Data Orchestration
Making Sense of Chaos: Why Unstructured Data is the Key to Agentic AI
In the modern enterprise, data is everywhere but not all of it is understood. While companies have mastered structured data...
Productivity
Data Without Context Is Chaos: How Workato’s Data Orchestration Brings Order to the Enterprise
In the modern enterprise, data is abundant—but meaning is scarce. Every organization today collects and processes terabytes of data each...
Solutions
How Banks and Credit Unions Modernize with Cloud-Native Integration and Automation
Banks and credit unions have faced limitations with legacy banking cores and point-to-point integrations to run their operations for decades....
Data Orchestration
Batch vs. Event-driven Orchestration: What Enterprises Must Rethink
For decades, enterprises have leaned heavily on batch processing to consolidate, transform, and deliver data for reporting and business operations....
Data Orchestration
From ETL to Intelligent Orchestration: Why Enterprises Need a Modern Data Strategy for AI
Over the past two decades, enterprise data management has undergone a massive shift. What began with traditional ETL (extract, transform,...
Data Orchestration
Why Master Data Management (MDM) for AI Is No Longer Optional
Artificial intelligence (AI) is only as good as the data behind it. Yet too often, enterprises rush to experiment with...
