Implementing AI without a solid data foundation is like expecting a lighthouse to shine through the fog when it’s crumbling from within. The perception is that AI is a plug-and-play solution, ready to illuminate insights instantly. However, the reality is much harsher—if your data is incomplete, inconsistent, or poorly governed, AI will struggle, producing unreliable results that can mislead decision-making. Just as a well-maintained lighthouse ensures safe navigation, clean, structured, and high-quality data is the key to unlocking AI’s full potential. Without it, even the most advanced AI models will collapse under the weight of bad data, leading to costly mistakes and missed opportunities.