Enterprise Transformation Projects is a B.Tech project topic for Computer Science & Engineering. It gives students a clear starting point for research, implementation planning, and documentation.
Enterprise Transformation Projects Project Details
| Abstract |
This research investigates the design and implementation of an in-house Polymathic Security Learn Process (PSLP) concept specifically tailored for Enterprise Transformation Projects (ETPs). Building upon the foundational ETP’s Holistic Security Concept (ETP-HSC), this work introduces a generic and holistic Artificial Intelligence (AI) based ETP-PSLP. The proposed concept integrates various AI and related technological domains, including Machine Learning (ML), Deep Learning (DL), Big Data (BD), and Data Sciences (DS), to create a comprehensive intelligence framework. ETPs are characterized by their inherent complexity and a high failure rate, often exacerbated by challenges in integrating security frameworks, interfaceable AI products, and the absence of robust Polymathic Learning Process (PLP) approaches. Such deficiencies can
lead to siloed and unmanageable integrations. The presented PSLP concept leverages a Polymathic transformation framework and methodology, focusing on enhancing ETP security through PLPs. This approach aims to address critical issues, thereby ensuring enterprise security, fostering long-term business sustainability, and promoting operational excellence within complex transformation initiatives.
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| Reference Paper |
Enterprise Transformation Projects |
| Domain |
Computer Science & Engineering |
| Sub-Domain |
Artificial Intelligence & Machine Learning |
| PDF Download |
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| Get Help |
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