Introduction

AI Friday:

Welcome to the AI Fridays at STARTPLATZ AI Hub!

Dive into the world of artificial intelligence with our engaging AI Fridays - a weekly exploration designed to unravel the mysteries of AI in a relaxed and interactive setting.

Whether you are a tech enthusiast, entrepreneur, or someone eager to grasp the basics, AI Fridays provide a casual yet insightful platform. 

Join us as we stay ahead in the rapidly evolving landscape of AI, discussing the latest trends and sharing practical tips! 

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What to expect?

  • In-depth Discussions

    In-depth Discussions:

    Engage in insightful conversations about various aspects of artificial intelligence, from foundational concepts to cutting-edge applications.

  • Interactive Workshops

    Interactive Workshops:

    Participate in hands-on workshops designed to enhance your practical understanding of AI tools, technologies and trends.

  • Expert Insights

    Expert Insights:

    Gain valuable insights from industry experts and thought leaders, providing you with a deeper understanding of the current AI landscape.

  • Networking

    Networking:

    Connect with fellow enthusiasts, professionals, and experts in a casual setting, fostering collaboration and expanding your network.

  Previous AI Fridays

AI Friday: 17.11.23

🚀 This Friday is All About GPTs

OpenAI unveiled a new feature at their Developer Conference (06.11.23)! Hamid Hosseini explains what GPTs are and how to leverage them. We will also discuss about the future GPTs store.

 

AI Friday: 10.11.23

🚀 This Friday's Focus: Harnessing Generative AI for Sales & Marketing!

Renat Zubairov from RevOS.ai talks about the potential $4.4 trillion impact of generative AI on the global economy. We will also discuss how generative AI is transforming sales, marketing and customer success.

 

AI Friday: 27.10.23

🚀 This Friday's Topic: Synthetic Data for Medical Imaging

Dr. Sadegh Mohammadi from Bayer Pharma presents how the integration of AI has promised transformative advancements in medical diagnosis. However, a significant challenge persists - the scarcity and heterogeneity of medical data.