Continued scaling of integrated circuits to smaller dimensions is still a viable way to increase compute power, achieve higher memory cell density, or reduce power consumption. These days, chip makers ...

ChatGPT offers Advanced Data Analysis, a powerful tool that helps users crunch data and search for insights. Over the past year, I've had the opportunity to use it to quite good effect. Other AIs are ...

The design of your study, the research questions you’ve posed, and types of data you’ve collected (e.g., quantitative, qualitative) are important considerations in determining the data analysis and ...

In today’s data-driven world, the ability to quickly and accurately analyze information effectively is a pivotal skill across a wide variety of different industries. If you have large amounts of data ...

Apache Spark and Hadoop, Microsoft Power BI, Jupyter Notebook and Alteryx are among the top data science tools for finding business insights. Compare their features, pros and cons. While data has its ...

Collecting and Processing data involves clearly defining “Who or what” you will study or evaluate and “When” you will do so. You should consider the demographic characteristics of your study ...

Last week, Anthropic (which has a $4B investment from Amazon) announced that Claude 3.5 Sonnet now supports data analysis. TechCruch's headline for this capability was "Anthropic's AI can now run and ...

Big Data analytics requirements have forced a huge shift in data storage paradigms, from traditional block- and file-based storage networks to more scalable models like object storage, scale-out NAS ...