AI

A pair of earbuds in a holder

Deep Analysis Podcast: Series 2, Episode 3

The third episode of the second season of the Deep Analysis podcasts went live this week; Data Fabrics, Generative AI being helpful on your desktop and another Alan-based travelogue.

Art materials spread across a cutting board.

The art isn’t falling apart: AI, the mechanical and the compositional

It’s perhaps natural at this phase to be overly concerned with the mechanics of how to engineer generation, rather than question what is being generated. Once that begins to be questioned, then it is naturally the legality and efficacy that follows, the nature of originality and composition fall far further down the list.

A Buff-tailed bee on the flower of the Creeping Thistle

Why we need to automate our automation choices, and why we often don’t.

Those who know me well will know that I’m a massive public transport nerd outside my weekday life. Avoid me at parties, but specifically because I’ll end up talking about this. It’s not the trains. It’s more about networks and their interconnectivity, how these networks have grown over time, often through accident rather than design, and how their development tracks against our collective social history.

The former range markers at RSPB Rainham

Google Cloud Next; from cost management to value creation

Google’s cloud business – encompassing everything from computing power to desktop productivity – has suffered an identity crisis throughout its life. For a company that generates an overwhelming amount of its revenue through services outside the cloud business (92% as of Q4 2021), the cloud side of its business seemed to have little direction other than the promise of cost reduction to prospective customers. With this week’s global “Cloud Next” conferences, Google is signaling that it now sees the creation of value as the way to power its next growth phase.

Transamerica Pyramid, San Francisco CA

Standing up isn’t easy: Industry Verticalization of AI

A significant decision along the path from interesting to useful is where AI technology’s application hits the industry verticalization challenge. Lawyers want AI specific to their legal practice; healthcare insurance providers need AI that understands the complexity and details of healthcare insurance etc. For a technology vendor, the need to meet the requirements of a …

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