Pentaho, an industry leading data intelligence and integration platform utilized by 73% of the Fortune 100, announced significant enhancements to Pentaho Data Catalog, designed to help organizations achieve the data fitness needed for the AI age by increasing quality, observability and trust in data.
The new enhancements to Pentaho Data Catalog expand the capacity of customers like FirstBank and Lightbox to better understand and organize their data, observe how that data is being used, and use automation to improve its quality, governance, and trust. Building upon Pentaho’s 20-year legacy as a category leader in data management, Pentaho’s continued innovation is helping customers achieve foundational, AI-ready data intelligence while avoiding the heavy infrastructure burdens and slow time to value of competing solutions.
“The need for strong data foundations has never been higher, and customers are looking for help across a whole range of issues. They want to improve the organization of data for operations and AI. They need better visibility into the “what and where” of data’s lifecycle for quality, trust, and regulations. And they want to leverage automation to scale management with data while also increasing time to value,” said Kunju Kashalikar, Product Management, Pentaho. “The latest enhancements to our catalog strike at the heart of these issues. We’re excited to bring this continued innovation to our customers and look forward to helping them on their journey to data fitness.”
Pentaho Data Catalog – Policy Improvements, AI Model Management and Data Products
The latest updates to Pentaho Data Catalog extend key capabilities that are becoming more critical in an increasingly complex data landscape being overtaken by AI and regulations.
- An enhanced Data Marketplace experience enables executives, business users and data scientists to more easily find curated and trusted data sets for daily and strategic efforts.
- Deeper integrations with Okta and Active Directory improve policy access and security measures, important when guard railing data’s use in AI models.
- Creation of data products with prescribed quality and sensitivity characteristics.
- Data delivery to data points of use including Python IDE, ML Test and Deployment tools.
- Integration with model development for model governance increases visibility into how and where models are accessing data for both appropriate use and proactive governance.
- ML enhancements for data classification, including unstructured data, improve the ability to automate and scale how data is managed for expanding data ecosystems.
- Enhancements to data optimization and re-tiering for structured and unstructured data support the use cases of archiving, migration, and policy driven lifecycle management.
While customers such as the State of Arizona are benefiting from the solution’s robust automation, policy, governance and classification capabilities, Pentaho Data Catalog has also been receiving significant industry attention. Pentaho was named a Major Player in the IDC MarketScape: Worldwide Data Intelligence Platform Software 2024 Vendor Assessment (doc # US51467224, November 2024), along with being recognized recently by BigDATAwire (Pentaho Data Catalog – 2024 Reader’s Choice, Best Big Data Product: Data Catalog /Security /Governance) and the Data Breakthrough Awards (Pentaho Data Catalog – Data Catalog Solution of the Year).
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