When data collection doesn’t represent the real world, ML systems fail. Facial recognition technology has been criticised for performing poorly on people with darker skin tones because the training datasets had far fewer images of diverse individuals. The consequences of bad data quality and consistency, can be anything from annoying inefficiencies - to dangerous misjudgments. (Screenshot from Avant's Data Visualisation Interface" - Even basic infrastructure data can become c

Remote and under-resourced areas face daily challenges that limit economic growth and opportunities. Farming struggles with unpredictable weather, financial services are often out of reach, job options are limited, and small businesses face difficulties accessing markets. Improved Financial Access Accessing loans or banking services can be difficult in remote areas where formal banks are unavailable. AI platforms offer solutions by evaluating creditworthiness using non-tradit