businesses work with a lot of data to perform their operations. As this data grows, local storage servers may become overwhelmed, and data analysis may slow down.

In this situation, businesses may look into cloud computing and artificial intelligence for solutions.

One advantage of cloud services is that they minimize the need to purchase expensive physical infrastructure.

Organizations can access cloud services through the internet. They only need minimal hardware spending, such as security and unified threat management solutions for local networks.

When coupled with AI (artificial intelligence), data analysis can be done faster and with minimal human interaction.

This article discusses the connection between cloud and AI and the benefits of the relationship between these two technologies.

The Relationship Between Cloud Computing and AI

When people hear the term “Course5 Intelligence,” what may come to mind are robots that think and decide autonomously.

In reality, AI can be any computer application that collects data, makes predictions, and provides solutions or solves problems similar to how humans do.

Although the modern concept of AI has been around since the 1950s, many people still think AI is a future technology. This belief is not unfounded since AI is still continuously being developed and improved until now.

In some cloud-based systems, businesses may implement AI for a variety of automated tasks. Some of these tasks include anomaly detection, transaction processing, and predictive solution development.

Because most AI processes in cloud-based systems are automatic, users may not even realize that AI is performing tasks. Some of the convenience users experience when using the cloud are thanks to AI’s automated performance.

With this characteristic alone, there is a strong likelihood that the merging of AI and cloud computing will continue to increase.

Benefits of the Cloud-AI Relationship

A 2018 forecast by Deloitte predicted that by 2020, around 87% of businesses would be using cloud-based services with artificial intelligence.

Looking at this statistic, merging cloud services and AI may become more widespread soon as more businesses increasingly rely on these two technologies.

Some of the ways that the relationship between cloud computing and AI benefit organizations are listed below.

Team Integration

One advantage of cloud services is the ability to collaborate with team members through data sharing.

Team members can access and share files in the cloud to make work efficient and eliminate creating different file versions.

Cloud data sharing also saves time and effort since members can work concurrently on the file. This feature reduces the need to wait for one member to finish before the other starts working on the document.

Coupled with AI, cloud services can perform data-sharing management and information exchange based on the team organization.

Extensive Data Access

The cloud provides extensive data storage without the difficulties associated with on-premise data servers. This feature allows the cloud to store large amounts of data without being limited by the business’ physical environment.

However, having large amounts of data in the cloud may eventually cause the business to encounter data management problems. One solution is to make AI do that work.

AI’s extensive data management capabilities and the cloud’s information security allow businesses to manage large amounts of data more efficiently.

For example, AI can perform automated analysis on big data, allowing businesses to filter through the data faster and more effectively.

Agile Solution Development

Agile development is a software development and project management approach where team members are encouraged to plan, develop, and deliver products and services quickly, flexibly, and adaptively.

A critical consideration of agile development is that the client requirements and other conditions may change over time. Thus, the team’s products and services must be able to adapt to those new conditions.

AI assists in agile development by ensuring that processes are performed efficiently, and error rates are reduced. These factors are critical to providing fast and confident product delivery.

Intelligent Automation

Automation generally involves technologies performing predetermined tasks with minimal to no human intervention. However, those technologies can only function based on the rules initially set up.

In other words, basic automation does not allow technologies to perform tasks outside of the rules programmed into them.

Intelligent automation takes this approach a step further by allowing technologies to perform predictions.

These predictions are based on previous or existing actions and rules. This way, not only do technologies perform rule-based actions, but they can also make their own rules.

When implemented in a cloud environment, intelligent automation allows AI to learn from historical cloud data. This learning, in turn, enables cloud services to identify trends and current standards then make recommendations.

Intelligent automation minimizes human intervention, preventing human error and speeding up data analysis. For businesses, these benefits make decision-making more tailored to the organization’s needs.

Cost Savings

Aside from the increased productivity that cloud services and AI brings, what matters for businesses just as much is cost savings.

At the minimum, companies only need to buy the cloud storage they require. This investment eliminates the need to purchase expensive physical equipment.

In turn, businesses may allocate those savings into the development and further improvement of AI technologies. These technologies can then cater to more specific business needs, further improving productivity and reducing long-term costs.

Conclusion

Cloud services and AI are tools that provide opportunities for modern businesses to improve productivity and increase profits.

However, these technologies must be customized and used following the organization’s goals and objectives.

Businesses must consider seeking the expertise of a cloud service provider or AI specialist for cloud-AI solutions that best fit their needs.

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