Artificial intelligence (AI) is typically associated with unstructured data, like chatbots and image generators. However, at Kayzen, we focus on the structured data realm vital for programmatic advertising. This led to the development of kAI, the first AI agent for programmatic in-app supply. kAI addresses challenges unique to structured data, which includes databases and bid requests that must be accurate and consistent. Programmatic advertising thrives on vast data, requiring swift decisions that humans can’t handle alone.
Key challenges in building kAI include ensuring data cleanliness, identifying essential metrics, and preventing inaccuracies or “hallucinations.” We emphasize starting small with relevant dimensions that matter for marketers, while maintaining a balance between accessibility and transparency in AI interactions. The lessons from kAI extend to various industries reliant on structured data, highlighting the potential economic impact AI can have by improving decision-making processes in high-stakes environments.
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