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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,...
Key Takeaways: Data mesh is a decentralized approach to data management, designed to shift creation and ownership of data products to domain-specific teams. Data fabric is a unified approach to data...
Key Takeaways: In the insurance industry, customer satisfaction has a direct impact on your bottom line. Efficient claims processing and transparent communications are key to customer satisfaction....
Key Takeaways: Cloud migration enhances agility, cuts operational costs, and helps you stay compliant with evolving regulations. Maintaining data integrity during cloud migration is essential to...
We’ve all experienced this firsthand – you need to catch IT security and operational issues before they escalate, and so you invest in one or many ITOps platforms. Yet, you still have challenges...
This year, our annual Data Integrity Summit, Trust ’24, was better than ever – and a big part of what made the event so exciting was our first-ever Data Integrity Awards! We were thrilled to...
At Trust ’24, we had the opportunity to sit down with Allan Christian, CTO of Precisely Engage, to discuss how AI is transforming customer communications and what the future holds for this...
Key Takeaways: Only 12% of organizations report their data is of sufficient quality and accessibility for AI. Data analysis (57%) is the top-cited reason organizations are considering the use of AI....
Key Takeaways: Data democratization is about empowering employees to access and understand the data that informs better business decisions. The rapid advancement of analytical capabilities, capacity,...
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...