It’s a digital-first world, and to keep up with the current industry pace, retail must be prepared to innovate. Innovations like artificial intelligence (AI), Internet of Things (IoT) commerce, robotics and 3D printing have impacted all elements of the retail industry.

Rolls-Royce, one of the world's biggest aero-engine manufacturers, has launched R2 Data Labs, an organisation that it describes as "an acceleration hub for data innovation".

The Lab will use big data analytics, artificial intelligence and machine learning, the company claims, to improve internal efficiency, as well as helping to create new services that it can offer to customers.

In years to come, the Black Friday spectacle of throngs of shoppers scrambling past each other to ransack shelves of flat screen TVs might look very different.

Johnson & Johnson, one of the leaders in pharmaceutical, hygienic and cosmetics products, has chosen Geoconcept data and software to identify the key performance indicators of sales to rank modern retails and drive their go-to-market strategy in China.

According to Techopedia, Big data refers to a process that is used when traditional data mining and handling techniques cannot uncover the insights and meaning of the underlying data. Data that is unstructured or time sensitive or simply very large cannot be processed by relational database engines.

Both Big Data and the IoT are the biggest names in the technology trend these days. There are definitely differences between the two, but there are also similarities that boost systems and operations.

OpenGov speaks to Mr. Cyril Perducat, Executive Vice President Digital Services & IoT, Schneider Electric

A subsidiary of the French electric utility company, EDF (mostly owned by the French state): Dalkia, leading company providing services in the Energy field, has chosen Geoconcept solution for optimizing schedules, Opti-time. Thanks to this tool, Dalkia aims to improve the field intervention of its technical team in France.

The way the world gets from A to B is undergoing a profound transformation, driven by advancements in big-data analysis, artificial intelligence (AI) and the Internet of Things (IoT). While selfdriving cars have captured imaginations worldwide with the promise of safer roads, smoother commutes and less congestion, they are only one part of the greater smart mobility story.