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The Data Radio Show - Bought to you by the Data Innovators Exchange
Paul Barlow
215 episodes
4 days ago
This Week's article from datapro.news analyses the pervasive and high failure rates plaguing all types of enterprise data projects, including basic analytics and advanced AI implementations. It identifies three primary systemic issues causing these failures: the Hype Trap (lack of defined business problems), the Foundation Fallacy (neglecting data quality), and the Adoption Abyss (insights not being used in decision-making). To address these problems, the article introduces the RAPPID Va...
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This Week's article from datapro.news analyses the pervasive and high failure rates plaguing all types of enterprise data projects, including basic analytics and advanced AI implementations. It identifies three primary systemic issues causing these failures: the Hype Trap (lack of defined business problems), the Foundation Fallacy (neglecting data quality), and the Adoption Abyss (insights not being used in decision-making). To address these problems, the article introduces the RAPPID Va...
Show more...
Technology
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AI Fundamentals: Part 7 - Accountability and Conformity
The Data Radio Show - Bought to you by the Data Innovators Exchange
13 minutes
2 months ago
AI Fundamentals: Part 7 - Accountability and Conformity
In the final part of our series with Simon Kaye from DeepWeaverAI, we look at two guardrails - the need for accountability and the need for conformity in systems - and why the two are both equally as important to ensure the successful use of AI. And to learn more about our upcoming Sydney Meet up - https://www.addevent.com/event/FS26379654 Join the Data Innovators Exchange for free at https://www.skool.com/data-management-innovators-4116/about Sign up for the free Data Pro Newsletter at htt...
The Data Radio Show - Bought to you by the Data Innovators Exchange
This Week's article from datapro.news analyses the pervasive and high failure rates plaguing all types of enterprise data projects, including basic analytics and advanced AI implementations. It identifies three primary systemic issues causing these failures: the Hype Trap (lack of defined business problems), the Foundation Fallacy (neglecting data quality), and the Adoption Abyss (insights not being used in decision-making). To address these problems, the article introduces the RAPPID Va...