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Visualize BigQuery data with Looker

Learn how to transform your raw BigQuery data into captivating visualizations and actionable insights. This video demonstrates how to seamlessly connect and visualize your BigQuery data using Looker’s user-friendly interface and powerful semantic modeling capabilities. Watch along and discover how Looker and BigQuery empower business users with self-service analytics today.

Hitachi Vantara VSP One SDS Enhances Data Protection with Async Replication and Multi-AZ Support

Businesses face an ever-growing challenge: how to protect and manage their most valuable asset – their data. As organizations scale and digital transformation accelerates, the volume generated daily is staggering. IDC predicts that the global datasphere will grow to 175 zettabytes by 2025, requiring a substantial increase in storage capacity across the industry.

Introducing insightsoftware's Logi Symphony AI Doc Assist!

Introducing insightsoftware’s Logi Symphony AI Doc Assist, your go-to solution for finding quick answers and navigating the Logi Symphony platform efficiently. Whether you need help changing a chart type or removing a filter, AI Doc Assist is context-sensitive, providing accurate and relevant information based on what’s on your screen. Explore how this intelligent assistant can enhance your experience and streamline your workflow!

Streamlining Generative AI Deployment with New Accelerators

The journey from a great idea for a Generative AI use case to deploying it in a production environment often resembles navigating a maze. Every turn presents new challenges—whether it’s technical hurdles, security concerns, or shifting priorities—that can stall progress or even force you to start over.

Qlik AutoML Series - Understanding Coordinate SHAP Analytics - Video 5

In this video, we breakdown the analytics you can create from the provided Coordinate SHAP data when used within Qlik AutoML. SHAP data helps determine the WHY behind the machine learning model predictions. Learn how SHAP values break down the influence of individual features on specific outcomes, helping you gain deeper insights into model behavior. This is part 5 of the Qlik AutoML series, focusing on making machine learning more interpretable for users.