Realizing intelligent services are the eternal aims of researchers, enterprises and governments. Big data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. It provides more opportunities for providing intelligent services based on big data analytics. Big data technologies in industry services and everyday life have led to the emergent and data-focused economy stemming from many aspects of industrial applications. The rich and vast services are creating unprecedented research opportunities in diverse industrial fields such as public health, urban studies, economics, finance, geography and social sciences. Big data services are deployed in a multi-scale complex distributed architecture. They can further formulate a high-level computational intelligence which is based on emerging analytical techniques such as big data analytics. Computational intelligence employs many existing software tools from advanced analytics disciplines such as natural language processing, machine learning, data mining and predictive analytics. Computational intelligence also becomes increasingly important to anticipate technical and practical challenges and to identify best practices learned through experience. This workshop aims to presenting novel theories, technologies and solutions to challenging technical issues as well as the compelling industrial systems. This workshop will share research works and related practical experiences to benefit the participants of intelligent big data analytics and services. This will verify that big data services are playing an important role in supporting computational intelligence for the industry systems. It has also established a new cross-discipline research topic in computer science, information science and industry engineering.