The Data Radio Show - Bought to you by the Data Innovators Exchange
Paul Barlow
213 episodes
1 day ago
Thsi week we look at an article from datapro.news titled "🤔 AI Adoption Failures: What you can do to succeed?" by Samuel Williams, dated October 22, 2025, which discusses the paradox of enterprise AI adoption. It highlights that despite record investment and widespread deployment, nearly eight in ten enterprises are failing to realise significant financial value from their AI initiatives. The investigation attributes this failure not to technological limitations, but to three critical frictio...
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Thsi week we look at an article from datapro.news titled "🤔 AI Adoption Failures: What you can do to succeed?" by Samuel Williams, dated October 22, 2025, which discusses the paradox of enterprise AI adoption. It highlights that despite record investment and widespread deployment, nearly eight in ten enterprises are failing to realise significant financial value from their AI initiatives. The investigation attributes this failure not to technological limitations, but to three critical frictio...
The Data Radio Show - Bought to you by the Data Innovators Exchange
20 minutes
2 weeks ago
📉 The Costs of Poor Data Quality
This episode looks at excerpts from a 2011 academic paper titled "The costs of poor data quality" by Haug, Zachariassen, and van Liempd, which investigates the economic consequences of inadequate business data. The authors propose that companies should aim for an optimal data quality level rather than perfection, defining this optimum as the point where the cost of maintenance efforts balances the costs inflicted by poor quality data. To facilitate this assessment, the paper introduces two ma...
The Data Radio Show - Bought to you by the Data Innovators Exchange
Thsi week we look at an article from datapro.news titled "🤔 AI Adoption Failures: What you can do to succeed?" by Samuel Williams, dated October 22, 2025, which discusses the paradox of enterprise AI adoption. It highlights that despite record investment and widespread deployment, nearly eight in ten enterprises are failing to realise significant financial value from their AI initiatives. The investigation attributes this failure not to technological limitations, but to three critical frictio...
