The fields of Digital Terrain Modeling (DTM) and LiDAR data processing have evolved rapidly, providing critical methodologies for accurately representing the Earth's surface. By integrating advanced ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

flow of information in the research community will be able to gain the most commercial advantage. Individual companies will no doubt develop proprietary databases and proprietary models of their tools ...

A guide to the 10 most common data modeling mistakes Your email has been sent Data modeling is the process through which we represent information system objects or entities and the connections between ...

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

Looking to gain greater insights into surveys? This third part of a series on NLP and survey data explores Latent Dirichlet Allocation, a popular tool to ferret out elusive themes in text comments, ...

OpenAI recently made headlines by acquiring Rockset, a leading real-time analytics company. By acquiring this new asset, OpenAI aims to strategically enhance its data processing, analytics and ...

Did you know that 90% of the world’s data has been created in the last two years alone? With such an overwhelming influx of information, businesses are constantly seeking efficient ways to manage and ...

Advances in process modeling have given industry the tools to better understand the complex operations used to make medicines. The challenge now is understanding how best to combine the various ...

Reservoir modeling integrates geology, petrophysics, geophysics, PVT, and production data into a predictive, physics-based model to forecast fluid flow and optimize field development and operations.