Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

This paper, compiled by Prof. Huadong Guo and his team, discusses the potential and utility of Big Earth Data through a number of case studies to support the 2030 Agenda for Sustainable Development.

Overview: Structured online platforms provide clear, step-by-step learning paths for beginners.Real progress in data science comes from hands-on projects and co ...

Data that’s captured isn’t always stored, and storage alone doesn’t get the job done. Many transportation agencies are sitting on troves of data they’re not sure how to interpret. Even when vendors ...

Ever notice in soccer when a midfielder runs his or her legs off to get the ball to a striker who then taps it into the net and gets all the glory? Charlie Berger wants to help database administrators ...

Both fields are in high demand, pay well, and lead to exciting, future-proof careers. If you're deciding between becoming a data scientist or an AI engineer, the choice often comes down to what ...

Data Science is a structured approach to extracting valuable insights from data, and it involves several key stages to ensure success. Let's explore each phase in detail: By following this structured ...

Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects. What is ...

In an era when data-driven decisions and systems influence every sector of business and society, talented professionals who bring an ethical framework to data science are more in demand than ever. The ...

Traditional marketing research often involves assessing the overall market for a good or service, surveying consumers about their likes and dislikes, and conducting focus groups to gauge consumer ...