Month: April 2025

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Upcoming articles: compliance for AI projects

I am writing two features for Computer Weekly looking at AI and compliance.

The first is AI and compliance: What are the risks? (deadline for contributions: 1200hrs, Friday 25th April).

This piece will spotlight some of the most common compliance risks around AI projects in the enterprise and will look at:

  • what are the most common AI deployments in the enterprise right now?
  • what potential problems exist with source data for AI?
  • how important is data quality and data verification?
  • what potential problems exist with outputs from AI?
  • what issues do enterprises face, around the right to move data to where it is being trained, or where it is used?

The second article is AI and compliance: How to stay the right side of laws and regulations? (deadline for contributions: 1200hrs, Thursday 1st May).

The piece will look at:

  • the context of enterprise AI deployments, and the compliance and regulatory framework around this
  • the laws and regulations that govern AI (focused on UK/EU)
  • likely future legislation and regulation
  • the key steps an enterprise can take to ensure AI compliance

To contribute to either piece, please email with details in the first instance noting the deadlines above.

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Computer Weekly features: AI storage options

I am currently researching the following two features for Computer Weekly, and I am keen to receive background information on deployments and use cases as well as vendor-neutral comments:

NAS vs SAN for AI storage   – deadline 11/04/25 12:00 BST         

  • What kind of data – file, block, object – makes up data processed in AI workloads?
  • What implications are there for the storage used?
  • Is AI data mostly stored on NAS or SAN?
  • Why does file storage dominate in AI?
  • Can you store AI data on a SAN, and when is that likely to be better?
  • Is it always better to store file data on a NAS?
  • What other options are there besides NAS and SAN for AI data, such as object storage

Cloud storage for AI – pros, cons, options – deadline 18/04/25 12:00 BST

  • What kinds of storage does AI generally require, in terms of performance, protocol etc?
  • What kinds of storage are available in the main clouds?
  • What kinds of cloud storage are required for AI processing in the cloud?
  • What kinds of cloud storage can be used for AI processing on prem? And in what situations?
  • Looking at the different kinds of cloud storage available, what are the pros and cons of each?

To contribute to either piece, please email with details in the first instance noting the deadlines above.