Right now, 88% of companies surveyed are turning to AI to improve bug-fixing effectiveness. Why? Troubleshooting modern data stacks is typically a toilsome and manual process. The good news – data teams that use DataOps practices and tools will be 10 times more productive (Gartner). With this in mind, Unravel introduces the new DataOps AI Agent. Learn how this new AI agent enables teams to go beyond observing data pipelines and errors to taking immediate action with purpose-built AI and automation.

Shifting left to put more on developers? They you have to find the right balance between automation and simplicity. Otherwise, you'll end up with complexity that slows everything down instead of speeding it up. @David Morgenthaler says tools like static analysis and AI-driven tests are shaping the future of software quality: Watch the latest episode of Test Case Scenario to explore how automation can streamline processes without overcomplicating development. It’s working for @Indeed.

This video shows you how to use the predictive model data created in video 1 to create a very simple predictive Qlik Sense App.

Introducing our partner Brickeye, who delivers advanced monitoring and management solutions in construction, ranging from water mitigation to concrete monitoring and environmental risk management. Brickeye teamed up with ORIL to streamline interfaces across its apps. By creating a cohesive design system, we ensured that Brickeye’s future products would maintain consistency and benefit from accelerated deployment timelines.