In this article, we'll look at the challenges of traditional data quality management and how you can get started with augmented data quality. Machine learning models identify and correct data ...

C-level executives should also ensure their AI strategies and business goals are well-aligned. Whether the objective is to ...

Data quality testing platform Soda Data NV today announced the launch of SodaGPT, a data management platform that uses generative artificial intelligence to help users define data quality ...

Data quality management efforts — tied to disrupting innovations, rapid market shifts and regulation pressures — will continue to grow in 2023 and take on a more dominant role in the data ...

DQM is a core capability for organizations that need to make better data decisions. What are the responsibilities of different roles in DQM?

Such models can be termed as generation-1 data quality management models. However, to formalize the management of quality, a function can be set up.

Kore Integrate is the perfect platform to improve Data Quality Management, said Maxwell Dallinga in a recent blog post by Kore Tech. Data quality management is a process to ensure that data is ...

Monte Carlo also releases Data Operations Dashboard to provide a single source of truth for data quality, and new integrations with Microsoft Fabric, Databricks Workflows, and Informatica to ...

IceCream Labs, the leader in intelligent merchandising solutions for e-commerce providers, today unveiled CatalogIQ, an AI-based platform that leverag ...

Reimagining Enterprise Data for the AI EraCAMPBELL, Calif., Aug. 27, 2025 (GLOBE NEWSWIRE) -- Acceldata, a leader in data observability and agentic data management, today announced the General ...