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...
🏇🏽 AI Data Pipeline Race: Snowflake, Databricks, Cosmos DB
The Data Radio Show - Bought to you by the Data Innovators Exchange
15 minutes
1 month ago
🏇🏽 AI Data Pipeline Race: Snowflake, Databricks, Cosmos DB
The source is an in-depth investigation from datapro.news, dated September 17, 2025, concerning the fierce competition among Snowflake, Databricks, and Microsoft Cosmos DB to dominate the market for AI-powered data pipelines. The article outlines three distinct philosophical approaches: Snowflake’s "ZeroOps" for democratised, SQL-centric simplicity; Databricks’ "Open Lakehouse AI" for comprehensive machine learning control; and Cosmos DB’s "Operational Excellence" for high-performance, real-t...
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...
