The Data Radio Show - Bought to you by the Data Innovators Exchange

• 🤖 AI Scammers Hijack Business Identity

  This episode outlines the struggle of a jeweller, Deanna Newman, whose legitimate business, C'est la vie Jewellery, was targeted by AI scammers who copied her business name to defraud customers. Operating out of China but claiming to be a Birmingham-based entity, the scam damaged Ms. Newman's reputation as customers mistook her genuine products for low-quality, mass-shipped items sold by the fraudsters. Ms. Newman faced continuous aggressive complaints and refund demands, forcing her to publicly clarify her separation from the scam and even leading customers to offer her sympathy based on the scam's fake narrative about a deceased husband. Despite the emotional distress and a drop in sales due to customer mistrust, Ms. Newman has refused to change her business name, instead undertaking significant effort to redesign her website to distinguish her brand. The article notes this type of identity theft is increasingly common, with AI tools enabling fraudsters to mislead the public on an unprecedented scale. 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 https://www.datapro.news/subscribe

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• ⚠️ GPT-5 Enterprise Reality Check: Costs and Complexity

  This edition of the Data Pro News provides an extensive enterprise reality check on the deployment of GPT-5, two months after its release, noting a growing gap between its initial promise and production reality. It explains that while the model offers impressive capabilities, key challenges remain, including spiralling infrastructure costs due to massive memory and compute requirements for its large context window. The article highlights that cost management for token usage at scale is proving prohibitive for many organisations, often leading to six-figure monthly expenditures. Furthermore, the reliance on Retrieval-Augmented Generation (RAG) persists, as using the full context window is neither cost-effective nor performant, meaning successful adoption requires robust engineering practices and hybrid architectures rather than simply integrating the new model. The text concludes that future enterprise AI success will depend less on access to advanced models and more on the engineering capability to deploy and operate them efficiently. 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 https://www.datapro.news/subscribe

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• 🏇🏽 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-time applications within the Azure ecosystem. The analysis assesses each platform's strengths and weaknesses across developer experience, pipeline automation features like Openflow and Lakeflow, and critical challenges such as cost unpredictability and the need for specialised skills. Ultimately, the verdict is that there is no single winner, as the best platform depends entirely on an organisation's specific needs, driving a broader trend towards unified, cohesive data platforms. 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 https://www.datapro.news/subscribe

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• Sydney Presentation: The Right To Be Forgotten with James Hartwright

  The Right to be Forgotten is something a number of places are grappling with - and James Harwright from Pragmaticians is Australasia's leading voice on the topic.  Check out his recent presentation at our Sydney DXE Meet Up.Bought to you by Deep Weaver and IBM 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 https://www.datapro.news/subscribe

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• 🚨 EU AI Act: Enforcement Begins, Data Pipeline Compliance Critical

  The provided article from datapro.news announces a significant shift in the global artificial intelligence landscape, triggered by the EU AI Act's enforcement regime activating on 2nd August 2025. This legislation is no longer theoretical, establishing legally binding obligations for General-Purpose AI (GPAI) models and creating a pan-European regulatory machine to ensure compliance. Organisations face substantial financial penalties for non-compliance, with the Act's extraterritorial reach meaning global companies must adhere if their AI systems are used in the EU. The article details technical requirements impacting data pipelines, such as robust documentation, data provenance, and copyright adherence, emphasising that compliance-by-design is now a core engineering necessity for sustainable AI development. 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 https://www.datapro.news/subscribe

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