Since the dawn of the digital age, enterprises have worked to improve supply chain performance—integrating systems, breaking down silos, unifying data and investing heavily in automation. Yet as ...

Data is becoming increasingly important to success in the digital economy and data workers spend the majority of their work week on data activities. Users across all geographies, company sizes, ...

While many businesses have strived to make data-driven decisions, the last few years made way for a data revolution in every industry. Now, more than ever, businesses can harness deep, complex data ...

On the face of it, the data required for artificial intelligence (AI) can be analogized to oil. Both raw materials are ...

A Perspective suggests that “digital twins” are not simply tools for science but are an example of the integration of complexity science and data science into a new scientific field. A “digital twin” ...

The majority of organisations have complex IT environments with countless data silos. The inability to consistently control and access data across various repositories and native data sources leads to ...