Machine learning is the driving force behind innovative applications in the cloud. The capabilities of machine learning models allow developers to create cutting-edge technologies that enable businesses to make better decisions, improve customer experiences, and automate processes. The scalability of cloud computing makes it an ideal platform for machine learning applications. The combination of machine learning and the cloud is already transforming industries and shows no signs of slowing down anytime soon.

Serverless computing has emerged as one of the hottest tech trends in recent years, offering businesses and developers a new way to build and deploy applications without having to worry about servers or infrastructure. As more companies shift their workloads to the cloud, they are increasingly adopting serverless architectures to achieve greater flexibility, scalability, and cost efficiencies.

The rise of multi-cloud adoption is transforming the way enterprises manage their IT infrastructure. According to recent online data, it has been found that 36% of organizations worldwide are currently using multi-cloud solutions. This number is projected to grow significantly, with adoption expected to reach 64% within the next one to three years. For large enterprises with 5000 or more employees, the adoption rate is even higher, with 57% already leveraging multi-cloud environments.