Unfortunately, many organizations fail to bring together diverse expertise for a holistic understanding of the data and its requirements. Teamwork can be challenging because businesspeople ...

Organizations often force the DBA to take on the job of data modeling. That does not mean that DBAs are well-trained in data modeling, nor does it mean that DBAs are best suited to take on this task.

Advances in cloud computing, digital twins and AI enable better data utilization, operational efficiency and decision-making.

With countless different providers, solutions and models on offer, many IT teams find it hard to make informed decisions and identify the one solution that works best for their organization.

The Rise Of Data-Driven Decision-Making Gone are the days when decisions were made solely on intuition or past experiences. The advent of advanced data analytics technologies has transformed how ...

A taxonomy and labeling system helps organizations identify the sensitivity of different data types, such as personal identifiable information (PII), intellectual property, and financial and ...

"Data organizations have traditionally had capabilities to work with only structured data, such as data in tables." Also: Businesses need a new operating model to compete in an AI-powered economy ...

A study of migrants in Italy has shown how statistical modeling can help improve the identification of neglected tropical ...

Data interoperability is crucial for the successful adoption of VBC and other alternative care models, yet it remains a significant challenge in healthcare. The inability to connect and share data ...