{"id":36828,"date":"2022-12-26T17:06:56","date_gmt":"2022-12-26T11:36:56","guid":{"rendered":"http:\/\/ismiletechnologies.com\/?p=36828"},"modified":"2022-12-26T17:06:56","modified_gmt":"2022-12-26T11:36:56","slug":"what-are-the-five-key-trends-of-cloud-computing-in-2023","status":"publish","type":"post","link":"https:\/\/ismiletechnologies.com\/en_us\/cloud\/what-are-the-five-key-trends-of-cloud-computing-in-2023\/","title":{"rendered":"What are the Five Key Trends of Cloud Computing in 2023?"},"content":{"rendered":"\t\t
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Today in the IT industry, Cloud computing<\/a><\/span> is the fastest-emerging technology. Though this technology has existed for around a decade, its usage has increased exponentially in the past few years. Keeping in mind this upward trend, there is no doubt cloud computing is going to be the most talked about technology in 2023. Now look at some interesting stats \u2013 According to Gartner, by 2026, public cloud spending will exceed 45% of all enterprise IT spending, up from less than 17% in 2021. Also, organizations can save up to 40 percent by migrating to the cloud. So what are the trends for 2023? Let\u2019s find out.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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1. The integration of AI and ML into cloud computing will rise\u202f\u00a0<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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There is no doubt that with the rising demand for cloud computing, its integration with AI and ML will rise in 2023. According to a recent survey, the cloud AI market will become $14 billion by 2026, following a CAGR of 20% in 2021-26. This significantly increased from the previous value of $5 billion in 2020. So, where can AI & ML be used with cloud computing? \u2013 Companies can use them for various applications like virtual assistants, digital asset management, cloud-based security for applications, reality-as-a-service, and much more. Experts also believe that AI and ML<\/a><\/span> will enhance automation in cloud computing, boost self-learning capabilities, bring growth to data security and privacy, and lead to more personalized cloud experiences.\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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2. Docker & Kubernetes will manage cloud deployment\u00a0<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Kubernetes & Docker provide a platform to deliver software in packages called containers. Using Docker and Kubernetes for managing cloud deployment will help in large-scale deployments. Both platforms offer advantages such as high scalability, high efficiency, cloud deployment automation, flexible resource sharing, and quick and low-cost deployment. The recent Docker versions have Kubernetes built-in to automate and manage all the containerized applications built using Docker.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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3. Data security and cloud computing\u00a0<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Data security is a significant concern because the adoption of cloud computing needs to be improved on a large scale. Many reasons can lead to a security breach \u2013 software bugs, human errors, etc. Some significant data security challenges in cloud computing are:\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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