For Computer Weekly my next feature will look at the specific demands placed on storage architecture by artificial intelligence, machine learning, and analytics.
The piece will ask:
What different approaches to providing storage are there for these technologies?
What limits, performance considerations and bottlenecks exist with the different approaches?
What ways of providing storage for analytics are we likely to see in future?
The article will cover both on-premises and cloud-based storage, where relevant. I’m keen to include some real-world use cases if possible.
I am open to comment from industry professionals, consultants, analysts and CIOs working with AI. ML and analytics.
Deadline for leads: 1700hrs BST, Tuesday 23 June. As ever, please email in the first instance.