Enterprises racing to deploy generative AI often focus on models. In practice, outcomes depend on how well organizations prepare, manage, and move their data. AI-ready data platforms, vector databases ...

Artificial intelligence (AI) capabilities like machine learning (ML) and natural language processing (NLP) continue to improve, and augmented analytics products can reliably automate many tasks ...

Advanced AI has powered intelligent data management specialist Informatica to leading status in a new report from research firm Gartner on augmented data quality solutions. In that firm's "Magic ...

AI has transformed the way companies work and interact with data. A few years ago, teams had to write SQL queries and code to extract useful information from large swathes of data. Today, all they ...

Qlik(R) , a data integration, data quality, analytics, and AI company, today announced its recognition as a Leader in the 2026 Gartner(R) Magic Quadrant for Augmented Data Quality Solutions, marking ...

Data and analytics (D&A) leaders must continuously improve data quality to ensure the success of master data management, artificial intelligence (AI), machine learning (ML) and more. As you evaluate ...

Today's business environment is dominated by a single topic: data. With each enterprise sitting on a potential goldmine of data from user behavior, sales, marketing campaigns and systems operations, ...

Modern enterprise data platforms operate at a petabyte scale, ingest fully unstructured sources, and evolve constantly. In such environments, rule-based data quality systems fail to keep pace. They ...