🤖 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
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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
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13:46
📉 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
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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
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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
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