Tag: automation

  • Anthropic Economic Index report: Uneven geographic and enterprise AI adoption – 🤖: “Enterprise deployment via Anthropic’s API exposes a different facet: businesses adopt AI programmatically to automate. 77% of API usage is automation-dominant, particularly in coding, debugging, office administration, and recruitment. Surprisingly, firms are not especially price-sensitive; higher-cost tasks see higher adoption if they deliver…

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  • Minimum Viable Humans. – “it’s only possible with algorithmic management taking over functions previously handled by human managers: performance monitoring, task allocation, basic feedback and guidance, coordination and information flow. On the positive side, this should translate into a sunset for the endless run of pointless meetings. Good riddance.”

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  • Ironies of Agentic AI – “[R]ather than removing human dependencies, automation often shifts and amplifies them.”

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  • Developers spend most of their time not coding – Developers spending something like 50% to 60% of their time on stuff that should be automated and built into the process.

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  • ServiceNow’s newest AI agents bring intelligent automation to telecommunications firms – SiliconANGLE – ServiceNow’s AI agents analyze network data to diagnose and resolve issues, predict disruptions, and provide real-time explanations for unusual usage patterns, improving customer service and reducing complaints. // ”For instance, some of the agents are designed to service, test and repair networks…

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  • How to find waste with the robot

    How to find waste with the robot

    My first law of enterprise AI: if you end up having two robots talk with each other to complete a task, that task was bullshit in the first place, and you should probably eliminate it rather than automate it. For example, if AI is used in both sides of B2B procurement (enterprise software sales), then…

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  • Top EDI Processes You Should Automate With API – Tech never dies. Helpful consequence: take care of it before it takes care of you.

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  • Using AI for HR – management and workers

    Using AI for HR – management and workers

    Enterprises pouring money into GenAI and CEOs treating AI agents like cheap labor – yet only 25% see ROI right now. Vibes: “Europe’s long holiday from history is over.” Also: IBM does RTO, predictions about DOGE layoffs, the term “platform” remains a favorite excuse for overcomplicated tech, and “autonomous killer robots.” AI comes for HR…

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  • A head full of bologna

    A head full of bologna

    Lots of links and stuff this episode: AI isn’t a coworker, it’s just automation wrapped in hype. Tech moves fast, but nothing lasts—except bad takes, questionable business models, and the creeping realization that managers just want fewer humans to manage. Meanwhile, we live like kings and don’t even notice. Put it on ice Good episode…

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  • Are executives prepared for employees that 30% more productive?

    Are executives prepared for employees that 30% more productive?

    Now that we’ve replaced all these people with a robot, how can we climb the CAGR? I was a guest on the Cloudcast this week. I go over how I use AI and then Brian and I discuss how companies could get more use out of AI. Most of it, I think, rests on how…

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  • McDonald’s touchscreen kiosks were feared as job killers. Instead, something surprising happened – If you can come up with other ways staff can spend time, automation could be good for workers and customers. For example, come up with more complex products that require more human touch, speeding up delivery, or just busing tables. But, yeah,…

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  • Digital transformation strategies focus on reducing costs, upskilling – Highlights from Macroeconomic Outlook, Business Trends – ”Digital transformation focuses on employee productivity and automation. Nearly 44% of respondents either have a formal digital transformation strategy (32%) or are planning to develop one (11%). The primary drivers for adopting a digital transformation strategy are improving efficiency…

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  • Jevons paradox – When you automate something very valuable (or just “costly”), people demand more, and more complex product. This pulls in more need for labor that can do the more complex work. Hopefully.

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  • Automation and the Jevons paradox – Always good to bring in Jevon’s Paradox.

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  • 60 to 100 days to onboard a developer – Highlights from the Harness State of Developer Experience survey

    60 to 100 days to onboard a developer – Highlights from the Harness State of Developer Experience survey

    Today’s survey: “State of the Developer Experience 2024,” Harness/Wakefield Research. Most enterprises need to automate their build and deployment pipelines. This is more than just building code and automating tests (which 71% of people are not doing), but also automating governance and security checks (which 41% of developers are not doing). In my mind, this…

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  • You should automate your builds and tests – 71% of people do not “use continuous integration to automatically build and test my code changes.”

    You should automate your builds and tests – 71% of people do not “use continuous integration to automatically build and test my code changes.”

    The CD Foundation Survey, 2024 Today’s survey: “State of CI/CD Report 2024: The Evolution of Software Delivery Performance,” CD Foundation and SlashData, April, 2024. Are people getting better at frequently releasing software and fixing problems in production? The most recent CD Foundation survey says…no: On average, 29% of respondents say they release software once a…

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  • The State of Platform Engineering surveys – Perforce/Puppet 2024

    The State of Platform Engineering surveys – Perforce/Puppet 2024

    When I look at recent platform engineering surveys, the results are positive: people see the value in platforms and platform groups. I’d say this is because platforms are helping speed up the app release cycle by automating a lot of the infrastructure work app developers would otherwise need to do, baking in/automating security and compliance,…

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  • Second Wave DevOps – The tools keep changing: “Let’s face facts: our implementation is what’s letting us down. What worked for John and Paul in 2009 is, in broad strokes, exactly what we have been asking every single DevOps practitioner to do since. We’ve replaced all the individual tools in the system multiple times (look…

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  • Taking a careful approach to AI in marketing – There’s a lot of analysis that we should all be doing with marketing, but it’s often hard to get at data and figure out what to do with it. // “Fifteen percent said that more than a quarter of their tasks today are intelligently automated, but…

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  • Deploying the Swift Method to Modernize a Singapore Government Legacy System – Good description of what it feels like to be stuck in the legacy trap: “The [Singapore] government agency in this case study faced a similar issue with a legacy system that supported critical business processes, integrated with other business-critical applications, and was developed…

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