As technology and regulations evolve, enterprises need to address data governance throughout pipelines, models, and AI agents ...

Overview: Unstructured data holds a large amount of information, yet remains the least used, making it the biggest growth ...

Governments and industries are advancing new approaches to data governance, from the EU’s digital sovereignty agenda to cryptographic identity in banking and AI agent oversight. These moves aim to ...

SardineAI Corp announced the release of a guide focused on risk problems data challenges and the role of data infrastructure in shaping fraud performance across modern risk operations environments.

Today’s enterprises store valuable business intelligence in documents, including Word files, PDFs, spreadsheets, and physical records. By extracting valuable insights from documents, enterprise ...

IT leaders are confident in their data strategies, yet 79% said projects are hindered by a lack of data access. Here is why ...

Learn how AI-powered discovery uncovers and protects sensitive data across endpoints, cloud tools and generative AI.

Statistics show that by the end of last year, more than half of gen AI projects were abandoned after POC due in large part to ...

Enterprises face challenges in preparing data for generative AI due to data quality and accessibility issues. Gartner ...

At MWC 2026, Huawei released its AIDP. This platform integrates a knowledge base, KV cache acceleration, and a memory bank, and uses the Unified Cache Manager (UCM) to manage and schedule inference ...

By establishing the right data foundation, organizations can support the governance, reliability, traceability and quality ...

Pratiksha Pathak explains why many banks are still treating ISO 20022 as a messaging upgrade rather than the data ...