AI systems are only as fair and safe as the data they’re built on. While conversations about AI ethics often focus on model architecture, algorithmic transparency or deployment oversight, fairness and ...

An elegant solution to many embedded software systems problems is leveraging data-centric software design. Data is at the heart of every embedded system. First, data is acquired through sampling ...

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 ...