From Chaos to Control: Mastering Data Quality in Streaming
A straight-talking session for data leaders and strategists on why proactive data quality matters for Kafka, streaming, and AI. No technical deep dives.
Speakers
Data is your most valuable asset, if you can trust it.
Join us for a high-level discussion on why proactive data quality is the key to getting more from your Kafka pipelines, real-time streaming, and AI initiatives.
Frances O'Rafferty, a leading voice in data and analytics from Baringa, and Quentin Packard, VP Sales at Conduktor, will take you through the big questions businesses need to be asking about data quality today. They'll explore how clean, reliable data can make or break your streaming strategy and what it takes to ensure your data works for you, not against you.
What You'll Learn
- How to stop firefighting and start managing data quality proactively in your streaming workflows
- The real cost of bad data and how it impacts everything from AI models to decision-making
- Why data governance is more than a compliance checkbox—it's essential to building trust across your organization
This is a Streamline: Conversations in Data session for data leaders, strategists, and anyone looking to get more out of their data. No technical deep dives, just a straight-talking conversation on how to get ahead with trusted data.
