Introduction: In 2018, an AI-driven hiring tool discriminated against women due to unreliable training data, showcasing the dire consequences of flawed data systems. Studies reveal that 85% of AI projects fail due to poor data quality, resulting in issues like biased algorithms, flawed medical diagnoses, and inefficiencies in finance. Imagine a world where misdiagnoses are a thing of the past. AR.IO changes the narrative by offering permanent, tamper-proof storage that ensures data reliabilit...

Introduction: In 2018, an AI-driven hiring tool discriminated against women due to unreliable training data, showcasing the dire consequences of flawed data systems. Studies reveal that 85% of AI projects fail due to poor data quality, resulting in issues like biased algorithms, flawed medical diagnoses, and inefficiencies in finance. Imagine a world where misdiagnoses are a thing of the past. AR.IO changes the narrative by offering permanent, tamper-proof storage that ensures data reliabilit...