The rapid expansion of the Web has necessitated the development of advanced data management techniques capable of handling imprecision and uncertainty. Fuzzy data modelling offers a rigorous framework ...

In the dynamic world of technology, Raghavendra Sangarsu emerges as a trailblazer, particularly in the realm of relational databases. With a wealth of experience exceeding 13 years in the IT industry, ...

Uncertainty quantification (UQ) is a field of study that focuses on understanding, modeling, and reducing uncertainties in computational models and real-world systems. It is widely used in engineering ...

If you're wondering whether data modeling is still relevant in today's fast-paced, data-driven world, this white paper is for you. You'll discover how data modeling can help you overcome challenges ...

Just as machine learning, artificial intelligence, data modeling and analytics platforms have transformed manufacturing, drug discovery, health care and operations in a host of other industries, these ...

SAS wants to supercharge your business analysis, through new software that automatically builds multiple models of data and picks those that best predict future events. “If you take too long coming up ...