Thailand Business News – “Overcoming Infrastructure Hurdles to Boost Enterprise Adoption”

Forrester research highlights a significant gap as organizations pursue AI innovation while their core IT capabilities remain underdeveloped. The findings emphasize that successful AI implementation relies more on robust IT infrastructure—such as governance, data quality, and security—than on cutting-edge AI models. However, many companies are misdirecting their investments towards advanced technologies while overlooking these foundational elements.

The widening pilot-to-production gap poses another challenge. Hidden weaknesses in controls and fragmented systems, which often go unnoticed during smaller-scale AI experiments, lead to failed deployments and financial setbacks as these projects scale up. This disconnect results in both cost overruns and potential damage to organizational reputations.

Furthermore, traditional security methods are inadequate for addressing unique AI threats, including prompt manipulation and model drift. Organizations need to develop new frameworks and engage in continuous monitoring to ensure the safe deployment of AI solutions.