Artificial Intelligence is changing the way companies work with data and automation, and one of the most effective ways to implement AI projects is through cloud computing. This enables companies to take advantage of AI advancements without the need to heavily invest in their own infrastructure.
According to research by Gartner, global cloud services revenue grew by 30% in 2022. This is driven by the fact that cloud platforms offer scalable and affordable processing capabilities, allowing companies to train and implement AI models effectively.
Furthermore, the use of the cloud democratizes access to cutting-edge technology, as cloud platforms offer a variety of artificial intelligence services, such as computer vision, natural language processing, and predictive analytics, ready for use and in a simpler way.
Another important point is that implementation is significantly faster compared to building internal infrastructure, allowing companies to achieve results more quickly.
The ability to scale resources according to needs is another benefit of using cloud computing in projects, as it allows companies to adjust their AI spending according to demand, making the process more efficient.
In summary, cloud services offer access to powerful processing capabilities, democratize technology, reduce costs and time, and provide flexibility and scalability. With the growing market for AI services in the cloud, this is a smart strategy for companies of all sizes.
