We look into an article titled "Surviving the AI Bubble: Your Need to Knows for 2026" from datapro.news, provides a critical analysis of the current state of enterprise AI adoption, noting that the vast majority of companies are seeing near-zero measurable return on investment despite significant spending. The author argues that this failure is due to a systemic "Architectural Debt" rooted in obsolete data infrastructure, not a lack of AI capability. To survive the impending market realignment, the text recommends that data professionals must pivot from batch-based systems to real-time streaming architectures and "AI Factory Models," prioritising robust data governance and lineage tracking. Furthermore, it advocates for an SLM-first (Small Language Model) strategy to address the high costs of Large Language Models and stresses that compliance, driven by regulations like the EU AI Act, must become an inherent architectural requirement rather than an afterthought. 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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19:41
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19:41
🤖 Cutting Through the Hyperbole and Hype of Gen AI
We take a multi-faceted overview of the current state and impact of generative artificial intelligence across society and industry. One source offers a first-person account of exploitative labour practices faced by the "gig workers" responsible for training AI models, arguing that the threat is less the technology itself and more the billionaires who control it. Supporting this notion, two Pew Research Center reports detail how AI is altering public interaction, showing that Google users are less likely to click on source links when presented with an AI summary, and that Americans generally react negatively to the discovery of AI involvement in creative or professional tasks like political speeches and news articles. Finally, a business analysis highlights that the majority of generative AI pilot programs fail to deliver measurable business value, citing case studies of failures in legal tech, retail chatbots, and logistics that stem primarily from poor strategy, inadequate governance, and unrealistic expectations rather than technical flaws. 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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17:56
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17:56
📉 Three Reasons Data Projects Fail and the RAPPID Response
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 Value Lifecycle, a methodology focused on ensuring measurable commercial value from data investments. RAPPID mandates a business-first approach requiring clear value definition before execution and incorporates frameworks to ensure Data Trust and guarantee that insights are Embedded into daily workflows. 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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15:56
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15:56
Are AI Commercials Coming to Steal Christmas?
This week we look at the significant backlash and technical inconsistencies surrounding Coca-Cola’s 2025 AI-generated "Holidays are Coming" Christmas advertisement, the second fully AI commercial the company has released. Viewers and critics pointed out glitches like inconsistent truck shapes and wheel counts in the video, highlighting the current shortcomings of generative video technology, though the latest ad was noted as an improvement over the previous year. Despite the critiques from the creative industry—who fear job losses—Coca-Cola executives defended the decision, citing increased speed, lower cost, and efficiency as key benefits, while claiming that the average consumer enjoyed the ads. The company and the AI studio, Secret Level, maintained that human creativity is still essential, even as the process required fewer human artists and involved generating over 70,000 video clips. Ultimately, the controversy underscores the ongoing debate within the creative and advertising industries about the ethics and quality of fully generative AI content. 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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14:25
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14:25
📉 AI Adoption Failures and Value Realization Strategies
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 friction points: Leadership Misalignment (treating AI as a technical rather than a business transformation challenge), Organisational Conflicts (internal resistance and sabotage), and increasing Compliance and Regulatory Complexity, particularly around "Sovereign AI demands." The author advises data management professionals to shift from deploying horizontal tools to domain-specific Vertical AI Agents and to prioritise governance, architectural foresight, and rigorous value measurement to bridge the gap between deployment and tangible business outcomes. 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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Join us weekly as we sit down and chat about the Data revolution and how to get involved with it, whether you're a seasoned pro at the forefront of change or someone new to the field.We interview industry insiders, people in the field and experts across the world to bring you the latest advice, trends and changes to the field.With dedicated content made for Data Professionals, at any level of expertise, you can keep abreast of the fast paced changing world of Data Management right here. Join us in our Dedicated Skool Community and join the conversations at https://www.skool.com/data-management-innovators-4116/aboutand make sure you sign up for the Data Pro Newsletter right here: https://www.datapro.news/subscribe
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