Enterprises Envision Their AI Future with Multi-Cloud

Generative AI is creating waves across nearly every industry thanks to its powerful pattern recognition and data-analysis capabilities. Yet businesses hoping to adopt this technology face significant security, data privacy and infrastructure challenges. Traditional data centers often struggle to handle the demanding requirements of advanced AI workloads, raising concerns about capacity and suitability for the modern digital landscape.

It’s early days for us. We have to make sure that we do this right. We have to solve these fundamental problems first, like security and data privacy, before we can really see what value we can unlock from using generative AI solutions.

Johan Marais, Senior Platform Services Manager, Discovery Holdings

A multi-cloud strategy offers a solution. Using multiple public and private clouds, organizations can improve scalability, enhance security, and boost data-processing capabilities. Instead of moving all data to the cloud, it’s more practical and efficient to bring AI capabilities to where the data resides. This is a multi-cloud challenge that necessitates a multi-cloud solution.