Key Takeaways: Data integrity is essential for AI success and reliability – helping you prevent harmful biases and inaccuracies in AI models. Robust data governance for AI ensures data privacy,...

How compliant is your organization with the GDPR (General Data Protection Regulation) requirements that keep personal data only as long as needed for the purpose it was collected?  How easily could...

Key Takeaways Data quality ensures your data is accurate, complete, reliable, and up to date – powering AI conclusions that reduce costs and increase revenue and compliance. Data observability...

Key Takeaways Data fabric and data mesh are modern data management architectures that allow organizations to more easily understand, create, and manage data for more timely, accurate, consistent, and...

Each of the following data mining techniques cater to a different business problem and provides a different insight. Knowing the type of business problem that you’re trying to solve will determine...

Key Takeaways: Data governance has transitioned from a regulatory necessity to a strategic asset that enhances innovation. Robust data governance supports AI applications, ensuring data is AI-ready,...

Jean-Paul Otte recently joined Precisely as Head of Data Strategy Services for Europe. His specialty? Data!  Jean-Paul sat down for an interview where we discussed his background as a former CDO,...

The competition for subscribers is fierce. Telcos constantly seek innovative new ways to gain market share, increase efficiency, improve service, and optimize network investments. For instance,...

As organizations scramble to tap into the immense value of all the data available to them, they also struggle with a growing set of challenges in order to make data-driven decisions using data...