Recognizing and supporting women in technology is a top priority at Precisely. Whether it’s hosting virtual events for women to connect, or encouraging mentoring opportunities, the Precisely Women...

Key Takeaways By deploying technologies that can learn and improve over time, companies that embrace AI and machine learning can achieve significantly better results from their data quality...

Key Takeaways: Trusted AI requires data integrity. For AI-ready data, focus on comprehensive data integration, data quality and governance, and data enrichment. A structured, business-first approach...

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...