Artificial intelligence is a technology with many faces. Set to deliver 15,7 trillion USD in additional value (14% increase on global GDP today!) in 2030, there are few technologies like it. But, when a technology is this comprehensive in its scope, making decisions is not easy.
To properly lead innovations in the field of AI, a good sense of business priorities needs to be combined with an understanding of the (potential) of the field. This is often a pain point; traditional business leaders are not schooled in AI, where developers often fail to understand the business landscape well enough. This is where education comes in. Code-free, highly pragmatic and focused on leading teams of developers.
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