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

Paul Barlow
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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

  1. 🤖 Large Behavior Models: Rewiring Data Engineering

    8 小時前

    🤖 Large Behavior Models: Rewiring Data Engineering

    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 streams originating from various sensors and human teleoperation. This necessitates new engineering workflows focused on low-latency ingestion, complex temporal and spatial data transformation, and advanced behavioural data curation. Finally, it addresses the critical ethical and technical risks associated with LBMs, such as bias-induced physical harm, bodily privacy concerns, and economic concentration, offering strategic recommendations for data engineers to adapt and lead in this evolving field. 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

    19 分鐘
  2. AI Fundamentals: Part 7 - Accountability and Conformity

    4 天前

    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 https://www.datapro.news/subscribe

    14 分鐘
  3. 📉 The GenAI Divide: Enterprise AI Success and Failure

    9月6日

    📉 The GenAI Divide: Enterprise AI Success and Failure

    "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 workflows, the "verification tax" on employees, and a lack of governance and strategic planning. Conversely, the article also identifies strategies employed by the successful 5%, which include a workflow-first methodology, investment in foundational data infrastructure, and systems thinking over isolated experimentation. Ultimately, the piece asserts that the high failure rate is not a condemnation of AI technology itself, but rather an indictment of flawed enterprise adoption strategies that neglect fundamental data engineering principles. It concludes by offering strategic recommendations for data engineering teams to increase their success rates. 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

    17 分鐘
  4. AI Fundamentals: Part 5 - Human Oversight

    9月4日

    AI Fundamentals: Part 5 - Human Oversight

    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 free Data Pro Newsletter at https://www.datapro.news/subscribe

    9 分鐘
  5. AI Fundamentals: Part 6 - Managing Unintended Consequences

    9月4日

    AI Fundamentals: Part 6 - Managing Unintended Consequences

    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

    10 分鐘
  6. 📐 Katherine Johnson: Mathematical Pioneer's Journey

    9月1日

    📐 Katherine Johnson: Mathematical Pioneer's Journey

    Learn more about the remarkable life and career of Katherine Johnson, highlighting her journey as a mathematical pioneer. It explains how her extraordinary aptitude for numbers was evident from a young age, leading her to attend high school and college significantly earlier than her peers, despite the challenges of segregation in America. The source emphasises the pivotal role of mentorship, particularly from W. W. Schieffelin Claytor, who crafted specialised mathematics courses for her that proved crucial for her later work. It further describes her transition to NASA (then NACA), where her advanced mathematical abilities were indispensable as a "human computer," and how her persistence and self-driven learning enabled her to overcome barriers and contribute significantly to space exploration. 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

    15 分鐘
  7. 🚨 Australia's AI Governance: Voluntary Compliance as Mandatory Blueprint

    8月30日

    🚨 Australia's AI Governance: Voluntary Compliance as Mandatory Blueprint

    In this week's Datapro Newsletter, we discuss Australia's "Voluntary AI Safety Standard", highlighting that its seemingly optional nature is a "regulatory mirage". The text from "AI Governance Reality Check" explains how these voluntary guidelines, particularly the ten guardrails, are a precursor to mandatory compliance for AI development and deployment, especially for high-risk applications. It outlines the technical implications for engineering managers, stressing the importance of proactive implementation of measures like risk management, data governance, and record-keeping. The "Data Pro newsletter" appears to be the publication where this critical analysis is shared, emphasising the shift towards AI governance as a legal requirement. 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

    15 分鐘
  8. AI Fundamentals Part Four - Security and Data Privacy

    8月28日

    AI Fundamentals Part Four - Security and Data Privacy

    When we live in a world where we are creating more data than ever before in our daily lives, security and privacy are key concerns for both the end users of a systems and those working with it. So how do you ensure those principles are baked into an LLM for an AI to use? That's the discussion in this part of our ongoing series between Sam and Simon from Deepweaver AI. 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

    7 分鐘
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簡介

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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