From Data Chaos to AI Confidence: Simplifying Enterprise Data at Scale(US)

Enterprise data initiatives are increasingly constrained by fragmented data stack—separate platforms for ETL, ELT, reverse ETL, APIs, DataOps, and now AI. Workato Data Orchestration converges all critical patterns your business needs on a single enterprise scale platform.

You’ll see how teams use data pipelines to effortlessly move data from thousands of objects to cloud data warehouses, move high-volume, high-performance workloads, and manage end to end data pipelines—from ETL and ELT to data activation with reverse ETL and governed Data APIs. We’ll highlight powerful transformation capabilities using push-down SQL, Python, and AI agents, along with built-in DataOps and FinOps for observability, reliability, and cost control.

The session will also spotlight how Workato supports AI-ready data workloads, preparing trusted data for AI and securely exposing enterprise data to AI agents using MCP servers—all on one platform.

Join us to explore how you can use Workato for simplifying operations, improving data quality, and reducing cost and complexity.

What will you learn?

• Effortless ELT with scalable data pipelines
• Flexible transformations using SQL, Python, AI
• High-volume, high-performance data pipelines
• Activating data via Reverse ETL and MCP
• Unified DataOps and FinOps controls