Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Data detailed on artificial intelligence have bee n presented. According to news reporting originating from Perak, Malaysia, by Ne wsRx correspondents, research stated, "AI-powered image analysis and pattern rec ognition algorithms (IAPRA) are renowned for their capacity to identify concrete flaws, assess strength characteristics, and anticipate the service life of conc rete. However, its execution in a concrete building is challenging due to severa l unknown aspects." The news editors obtained a quote from the research from Universiti Teknologi PE TRONAS: "This research aims to evaluate the challenges encountered by AI-powered IAPRA and their influence on the concrete industry's digital transformation suc cess. We conducted a quantitative research methodology to identify impediments a nd success variables associated with AI-powered picture analysis and pattern rec ognition algorithms. Structural Equation Modeling (SEM) tests were conducted to determine the critical hurdles associated with AI-powered picture analysis and p attern recognition algorithms. Three reliable and valid formative constructs wer e identified: complexity and privacy, economic and legal, and technology and int egration. The developed model revealed the significance of three reflecting cons tructs: quality control, predictive maintenance, and enhanced productivity. The practical implications include, addressing the identified challenges related to AI-powered IAPRA is crucial for the concrete industry's digital transformation."
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