AI is able to optimize innovation processes!

With the help of AI, emerging trends or new technologies can be identified at an early stage. This allows companies to address new developments earlier than usual and invest more time in the change process, thereby developing new growth opportunities.

Especially in turbulent markets, this can lead to a significant competitive advantage. AI acts exclusively fact-based and thus offers valuable added value for companies in various innovation phases.

Since skepticism towards AI is often high at first, it is particularly important in companies to create trust for AI-based applications right from the start.

AI can provide support at various stages of the innovation process and enable innovation leaps:

Mein Fachgebiet.

Harald Schallner Porträt

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Position

Generate new ideas

AI can help generate new ideas by analyzing large amounts of data and identifying trends or patterns. AI can also prioritize and filter ideas based on certain criteria and experience.

Concept development

AI can help with concept development by predicting the feasibility and potential success of ideas. AI can also help tailor ideas to specific audiences or markets by analyzing customer data and market trends.

Prototyping

AI can help with prototype development by creating simulations and models to predict prototype performance and behavior. AI can also help reduce the complexity of prototypes by suggesting alternatives or optimizing the design.

Test and validate

AI can help validate ideas and prototypes by running tests and analyzing results. AI can also help identify and minimize potential risks and sources of error.

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The use of AI can contribute to

  • Accelerate innovation processes.

  • Improve efficiency.

  • Increase predictability and quality of innovations.

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