Category: Dedoctive
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Part 5 of 5 in a blog series looking at AI’s journey since the release of ChatGPT in November 2022. In the working world, there’s a secret sauce to sustainability: trust. Without it, every decision has to be verified, safeguarded, and hedged. That takes time, costs money, and burns energy. This matters enormously for AI.…
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Part 4 of 5 in a blog series looking at AI’s journey since the release of ChatGPT in November 2022. In the last instalment of this blog series, we saw how the real framing of the AI sustainability question is this: “Does AI reduce the total energy required to achieve meaningful outcomes?” To answer this…
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Part 3 of 5 in a blog series looking at AI’s journey since the release of ChatGPT in November 2022. In this article, I’ll start looking at another issue with modern AI: the electricity it consumes. The part of the story that’s easy to grasp is huge data centre facilities. You can assess the impact…
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Part 2 of 5 in a blog series looking at AI’s journey since the release of ChatGPT in November 2022. After November 2022, many people who normally acted with care and caution seemed to lose the plot. It was clear that Large Language Models (LLMs) were often misleading or just plain wrong. The ChatGPT user…
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Part 1 of 5 in a blog series looking at AI’s journey since the release of ChatGPT in November 2022. In the noughties, I started blogging about the action research into collaboration I had been conducting for over a decade. Following an approach from a US publisher, my first book, “Human Interactions”, was published in…
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Think of traditional safety analysis like a paper map; it’s static, hard to read, and quickly becomes out of date. Dedoctive is like a live GPS system. It takes all the raw data (the roads), understands the connections (the routes), and updates in real-time as the situation on the ground changes, always showing you exactly…
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Think of traditional safety analysis like a paper map; it’s static, hard to read, and quickly becomes out of date. Dedoctive is like a live GPS system. It takes all the raw data (the roads), understands the connections (the routes), and updates in real-time as the situation on the ground changes, always showing you exactly…
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Think of traditional safety analysis like a paper map; it’s static, hard to read, and quickly becomes out of date. Dedoctive is like a live GPS system. It takes all the raw data (the roads), understands the connections (the routes), and updates in real-time as the situation on the ground changes, always showing you exactly…
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Think of traditional safety analysis like a paper map; it’s static, hard to read, and quickly becomes out of date. Dedoctive is like a live GPS system. It takes all the raw data (the roads), understands the connections (the routes), and updates in real-time as the situation on the ground changes, always showing you exactly…
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Think of traditional safety analysis like a paper map; it’s static, hard to read, and quickly becomes out of date. Dedoctive is like a live GPS system. It takes all the raw data (the roads), understands the connections (the routes), and updates in real-time as the situation on the ground changes, always showing you exactly…