Your Org Chart Has a Cyclomatic Complexity Number. AI Is About to Change It.
A 50-year-old software metric explains why your org chart is slow — and how AI can flatten organizations without the layoffs. Complexity doesn't die; it moves.
Read moreAt All In on Data we spend a lot of time speaking to clients, teaching and working on AI. This is where we try to bring it all together for your benefit.
A 50-year-old software metric explains why your org chart is slow — and how AI can flatten organizations without the layoffs. Complexity doesn't die; it moves.
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A $200 Claude subscription. About $1,000 spent. Over $1M in software built. So why are companies capping their best engineers at $20 a month? A provocation about token budgets — and who they strangle.
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You hear a lot about AI right now, and most of it is noise arguing with other noise. It will take every job; it will take no jobs. It is superintelligence; it is a parlor trick. I have stopped participating in that debate.
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Your team finished the AI training, the dashboard turned green, and everyone agreed the company was now "AI-ready." That's a real first step — but the shift that actually separates the winners from the spectators can't be downloaded, streamed, or checked off a list.
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The Regulation Trap: Why Sweeping AI Rules Will Hurt the People They Claim to Protect. Let's start with something we don't say often enough: the people calling for AI regulation are not crazy. They are looking at a technology that is moving faster than any in our lifetime.
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If Your CIO Is Running Your AI Rollout, You've Already Failed. How would you expect to be running a company in 2026 and not understand how AI works?
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ntegrating advanced analytics and artificial intelligence (AI) demands a paradigm altering shift in perception, sometimes referred to as an "ontological shift."
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“Survival is optional. No one has to change.”The process of creating something original from an invention. The practical implementation of ideas and inventions.
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After all,it is humans that create technology, and it is humans that choose how to adapt to and adopt (or not) new technologies. If you look more closely at any story of technological innovation, you’ll find a parallel narrative about humans and their complex relationship to change.
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What types of people do I need to hire to build AI solutions for our company?
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In today's rapidly evolving technological landscape, the use of LLMs is becoming increasingly prevalent. However, with this increased utilization comes a myriad of risks that must be carefully considered and managed.
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As companies work to figure out how to leverage AI to enhance their business, it's imperative for business leaders and CEOs to be prepared to answer questions about their AI strategy.
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Generative AI (Gen AI), with its ability to create new and realistic content (often indistinguishable from human authored content), holds immense potential across all industries.
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It is not innate in companies, or humans, to try and continually improve and accept the kind of pain which causes growth. Forcing oneself to accept pain as a path to growth is hard.
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Killing Innovation Before it Starts. This technology, which is in its infancy, would be inhibited by poorly defined regulations and regulations about complex technology will always be poorly thought through.
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