Category: Dedoctive
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We need the trades back, front and foremost in our national consciousness, and with a fresh new look. AI can’t fix your roof yet, and it may never make sense to ask it to. But AI can make sure that someone is available to go up on a roof, they bring the right tools and materials, they…
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In my home town, a large riverside area of disused factories in wasteland has the potential for equitable housing and economic regeneration in the midst of natural beauty. How exactly to achieve this goal has been the subject of debate for many years. Recently, to much local rejoicing, the debate was finally resolved in favour…
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We’ve all been there—drowning in our own data, unsure how to even begin asking the right question. Until now, doing anything meaningful with that data usually meant brushing up on query languages, search syntax, or relying on dashboards someone else built. But it doesn’t have to be that way.
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There is a Danish saying, made famous by Niels Bohr: “Never try to predict anything, especially the future”. Then there is the Prussian military adage: “No plan survives first contact with the enemy”. Planning is tough. Especially in the UK, where every council prides itself on having created its own set of planning regulations (“design…
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Dedoctive has two origin stories. One is my co-founder Peter Lawrence’s lifelong interest in unstructured vs structured data, and how to release the potential of the former by leveraging techniques for the latter. To learn how Peter’s voyage of technical discovery is culminating in Dedoctive, visit his blog about Knowledge Model-Driven Q&A. The other origin…