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Automates data quality and management across platforms.

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Overview

ONE AI is an innovative AI platform that redefines data management by integrating an autonomous data companion into the Ataccama ONE platform. It empowers organizations to enhance their data governance and quality management with advanced AI capabilities.

Key Features:

  • ONE AI automates data quality (DQ) transformations, allowing users to generate complex DQ rules from plain text and apply them at scale with automated suggestions.
  • The platform includes anomaly detection and assisted DQ rule management, ensuring both known and unknown data quality issues are addressed effectively.
  • ONE AI offers copilot-powered capabilities that enhance decision-making by providing smart suggestions, generating content, and automating routine tasks.

Benefits:

  • ONE AI enables teams to innovate faster by automating data tasks, allowing organizations to do more with their current resources and scale their data management efforts.
  • The platform accelerates data governance maturity with self-service, no-code data tools, enabling users to complete complex tasks in weeks instead of months.
  • ONE AI reduces the barriers to data governance excellence by encouraging organic, organization-wide engagement and driving successful data initiatives with minimal overhead.

Use Cases:

  • Data leaders can boost revenue from core business initiatives by up to 8% and cut technology costs for data management tools by up to 25% with ONE AI's automated, streamlined data quality and governance.
  • Data practitioners can automate data tasks, boosting productivity by up to 50% across data management teams, allowing them to focus on high-value initiatives.
  • Data users can work smarter by gaining a complete grasp of their data and ensuring its quality from start to finish, with no technical skills needed, thanks to ONE AI's self-service capabilities.

Capabilities

  • Generates data quality rules from natural language
  • Recommends data quality rule applications
  • Develops SQL queries from text prompts
  • Automates routine data tasks and data quality transformations
  • Monitors data freshness and validates data quality
  • Detects and responds to data anomalies
  • Tracks data lineage and sources
  • Facilitates unified data governance, management, and quality across cloud platforms
  • Simplifies migration and distribution of large datasets
  • Provides AI-driven data matching proposals and enhances record matching
  • Gathers data from on-premise and cloud sources efficiently
  • Integrates advanced AI observability checks for comprehensive data analysis
  • Creates catalog item descriptions using Generative AI
  • Performs textual and documentation interactions, such as SQL generation and AI matching proposals

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