CIO Influence
CIO Influence News Cloud Machine Learning

Cube’s AI-Powered Universal Semantic Layer Unlocks the Value of Trusted Data

Cube's AI-Powered Universal Semantic Layer Unlocks the Value of Trusted Data

Cube unveils breakthroughs in Cube Cloud, making it easy to discover, explore, and access modeled data for everyone

Cube, providers of the universal semantic layer for every data app, announces new capabilities in Cube Cloud. Cube is a leading universal semantic layer used by 4.9 million people to unify business logic, centralize governance and security, optimize query performance, and integrate with any data endpoint. New capabilities include Semantic Catalog and AI Assistant that simplify discovery, exploration, and access to modeled data.

Also Read: Hewlett Packard Enterprise Releases 2023 Living Progress Report

With these new capabilities, enterprises using Cube Cloud can extend the benefits of the universal semantic layer by allowing anyone to search and reuse connected data assets and perform natural language queries. Organizations can also increase productivity by reducing duplicate efforts to model and analyze data, improving collaboration between data engineers and data analysts, and lowering the barrier to entry for business users working with enterprise data.

“As the demand for data grows, delivering value consistently, efficiently, and at scale becomes more challenging,” said Artyom Keydunov, Co-founder and CEO of Cube. “Cube Cloud’s AI-driven capabilities enable more people throughout the organization to make more informed decisions and derive value from the single source of truth the universal semantic layer provides. When it comes to AI, the universal semantic layer is the critical piece of the puzzle to ensure accuracy without hallucinations.”

Also Read: Kurt Petersen joins Camunda as Senior Vice President of Customer Success

For the first time, Cube’s AI-powered universal semantic layer provides new and intuitive search and consumption experiences directly in Cube Cloud for people beyond data engineers. As a result, data analysts can interpret data consistently, while business users gain a better understanding of the data — all leading to faster, intelligence-driven decisions. The new capabilities include:

Semantic Catalog, allowing users to search a connected view of connected data assets. Users can:

  • Search modeled data in Cube Cloud, downstream connected BI content, and upstream tables.
  • Understand lineage, entities, relationships, dimensions, and metrics visually.
  • Explore downstream charts and dashboards across all BI platforms.

AI Assistant, empowering users to ask questions in natural language and get trusted answers. Users can:

  • Gain quick insights with conversational queries, powered by GenAI.
  • Discover available modeled data, downstream connected BI content, and upstream tables visually.
  • Preview charts and move into deeper exploration.
Also Read: SaaS Alerts Enables MSPs to Identify and Automatically Remediate Google Workspace Security Incidents

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

Related posts

ClickHouse Raises $250Million Series B To Scale Groundbreaking OLAP Database Management System Globally

CIO Influence News Desk

VPLS Offers Comprehensive SOC-as-a-Service as Part of Expanded Managed Security Services

CIO Influence News Desk

Gogo’s Nationwide 5G Network Construction Halfway Complete

CIO Influence News Desk