  Today, data is growing at a tremendous rate and, according to the
International Data Corporation, it is expected to reach 175 zettabytes by 2025.
The International Data Corporation also forecasts that more than 150B devices
will be connected across the globe by 2025, most of which will be creating data
in real-time, while 90 zettabytes of data will be created by the Internet of
Things devices. This vast amount of data creates several new opportunities for
modern enterprises, especially for analysing the enterprise value chains in a
broader sense. To leverage the potential of real data and build smart
applications on top of sensory data, IoT-based systems integrate domain
knowledge and context-relevant information. Semantic Intelligence is the
process of bridging the semantic gap between human and computer comprehension
by teaching a machine to think in terms of object-oriented concepts in the same
way as a human does. Semantic intelligence technologies are the most important
component in developing artificially intelligent knowledge-based systems since
they assist machines in contextually and intelligently integrating and
processing resources. This Chapter aims at demystifying semantic intelligence
in distributed, enterprise and web-based information systems. It also discusses
prominent tools that leverage semantics, handle large data at scale and address
challenges (e.g. heterogeneity, interoperability, machine learning
explainability) in different industrial applications.
