In-house, high-performance AI systems can be set up quickly and cost-effectively. Companies and public authorities can particularly benefit from this. An in-house AI server, whether rented or purchased, can produce millions of new results. Examples are given in the article.
Introduction
In-house AI systems have so many decisive advantages that the reluctance of German companies is somewhat surprising. Now is a better time than ever to get started with AI: more powerful, cheaper and simpler than ever. You just have to have the right advisors who don't advise ChatGPT or similar, because simple is simple, but not exactly intelligent either.
Many only get news about artificial intelligence when it comes from OpenAI, Apple or Google. What sounds charming for private users who don't value data sovereignty is disadvantageous for companies from several reasons. The talk is of dependence on third parties, which are especially American corporations.
AI has never been as easy to implement as it is now. Top quality results at low cost and without ChatGPT or Azure. But with full optimizability and data control.
By the way: Also economical in 24/7 operation and for millions of documents.
Companies and authorities suffer several serious disadvantages if they become dependent on ChatGPT, Gemini, Claude or similar offers.
Advantages of Offline-AI
An Offline-AI is a standalone AI system for your company.
Some of the most important reasons why companies and public authorities should invest in their own AI solution are:
- Independence: With your own AI solution, you are independent from third-party providers and can control your processes and results yourself.
- Cost Efficiency: A proprietary AI solution can be more cost-efficient compared to third-party providers, especially when processing large data sets.
- Data Security: With your own AI solution, you have control over your data and can ensure that it is processed securely and in accordance with applicable data protection regulations.
- Adaptability: A custom AI solution can be tailored to your company's specific needs, whereas third-party providers often offer standardized solutions.
- Scalability: A custom AI solution can be easily scaled to meet the growing demands of your business.
- Innovation: With your own AI solution you can develop new and innovative applications that give your company a competitive advantage.
These advantages also eliminate the following disadvantages that your company or organization suffers when ChatGPT is used.
Disadvantages of using ChatGPT
The disadvantages of using ChatGPT (or similar) in organizations include:
- Functional Dependence: The AI services of providers are often not interchangeable, among other things because they differ or are differently priced. In addition come laborious and error-prone fine-tuning, which is necessary with each provider change.
- Price Dependence: As an example, two concrete cases from current times are mentioned here. Spotify and Netflix have simply raised their prices. If the customer does not accept this, they must endure ads at Spotify and will be cancelled by Netflix. Analogously, it is with ChatGPT and others. The price must be accepted or the provider cancels you.
- Knowledge Drain: All data loaded into Microsoft's (ChatGPT, Bing Bot) systems, Google's (Gemini, Google Bot), or Apple's (analog) are potentially used for training AI. Thankfully, some providers offer an opt-out option. Whether this is respected can be doubted. After all, data is the gold of our time and sucked-in data that lies in a machine learning model or is output by it again are mostly not recognizable from a copyright perspective.
- Lack of knowledge acquisition: Data that flows elsewhere makes the data sender quickly comfortable. He relies on the provider and wants nothing more to do with this "AI-Dings". The main thing is for the electronic brain to deliver good answers.
- Lack of Flexibility: A Black Box is a Black Box. Those who have never developed anything themselves can't or won't do it. The dependency keeps growing, while innovation power drops massively instead.
- Lack of Innovation: Own AI systems that can run permanently offer unprecedented possibilities that third-party systems could never provide. Simply because of the costs of third-party services.
Companies that still use Microsoft Azure seem to have a good sponsor. These often immense costs don't have to be there when it can be much cheaper and often better.
Some examples of the unimagined possibilities offered by in-house AI systems are illustrated below.
Unimagined opportunities for companies
The prerequisites for unimagined possibilities are in particular:
- Low-Cost Flat Rate instead of high costs or unpredictable costs.
- High Flexibility: Thanks to extremely powerful open-source AI frameworks and language models, possible today without significant effort.
- Own AI Server, rented or bought. Results from the previous points.
Opportunities become particularly unimaginable when an AI system is able to improve itself.
The possibility of self-improvement is best achieved when the AI system runs for as long as possible.
What does "the AI system is running" mean? This does not mean that the AI server is switched on. Rather, it means that we (can) keep the AI system constantly busy. A child learns more when it learns for longer. At some point, learning comes to an end. But if you only invest a little time, you will never reach the point where you have finished learning.
Your AI system can improve itself with the help of company data and global knowledge.
Provided your company has an AI system.
An AI system potentially never stops learning. Because it can always improve itself. At any rate, this applies to many use cases.
The following processes, for example, can be continuously improved, almost 100 % automatically:
- Summarize documents and texts.
- Simplify text.
- Search for documents.
- Identifying certain relevant text parts in texts. Examples:
- Keywords,
- positive terms for marketing,
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My name is Klaus Meffert. I have a doctorate in computer science and have been working professionally and practically with information technology for over 30 years. I also work as an expert in IT & data protection. I achieve my results by looking at technology and law. This seems absolutely essential to me when it comes to digital data protection. My company, IT Logic GmbH, also offers consulting and development of optimized and secure AI solutions.
