Key Points Lean Six Sigma is an organization-wide change to make. If you’re ill-prepared for the change, expect quite a few growing pains. Confer with a change manager before you make the switch to ...

To manage data quality effectively, transparency is crucial. It is essential to be aware of issues and run scans to identify similar records using a modern MDM system. Implementing safeguards to ...

Improved decision making: High-quality data provides a solid basis for making strategic decisions. Leveraging accurate data to identify trends, forecast future outcomes, and develop effective business ...

This year, data engineering will have become the backbone of every digital transformation strategy. With the growing complexity of data sources and increasing demand for real-time analytics, companies ...

Object storage, data lakes, and Edge computing will play a big part in shaping the future of unstructured data storage and AI ...

Nearly half (48 per cent) of banking, financial services and insurance (BFSI) companies flagged data security as their top ...

While we’ve reached a consensus that GenAI is the future and that data quality is critical for success, the challenge of how to obtain the right level of data quality remains. At the core of ...

In this news, a new survey from Hitachi Vantara reveals that while financial leaders prioritize security, neglecting data ...

YRI is charged with implementing ... useful quality assurance metrics. There are risks regarding AI, however, and in the health and human services area, there are unique data privacy concerns ...

A key challenge in AIGC's growth is the quality of data that powers these systems. While the algorithms and computing power behind AIGC are impressive, the effectiveness of these systems is ...