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 ...

Understand how combining proprietary and real-world datasets with tokenization enables accurate protocol matching while ...

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 patient matching across the care continuum is essential for quality and safety. It's also key to driving down healthcare costs by reducing the ordering of duplicative medical tests. But ...

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.

Geospatial data integration and matching techniques are pivotal in reconciling spatial information from diverse sources, enabling comprehensive representation and analysis of the physical world. These ...

Data Ladder performs data quality reviews as a service to ensure your data is clean, complete and accurate. Discover more now. Image: Molnia/Adobe Stock Data quality management relies heavily on ...

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 ...

Forbes contributors publish independent expert analyses and insights. Steve Andriole writes about all things digital - and especially AI. Very few executives understand the full range of digital ...

The Australian aged care landscape is experiencing a technological revolution. As families navigate increasingly complex ...