Processes

Article about processes and process optimization. It deals with structures, automation and strategies on how companies can make processes more efficient.

How artificial intelligence is changing software development and FileMaker

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AI evolution in the development of FileMaker databases

Anyone currently scrolling through news portals, social networks or business platforms will quickly get the impression that artificial intelligence is changing the entire working world practically overnight. New tools, new language models and new promises appear almost daily. Texts are written automatically, images are generated, videos are created and software is sometimes prepared by voice input.

For many companies, this creates a strange mixture of curiosity and pressure. Because, of course, nobody wants to miss the boat. At the same time, many entrepreneurs, freelancers and developers do not yet know exactly which of these technologies will really remain relevant in the long term. This is probably the real peculiarity of the current AI phase: almost everyone senses that something is changing - but hardly anyone can really reliably assess at the moment how quickly and in which direction.

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From content to substance: how digital systems are created that cannot be copied

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System instead of individual content

When you move around in the digital space today, you very quickly get a certain impression: if you are visible, you are successful. If you have reach, you have influence. And if you produce a lot of content, you automatically build up something. This equation seems plausible at first glance - but it is deceptive. Because visibility is not ownership. Reach is not ownership. And content is by no means a foundation.

A post can be read thousands of times and yet practically disappear after a few days. A social media post can go viral - and at the same time have no lasting effect. Even well-placed content in search engines is not automatically stable. They depend on algorithms, platform rules and developments that you have no control over.

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Guided in everyday life - How modern sales tricks control our behavior

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Sales tricks in the supermarket and online

It's often the little things that make you wonder. No big events, no loud break - rather a quiet moment when you stop and ask yourself: wasn't it different before? I recently had such a moment in the supermarket. A store I've known for many years. One of those places where you don't have to think. You know where things are. Milk at the back on the right, bread at the front on the left, the usual routes in between. It's a quiet form of reliability that you hardly notice in everyday life - as long as it's there.

But this time something was different. I was looking. Not for long, but longer than usual. The milk was no longer where it always was. A few steps further, then back again. Finally I found it - but the thought remained. Why? At first it seems banal. A shelf is rearranged, a product is moved. That happens. But when such moments accumulate, the whole thing loses its random character. It creates an impression that is difficult to grasp, but is nevertheless tangible: something is being changed here - not for me, but with me.

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From ChatGPT data export to your own knowledge AI: step-by-step with Ollama and Qdrant

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The path to your own AI memory

In the first part of this article series, we saw that the ChatGPT data export is much more than just a technical function. Your exported data contains a collection of thoughts, ideas, analyses and conversations that have accumulated over a long period of time. But as long as this data is only stored as an archive on your hard disk, it remains just that: an archive. The crucial step is to make this information usable again. This is exactly where the development of a personal knowledge AI begins.

The idea is actually surprisingly simple: an AI should not only work with general knowledge, but also be able to access your own data. It should search through previous conversations, find suitable content and incorporate this into new answers. This turns an ordinary AI into a kind of digital memory. This is the second part of the article series, which now looks at the practical aspects.

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Apple in transition: Early devices, personal experiences and an exhibition at the OCM

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Apple Macintosh Classic and Color Classic

If you are interested in computer history, a visit to the Oldenburg Computer Museum is particularly worthwhile. The museum is one of those places that doesn't have to be loud to make an impression and will be hosting a special exhibition from April under the motto „50 years of the Apple computer“. For many years, technology has not only been exhibited there, but kept alive. Devices are not behind glass, but often ready for use on tables - just as they were actually used in the past.

That's what makes the difference. You don't just see old computers, you get a feeling for what it was like to work, play and think with these machines. From early home computers to classic office computers and special one-offs, everything is represented - carefully collected, maintained and, above all, clearly arranged.

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From Commodore C16 to WordPress: A journey through the early years of the internet

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From modem to Internet and magazine

When you pick up a smartphone today, it contains more computing power than entire computer rooms used to. In the 1980s, things were completely different. Computers were rare, expensive and, for many people, a mysterious machine. Back then, if you had your own home computer, you belonged to a small group of tinkerers, inventors and curious people. The exciting thing was that you didn't just consume computers. You had to understand them. Many programs were not available to buy ready-made. Instead, computer magazines contained pages of listings with BASIC code that you had to type out line by line. Only then could you see whether the program worked at all.

That sounds tedious today, but it had one big advantage. You automatically learned how computers work. If you made a mistake, you immediately got an error message - and had to find out for yourself where the error was. In this way, many young computer fans developed a very natural approach to technology and programming.

It was at this time that I began my own journey into the world of computers.

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When I was on the phone with a robot - how AI is conquering the phone and how to recognize it

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Phone call with an AI robot

There are moments in everyday life that seem completely banal at first. You're sitting at your desk, working on an article, thinking about a new topic - and suddenly the phone rings. A number you don't recognize. In my case, it was an area code from the Ruhr region: 0233 something. As a self-employed person, you occasionally get calls like that. It's usually about advertising, services or advice that you don't actually need.

So I initially answered the call as normal. A friendly female voice answered on the other end. She introduced herself as an employee who works with Facebook and Instagram. It was - unsurprisingly - about advertising. About ads. About reach. Visibility for companies.

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Learning to think dialogically with AI: Why good questions are more important than good models

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Learning to think dialogically with AI

The term „AI as a sparring partner“ now appears frequently. It usually means that an AI helps with writing, generates ideas or completes tasks faster. A first basic article on this has already been published in the magazine. This article now aims to show in reality how AI can be used as an effective thinking partner. In practice, it is clear that AI only becomes really interesting when it is not treated as a tool, but as a counterpart. Not in the human sense, but as something that answers, contradicts, leads on - or even mercilessly reveals where your own thinking is flawed.

This is exactly where the real benefit begins. Not where the AI „delivers“, but where it reacts. Where it does not simply process, but makes thought processes visible. This is more inconvenient than a classic tool - but also more sustainable.

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