Addressing gaps in AI adoption can propel enterprises toward sustainable growth, enhanced operational resilience and ...

Let’s face it — data governance has never been just about ownership and stewardship. As Jonathan Reichental notes in “Data ...

To integrate AI well, leaders need a plan that includes upskilling staff, protecting team dynamics, and making space for empathy. Human qualities should be seen as strengths, not weaknesses, in the ...

Modern CMOs must move beyond traditional roles to integrate data fluency, creative leadership and business strategy into a ...

Master Data Management With an increasing variety of systems, IT professionals, and customers creating and accessing data throughout enterprises as well as partner organizations, Master Data ...

Data Integration Traditional approaches to the process of combining disparate data types into a cohesive, unified, organized view involve manual coding and scripting. The need for Real-Time Business ...

Discover 12 powerful digital marketing strategies that are transforming businesses in 2025. From AI personalization to ...

Master Data Management (MDM) helps retailers consolidate different views into one, ensuring data is accurate, consistent and ...

Clients rely on Clearwater to aggregate, reconcile, and validate data from various custodians, investment managers, and investment systems. This enables clients to efficiently perform investment ...

The Cloud Integration Gap Traditional ETL (extract, transform, load) approaches have long been used to extract platform data into data warehouses. However, they suffer from several limitations in ...

Industry analysts explain how Salesforce's $8 billion Informatica acquisition will transform enterprise data management and accelerate agentic AI adoption .

Combatting data silos begins with clear governance. Robust data stewardship programs that span business functions significantly improve integration consistency. These programs define ownership, ...