Building MIWA: Using Gen AI and Cloud data, turning Research and Information into Global Insight

As the digital world becomes increasingly crowded, one pattern has become hard to ignore that we are generating more information than we can meaningfully use.

Today, over 90% of the world’s data is unstructured, and studies repeatedly show that 50–60% of data stored in the cloud is never analyzed or even accessed often referred to as dark data. Global cloud storage continues to expand at an exponential pace, yet relevance, context, and insight are becoming scarcer.

This growing gap between information abundance and usable knowledge is where the story of MIWA truly begins.

Over the past eight months, MIWA was intentionally shaped around a single idea, data-backed, research-driven content will define the next phase of knowledge creation. Instead of adding to the noise, the focus was on depth, evidence, and application, resulting in 50+ blogs and 40+ newsletters grounded in research across STEM education, innovation, arts, economic modelling of emerging markets, automobiles, business optimization, AI, and marketing. Each piece aimed to translate complex datasets, studies, and analytical frameworks into insights that practitioners, researchers, and decision-makers could actually use.

This philosophy resonated. In the last 120 days, MIWA recorded 401 page views, 271 sessions, and 194 unique visitors from 25+ countries, demonstrating that relevant, well-researched content travels organically across borders. The momentum led to an international publisher purchasing the book “Mix it with the Arts”, and helped secure two long-term clients, converting research credibility into sustained trust. As data volumes continue to grow faster than our ability to interpret them, the demand for credible, analytically grounded, and context-rich content will only accelerate, positioning MIWA to grow alongside this critical need.