By now, most of us will have at least heard of the Internet of things (IoT), with many excitedly anticipating the realm of possibilities that the collection and utilisation of data by IoT devices will eventually offer. Among those possibilities is the invaluable insight that this data will provide, particularly with regards to our interests, preferences and regular habits and practices.
The robots are taking our jobs—or are they? This has been one of the most hotly discussed subjects of recent years as the startling developmental leaps being made in technologies such as artificial intelligence (AI) and robotics continue to make automation more sentient, efficient and productive.
PDFs, office documents, e-mails and texts are everywhere. Today the vast majority of information assets is unstructured and composed in natural language. Most organisations recognise the need to classify and organise these asset types, but why do so few actually practice it?