Precisely, the global leader in data integrity, announced significant advancements to the Precisely Data Integrity Suite, including AI-driven innovations, an enhanced Data Governance service, and expanded data integration capabilities. These advancements address key enterprise data challenges such as improving data accessibility, enabling business-friendly governance, and automating manual processes. Together, they help organizations boost efficiency, maximize the ROI of their data investments, and make confident, data-driven decisions.
The innovations are timely with pressure mounting on businesses to achieve AI-readiness, strengthen data governance programs, and embrace cloud adoption – all while navigating a constantly evolving regulatory landscape.
Key highlights include:
AI Manager to Ensure Trusted Data for Analytics
With the addition of AI Manager, customers can leverage Generative AI capabilities within the Data Integrity Suite while maintaining complete control over data sovereignty and compliance:
- Flexible AI model integration: Organizations can register their large language model (LLM) credentials with the Data Integrity Suite starting with AWS Bedrock, ensuring they comply with their organization’s legal and procurement requirements
- Scalable AI/ML functionality: Businesses can efficiently scale AI usage within the Suite by leveraging external LLMs, with processing handled by the infrastructure where the model resides. Customers can turn functionality on or off based on business requirements—giving them full control over when and how AI is applied
- Automated metadata management: AI-generated catalog asset descriptions significantly reduce manual efforts and improve metadata quality – enabling teams to focus on more strategic tasks
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Elevated Data Governance Experience
Customers of the Data Integrity Suite Data Governance service can now benefit from a personalized, intuitive user experience and improved performance for greater productivity. The enhancements facilitate collaboration between business and technical teams, leading to greater data governance adoption, efficiency, and consistency:
- Integrated, persona-based insights: Users can access tailored, role-specific data quality scores, technical details, and relationships at-a-glance to boost engagement and adoption
- Expanded workflow automation: New governance capabilities improve collaboration, streamline accountability, and offer greater flexibility and automation across data stewardship tasks
- Higher performance and scalability: A microservices-based architecture drastically increases performance – simplifying deployments and ensuring faster time-to-value.
SOURCE: Precisely