☕️ Data Quality & AI – Perfect Blend or Total Buzzkill?
Data quality is like good coffee: absolutely essential if you want to stay sharp and make smart decisions.
Because no matter how powerful your AI is — if the data’s bad, it might as well be reading tea leaves.

In fact, poor data is one of the top reasons AI projects crash and burn faster than your laptop battery during a Zoom marathon.

But wait — can AI actually improve data quality?
And if so, how does that even work?

🤖 Join Us to Find Out:
We’ll dive into how AI can be used strategically to turn data chaos into data gold — with two real-world use cases and hands-on demos that show exactly how it’s done.

📋 Here’s What You’ll Experience:
🔹 Part 1: Why data quality makes or breaks AI (and why it’s often overlooked)
🔹 Part 2: Data Deduplication – Double’s not always better! (Live demo)
🔹 Part 3: Schema Mapping – Making messy data sources play nice together (Live demo)
🔹 Q&A + Networking: Ask questions, share stories, and connect with like-minded folks

💡 Expect:
Practical insights

Actionable demos

Plenty of “Aha!” moments

🎟️ Sound interesting?
Save your spot now – we’d love to see you there!