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...

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 th...

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...

This episode focuses on debunking pervasive myths surrounding modern data practices, specifically in data architecture, data analytics, and database management. The data architecture sources, from Bernd Wessely, challenge ten common fallacies, arguing against centralised data platforms and the idea of a single source of truth, while advocating for Domain-Driven Design and distributed data concepts like the data mesh. A separate source from Profisee addresses seven fallacies in data analytics,...

The source, an article titled "The Silent Revolution - A Spotlight on Data Modelling" from datapro.news, investigates how Artificial Intelligence (AI) is profoundly transforming data engineering and architecture. The text explains that AI is making the traditional three-tier data modelling approach—conceptual, logical, and physical—obsolete through hyper-automation, significantly compressing project timelines, such as reducing the conceptual modelling phase from weeks to hours via the "Text-t...

In This Episode we have a detailed examination of the privacy and security risks associated with modern robot vacuum cleaners, noting that these smart devices gather sensitive data, including detailed home maps and images, through their advanced sensors and cameras. Both texts highlight specific incidents of data leaks, such as the non-commercial photos captured by iRobot Roombas that were later shared on social media, illustrating how private information can be exposed. Furthermore, the arti...

This episode provides a critical analysis of Anthropic’s Claude 4.5 release, arguing that it represents a fundamental transformation in enterprise data management, moving large language models beyond simple co-pilots into autonomous agents. Key features highlighted include the model's unprecedented ability to autonomously generate complex software and manage intricate, long-running data workflows, achieving high success rates in agentic coding benchmarks. However, the analysis also addresses ...

This episode looks at excerpts from a 2011 academic paper titled "The costs of poor data quality" by Haug, Zachariassen, and van Liempd, which investigates the economic consequences of inadequate business data. The authors propose that companies should aim for an optimal data quality level rather than perfection, defining this optimum as the point where the cost of maintenance efforts balances the costs inflicted by poor quality data. To facilitate this assessment, the paper introduces two ma...

The provided source material, primarily an article titled "🤔Anthropic & OpenAI Usage Insights" from "The Data Pro News," analyses the emerging landscape of Artificial Intelligence adoption across consumer and enterprise settings. The article explains that whilst consumer AI, such as OpenAI's ChatGPT, shows a democratising effect by reducing usage disparities, enterprise adoption is strikingly different, with 77% of deployments following automation patterns that concentrate competitive adv...

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 publi...

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 provin...

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 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

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 m...

DSharp are a world leader when it comes to no-code data warehousing - so where do you go when you're already seen as world leaders in the field? You build an assistant... 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

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...

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 MIT 95% AI Enterprise Failure Rate Report: True or False?" discusses the high failure rate of generative AI pilot projects in businesses, claiming 95% do not reach production with measurable impact. The report, titled "The GenAI Divide: State of AI in Business 2025," scrutinises the methodologies and findings of this controversial MIT study, which involved a multi-method research design including interviews and surveys. It highlights key reasons for these failures, such as messy workflow...

In this week's conversation Sam continues his dialogue with DeepWeaverAI's Simon Kaye - this time talking about the guardrail of Human Oversight - and how to avoid the bottleneck when AI becomes so fast and efficient that people feel human oversight may no longer be needed. 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 fr...

It's not always easy to plan for unintended consequences - what with them being unintended and all, but it's an important guardrail for us to put up with AI, according to Simon Kaye from DeepWeaver 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 https://www.datapro.news/subscribe