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!
More information
Course Includes:
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Cost:
Free
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Instructors:
Jakow, Lukas, Akram, Lorenz + invited
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Duration:
2 hours (3 pm to 5 pm)
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Participants
20
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Location
Cologne, Duesseldorf
What to expect?
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In-depth Discussions:
Engage in insightful conversations about various aspects of artificial intelligence, from foundational concepts to cutting-edge applications.
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Interactive Workshops:
Participate in hands-on workshops designed to enhance your practical understanding of AI tools, technologies and trends.
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Expert Insights:
Gain valuable insights from industry experts and thought leaders, providing you with a deeper understanding of the current AI landscape.
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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.