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.

Data architects visualize and design an organization's enterprise data management framework, aligned with enterprise strategy and business architecture.

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into ...

Below, we delve into the effects of digital transformation, how it is reshaping the industry and the questions it raises about the future role of architects.

Architects are marshaling new tools like AI and augmented reality to design the next generation of health-care environments.

To enable that, machine readable and parsed data are becoming foundational for efficient day to day work, lab book writeups, decision making, and formal report writing.

A handful of design firms took AIGA’s raw data and created these infographics, which will run in a gallery online along with the census results.

AI-driven drug-discovery success relies on data quality — what happens when a century of scientific curation is added to the mix?

The flexibility of data lakes, combined with the variety and vast amount of their stored data, makes them ideal for advanced analytics.