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Semantic data layer startup Cube automates analytics with AI agents
- Cube Dev Inc. is introducing an agentic analytics platform that automates data analytics tasks using artificial intelligence.
- The platform includes AI data co-workers that enhance analytics tasks, support natural language queries, explain insights, and offer comprehensive governance.
- Cube's semantic layer simplifies data access from various systems and addresses challenges of accessing and formatting data from multiple databases.
- Developers can perform real-time calculations on different datasets using Cube's platform and benefit from lower computing costs due to in-memory cache.
- Cube is incorporating AI agents like AI Data Analyst and AI Data Engineer to automate data analytics tasks and enhance the semantic layer.
- The AI agents are designed to provide self-serve analytics, automate semantic models development, and facilitate quicker changes in the semantic layer.
- Cube aims to release more AI agents, including a data science agent for anomaly detection and predictions, later this year.
- The AI data agents by Cube operate autonomously within enterprise data frameworks, ensuring governance controls, trust, transparency, and explainable outputs.
- Cube's AI agents aim to increase the velocity of analysis tasks and reduce the time required for making changes in the semantic layer.
- The combination of Cube's semantic layer and AI agents aims to empower users to explore data independently and efficiently.
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