Databases

Articles about databases in business. Topics include structure, organization, administration and the use of databases for efficient business processes.

Software Development with Codex, ChatGPT, and AI: A Practical Guide for Developers

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Software Development with AI

If you had asked me a few years ago what software development would look like in ten years, I would probably have talked about new programming languages, better frameworks, or more powerful development environments. Today, my answer would be completely different. The biggest change isn’t happening with the tools, but in the way we as developers think and work.

As I write these lines, I am working on a new software system myself. For the past few weeks, I have been making extensive use of modern AI tools such as Codex and other language models. At first, I was curious; now, I’m mostly impressed. Not because the AI suddenly does everything on its own, but because it handles certain tasks surprisingly well, thereby enabling new ways of working.

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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 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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ChatGPT data export explained: How your AI chats become a personal knowledge system

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ChatGPT data export

If you regularly work with an AI, then you probably know this: one thought leads to the next. You ask a question, get an answer, reformulate, develop an idea further. A short question suddenly turns into a longer dialog. Sometimes it even leads to entire projects.

But most of these conversations disappear again. They lie somewhere in the chat list, slide down and are forgotten over time. This is precisely one of the great features of modern AI systems: While previous conversations with colleagues, friends or advisors only existed in our memories, AI dialogs are completely preserved.

This means something crucial: With every conversation, a digital archive of your thinking is created. This is the first part of a small series of articles that will allow you to export your chat history from ChatGPT and use it effectively as a personal treasure trove of knowledge with your local AI system.

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Digital ownership explained - How sustainable online assets are created

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What is digital property

For centuries, property was something very tangible. You could touch it, walk on it or hold it in your hand. A house, a piece of land, a workshop, books on a shelf or tools in a drawer - these were all things that could be clearly assigned. They belonged to someone, were visibly present and generally remained so even when political, economic or social circumstances changed.

This article explains what digital property is, what forms it takes and how digital property can be created, especially in today's AI age.

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CLOUD Act, data sovereignty and Switzerland: a turning point for European IT strategies?

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What the Swiss cloud resolution means for Europe

Something happened in Switzerland in mid-November that hardly anyone expected in this form: The country's data protection commissioners passed a clear, almost historic resolution. The message behind it is simple - and at the same time highly controversial: public authorities should no longer outsource their most sensitive data to international cloud services such as Microsoft 365 without hesitation. Why is that?

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LoRA training: How FileMaker 2025 simplifies the fine-tuning of large language models

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LoRA Fine tuning - FileMaker 2025

The world of artificial intelligence is on the move. New models, new methods and, above all, new possibilities are emerging on an almost weekly basis - and yet one thing remains constant: not every technical innovation automatically leads to a better everyday life. Many things remain experimental, complex or simply too costly for productive use. This is particularly evident in the so-called fine-tuning of large language models - a method of specializing generative AI to its own content, terms and tonalities.

I have accompanied this process intensively over the last few months - first in the classic form, with Python, terminal, error messages and nerve-wracking setup loops. And then: with FileMaker 2025. A step that surprised me - because it wasn't loud, but clear. And because it showed that there is another way.

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Electronic invoices for SMEs: XRechnung, ZUGFeRD and ERP at a glance

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Overview of the obligation to issue electronic invoices

Germany did not invent the e-invoice overnight - it is the result of years of standardization work (EN 16931), federal and state regulations (B2G) and now, via the Growth Opportunities Act, the gradual expansion into everyday B2B life. Since January 1, 2025, a new legal situation has applied: an „electronic invoice“ is only an e-invoice if it is structured and machine-readable - pure PDF attachments by email are no longer an e-invoice according to the definition. This sounds technical, but has operational consequences from invoice receipt to accounting and archiving.

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