In an era where data is frequently likened to "the new oil," effective data management is essential for organizations striving to stay competitive. The rapid growth in data volume and complexity has ...

In 2025, enterprises are leveraging AI capabilities to enhance data management. Just like 2023, 2024 was a dynamic year for enterprise data management, and 2025 is shaping up to bring even more change ...

Today, the amount of data that an organization needs to manage and analyze overwhelms many CEOs. Their concerns are not unfounded. Data management is about defining processes and procedures to ensure ...

Unlock AI's true potential with data quality, integrity and governance.

Dr Rao is currently teaching risk management in the institute of Insurance and Risk Management (IIRM). A career banker with Bank of Baroda, he held the position of General Manager - Strategic Planning ...

Here are seven simple steps that will help in the extension of data life and will also assist in helping data retain its worth: 1. Data Sources: All data sources must follow stringent protocols of ...

Pharmaceutical and biotechnology companies generate mountains of data that need to be interpreted into information to make decisions. Knowledge about product quality and patient safety need to be ...

AI-driven MDM systems empower organizations to adapt efficiently to evolving data landscapes, ensuring data remains a valuable asset that supports business goal Master Data Management (MDM) ensures ...

Universities must tighten the quality of the data entered into AI models to improve the output generated by tools such as chatbots. Universities have been cautious adopters of artificial intelligence.

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 ...