|
Many data pipelines were never designed for the scale and reliability modern AI workloads demand. Today, 90% of AI projects depend directly on data engineering pipelines, yet 30-40% of pipelines experience failures every week as data environments grow more complex.
To keep pace, organizations are moving toward autonomous data pipelines that can automatically detect issues, adapt to changing conditions, and ensure reliable delivery of trusted data for AI and analytics.
To explore how this shift is reshaping modern data architecture, DBTA is bringing together industry experts for a special roundtable webinar.
Join this interactive discussion to learn:
- Why traditional pipelines struggle to support modern AI workloads
- How automation and observability are transforming data engineering
- Strategies for improving pipeline reliability and data quality
- Best practices for building scalable, AI-ready data pipelines
Reserve your seat to learn how organizations are reliably powering the next generation
of AI applications.
Register Now to attend the webinar Building Autonomous Data Pipelines for the AI Era. Don't miss this live event on Thursday, July 23, 11 AM PT / 2 PM ET.
| SPEAKERS |
|
|
|
|
|
MODERATOR |
 |
 |
 |
 |
Vinay Bachappanavar
Product Manager, Data Integration
Informatica from Salesforce |
Paul Watson-Gover
Senior Solutions Architect
WhereScape |
Dave Yaffe
CEO and co-founder
Estuary |
Stephen Faig
Research Director
Unisphere Research and DBTA |
|