Hot off it's recent acquisition of data observability leader Databand.ai, IBM is re-imagining data observability for both your modern data stack and IBM Data Fabric.
With all new observability capabilities, IBM is helping organizations detect and resolve bad data before it creates costly impacts to their business.
During this live presentation with a Q&A session, you'll be joined by peers as well as IBM experts to discuss:
- Why everyone is talking about data observability
- What capabilities are needs for proactive data observability
- How data observability improves reliability of data pipelines like Apache Airflow and IBM DataStage
- Live demo of data observability in action
Chief Marketing Officer, Databand
Ryan Yackel is the CMO and Lead Product Evangelist for Databand, an ICM Company. He comes from a background rooted in innovative startups disrupting spaces in DevOps, Machine Identity Management, and Data Observability. Before joining Databand.ai as CMO, Ryan Yackel had successfully built marketing programs for start-ups over the last decade includes brands like QASymphony, Tricentis, and Keyfactor.
Program Director, Product Management, IBM Data and AI Data Integration
Jessie Snyder currently leads the Product Management team for the IBM Data Integration portfolio, covering DataStage and Information Server on Cloud Pak for Data, DataStage as a Service, QualityStage, IBM Address Verification, and the InfoSphere Information Server suite. With almost a decade of experience in product development, she specializes in areas of Data Fabric, Cloud, Multicloud and Hybrid Cloud Data Integration. She holds a Computer Science degree, and has authored eight patents.