Are mainframes still relevant today? You bet!  The following ten statistics paint a picture that shows mainframes are still going strong, with no signs of slowing. 1.  The Mainframe Turns 60: A...

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,...

Businesses around the world are facing major challenges due to higher manufacturing costs, disruptive new technologies like artificial intelligence (AI), and tougher global competition. This means...

In the evolving landscape of digital finance, the importance of robust cybersecurity measures cannot be overstated. The European Union’s Digital Operational Resilience Act (DORA) represents a...

Key Takeaways: Data democratization is a process that gives virtually anyone in your organization the ability to understand data for better decision-making. Data democratization has immense benefits,...

Key Takeaways Leverage location intelligence (LI) to make informed business decisions with spatial data insights. Use accessible LI tools to democratize data and enable competitive advantages. Ensure...

As the holiday season approaches, the retail landscape is poised for a significant shift. For retailers, this period is about more than just managing the influx of shoppers; it is about seizing the...

Key Takeaways: • Implement effective data quality management (DQM) to support the data accuracy, trustworthiness, and reliability you need for stronger analytics and decision-making. • Embrace...

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...