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...
🤖 Large Behavior Models: Rewiring Data Engineering
The Data Radio Show - Bought to you by the Data Innovators Exchange
18 minutes
1 month ago
🤖 Large Behavior Models: Rewiring Data Engineering
From datapro.news titled "How Large Behaviour Models Are Rewriting Data Engineering Pipelines," explores the transformative impact of Large Behaviour Models (LBMs) on data engineering practices. It highlights a significant shift from language-based AI to embodied, action-oriented intelligence, where machines learn from real-world behaviour and physical interactions. The article explains how traditional batch-oriented data pipelines are becoming obsolete, replaced by real-time, continuous data...
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...