Tag: AI
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Survey reveals generative AI employee fear – Lots of hopes and dream, not enough projects and experiments: “IBM’s research found that less than half of organisations are focused on GenAI pilots – and another 24% are doing nothing at all. But almost half (49%) of the CEOs polled expect to use GenAI to drive growth…
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Internet use statistically associated with higher wellbeing, finds new global Oxford study – “The study analysed data from two million individuals aged 15 to 99 in 168 countries, including Latin America, Asia, and Africa and found internet access and use was consistently associated with positive wellbeing.” // At this point, who knows? Like everything else…
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– Using AI to generate web forms from PDFs – With Enterprise AI, the app is still the hard part: “What took longer was the other stuff: identifying the problem, designing and building the UI, setting up the templating, routes and data architecture. It reminded me that, in order to capitalise on the potential of…
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BP AI use for developer productivity – “A passing mention in BP’s latest quarter: ‘Due to GenAI and in-house built developer productivity tools, we have increased the output of our software developers by around 70% year-over-year” and cut external developers by 60%.’”
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Enterprises struggle to show the value of AI projects – “’Organizations who are struggling to derive business value from AI can learn from mature AI organizations,’ Leinar Ramos, senior director analyst at Gartner, said in a statement. But it’s a small group: only 9% of respondents in Gartner’s survey are characterized as AI-mature.”
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Why We Hate Working for Big Companies – Capitalism knows the central planning committee is bad, so, logically, Capitalism runs on corporations that are central planning committees.
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ChatGPT in 4o mode is not running the new features yet – “They also made the new 4o model available to paying ChatGPT Plus users, on the web and in their apps. But, crucially, those big new features were not part of that release.” // I guess vendors have always done this – releasing betas…
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With Selipsky Out, What’s Next For AWS? – “AWS’s differentiation historically has been in infrastructure. Rather than compete in areas like enterprise software suites, it can double down on custom silicon GPUs as an NVIDIA alternative. AWS could bring its “go build it” cloud strategy to genAI to help customers home in on use cases…
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AWS CISO: In AI gold rush, folks forget application security – “the places where we’re seeing the security gaps first are actually at the application layer”
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Generated images for non-generated text and video – ‘It’s only a matter of time until “generative art = spammy bullshit” will be the majority position because that’s how the economics of it are playing out. Using extruded synthetic art will not do your writing or video any favours in the long run.’ // I mean,…
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DevOps used to manage 35% of enterprise app portfolios, 60% of testing activities are not automated
Container, DevOps, and Generative AI for Testing Usage My work sponsored an IDC paper going over ways to use generative AI (and ML) at various stages of software development (the “Application Development and Product Life-Cycle Management”). There’s some interesting ideas in there, you should check them out. As always, I like to collect the numbers…
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A Shift in LLM Marketing : The Rise of the B2B Model – Enterprise AI requirements are different than consumer AI requirements: “For a data-focused customer base, SQL generation, code completion for Python, & following instructions matter more than encyclopedic knowledge of Napoleon’s doomed march to Moscow.”
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IBM to acquire Hashi for $6.4 billion, seeks software boost – Enterprise AI businesses case are difficult: “But he also said buyers’ initial enthusiasm for generative AI has eased as they ponder whether it can generate return on investment. Users are finding that applying generative AI to a single business process could cost as much…
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AI isn’t useless. But is it worth it? – “they do a poor job of much of what people try to do with them, they can’t do the things their creators claim they one day might, and many of the things they are well suited to do may not be altogether that beneficial.” // I’ve…
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Lessons after a half-billion GPT tokens – In nerd-space, the deflation of AI expectations has begun, finally, after a year or so of usage. This is good! We can finally just get to realistic work. Let’s get those insights on accounts receivable.
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Solo Roleplaying D&D: Make full character sheets for NPCs
When playing solo D&D, try making full on characters for the major NPCs. This can be more fun because (a) making characters is fun, especially higher level ones, and, (b) you get more faceted NPCs instead of just stock, one-dimensional characters. I’ve been playing through Icewind Dale: Rime of the Frostmaiden and I applied this…
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Enterprise AI, D&D with ChatGPT, & DevBurgerOps
Lots of original content this week, starting with this prediction about “enterprise AI”: I also made these since last episode: Another go-round at figuring out playing D&D with ChatGPT. It went pretty well! Here’s my retro/analysis of it, and here’s the actual play session with inline commentary. I was the guest co-host on this week’s…
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Notes on how to use LLMs in your product. – “Even the most expensive LLMs are not that expensive for B2B usage. Even the cheapest LLM is not that cheap for Consumer usage – because pricing is driven by usage volume, this is a technology that’s very easy to justify for B2B businesses with smaller,…
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