STACK Meetup [AI]: Why Data Reality Shapes AI Development and Outcomes

ANNOUNCEMENT – Registration via this link only.

• Seats are on a first-come, first-served basis.
• For admission into our event space, please register beforehand via GovEntry only.
• Please present the QR code within your registration confirmation email upon check-in at our event space.

About this Meetup
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!

Programme
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

Click here* to sign up!
*Registration will be accepted via GovEntry only.