- 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 AI technologies, we need to really invest in the other stuff too, especially data infrastructure.” And: “What really slows transformation is bureaucracy. It’s getting permission to use a tool like this, and to make improvements to the underlying service."
What Factors Explain the Nature of Software - “The only way to know exactly what software we want to build is to fully specify it: without doing so, there will be gaps between our vague ideas and harsh reality. However, a complete, abstract specification is, in general, at least as much work as creating the software itself – in many cases, it is substantially more work."
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%.'"
The Forgotten War on Beepers - Back when pagers were ruining the youth.
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."
Crocodilia: How Crocs became a clog-selling profit machine - I need a pair!
As clicks dry up for news sites, could Apple News be a lifeline? - Wow! // “the Beast on track to make between $3-4 million in revenue this year from Apple News alone — more than its own standalone subscription program, and without much additional cost."
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.
Everyone hates Workday - “Workday reveals what’s important to the people who run Fortune 500 companies: easily and conveniently distributing busy work across large workforces. This is done with the arbitrary and perfunctory performance of work tasks (like excessive reviews) and with the throttling of momentum by making finance and HR tasks difficult. If your expenses and reimbursements are difficult to file, that’s OK, because the people above you don’t actually care if you get reimbursed. If it takes applicants 128% longer to apply, the people who implemented Workday don’t really care. Throttling applicants is perhaps not intentional, but it’s good for the company.”
This gets close to something, but doesn’t have enough empathy (understanding?) of executive life to sound right. More like: the purpose of a large organization is to perpetuate itself as is. It only changes if there is a crisis or a huge improvement to be had (10x? 20x?). Workday is good enough: all the effort you would put into fixing it would just result in the same general outcomes. You would take on the risk of it failing, and get little improvement of things went well.
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 AI technologies, we need to really invest in the other stuff too, especially data infrastructure.” And: “What really slows transformation is bureaucracy. It’s getting permission to use a tool like this, and to make improvements to the underlying service."