Judyta Słodowska

The evolution of computing

From local servers to the cloud

Many businesses today operate differently from a few years ago when most organizations used their servers in local data centers. Back then, launching a new application involved the purchase of additional hardware, which was conditional. The purchasing model is significantly needed to improve the scalability and development of such applications. With the popularity of virtualization and then containers, the situation began to change. Over time, the increasing complexity of managing applications that required more and more resources led to an appreciation of the benefits of migrating to the cloud.

Cloud computing: co to jest?

Processing huge amounts of data, developing modern applications, as well as using advanced analytics and artificial intelligence, requires the computing power and bandwidth that cloud computing can provide. Therefore, the topic related to the use of cloud computing services is becoming a topic of discussion in most organizations.

The future in the cloud

The Gartner Research Institute is in no doubt and predicts that up to 75 percent of organizations will be using cloud infrastructure by 2026. One of the reasons for this is expected to be the increasing use of generative chatbots based on artificial intelligence, which will help organizations to better interact with their customers in real-time.

Cloud computing offers unprecedented scalability and flexibility in a model where organizations only pay for the resources used. Enterprises can adapt their computing resources to their current needs without having to invest in additional hardware. This allows them to effectively manage costs and increase productivity. This is why migration to the cloud is being considered by companies of all sizes and industries.

AI development in the cloud model

Companies that store their data in the cloud gain an advantage because artificial intelligence can access information and learn continuously without the need for costly infrastructure investments. As a result, AI can be used to create more sophisticated analytical models and predict trends, helping companies to make better business decisions.

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