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, ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

SAN DIEGO--(BUSINESS WIRE)--SqlDBM today announced that it has been selected as winner of the “Database Modeling Solution of the Year” award in the 4 th annual Data Breakthrough Awards program ...

For years, the artificial intelligence industry has followed a simple, brutal rule: bigger is better. We trained models on ...

SqlDBM, a leading collaborative, cloud-based data modeling platform for the enterprise, is unveiling Tx, a transformational workflow solution that empowers teams to facilitate both relational and ...

For the financial services and tech industry, successful AI and analytics strategies require expertise in the complex world of data and modeling. In this VB Spotlight event, learn why it’s critical to ...

Longitudinal data analysis encompasses a range of statistical methodologies that examine data collected over extended periods, enabling researchers to disentangle temporal effects and dynamic ...

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 ...

Amazon DocumentDB (with MongoDB compatibility) is a fully managed native JSON document database that makes it easy and cost effective to operate critical document workloads at virtually any scale ...

Experts are increasingly turning to machine learning to predict antibiotic resistance in pathogens. With its help, resistance ...