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Foresight, Innovation and Transformation Chair
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AI-ENABLED TECH FORESIGHT SUMMIT

The evolution of corporate innovation ecosystem; ethics of AI; the curious case of precision medicine; and the dynamics of corporate-startup collaboration - the AI-Enabled Foresight Summit held in…
LE  20.02.2019
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Online
Lieu :
Berlin
Langue :
Français
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The evolution of corporate innovation ecosystem; ethics of AI; the curious case of precision medicine; and the dynamics of corporate-startup collaboration - the AI-Enabled Foresight Summit held in Berlin on February 20, 2019 had all the ingredients that made us ponder on how AI will enable corporate foresight in companies. What is actually possible with AI-enabled technology foresight? What can be expected and where do we stand today? And finally: what are your experiences from experimenting with software-based solutions so far?

There is a reason why Charles Darwin said “It is not the strongest of the species that survives, nor the most intelligent that survives. It is the one that is the most adaptable to change.” This famous quote by the man who published the theory of evolution in 1859 explains the state of AI in technology foresight at present to a great extent. The ones who use data with “intelligence” and “adapt” to the behaviour of changing algorithms will survive as they innovate.

René Rohrbeck, Director at the Chair for Foresight, Innovation & Transformation puts the present scenario into context to Darwin's theory in a practical world as he explains, “I think we are right now in a very exciting field because almost every week there is a new startup company offering a new algorithm. The big companies are observing a lot but there is not that much implementation. There is still a long gap between full productive use of these capabilities. Many firms have automated a lot of scanning work and monitoring work of competitors looking at their R&D and patent landscape.” More specifically, he mentions that the first step is getting better in managing the interface between operating new capabilities and the human operator. We can now ask smarter questions so we need to rethink our decision making which can move more towards real time. Thirdly and obviously, we have capabilities which allow us to move more into pattern recognition.

Videos of the event here:

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