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5Best Seller

How To Fail With AI (And How To Succeed)

Workshop
Digital product
Courses
$122

Ratings and feedback

5/5
29 ratings
26
Testimonials
5/5
Ein praxisnaher und klar strukturierter Workshop, der zeigt, wie KI-Projekte erfolgreich geplant und umgesetzt werden können. Besonders hilfreich ist der Plan für eine nachhaltige Integration in Geschäftsprozesse. Sehr empfehlenswert!
5/5
the concise and relevant nature of the content. no fizz, no fuzz - to the point. in nugget size format so you can actually remember.
5/5
Real experience and realistic scenarios. No bullshit Bingo.
5/5
Tobias presents his 6-step approach in a comprehensible and clear way in the context of business value. The approach is scalable. Depending on where you start, you can use it at direct, manage or execute levels. This makes the approach fresh and easy to understand. Complemented by simple but nonetheless effective tools, his approach to AI-adoption becomes absolutely practical. Recommended!

About me

Let's grow YOU and YOUR business with AI. 15+ years experience in the corporate world 8+ years working as a data scientist 4+ years running my own business In my corporate life, I've successfully transitioned my career from a non-technical project management position to a hands-on technical data science role, working for a company with over 1,000 employees. There, I successfully developed new and innovative B2B products from scratch, generated 6-figure revenues in less than 12 months, and led the global data strategy initiative. In my own business, I coach companies on how to adapt AI and ML faster while delivering meaningful business value. Online education is my passion. As a data science mentor at Springboard (Top Mentor Award 2021), I've helped dozens of students transition into data science careers, and I've trained hundreds of professionals in AI and business analytics for companies like O'Reilly, Packt, Knowledgehut, and DataScienceDojo. I'm also the author of AI-Powered Business Intelligence (O'Reilly) and write a weekly newsletter called AI For BI rocks, which is read by over 1,000 data professionals across industries.