Trustworthy AI, Powered by Trusted Data
Key takeaways: The success of your AI initiatives hinges on the integrity of your data. Ensure your data is accurate, consistent, and contextualized to enable trustworthy AI systems that avoid...
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Data Governance in the AI Era: A Conversation with Data Governance Coach Nicola Askham
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,...
Latest posts from our team
Your Guide to Accurate, Reliable AI/ML – Powered by Data Enrichment
Key Takeaways: Data enrichment is the process of appending your internal data with relevant context from additional sources – enhancing your data’s quality and value. Data enrichment improves...
Elevating Trust: Unveiling the New Precisely Trust Center
In an era where digital trust has become the cornerstone of meaningful relationships, Precisely is excited to announce the launch of our new Trust Center – a dedicated hub designed to reinforce our...
Best Practices for Your AWS Cloud Migration
Key Takeaways: As you embark on your own migration journey, there are some key big-picture questions to consider around the best approach to take for your business. In reviewing best practices for...
Women on Wednesday with Kaylee Andrews
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...
5 Data Quality Best Practices
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...
How to Power Successful AI Projects with Trusted Data
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...
9 Mainframe Statistics That May Surprise You
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...
AI Success – Powered by Data Governance and Quality
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,...
Key Data Integrity Trends and Insights for Your 2025 Strategy
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...