Overview: The Java ecosystem now offers a wide variety of ML frameworks - from lightweight toolkits for data mining to ...

Recently, quick-service restaurants are feeling more and more pressure to stay relevant in a highly competitive industry. Some brands are turning to one of digital marketing’s biggest assets, machine ...

Demand forecasting methods have been used in retail for a long time. Most of them are based on historical data, which is no longer useful in the new COVID-19 reality. If you used an ML-powered demand ...

With an increasing number of threats to business security and the growth of application programming interface traffic, Google LLC’s cloud division today announced an API abuse detection dashboard ...

RISELab, the successor to UC Berkeley's AMPLab, also has projects for predictive analytics, security, and context management for data lakes If the University of California, Berkeley’s AMPLab doesn’t ...

While approaches and capabilities differ, all of these databases allow you to build machine learning models right where your data resides. In my October 2022 article, “How to choose a cloud machine ...

The demand for production-quality software for mining insights from datasets across scales has exploded in the last several years. The growing size of datasets throughout industry, government, and ...