Data has become the frontier at which large language models are trained with high-quality, diverse, and structured data essential for generative AI to produce meaningful output. For these technologies to gain widespread adoption, they must unlock better utility and become part of the mainstream. Artificial intelligence (AI) is firmly on its way to achieving this. From basic real-time image manipulation user experiences that led to popular mobile apps like Prisma to smart assistants like Google’s Gemini. There are moonshot implementations like self-driv