Inconsistencies in data quality?

Inconsistencies in data quality are common issues that can arise in various organizations and systems. These inconsistencies can have several origins and can significantly affect the effectiveness and reliability of processes that rely on that data…

Tips for Analytical Project Management in SAP

In today’s data-driven age, organizations are submerged in an ocean of information. The ability to extract value from this data is crucial for strategic decision-making. In this context…

Build more responsible, secure and private AI with AWS

Data security and privacy are also critical to scaling generative AI responsibly. When it comes time to customize and fine-tune a model, organizations need to know where and how their data is being used. They need to be confident their protected data or intellectual…