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AI’s Achilles’ Heel: The Data Quality Dilemma - Data Intelligence
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4 Articles
Global Security Mag Online
Global Security Mag OnlineData silos are among the biggest growth barriers of data-driven organizations – not for technical reasons, but above all for structural reasons. If information persists in individual applications, departments or systems without interfaces, no value arises, but standstill. For IT decision-makers, silos are not only a question of infrastructure, but a direct risk for strategic implementation, innovation capability and operational efficiency. Becau…
AI’s Achilles’ Heel: The Data Quality Dilemma - Data Intelligence
As AI has gained prominence, all the data quality issues we’ve faced historically are still relevant. However, there are additional complexities faced when dealing with the nontraditional data that AI often makes use of. AI Data Has Different Quality Needs When AI makes use of traditional structured data, all the same data cleansing processes and protocols that have been developed over the years can be used as-is. To the extent an organization a…
AI's Achilles' Heel: The Data Quality Dilemma
As AI has gained prominence, all the data quality issues we’ve faced historically are still relevant. However, there are additional complexities faced when dealing with the nontraditional data that AI often makes use of. AI Data Has Different Quality Needs When AI makes use of traditional structured data, all the same data cleansing processes and protocols that have been developed over the years can be used as-is. To the extent an organization a…
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