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.

Right now, 88% of companies surveyed are failing to achieve optimal price/performance for their analytics workloads. Why? They don’t have the staff, their skilled engineers spend too much time doing toilsome work, and optimizing data workloads for performance and efficiency. With this in mind, Unravel introduces the new Data Engineering AI Agent in this recording. Learn how this new AI agent enables teams to go beyond observing data pipelines and code to taking immediate action with purpose-built AI and automation.

80% of data management professionals surveyed cited difficulty accurately forecasting data-related cloud costs (Forrester). Why? They lack granular visibility to allocate costs, the information they need is in silos, and they don’t have AI or automation to forecast spending. With this in mind, Unravel introduces the new FinOps AI Agent. Learn how this new AI agent enables teams to go beyond observing overall spend to taking immediate action with purpose-built AI and automation.

65% of data and analytics leaders reported that data observability would be a core element of their data strategy within two years (Gartner). Why? Rising demand for GenAI increases the pressure on data teams to deploy reliable pipelines that provide diverse and reliable data. With this in mind, Unravel is hosting a live event to introduce new AI agents for FinOps, DataOps, and Data Engineering. Learn how these new AI agents enable teams to go beyond just observing problems to take immediate action with purpose-built AI and automation.

88% of Databricks users surveyed are turning to AI to improve bug-fixing effectiveness (Databricks). 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 is hosting this live event to demonstrate how AI-enabled observability for Databricks’ Data Intelligence Platform helps you proactively achieve performance and reliability.

40% of companies surveyed will increase their AI investment because of advances in GenAI (McKinsey). And 80% plan to maintain or increase their investment in data quality/observability (dbt). With this in mind, Unravel is hosting a live event to help you leverage data observability to achieve speed and scale with Snowflake. Join Unravel Data for this event about automating tuning with AI-powered data performance management for Snowflake with Eric Chu, Unravel Data VP of Product, and Clinton Ford, Unravel Data VP of Product Marketing.