New in GX Cloud: ExpectAI evolves with user-driven intelligence
We’re pleased to announce a major upgrade to ExpectAI in GX Cloud: an all-new approval workflow that gives you more control over how AI-generated Expectations are applied to your data.
ExpectAI is our AI/ML-powered recommendation engine. It helps you define Expectations faster, accelerating the time to value for data teams that want to get started with data validation quickly. But like any good recommendation system, it works best when humans are in the loop.
Data quality issues silently drain productivity. Your data engineers spend hours troubleshooting broken pipelines, data analysts question the accuracy, and stakeholders lose confidence in dashboards. Each validation rule manually created represents time your team could spend on higher-impact work.
Smarter approval workflow
The ExpectAI approval workflow fundamentally transforms how you interact with AI-generated validation rules. When ExpectAI analyzes your data in the background, it presents AI-recommended Expectations and thoughtfully curated validation suggestions in the UI.
It lets you carefully review and selectively approve only those rules that align with your specific data requirements and business context. Once approved, these rules seamlessly integrate into your data pipeline, providing immediate protection against quality issues. Even better, the system respects your workflow by preserving progress between sessions. If you need to step away, your suggestions remain accessible for 48 hours, with helpful email notifications alerting you when they're ready for review.
More reliable data with less work
Teams implementing this approval workflow have experienced improvements in their data operations. Reduced time spent creating validation rules translates to measurable productivity gains across the organization. Data teams now identify subtle anomalies faster, leading to greater confidence in automated data quality processes. This efficiency boost allows teams to redirect their expertise toward strategic initiatives that drive meaningful business value rather than manual rule creation.
Shaping ExpectAI
The brief survey that appears after reviewing suggestions serves as a direct channel for improving the system. As you provide feedback on the relevance and quality of suggestions, ExpectAI continuously refines its understanding of your specific data environment. This creates a cycle in which your input directly enhances the system's ability to generate increasingly valuable Expectations tailored to your unique needs.
Try the new ExpectAI approval workflow today to experience the difference between generic AI suggestions and truly context-aware data validation.
