Muhammad Hassaan Farooq Khan’s research while affiliated with Universiti Teknologi Petronas and other places

... These include high initial investment costs, lack of in-house expertise, data integration and quality issues, and concerns about data security and privacy 42 . To overcome these challenges, small construction firms may need targeted solutions that offer cost-effective, scalable options for adopting intelligent computing technologies 43 . Additionally, increased awareness and education about the potential benefits of these technologies, as well as the development of industry-specific solutions, may help to accelerate their integration into the construction sector 44 . ...

Reference:

Sustainability in construction economics as a barrier to cloud computing adoption in small-scale Building projects

... The use of AI in risk analysis not only increases the speed of decision making but also minimizes risks that may arise due to delays in responding to early warnings regarding the company's financial health. (26) However, the application of AI in bankruptcy risk prediction is also faced with several challenges. One of them is the need for high-quality data, which is an absolute requirement for producing effective prediction models. ...

Reference:

Harnessing Big Data and AI for Predictive Insights: Assessing Bankruptcy Risk in Indonesian Stocks