Program objectives :
The amount of data being collected worldwide is increasing exponentially. Simultaneously many related fields such as data science, data intelligence, artificial intelligence, machine learning, and deep learning have also seen a lot of growth and are revolutionising both business and society across the globe. This presents significant challenges for decision-making, and signifies a potential transition towards data-intensive economies, governments, and industrial sectors.
To achieve the above-mentioned purposes, the following objectives are set :
– Develop methods, techniques and strategies for anticipatory systems ;
– Advise companies to implement anticipatory systems in order to make the right decisions.
Key areas of focus :
– Artificial intelligence
– Machine learning
– Natural Language Processing (NLP)
– Competitive intelligence
– Business intelligence
– Data visualisation
– Data sciences
– Sentiment analysis
– Social media Analytics
Program team :
– Mourad Oubrich, CIEMS, Morocco
– Abdelati Hakmaoui, CIEMS, Morocco
– Jonathan Calof, University of Ottawa, Canada
– Scott Cunningham, University of Strathclyde, UK
– Hassan El Majidi, SAS, Morocco
– Hamid El Ghazi, CIEMS, Morocco
– Aziza Amine, CIEMS, Morocco
Jounal Partner :
– Technological Forecasting and Social Change (Elsevier, Impact factor : 5.846)
CIEMS Research in collaboration with “Technological Forecasting and Social Change” has launched a special issue named ” Data Intelligence and Analytics : Understanding the capabilities and potential benefits for business and societal transformation “.
Current Project :
One of the projects of this research program is about the development of anticipatory system.
Big Data, AI is about increasing volumes, velocities and variety of data. This research program attempts to demonstrate how AI is helping in the development of anticipatory system. Robert Rosen (1985) deﬁnied an anticipatory system as a natural system that contains an internal predictive model of itself and of its environment, which allows it to change state at an instant in accord with the model’s predictions pertaining to a later instant”. Therefore, anticipatory system is conducted in order to gain more knowledge about things to come so that today’s decisions can be based more solidly on available expertise than before.
This research program focuses on the potential of anticipatory systems in strengthening competitiveness in the business world by way of streamlining customer experiences and customer purchase journeys. To accomplish this, marketers and artificial intelligence experts need to collaborate, and not compete. Marketers should reimagine their customer-service processes, focusing on using AI to achieve more operational flexibility or speed, greater scale, better decision-making, and increased personalization of products and services.
In doing so, this research program is conducted by a range of scientists and technologists with varying perspectives, interests, and motivations.
Research paper entitled : “ Towards an anticipatory system incorporating competitive intelligence and corporate foresight in creating knowledge : a longitudinal Moroccan bank case study ”, submitted to Technological Forecasting and Social Change (Elsevier, Impact factor : 5.846)