AI Revolution in IT: Exploring How Companies Embrace Change and Transform the Industry
Hashmat Khalil, Sakhi Ahmad (2024)
2024
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024053119297
https://urn.fi/URN:NBN:fi:amk-2024053119297
Tiivistelmä
This research-based thesis examines the integration of artificial intelligence (AI) in the IT sector, exploring its benefits, challenges, and environmental impact, along with the future of human skills in an AI-driven landscape. The research employed a mixed-methods approach that included a literature review, a survey, and interviews with IT professionals. The study aims to understand how AI is reshaping the IT industry.
The introduction outlines objectives and key concepts, followed by a theoretical framework defining AI, its history, and relevant literature. The research methods chapter explains the chosen methodology, data collection, processing steps, limitations, and ethical concerns. The next chapter presents the findings from the survey and interviews. The discussion chapter explores, evaluates, and concludes the findings.
The study concludes that IT professionals generally view AI integration positively, anticipating improvements in productivity and efficiency. The organizations consider cognitive skills, particularly creative thinking and emotional intelligence, irreplaceable. Despite significant awareness of AI's high energy consumption, there was optimism about its potential to improve environmental sustainability. The majority of companies are investing in training and reskilling their employees for the AI era, although there are significant gaps in structured training. Despite the recognition of AI's benefits like increased productivity and innovation, concerns about data privacy, bias, and ethical issues continued to persist.
The study provides valuable insights for IT companies, HR professionals, policymakers, and researchers, aiding them in navigating AI integration and developing strategies to maximize benefits while mitigating risks. Moreover, the findings are helpful for students and professionals in the IT field to gain an overview of companies' expectations and approaches regarding AI.
The introduction outlines objectives and key concepts, followed by a theoretical framework defining AI, its history, and relevant literature. The research methods chapter explains the chosen methodology, data collection, processing steps, limitations, and ethical concerns. The next chapter presents the findings from the survey and interviews. The discussion chapter explores, evaluates, and concludes the findings.
The study concludes that IT professionals generally view AI integration positively, anticipating improvements in productivity and efficiency. The organizations consider cognitive skills, particularly creative thinking and emotional intelligence, irreplaceable. Despite significant awareness of AI's high energy consumption, there was optimism about its potential to improve environmental sustainability. The majority of companies are investing in training and reskilling their employees for the AI era, although there are significant gaps in structured training. Despite the recognition of AI's benefits like increased productivity and innovation, concerns about data privacy, bias, and ethical issues continued to persist.
The study provides valuable insights for IT companies, HR professionals, policymakers, and researchers, aiding them in navigating AI integration and developing strategies to maximize benefits while mitigating risks. Moreover, the findings are helpful for students and professionals in the IT field to gain an overview of companies' expectations and approaches regarding AI.