Enterprise Transformation Projects

Abstract

This article illustrates the role and how to design and implement an Enterprise Transformation Projects (ETP) in-house Polymathic Security Learn Process (Concept) that can use the previous ETP’s Holistic Security Concept (ETP-HSC) [1] with a major change, that includes a generic and holistic transcendent Artificial Intelligence (AI) based ETP-PSLP Concept (simply the Concept). The Concept includes interfaces to practically all AI and related technology domains, like Author’s AI modules, Machine Learning (ML), Deep Learning (DL), Big Data (BD), Data Sciences (DS), and others (simply Intelligence). The Concept uses the author’s Polymathic transformation framework and methodology that in this article focuses on ETP’s security by using Polymathic Learning Processes (PLP) [2]. ETPs are complex and have very high level of failure rates (at about 95 percent), and due to this fact, adding difficulties that are related to Security frameworks, Interfaceable AI products, inexistent PLP approaches, can result in a siloed and unmaintainable ETP’s integration. Such a transformation becomes unmanageable. The Concept ensures enterprise’s (simply an Entity) security, business long-term sustainability, and operational excellence, by applying the PLPs to solve encountered problems. ETP’s main problem is in the acceptance of a PLP and Concept [2]. The Concept shows how an ETP integrates PLP based Intelligence to support and resolve Entity’s security breaches. The PLP is supported by the author’s (today usable) Applied Holistic Mathematical Model (AHMM) for PLP based AI (AHMM4AI). The AHMM4AI is the result of many years in research and development in the fields of security, AI, business, financial and organizational engineering, and applied mathematical models. This article is cross-functional research and on an authentic mixed-research method, the Heuristic Decision Tree (HDT) that is ETP’s internal decision-making motor [3,7]. The AHMM4AI based Concept supports: 1) A mixed-method empirical Decision-Making System (DMS); 2) A well-established Action Research (AR) (ideal for PLPs) method for Concept; and 3) A framework for a successful finalization of secured ETPs. The Concept is a new block in the author’s Research and Development Project (RDP) and is a continuation with the aim is to offer an example of an In-House Implemented (IHI) Transformation Framework (IHITF). The Concept includes many of the author’s research works on the applications of ETPs (simply a Project), security concepts, AI, Cloud Services (CS), and Mathematical Models (MM).