Analytics

How GenAI early adopters gain a competitive advantage in analytics

With generative AI, you have the opportunity to deliver a data strategy that helps business people answer their most pressing data questions—providing unprecedented value to your internal teams, partners, and customers. Hype around GenAI has overwhelmed people with too many use cases and too little focus on achievable value. That’s why we sponsored a first-of-its-kind survey with MIT SMR Connections, asking 1k global data and business leaders questions.

Data Actionability: Boost Productivity with Unravel's New DataOps AI Agent

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.

Kong Konnect Observability and Advanced Analytics with Dynatrace

Understanding and monitoring the performance and health of applications and systems is critical. This is where observability comes into play. Observability is about gaining a comprehensive understanding of a system's internal state by analyzing the data it generates within the context of real-time events and actions across the infrastructure.

A Comprehensive Guide to Personal Data Protection Laws (PDPL) with Countly

Today more than ever before, businesses must navigate a complex landscape of regulations to ensure they are compliant with various personal data protection laws. From the General Data Protection Regulation (GDPR) in Europe to the California Consumer Privacy Act (CCPA) in the United States, and the Personal Data Protection Law (PDPL) in Saudi Arabia, these regulations set the standards for how businesses collect, store, and process personal data.