Chair: Andreas L. Opdahl
The digital transformation of the society has disruptive implications on all sectors, and conceptual modelling will be no exception. This keynote will cover some of the emerging impacts digital opportunities will have on the way conceptual modelling is conducted and the type of conceptual models needed. First, the move from an age of automation to an age of digitisation shifts the attention from corporations to people leading to a higher demand for digital identities, ‘personal conceptual models’ and a requirement to capture birth-to-death value chains. Second, the pressure to reduce innovation latency will require improvement patterns and predictive capabilities demanding ‘proactive conceptual models’ which will serve as recommender systems for their users. Third, a shift towards ‘real-time conceptual modelling’ will increase the relevance of mining and context-aware solutions leading to a higher alignment between conceptual models and the reality they are depicting. The presentation will end with some further predictions on the nature and research opportunities of ‘conceptual modelling 3.0’.
Chair: Heinrich C. Mayr
The era of big data has arrived. Big data brings us the data-driven paradigm and enlightens us to challenge different classes of problems we were not able to solve in the past. We are beginning to see the impacts of big data in every aspect of our lives and society. There are myriads of big data technologies available to us and much hype on how we can make the most of those technologies to extract values from big data projects. The conceptual modeling community has brought analysis and design as the key components of software and information system development lifecycles. In this talk, I argue that the conceptual modeling community could significantly contribute to the understanding, development, management, and education related to big data projects. I will review recent advances in big data technologies and best practices in big data project management. Then, I will present how the conceptual modeling community could contribute to the successful use of big data technologies and what we can do for the management of big data projects. Finally, I will present several applications from healthcare projects in which I have been involved.
