🎙️ Who is Tobias Zwingmann?
Tobias Zwingmann is an AI advisor, author, and online teacher who focuses on helping non-technical small or mid-sized B2B companies adopt AI and machine learning faster and deliver relevant business value. With over 15 years of professional experience in the corporate world, Tobias has developed an enterprise-wide data strategy, built data science use cases, and developed B2B digital products. He is the author of the O'Reilly book AI-Powered Business Intelligence (2022) and the weekly newsletter AI4BI.Rocks that reaches over 2,000 data professionals every week. Additionally, Tobias has helped over 1,000 students learn data science and analytics through online training, webinars, and mentoring for brands like O'Reilly Media, Data Science Dojo, Knowledgehut, and Springboard. Tobias believes in balancing innovation and efficiency in product development and believes in empowering business intelligence teams with AI skills to succeed in a rapidly-evolving industry.

💡 In this episode...
... we discus Tobias's vision for AI and the importance of recognizing the human element in data science. Tobias shares his transition into AI and approaches to AI implementation for businesses, including prototyping and failing fast, iterating quickly, and balancing innovation and efficiency. Tobias also talks about his work with Rapid AI, a boutique agency that implements profitable AI use cases in 8 weeks or less for small-medium businesses, and the potential of GPT models for personal development and creative tasks. Finally, Tobias emphasizes the importance of building and investing in projects for maximizing project success through sharing, sustainability, and investment. AND MUCH MORE!!! :)

Tobias Zwingermann: https://www.linkedin.com/in/tobias-zwingmann/
Tobias's book: https://www.amazon.es/gp/product/1098111478/ref=dbs_a_def_rwt_hsch_vapi_taft_p1_i0
Rapyd AI: https://www.rapyd.ai/

Let's Talk AI Team
Thomas Bustos: https://www.linkedin.com/in/thomasbustos/

Artistic Direction & Video: Maxence Kerhoas

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