Expert Panel: AI-Augmented Pipelines: Creating Adaptive, Self-Healing Data Flows
Webinar Speaker: TBD
Date: Monday, September 21, 2026
Time: 9:00 a.m. PT / 12:00 p.m. ET
Solving data pipeline and extract, transform, and load (ETL) problems is a top priority for most organizations, according to TDWI research. Thousands of processes with complex mappings, business logic, dependencies, and workflows are running in most large organizations. Troubleshooting performance issues, ensuring data governance compliance, and updating pipelines and ETL jobs are difficult and time-consuming data engineering tasks. Development and management of data pipelines and transformations are often heavily manual activities.
TDWI research shows strong interest in AI-augmented data pipelines and transformation. AI augmentation is enabling organizations to replace legacy systems with adaptive, self-healing data flows and AI-driven orchestration. Tools are also evolving to support AI-augmented document tagging, extraction, structuring, classification, and other processes critical to search, generative AI, and large language models (LLMs).
Join this Expert Panel to hear real-world discussion and thought leadership focused on maximizing the value of next-generation, AI-augmented pipelines and transformation. Topics include:
- How modern tools deploy AI to drive automation of data acquisition, cleansing, transformation, deduplication, and related tasks
- Using predictive analytics to detect pipeline anomalies, optimize performance, and dynamically reroute workloads
- The importance of evolving pipeline management from reactive to proactive through application of machine learning, automation, and observability
Date: September 21, 2026
Time: 9:00 am PT