Cognitive computing: Where big data is driving us

Abstract

In this chapter we will discuss the concepts and challenges to design Cognitive Systems. Cognitive Computing is the use of computational learning systems to augment cognitive capabilities in solving real world problems. Cognitive systems are designed to draw inferences from data and pursue the objectives they were given. The era of big data is the basis for innovative cognitive solutions that cannot rely on traditional systems. While traditional computersmust be programmed by humans to perform specific tasks, cognitive systems will learn from their interactions with data and humans. Not only is Cognitive Computing a fundamentally new computing paradigm for tackling real world problems, exploiting enormous amounts of data using massively parallel machines, but also it engenders a new form of interaction between humans and computers. As machines start to enhance human cognition and help people make better decisions, new issues arise for research. We will address these questions for Cognitive Systems: What are the needs? Where to apply? Which are the sources of information to relying on?