NAIS Lab's Blog

Articles about AI...

ERP Implementation

The topic of this paper is to analyze the ERP implementation in a genetic research institute Jackson Lab.  The company decided to implement ERP to achieve system integration and more efficient tracking of its business processing, however, due to unique operations, that include production of laboratory mice, the customizations in ERP systems were necessary.  Various strategic measures that Jackson Lab performs to reduce risks and costs of customization would be analyzed and best practices identified. 

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Work Breakdown Structure and Arrow Diagrams

Most of the projects, especially in a domain of Artificial Intellegence, benefits from structuring the work to sub-tasks.  Program Evaluation and Review Technique (PERT) is a well-known method used to create a network of tasks within Work Breakdown Structure (WBS). A network of project tasks can be represented either hierarchically or as a graph where activities are mapped to nodes or paths between nodes. Two of most frequently used conventions in associating tasks to the graph are Activity-On-Arrow (AOA) and Activity-On-Node (AON) (Perera, 2011).

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Beyond ERP: Strategic Enterprise Management

The topic of this paper is to analyze various benefits and issues of the traditional ERP systems and the circumstances and reasoning for their evolution to enterprise grade and SEM solutions.  Based on performed analysis, some generic best practices, which could be applied in various use cases, would be identified.

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Introduction to Artificial Intelligence

Artificial Intelligence (AI), as an attempt to reproduce natural intelligence by human-created systems, had a long history, especially in chemistry and medicine.  AI, as an attempt to reproduce natural intelligence by human creation, had a long history, especially in chemistry and medicine.  One of the most significant milestones happened  in 17th century,when  Gottfried Leibniz extended the concept of the calculating machine that operates on discrete concepts.

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Continuous Knowledge Development in Organizations

Fast technological development and worldwide operation integrations had imposed a strong pressure on modern companies to stay competitive, continually producing positive business results and reporting profit to the shareholders.  To achieve these goals, firms had to constantly improve operations.  However, many times, organizations were not able to cope with the internal level of changes necessary to stay on the top, due to the inability to develop or successfully implement necessary knowledge.  Thus, the management frequently opted for strategies, seemingly opposite to the internal knowledge development, such as following the general industry trends or renting expertise through outsourcing or purchase of the external services.  A number of scholarly works explored different methods to achieve the sustainable growth of company efficiency; however, there had been a lack of clear strategies and decision criteria based on a holistic view of the problem.  This study attempted to contribute to a field of continuous knowledge development through a rigorous theoretic framework that integrates multiple prior perspectives.  The proposed model considers the knowledge development, continuous in both time and internal and external business space, as a key enhancement transformation of the organizational identity.  Following the mixed method research approach, the field evidence from a set of subordinate studies had been analyzed and found to confirm the theoretic premises.  Based on the positive relationship found between knowledge creation and the increased organizational capabilities this study proposed a set of recommendations for the sustainable growth path of the firms, which also augments social stability and prosperity.

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