Tag: artificial intelligence
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Six months ago, you sat in your main conference room watching a flawless vendor demonstration. The AI assistant answered complex queries instantly, organized disorganized data gracefully, and promised to shave twenty percent off our operational overhead. Upstairs, the executives were ecstatic, and by Friday, the mandate landed squarely on your…
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+ AI Integration, artificial intelligence, business, Change Management, chatgpt, Corporate Strategy, Data Governance, Digital Transformation, Enterprise AI, Legacy Infrastructure, Middle Management, Project Failure, Tech Adoption, technology+
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Starfleet s one of the most wasteful organizations in an imaginary world. It’s a total head-scratcher. Standard is three live backup systems for each live system? It’s like, a true engineer starts from a redundancy, LOL. I wonder how much faster their warp engines could be, if they decided to…
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+ AI, artificial intelligence, Complex Systems, Cybersecurity, Decommissioning, IT Systems, IT Waste, Redundancy, science-fiction, Security Benefits, star-trek, Starfleet, Subtractive Engineering, System Efficiency, technology, Warp Engines, Wasteful Organizations+
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Look, I’ve had a truly genius idea for an incident management tool (inspired by a conversation with a fantastic work colleague), and I’m pretty sure it’s the only honest one out there. I call it “Stoopid Uumans“, or “SU” for short. You know, like “super user” in development, but in…
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+ AI, artificial intelligence, Creative Writing, Fantasy, Funny, Humorous, Incident Management, IT, life, Parody, Sarcastic, Satire, Software Development, Story, technology, Vampire the Masquerade, writing+
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DBT, or Data Build Tool, has become a popular choice for data teams, but it’s not the right fit for ?any? situation. While it offers a structured approach to data transformation, organizations will benefit from sticking with a simpler, more direct method: SQL transformations. Hahahahaha. The die is cast –…
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+ AI, artificial intelligence, azure, Data Analytics, Data Engineering, Data Modeling, Data Pipelines, Data Quality, Data Transformation, dbt, ELT, ETL, Jinja, Meme, SQL, Technical Debt, technology, Technology Debate, YAML+
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Deliberations on ownership to understand why it’s hard to own an AI model. Legally, ownership is defined by proprietary rights, patents, and data control, yet philosophically, AI exists in a liminal space between creator and user, between programmed rules and emergent behavior. If an AI model is trained on collective…
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When looking at AI, I try to look for ideas that reset my self-importance. I am not necessarily suggesting, aliens farmed us up until us or them came up with something better. I am just a hater of consensus and human-over-centred sciences. Which usually result in the worship of status-quo,…
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+ AGI, AI, artificial general intelligence, artificial intelligence, general intelligence, openai, technology+
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