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 as $300 million, a figure Krishna said is unlikely to produce positive ROI."
You should automate your builds and tests - 71% of people do not “use continuous integration to automatically build and test my code changes.”
Finally have access to ChatGPT memory
This feels like an accurate depiction of the halfling druid character I’ve been playing in D&D. Here, probably, enjoying Elevensies (11am), maybe Afternoon Tea (3 pm).
The Port State of Platform Engineering in two surveys
The cloud is benefiting IT, but not business - “The central promise of cloud computing was to usher in a new era of agility, cost savings, and innovation for businesses. However, according to the McKinsey survey, only one-third of European companies actively monitor non-IT outcomes after migrating to the cloud, which suggests a less optimistic picture. Moreover, 71% of companies measured the impact of cloud adoption solely through the prism of IT operational improvements rather than core business benefits.” And: “Only 32% report new revenue generation despite having invested hundreds of millions of dollars in cloud computing.” N=“50 European cloud leaders.” // So, backward-looking FUD, sure
Tech Time Capsule: Early 1990s Clip Art Captured an Era - Good stuff.
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 lost the links to the Tweets-n-shit on this sentiment, but I’m more less like this: most of the time I try house AI to create, it would have just been faster and easier to do it myself. AI is great of search and for learning (I spent an hour figuring out NPV and discount rateing as applied to non-economic thinking everyday life - ChatGPT was great at this!). AI is not good at creating…if you’re already an expert.
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.