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...
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...
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,...
The 2025 Outlook: Data Integrity Trends and Insights report is here! What are the latest data integrity trends you need to know about? How does your data program compare to your peers? Find out in...
The 2025 Outlook: Data Integrity Trends and Insights report is here! What are the latest data integrity trends you need to know about? How does your data program compare to your peers? Find out in...
As we approach 2025, the customer experience (CX) landscape is evolving rapidly, driven by technological innovation, heightened consumer expectations, and a growing emphasis on trust and compliance....
Artificial Intelligence (AI) is all the rage, and rightly so. By now most of us have experienced how Gen AI and the LLMs (large language models) that fuel it are primed to transform the way we...
While women make up nearly half of the global workforce, there remains a gender gap in several industries, including technology. Empowering women to pursue and thrive in technology is a priority for...
Key takeaways: Real-time data is critical for exceptional customer experiences. Customers expect immediate responses and personalized interactions, and streaming data architectures help you meet...
Black Friday has long represented a high-stakes opportunity for retailers, with Big Box and electronics giants vying for dominance. However, this year told a different story. Google Trends revealed...
Key Takeaways: Poor address data can lead to missed deliveries, incorrect customer information, and wasted resources – negatively impacting overall customer satisfaction, operational efficiency,...
Key Takeaways: Centralized visibility of data is key. Modern IT environments require comprehensive data for successful AIOps, that includes incorporating data from legacy systems like IBM i and IBM Z...