The Covid-19 pandemic reminded us that everyday life is full of interdependencies. The data models and logic for tracking the progress of the pandemic, understanding its spread in the population, ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

It seems like everyone wants to get an AI tool developed and deployed for their organization quickly—like yesterday. Several customers I’m working with are rapidly designing, building and testing ...

The healthcare system is faced with a tsunami of incoming data. In fact, the average hospital produces roughly 50 petabytes of data every year. That’s more than twice the amount of data housed in the ...

Did you know that businesses using well-structured data models in Power BI can reduce their data processing time by up to 50%? The key lies in choosing the right schema. Whether you’re leaning towards ...

Navigating the world of data analytics can often feel like solving a complex puzzle. If you’ve already dipped your toes into Power BI and are eager to dive deeper, you’re in the right place. This ...

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 ...

The Data Science and Modeling for Green Chemistry award aims to recognize the research and development of computational tools that guide the design of sustainable chemical processes and the execution ...

Earth observation data underpin climate science, disaster response, and environmental policy, yet inconsistent grid ...