
dbt
dbt empowers data teams to deliver reliable, governed data faster and at scale.


Infoworks is an enterprise AI data agents platform that helps businesses discover, identify, organize, catalogue, and clean enterprise data with minimal human intervention. It acts as an AI-powered offering within Uniphore’s comprehensive end-to-end Enterprise AI platform, enabling a Zero Data AI approach. The platform utilizes intelligent agents to automate data management tasks, reducing the reliance on manual data wrangling processes. It integrates with existing data infrastructure to streamline data operations, making data readily available and usable for AI initiatives. Infoworks allows businesses to accelerate AI deployments and drive measurable business outcomes by enabling them to create Zero Data AI clouds.
Infoworks is an enterprise AI data agents platform that helps businesses discover, identify, organize, catalogue, and clean enterprise data with minimal human intervention.
Explore all tools that specialize in orchestrate data workflows. This domain focus ensures Infoworks delivers optimized results for this specific requirement.
Explore all tools that specialize in monitor data quality. This domain focus ensures Infoworks delivers optimized results for this specific requirement.
Explore all tools that specialize in data cataloging. This domain focus ensures Infoworks delivers optimized results for this specific requirement.
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Automatically identifies and catalogs data assets across diverse sources using AI agents.
Uses machine learning to detect and resolve data quality issues such as inconsistencies and missing values.
Creates and manages data pipelines to integrate data from various sources into a unified data lake or data warehouse.
Maintains a comprehensive metadata repository to track data lineage and ensure data governance.
Monitors data quality and performance in real-time, providing alerts for anomalies and potential issues.
Assess existing data infrastructure and identify data sources.
Deploy Infoworks AI data agents to connect to identified data sources.
Configure data discovery and cataloging parameters.
Train AI agents to identify and clean data anomalies.
Implement data integration pipelines to consolidate data.
Monitor data quality and agent performance.
Integrate cleaned and cataloged data into AI models and applications.
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