Precisely adds natural languages interfaces

Data integrity provider Precisely enhances its Data Integrity Suite to include natural language interfaces, aiming to offer enterprises AI-based solutions that emphasise reliability, utility, and user control.

Building on Precisely’s proven track record of innovation, the new updates deliver AI-powered assistance across the data quality lifecycle, removing barriers for both business and technical users.   “At Precisely, we’re committed to applying AI in ways that deliver measurable impact for our customers,” comments Chris Hall, Chief Product Officer, Precisely. “This release marks another milestone in equipping organisations with intuitive, AI-powered tools that make data quality faster, more accessible, and more flexible than ever before – unlocking the true value of data across the enterprise.”

New capabilities include:

Natural language interfaces – Data quality tasks described in plain language are automatically converted by AI into custom code, making advanced data quality accessible to both technical and business users.

AI-powered rule and description generation – Data quality rules and descriptions created from natural language prompts reduce manual complexity and save time.

AI-generated sample data – Data produced by AI for testing purposes helps to validate logic, accelerate deployment, and increase confidence in results.

LLM integration in pipelines – Large language models (LLMs) integrated directly into transformation pipelines, with support for “bring your own LLMs,” enables more intelligent automation while maximizing flexibility.

The latest release introduces AI-powered features to help organizations quickly operationalize high-quality, AI-ready data.  With user-friendly no-code interfaces, both technical and business users can support data quality initiatives.  Expanded support for external LLMs allows enterprises use Precisely’s trusted framework with their preferred AI models for greater choice, control, and faster results.