Enterprises are highly ambitious about AI, but many face a mismatch between expectations and infrastructure capabilities. Common issues include high implementation costs, difficulty scaling, and bandwidth shortages. So how can enterprises close the AI gap between ambition and reality? In this podcast series, brought to you by CIO and Colt, our guests will provide practical advice on how enterprises can future-proof infrastructure, including how edge and hybrid models can help ensure a secure and scalable transition to AI.
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Enterprises are highly ambitious about AI, but many face a mismatch between expectations and infrastructure capabilities. Common issues include high implementation costs, difficulty scaling, and bandwidth shortages. So how can enterprises close the AI gap between ambition and reality? In this podcast series, brought to you by CIO and Colt, our guests will provide practical advice on how enterprises can future-proof infrastructure, including how edge and hybrid models can help ensure a secure and scalable transition to AI.
In this episode, our expert guests will discuss the current state of enterprise AI adoption, some of the common infrastructure challenges businsses are facing, and the key things you need to know to overcome these obstacles.
Enterprises are highly ambitious about AI, but many face a mismatch between expectations and infrastructure capabilities. Common issues include high implementation costs, difficulty scaling, and bandwidth shortages. So how can enterprises close the AI gap between ambition and reality? In this podcast series, brought to you by CIO and Colt, our guests will provide practical advice on how enterprises can future-proof infrastructure, including how edge and hybrid models can help ensure a secure and scalable transition to AI.
