Rapid Mass Level Organizational AI Sensitization and Skill Development Using No Code AI Tool

Abstract The current data-driven digitalization in the oil and gas industry offers opportunities for enhanced safety, efficiency, and significant financial benefits. It supports the transition from a labor-intensive business model to a technology-centric one. However, this shift can introduce high-skill digital labor demands, substantial technology adoption, in some cases lead to disenfranchisement of existing employee especially where artificial intelligence (AI) is utilized. This endeavor implements several AI experience programs using no-code AI technology to quickly sensitize and develop AI skills across various organizational levels. Four distinct curriculums of 2-hour, 4-hour, 8-hour, and 16-hour durations were developed to provide AI experiences for accomplishing four different skill levels, employee ranges from c-suite executives, regular administrative staff to university faculty and students. The curriculums are designed for non-programmers and non-technical employees, helping them transform real-world problems into AI problems and solve them. Participants gain practical experience in building AI solutions aimed at revenue maximization and cost savings. The learning process is accelerated using a no-code AI tool, which was developed by customizing an automated machine learning Python code to provide an easy-to-use democratized AI interface accessible via a website. A 16-hour AI sensitization and skill development program was implemented for the oil and gas, power and utilities, financial, government and healthcare industries through university short AI experience program. A survey conducted among non-IT, non-programmer participants showed that 61% reported significant transformation in AI understanding, 81% found the program relevant to their industry’s challenges, and 86% gained confidence in solving AI problems independently. The skill development program was also applied in the oil and gas industry through 2-hour, 4-hour, and 8-hour programs to quickly develop AI skills. The novelty of this training program lies in the use of no-code AI technology, which eliminates the need for high-tech AI adoption, tedious programming learning processes, and computer science degrees. This approach allows for rapid mass-level AI sensitization and cultural transformation within the oil and gas industry, enabling more effective operation of AI related endeavors and AI implementation throughout organizations. Recent, introduction of generative AI into this technology provides personalized learning experience based on employee’s domain expertise.

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Publication Details

Published
2024-11-04
DOI
https://doi.org/10.2118/222844-ms
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.53
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Rapid Mass Level Organizational AI Sensitization and Skill Development Using No Code AI Tool

Tasadduq Imam, Kaushik Chowdhury, Syeda Hajira Kawsar
1 citations
Big Data and Business Intelligence
0.53
article

Rapid Mass Level Organizational AI Sensitization and Skill Development Using No Code AI Tool

Tasadduq Imam, Kaushik Chowdhury, Syeda Hajira Kawsar
article en
1 citations

Abstract

Abstract The current data-driven digitalization in the oil and gas industry offers opportunities for enhanced safety, efficiency, and significant financial benefits. It supports the transition from a labor-intensive business model to a technology-centric one. However, this shift can introduce high-skill digital labor demands, substantial technology adoption, in some cases lead to disenfranchisement of existing employee especially where artificial intelligence (AI) is utilized. This endeavor implements several AI experience programs using no-code AI technology to quickly sensitize and develop AI skills across various organizational levels. Four distinct curriculums of 2-hour, 4-hour, 8-hour, and 16-hour durations were developed to provide AI experiences for accomplishing four different skill levels, employee ranges from c-suite executives, regular administrative staff to university faculty and students. The curriculums are designed for non-programmers and non-technical employees, helping them transform real-world problems into AI problems and solve them. Participants gain practical experience in building AI solutions aimed at revenue maximization and cost savings. The learning process is accelerated using a no-code AI tool, which was developed by customizing an automated machine learning Python code to provide an easy-to-use democratized AI interface accessible via a website. A 16-hour AI sensitization and skill development program was implemented for the oil and gas, power and utilities, financial, government and healthcare industries through university short AI experience program. A survey conducted among non-IT, non-programmer participants showed that 61% reported significant transformation in AI understanding, 81% found the program relevant to their industry’s challenges, and 86% gained confidence in solving AI problems independently. The skill development program was also applied in the oil and gas industry through 2-hour, 4-hour, and 8-hour programs to quickly develop AI skills. The novelty of this training program lies in the use of no-code AI technology, which eliminates the need for high-tech AI adoption, tedious programming learning processes, and computer science degrees. This approach allows for rapid mass-level AI sensitization and cultural transformation within the oil and gas industry, enabling more effective operation of AI related endeavors and AI implementation throughout organizations. Recent, introduction of generative AI into this technology provides personalized learning experience based on employee’s domain expertise.

Decent work and economic growth
Openalex Percentile: Top 25%
Big Data and Business Intelligence
0.53
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