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Is it even more challenging
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presentation a of so what number one
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minus Andreas and we're about to work
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very hard to make or what's more many
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the way. And all this is like you see
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some of the application areas in
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ministries were currently working with
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customers and partners make our vision
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of more intelligent devices reality.
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And the technology we use for that
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there we just pointed out this
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mathematical optimisation. Let me tell
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you highlight a little bit how we do
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this very soon will have upon the
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scores on our streets they have to find
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a way around obstacles independently no
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software enables car manufacturers to
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make sure the passengers they say
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actual consensus minimise that you all
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have a smooth ride on the street well
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also mutually smart rates that are able
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to incorporates varying amounts of
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renewable energy efficiently into a
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like two secret. And or software can
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help make when modes more efficient to
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have better planning algorithms for I'm
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certain demand and supply of
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electricity. And it's incorporate all
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of these new features into our existing
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transmission in manufacturing robotics
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we can use our software to decrease
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cycle times increase productivity and
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efficiency and make sure production
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process they say all of this we do by
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generating decision algorithms that and
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people devices to take optimal
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decisions when faced with uncertain
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data. And the nice thing about
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technology solutions to the problem is
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that much less engineering time has to
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go into developing these products from
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scratch you just describe the decision
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problem that you want a device to Saul
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and hours of that generates the
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algorithm that takes the optimal
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decision and if you wanna learn more
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about this I love to talk you and work