Antoine Trad, IBISTM, France

The Applied Polymathical/Holistic Mathematical Model for Integrating Data Sciences in Mixed-Methods (AHMM4MM) supports Business transformation projects (simply Project). The AHMM4MM uses various Polymathic Mathematical Models (PMM), that abstract, incorporate, and integrate Data Sciences (DS), AI-Subdomains, Intelligence based Information Communication System (IICS) components with Project’s transformed resources. Transformed resources can be services (and artefacts), success factors (or calibration variables), business processes (and scenarios), mixed-methods, AI-Models (AIM), and adequate Enterprise Architecture (EA) Models (EAM). PMMs, AI based services, resources/artefacts, and EAMs can be used to establish set of Mixed-Methods Patterns (MMP) that include DS technics/capabilities, data-platforms’ access (and management), algorithms-functions, mapping concepts, unbundled services; to model and implement Decision Making System’s (DMS) Processes (DMSP) related infrastructure, data-storage(s), components-models, and end-users’ integration. The integration of MMPs enforces and automated MMP based DMSPs, Project’s validity-checking, and Gap Analysis Processes (GAP); which all need adapted dynamic interfaces to manage and access Enterprise, Project, Data-storage(s), IICS, EAMs, pool(s) of Artificial Intelligence (AI) services, and other types of artefacts and resources. On the other hand, MMPs communicate with other, by using Project’s and AI components; and can use also various medias-types formats, like the eXtensible Markup Language (XML) format, and others. Implemented, imported (or exported) AI or Data-Sciences (DS) contents and structures are combined with other Project’s and IICS artefacts, services, and components, to deliver MMPs for various AI-Subdomains.

Advanced Mixed-Methods, Qualitative and quantitative research, Data Sciences, AI-Subdomains, Polymathical mathematical models, Business and common transformation projects, Enterprise architecture, Artificial intelligence, and Critical success factors/areas.