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 ...

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 ...

What if analyzing complex datasets felt as natural as having a conversation? Imagine asking your spreadsheet, “What were last quarter’s top-performing products?” and instantly receiving a clear, ...

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 ...

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 ...

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 ...

One drawback of working for so long in the data industry is that I often misjudge what people think about when they think about data. Particularly, I've observed a common misunderstanding about ...