Stephen Pritchard

London

Broadcaster, (video) journalist, producer. Contributor at @ComputerWeekly @DailySwig and @threatpost. Editor of @SyInsights podcast and @avpromag

Articles

AI and compliance: What are the risks?

1 week ago | computerweekly.com | Stephen Pritchard

Confidential data AI tools have also leaked confidential data, either directly or because employees have uploaded confidential documents to an AI tool. Then there is bias. The latest AI algorithms, especially in LLMs, are highly complex. This makes it difficult to understand exactly how an AI system has come to its conclusions. For an enterprise, this in turn makes it hard to explain or even justify what an AI tool, such as a chatbot, has done.
Zurich eyes "agentic" hackathon as data boss shares AI wins

1 week ago | thestack.technology | Stephen Pritchard

Get the story, a weekly newsletter (you can turn that off if you want) and support independent journalism. Subscribe today.
AI storage: NAS vs SAN vs object for training and inference | Computer Weekly

2 weeks ago | flipboard.com | Stephen Pritchard

11 hours agoOn April 2, President Donald Trump declared it Liberation Day and revealed a long list of tariffs that would be levied against other countries. Tariffs are charges that a government places on goods or services entering its country, and the day after Trump’s initial tariff announcement, stocks …
AI storage: NAS vs SAN vs object for training and inference

2 weeks ago | computerweekly.com | Stephen Pritchard

NAS and SAN For system architects who support AI projects, this raises the question of where best to store data. The simplest option would be to leave data sources as they are, but this is not always possible. This could be because data needs further processing, the AI application needs to be isolated from production systems, or current storage systems lack the throughput the AI application requires.
Early days for small language models and AI at the edge

1 month ago | computerweekly.com | Stephen Pritchard

SLM advantages A further distinction is that LLMs are trained on publicly available information. SLMs can be trained on private, and often sensitive, data. Even where data is not confidential, using an SLM with a tailored data source avoids some of the errors, or hallucinations, which can affect even the best LLMs. “For a small language model, they have been designed to absorb and learn from a certain area of knowledge,” says Jith M, CTO at technology consulting firm Hexaware.
Why does cybersecurity still struggle with professionalization?

1 month ago | itpro.com | Stephen Pritchard

If you wanted advice from a lawyer or accountant, you would want to check they are registered with their professional body. Likewise if you employ an engineer, or engage an architect for a project, knowing that they have chartered status is reassuring. Since 2000, IT even has its own chartered professional status, CITP, through the British Computer Society. Earning chartered status is not easy.
Cloud storage for AI: Options, pros and cons

1 month ago | computerweekly.com | Stephen Pritchard

Advanced cloud storage for AI The specific demands of AI has prompted storage vendors to design dedicated infrastructure to avoid bottlenecks in AI workflows, some of which are found in on-prem systems but also in the cloud. Key among them are two approaches: parallelism and direct GPU memory access. Parallelism allows storage systems to handle what storage supplier Cloudian describes as “the concurrent data requests characteristic of AI and ML workloads”.
Driven by data: The RAF’s revamped maritime patrol capabilities

1 month ago | computerweekly.com | Stephen Pritchard

Modern data systems a game changer With older surveillance aircraft, such as Nimrod, analysts mostly worked with analogue information sources that used systems designed as far back as the 1970s. According to the RAF, media with collected data was physically moved from aircraft all the way to analysts elsewhere in UK. This took time.
LSEG cites Dora as it flags multi-region AWS failovers

1 month ago | thestack.technology | Stephen Pritchard

Get the story, a weekly newsletter (you can turn that off if you want) and help us fight bots and feral algorithms. Subscribe today.
Joe Depa, Chief Innovation Officer, EY

1 month ago | thestack.technology | Stephen Pritchard

Ask Joe Depa what he does, and his initial reply is standard fare for someone working in a global advisory firm. “My focus is on bridging the gap between emerging technology and business transformation,” says EY’s global chief innovation officer. So far, so text book. But drill down, and a different picture starts to emerge. Depa, who previously worked at Accenture and then, Emory University, has deeper and more personal motivations for putting technology to work.