"According to Gartner, poor data quality costs organizations an average of $12.9 million per year, which totals approximately $3.1 trillion to the US economy."
"Most errors in data integrity arise from internal, unintentional causes, such as mistakes in collection, inconsistencies in formatting, and human error, rather than malware."
"AI models necessitate vast amounts of data input, and if this information is flawed, the output will also be inherently flawed—hence the crucial nature of data verification."
"Horizen 2.0 is designed to address ZK technology challenges with seamless proof verification and robust security, ultimately ensuring cost-effective data integrity solutions."
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