What weβre about
Learn from thought leaders, network with like-minded students & professionals, and explore the present and future of AI π€
For questions, suggestions, feedback or if you want to support the event by hosting or becoming a sponsor and gain visibility in the AI & data space, don't hesitate to reach out:
βοΈ E-mail: [email protected]
π Phone: +32 488 988 564
π LinkedIn.com/in/AI-Landscape
Use the Google Forms for anonymous feedback.
Upcoming events (1)
See all- AI Disruption & Strategy: To AI or not to AI?KU Leuven - Campus Opera, Antwerp
π§ Join us for an insightful evening on adopting AI with high-impact use cases and discover why more than 80% of AI/data science projects fail, featuring keynotes from industry leaders.
π£οΈ Guest Speakers
- Stijn Christiaens: Co-Founder of Collibra, Belgiumβs first tech unicorn and a leader in Data Intelligence and Governance, currently valued at over $5 billion.
- Maxime Vermeir: Sr. Director of AI Strategy at ABBYY, specializing in intelligent document processing and transforming data into actionable insights.
- Levi Slap: Director of Data & AI at AG Solution Group, guest lecturer at KdG, and AI expert at Agoria and VLAIO.
Agenda
- 18h30: Registration
- 19h00: Guest speaker sessions
- 20h45: Networking - Free pizza & drinks ππΉ
- 22h00: Closing doors
π π§πΌπ½πΆπ°π
β’ Where to start with AI adoption?
β’ Why do 80% of AI projects fail?
β’ How to identify high-impact use cases & track ROI?Location
π KU Leuven - Campus Opera (Jezusstraat 30, 2000 Antwerp)
π ΏοΈ Parking Hopland | Walking distance from Central Station πContact
For questions, suggestions, feedback or if you want to support the event by hosting or becoming a sponsor and gain visibility in the AI & data space, don't hesitate to reach out:- βοΈ [email protected]
- π 0488 988 564
- π LinkedIn
By attending this event, you agree to our Terms of Service:
https://www.ailandscape.be/policy/terms
Group links
Find us also at
Related topics
- Big Data
- Machine Learning
- Data Analytics
- Data Visualization
- Data Science
- Artificial Intelligence
- Business Intelligence
- Data Management
- Artificial Intelligence Applications
- Artificial Intelligence Machine Learning Robotics
- Data Engineering
- Python
- Artificial Intelligence Programming
- Deep Learning
- Professional Networking