Dr. Jan Koutnik is one of the most important personalities in the field of industrial AI in Europe. He studied in Prague and then joined Prof. Dr. Jürgen Schmidhuber in Switzerland to found NNAISENSE with his team. Koutnik and his team have worked for companies such as Audi, Festo and Trumpf.
Koutnik's NNAISENSE days are now behind him and he is concentrating on Blue Collar AI with a new team at his new company, EVOPTIMA. After more than ten years of industry experience, he has summarized the industry's five biggest misconceptions about AI for HANNOVER MESSE.
5. Many companies misunderstand the latest AI developments and assume that artificial intelligence will solve all the problems they have with their products and processes. There is a lack of understanding of what AI is or can mean for them.
4. Many companies find it difficult to distinguish between reinforcement learning approaches and optimization problems. They try to solve an optimization problem with reinforcement learning. They turn a simple problem into a big problem, often because there are tools for complex problems. They throw a wrench in the works.
3. If companies want to start with "AI-based solutions" for their products, they first hire three PhD candidates. However, the PhDs want to do research and not necessarily develop a market-ready product.
2. Organizations often underestimate how big the problem of integrating the solutions is in the end. AI may be a small part, but when the security manager says stop, the project stops.
1. Many managers today think that generative AI is THE AI. But generative AI will not solve all the problems of industry. You could say that generative AI doesn't get its hands dirty. We want to do blue-collar AI. I'm worried because management could quickly lose its appetite for AI and wake up with an AI hangover.
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