The global artificial intelligence (AI) software market is expected to undergo a major growth in the coming years, with revenues increasing from around ten billion U.S. dollars in 2018 to about 126 billion by 2025. As artificial intelligence continues to power cloud technology, cloud computing is the fuel that has been increasing the scope of and the impact AI can have on the software market.
The increasing adoption of digital assistants like Alexa, Siri, Google Home, and others points towards the ways in which the combination of AI and cloud computing is improving everyone’s daily lives. Whether it is playing a song or making an online purchase, the fusion of these two technologies enables connected and intuitive experiences.
On a macro level, AI capabilities are being merged with enterprise cloud computing infrastructure so organizations can be more strategic, agile, efficient, and insight-driven. Artificial intelligence is also helping companies better manage their data, identify insights in information, spot trends and patterns, engender stellar user and customer experiences, as well as optimize workflows.
Here are a few more benefits of blending AI with cloud computing.
1.Creates More Efficient IT Environments
An undeniable benefit of combining AI and cloud computing is gaining the ability to redesign your entire IT infrastructure. With competition becoming increasingly cut-throat, businesses feel the need to constantly set higher benchmarks, which necessitates innovation for long-term sustainability. Artificial intelligence is a hero here and AI-optimized applications and infrastructure are, therefore, going to continue to be in high demand.
IT service providers have taken note and have started introducing IT platforms equipped with storage and interconnected resources, which help automate and accelerate IT workloads. AI-powered cloud platforms and infrastructure-optimization tools can help in preparing the business IT infrastructure for increased demand.
2 .Enables Unhindered Data Access
AI in cloud computing can provide users with seamless data access. AI uses data to get things done, which makes it well-suited to cloud environments as they can hold large amounts of data. This means AI technology in the cloud prevents issues related to delay in accessibility and poor performance.
The cloud can also harness AI capabilities for better decision-making. It can learn from all the data collected and arrive at more accurate estimates or solve potential issues before they even arise. Further, AI can facilitate unhindered data transfer between on-site and cloud IT environments.
The cloud ecosystem, especially hybrid cloud solutions, need unrestricted data movement, connectivity, and accessibility. AI can help organizations access and manage their data more effectively in such environments. Organizations can scale according to industry standards simply by optimizing their resources.
3 .Improves Data Management
The inclusion of AI in the cloud can lead to a more effective synthesis of data systems for identifying valuable information. This information can then be applied practically in business operations.
With the volume of data only increasing with time, it is becoming clear that organizations need to be equipped with a responsive cloud environment.
AI can enable organizations to control large quantities of data, which can then be evaluated to make sense of it. This way, it improves the responsiveness of the business’s cloud ecosystem, while also developing its own capabilities to further strengthen organizational productivity and performance.
4 .Provides Analytics-Backed Insights
Improved analytics is another outcome of the combination of AI and cloud computing. Organizations stand to get a precise analysis of business-critical data to generate more meaningful and valuable information. This will eliminate the need to hire expert analysts. AI can, in fact, achieve far better outcomes at lowered prices.
Also, making sense of reams of numbers and hypotheses can require businesses to engage multiple teams that produce similar data repeatedly to identify new insights. AI can simplify these types of tasks, while also deriving accurate forecasts from colossal datasets. It can also identify patterns in data efficiently and provide recommendations backed by thorough analysis.
5 .Lowers Costs
The merging of AI and cloud computing also has economic benefits in that it leads to reduced costs that may otherwise have to be incurred by businesses. This is mainly because expenses related to setting up and maintaining on-site data centers are eliminated.
AI can also bring down research and development-related costs. Organizations with access to the cloud can employ AI capabilities and gain meaningful insights without incurring additional outlays.
Since cloud solutions are scalable, they work well with the lowered cost-related concerns of AI-powered growth and development.
6 .Automates Cloud Security
AI has the capability of processing large amounts of information stored in the cloud and detect discrepancies instantaneously. This technology can automatically send out a system alert or respond in other ways in such cases. This, in turn, can instantly help block unauthorized access to and/or activity on cloud platforms.
Moreover, AI can identify atypical happenings across the network and block them right away, thereby thwarting attempts of potentially unsafe codes from entering the system. It can also help in reviewing data across locations, which can enable businesses facilitate a hands-on response towards fortifying the security of business systems.
AI can aid in the automation of cloud security. Contrary to popular notion, this does not necessarily mean the replacement of human workforce. In fact, AI can help human security personnel prioritize their tasks and execute them more effectively.
7 .Enhances Decision-Making
As mentioned, organizations that harness the power of the AI are able to identify patterns and trends in vast datasets. AI does this successfully by referring historical data and comparing it with the current information, thereby equipping you with well-informed, data-backed intelligence.
Output created by AI processes comes with higher accuracy as it does not involve human intervention, thereby removing the scope for man-made errors in data analysis. AI technology enables quicker data analysis, which means businesses can resolve customer queries promptly and most efficiently.
Not only that! The insights and valuable recommendations derived by using AI capabilities can bring about faster and more effective results. At the same time, customer experiences can be improved through quick turnaround times, along with the benefit of having strategies suited to specific needs. It’s a win-win for everyone involved.
Conclusion
As you can see, AI and the cloud make the perfect marriage. They complement each other in many ways. In fact, AI is on its way to completely revolutionizing cloud computing technology. It is becoming increasingly evident that AI augments cloud services and creates new avenues for development. The above pointers will help you understand how AI transforms the cloud, meets unique business needs, and provides them with competitive advantage.
