Map matching algorithms are fundamental to aligning raw positioning data, typically obtained through GPS, with digital road network databases. These techniques address inherent uncertainties in GPS ...

Accurate person identity data is one of the most difficult challenges in healthcare today. The stakes are high; merge the wrong records, and you create a privacy risk; fail to link the right ones, and ...

These days, much of our lives seem dictated by algorithms. Our streaming services decide which movies and TV shows would be a good fit for us based on our previous viewing history and apparent tastes.

AI and ML algorithms rely heavily on vast data for training and development. However, the availability of high-quality, diverse, and secure data can be a significant challenge. In fact, upon not being ...

Accurate linking of an individual's medical records from disparate sources within and between health systems, known as patient matching, plays a critical role in patient safety and quality of care, ...

It can be tough to manage data manually, and doing so can sometimes lead to errors or inefficiencies. Spreadsheets can get overly complex, and data quality can suffer. This has become a large enough ...