AI-As-A-Service

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.