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For upcoming STACK webinars and a full list of our past events, please visit our Meetup page.
Overview
In the next installment of STACK Meetup [AI], we’ll confront the realities of building AI with messy, incomplete, and oftentimes, invisible data. From inconsistent datasets to scenarios where structured data barely exists, this session dives into what it takes to build AI beyond ideal conditions.
Through real-world project experiences, our speakers will share how they have approached data quality challenges, and worked outside the “happy path.”
Walk away with practical strategies and fresh perspectives to help you better navigate the complexities of building AI for real-world contexts. Join the discussion today!
Who should attend: Ideal for AI/ML engineers, data scientists, software engineers and product teams working closely with data and production AI in real-world environments.
Programme rundown
6:30pm – Networking
7:00pm – Introduction by STACK Community
7:05pm – Opening
7:15pm – Doing Useful AI When Far From the Happy Data Path
By Alejandro Seif, Senior Data Scientist, Multimodal AI Squad, AI Practice, GovTech
7:35pm - The Data Reality of AI: Lessons from Real-World Projects
By Silvan Melchior, Principal Data Scientist, Zühlke
7:55pm - Fireside Chat with Q&A
8:30pm - End of STACK Meetup
Last updated 30 March 2026
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