Hybrid solution of challenges future problems in the new generation of the artificial intelligence industry used operations research industrial processes

Mohammed, Tareq Abed; Qasim, Mohammed N.; Bayat, Oğuz

doi:10.1145/3460620.3460757

Cited by 3 publications

(1 citation statement)

References 41 publications

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“…In industry 4.0, AI is recognized as the key driver behind the technological advancements. AI is transforming various industries, which is causing the existing industry to grow very swiftly (Cioffi et al 2020;Mohammed et al 2021;Nortje and Grobbelaar 2020). Many companies invest in AI because they perceive it as an opportunity in the current industrial competition.…”

Section: Artificial Intelligencementioning

confidence: 99%

Analyst’s Perception on the Use of AI-based Tools in the Software Development Life Cycle

Giffari,

Ridho,

Indra Sensuse

et al. 2024

J. Sistem Inf. (J. Inf. Sys.)

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Artificial Intelligence (AI) integration has been the goal in many industries, including in the software development industry. One example of this integration comes in the form of integrating AI in the Software Development Lifecycle (SDLC). To date, the difficulties of incorporating AI-based tools into particular phases of SDLC have not received much attention in research. Using qualitative approach, this study aims to discover the perception on the use of AI-based tools and challenges in integrating them in the analysis phase of SDLC. The study finds out that analyst have positive perception about integrating this technology in their field of work but there are some challenges while integrating this technology such as data security and reliability concern, dependency, and adapting to this technology. This study also discovers some key factors of why some analysts adopt or refuse this technology namely time, urgency, budget, and insecurities of the users.

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Section: Artificial Intelligencementioning

confidence: 99%