Mismatched AI and analytics can be massively inefficient
If you and your organisation work with any of Artificial Intelligence (AI), Machine Learning (ML) and Advanced/Real Time Analytics, you know two things: first, they are all becoming much more important. And second, such workloads can have very different resource and security requirements at various stages of their life cycles. The question then is, do you need multiple different – and underutilised -systems to run different workloads, or could you depend on a single intelligent, optimised platform?
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Tony is an IT operations guru. As an ex-IT manager with an insatiable thirst for knowledge, his extensive vendor briefing agenda makes him one of the most well informed analysts in the industry, particularly on the diversity of solutions and approaches available to tackle key operational requirements. If you are a vendor talking about a new offering, be very careful about describing it to Tony as ‘unique’, because if it isn’t, he’ll probably know.
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