R. Scott Raynovich is the Founder and Chief Analyst of Futuriom, an independent cloud technology analysis firm. He has been following technology markets as an analyst and writer for 25 years. In the past he was a partner and Editor in Chief of Light Reading (Lightreading.
, infrastructure provider F5 has been taking a more realistic and data-based approach. In fact, recently released survey results show the company is downright circumspect, highlighting the many risks of AI.that enterprises are bedeviled by AI difficulties ranging from GPU procurement to data quality and security. But that doesn’t mean AI isn’t a long-term trend.
“We overestimate what will happen in the next twenty-four months, but we underestimate what will happen in the next ten to twenty years,” F5 CEO François Locoh-Donou told me in an interview with me earlier this year. “There’s a bit of overestimation for the next twelve months. There's a lot of hype. We are a couple of years away from seeing the real deployments and five years from how enterprises build their infrastructure.
“Our report highlights a concerning trend: Many enterprises, in their eagerness to harness AI, overlook the need for a solid foundation,” said Kunal Anand, EVP and CTO at F5, in a press release. “This oversight not only diminishes the effectiveness of their AI solutions but also exposes them to a multitude of security threats.”
The report also notes: “This is why the most popular AI models are often offered by cloudproviders. The providers already deliver a rich set of services that support applications of all kinds to greatly simplify adoption of their models.”While AI models and services are increasingly available from key public cloud providers, there’s evidence in F5’s survey that in the future, customers will continue to deploy a hybrid cloud approach supporting both on-premises and public cloud services.
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