{"id":11186,"date":"2025-01-07T15:37:42","date_gmt":"2025-01-07T14:37:42","guid":{"rendered":"https:\/\/blog.der-digitalisierungsberater.de\/ai-worship-at-an-all-time-high\/"},"modified":"2026-05-04T11:35:58","modified_gmt":"2026-05-04T09:35:58","slug":"ai-worship-at-an-all-time-high","status":"publish","type":"post","link":"https:\/\/blog.der-digitalisierungsberater.de\/en\/ai-worship-at-an-all-time-high\/","title":{"rendered":"AI worship at an all-time high"},"content":{"rendered":"

Instead of divine inspiration from the Bavarian Aloisius, AI now has to do the job!<\/strong><\/p>\n

AI is supposed to make everything so easy. You type something in and the solution comes out.
\nBasically like the famous and much-discussed divine inspiration. <\/p>\n

But is it really all that easy? Simply being able to sing “Hosiana”<\/strong> <\/em>is not enough.
\nBesides, the question is whether AI even understands the singing. <\/p>\n

But jokes aside. AI seems to be the solution to all of humanity\u2019s problems. Well, at least for those a software user has.
\nIn any case, that is what the software vendor seems to want you to believe. <\/p>\n

“We use AI in our solution”<\/strong><\/em> is one of the most common statements in software marketing, and many people fall for it.
\nWhether AI is a practical implementation here, whether enough data is available, or whether employees in front of the screen can actually do anything with it is a completely different matter.<\/p>\n

But that does not seem to bother the many AI believers. Because only a vendor that supposedly uses AI is a “modern”<\/strong> <\/em>vendor that also delivers added value. Not a chance. <\/p>\n

The problem is often quite simple. Software users are far too quick to be dazzled by the claim “AI included”<\/strong><\/em> without even knowing what AI really is and how its use in their own company can deliver added value. <\/p>\n

Simply buying an “AI module”<\/strong> and then thinking the world will become a better place is a widespread misconception.<\/p>\n

With this blog post, I would like to try to shed a bit of “light on the AI fog”<\/strong> <\/em>. If you are looking for even more enlightenment, feel free to get in touch and we will put the much-praised AI functions of software vendors to the test during the purchasing process. <\/p>\n

As always, it will be exciting. Be sure to keep reading! Because waiting for the “divine inspiration”<\/strong> <\/em>like the servant Aloisius from Ludwig Thoma (A Munich Man in Heaven) is not an option! <\/p>\n

By the way<\/strong>: with separate AI projects, the topic can be viewed somewhat differently in parts. Today, I am focusing on “AI included”<\/strong> <\/em>in operationally used solutions. <\/p>\n

Continue in the blog post.<\/p>\n<\/div><\/div>

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Aloisius is still waiting for divine inspiration while others think they have already found it!
\n<\/b>(drawn by ChatGPT)<\/p>\n<\/div><\/div>

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What is the difference between an optimization algorithm and artificial intelligence?<\/strong>
\nOld wine in new bottles?<\/strong><\/p>\n

Many software vendors, especially in logistics, now claim to carry out their optimizations using artificial intelligence. But is that really the case?
\nIn the past, people always talked about an optimization algorithm. Today it is supposedly AI. But what is the difference, actually? <\/div>\n
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What could be more obvious than asking ChatGPT! Here is the answer: <\/strong><\/div>\n
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The difference between an optimization algorithm<\/strong> and artificial intelligence (AI)<\/strong> mainly lies in the application area, the goals, and the complexity of the respective methods:<\/p>\n

Optimization algorithm<\/strong><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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An optimization algorithm is a method for finding the best solution to a given problem.<\/p>\n