In today’s fast-changing data landscape, having a strong data system and advanced analytical tools is key to getting valuable insights and staying ahead of the competition. The data lakehouse ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...

Here are 15 data management and data analytics companies, part of the inaugural CRN AI 100, that are playing an outsized role in AI today. AI needs data–lots of it–to work. Otherwise, the old adage of ...

Predictive analytics and machine learning help companies make better decisions by anticipating what will happen. Both approaches can predict future outcomes by analyzing current and past data. As such ...

The world as we know it has been transformed by AI, but perhaps no field has been more profoundly affected than analytics and data science. While traditional data science practices have paved the way ...

Organizations that want to take advantage of machine learning capabilities require a comprehensive data preparation strategy. Data preparation consists of making data sets available to ML algorithms.

Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy (XAS) is an important technique for this, as it reveals detailed insights ...

Led by machine learning expert Dave Langer, you will learn everything you need to get started and advance your skills – from basic techniques like classification and regression to advanced techniques ...

This move reflects a broader strategy to reinforce China’s position within Apple’s global technology ecosystem.

Chemists have created a machine learning tool that can identify the chemical composition of dried salt solutions from an image with 99% accuracy. By using robotics to prepare thousands of samples and ...