Top 5 Biggest Cloud Computing Trends In 2024
As we approach the year 2024, the landscape of cloud computing continues to evolve at a rapid pace. In today’s digital age, organizations are increasingly relying on cloud computing to drive their businesses forward.
Forbes estimates that worldwide businesses are forecasted to spend $1 trillion for the first time in 2024 on cloud computing infrastructure. This will be driven by factors such as a growing need to adopt new platforms, including AI services. These trends will not only shape the technology landscape but also influence the way businesses operate and deliver services. In this article, we’ll explore the top 10 biggest cloud computing trends in 2024:
AI-As-A-Service is expected to continue gaining momentum in 2024, as businesses seek to harness the power of artificial intelligence without the need for extensive in-house expertise. With AI-As-A-Service, organizations can leverage powerful AI tools and technologies through cloud-based platforms, enabling them to streamline processes, gain valuable insights, and enhance decision-making capabilities.
Furthermore, the integration of AI capabilities into cloud services will not only democratize access to AI but also fuel innovation across industries. This trend is expected to have a significant impact on businesses, as it empowers them to unlock the full potential of AI without large upfront investments.
Cloud infrastructure has a big role to play in making AI available to the masses. AI models, such as the large language model (LLM) that powers ChatGPT, are trained on massive amounts of data and computing power. Most businesses don’t have the resources to do this themselves, but by accessing AI-as-a-service through cloud platforms, they can now leverage this powerful technology.
AI-As-A-Service enables organizations to scale their AI initiatives more easily, as cloud providers continue to enhance their AI capabilities and offer more flexible pricing models.
Another example is MonkeyLearn, a company that offers an AIaaS platform with ready-to-use analysis tools. The AI platform makes text analysis simple through intuitive, no-code tools. Users can easily integrate MonkeyLearn’s APIs into their cloud-based applications, allowing them to automate and enhance various processes such as sentiment analysis, topic classification, and entity recognition. Another example, would be Azure AI, Microsoft’s public cloud computing platform. The platform offers a trove of AI and ML solutions for developers.
Access To Real-Time Data
Access to real-time data will be a crucial trend in cloud computing for 2024. With the increasing demand for instant and accurate insights, organizations are turning to cloud-based solutions to access real-time data. This trend is driven by the need to make quick and informed decisions, especially in dynamic and competitive business environments.
Cloud platforms offer the necessary infrastructure and tools to collect, process, and analyze real-time data from various sources, including IoT devices, social media, and business applications. By accessing real-time data through the cloud, organizations can gain valuable insights into customer behavior, market trends, and operational performance.
At the same time, as technology evolves and becomes more sophisticated, an increasing amount of the data that we consume will be delivered in the form of streamed content – including movies and music from platforms like Netflix and Spotify, video data from communication tools such as Zoom or Teams calls, and emerging forms of entertainment like cloud gaming. As a result, there will be growing demand among cloud customers for data storage solutions that offer instant access, leading to an increased need for Flash and solid-state storage devices.
The Surge of Cloud Security Measures
In 2024, the demand for encryption, authentication, and disaster recovery in cloud computing services is on the rise due to the growing threat landscape. With the increasing frequency and severity of data thefts and breaches powered by new AI-driven attacks, security and resilience are becoming top priorities for both cloud providers and customers.
Beyond security, Cloud privacy around technological, regulatory, and legislative policies that aid businesses in harnessing cloud services must continue to safeguard customers’ data. When a business utilizes a cloud service, it typically entails transferring data to a third party, often the cloud service provider. Addressing the privacy ramifications of this process will remain a significant focal point in cloud computing throughout 2024.
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Serverless Computing: The Future of Cloud
Serverless computing is set to become a major trend in cloud computing in 2024. This approach allows users to build and run applications without the need for managing servers.
Serverless eradicates the neeed for businesses to oversee their server infrastructure. Unlike traditional cloud services that bill based on hosted server quantities, serverless computing charges solely for the utilized resources. This approach enhances efficiency by erasing costs for idle servers, enabling businesses to redirect their time towards core activities.
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In 2024, the pay-as-you-go model will become increasingly prominent in cloud computing. Unlike traditional cloud services that bill businesses based on the quantity of servers needed for hosting their infrastructure, the serverless model only charges for the specific resources utilized. Organizations will have the option to pay for cloud services based on their actual usage, rather than committing to fixed plans or contracts.
This approach enhances efficiency by eliminating costs for idle servers, allowing businesses to allocate more time to their primary activities. This flexibility allows businesses to scale their resources up or down as needed, optimizing costs and reducing wastage.
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The cloud computing industry is set to experience significant trends and advancements in 2024. The introduction of low-code/no-code tools are enabling individuals without technical backgrounds to develop applications that once demanded expertise from trained software engineers. Today, drag-and-drop interfaces are also making it easier for teams without any programming background to use Cloud-based systems. However, security issues are on the rise and building fault-tolerant systems still require high technical skills.
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