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.

To do so, first enable consumers to easily take control and see exactly what data has been taken. Next, prove the added value they get from brands being the custodians of that data.

To gain business value from data, enterprises need to get their data architecture right – and the right business leadership and culture is critical to that.

iRobot has used its new design, software, and data science strategies to expand into new areas, using an approach to the smart home that is different from its big tech rivals.

Based on a spreadsheet the company posted online at the beginning of January 2018 in order to comply with the EU’s strict data privacy laws, the visualization breaks the many companies that ...