AI, at its core, is a learning machine. It thrives on data, but not just any data. High-quality data is the fuel that powers accurate and reliable AI models. The solution lies in a fundamental shift in mindset. Before diving headfirst into AI, organizations must prioritize data preparedness. This goes beyond simply cleaning existing data; it also means embracing the immense potential of unstructured data, a hidden treasure trove waiting to be unlocked. Sounds interesting? Join us at Bytes and Brews as we delve into the importance of prioritizing unstructured data in enterprise AI development and strategies that can help them enhance data quality, take control of their data landscape, and unlock the true potential of AI—one that’s ethical and transparent.