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<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:wfw="http://wellformedweb.org/CommentAPI/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:slash="http://purl.org/rss/1.0/modules/slash/" version="2.0"><channel><title>George Lawton – diginomica</title><atom:link href="https://diginomica.com/author/george-lawton/feed" rel="self" type="application/rss+xml"/><link>https://diginomica.com</link><description>business insights for the enterprise undergoing digital transformation</description><language>en-US</language><lastBuildDate>Sun, 26 Apr 2026 09:21:08 -0700</lastBuildDate><sy:updatePeriod>hourly</sy:updatePeriod><sy:updateFrequency>1</sy:updateFrequency><item><title><![CDATA[Something for the weekend - introducing 'speechos'. What I learned dictating 203,000 words in 44 days]]></title><link>https://diginomica.com/something-weekend-introducing-speechos-what-i-learned-dictating-203000-words-44-days</link><description>Over 44 days of dictating, I produced more than 203,000 words and almost no finished work. What I did produce was a new vocabulary: 'speechos', outpourings, and a felt sense of what the next interface with AI might actually be.
</description><pubDate>Fri, 24 Apr 2026 07:00:01 -0700</pubDate><dc:creator><![CDATA[George Lawton]]></dc:creator><category><![CDATA[Ethics]]></category><category><![CDATA[Generative AI and LLMs]]></category><guid isPermaLink="false">30393 at https://diginomica.com</guid></item><item><title><![CDATA[Bull speed ahead! Can France re-build AI sovereignty with Bull acquisition? ]]></title><link>https://diginomica.com/bull-speed-ahead-can-france-re-build-ai-sovereignty-bull-acquisition</link><description>The French Government has recently acquired all of the shares of Bull in the hopes of rebuilding a sovereign AI stack from the ground up. Bull CEO Emmanuel Le Roux explains why this time might be different from the last time this occurred and how he hopes to inspire European leadership to shape the future of AI</description><pubDate>Fri, 24 Apr 2026 02:00:01 -0700</pubDate><dc:creator><![CDATA[George Lawton]]></dc:creator><category><![CDATA[Enterprise AI]]></category><category><![CDATA[Consulting]]></category><category><![CDATA[Cloud platforms - infrastructure and architecture]]></category><category><![CDATA[Government]]></category><guid isPermaLink="false">30392 at https://diginomica.com</guid></item><item><title><![CDATA[Here's a thing - what if shadow AI is actually telling us something useful?]]></title><link>https://diginomica.com/heres-thing-what-if-shadow-ai-actually-telling-us-something-useful</link><description>AvePoint’s Dana Louise Simberkoff argues that shadow AI could be viewed as a cultural stress test rather than a technology failure.
</description><pubDate>Tue, 31 Mar 2026 01:00:01 -0700</pubDate><dc:creator><![CDATA[George Lawton]]></dc:creator><category><![CDATA[Enterprise AI]]></category><category><![CDATA[Ethics]]></category><category><![CDATA[Generative AI and LLMs]]></category><guid isPermaLink="false">30270 at https://diginomica.com</guid></item><item><title><![CDATA[Why the boundary problem is the biggest challenge in agentic AI]]></title><link>https://diginomica.com/why-boundary-problem-biggest-challenge-agentic-ai</link><description>AI rockstar Andrej Karpathy has launched a self-learning agent that shines a light on the boundary problem. Unremarkable at first read, but a deeper analysis shines a light on the biggest challenges and even bigger opportunities in agentic AI.
</description><pubDate>Fri, 27 Mar 2026 02:00:01 -0700</pubDate><dc:creator><![CDATA[George Lawton]]></dc:creator><category><![CDATA[Enterprise AI]]></category><category><![CDATA[Agentic AI]]></category><category><![CDATA[Data management]]></category><category><![CDATA[Generative AI and LLMs]]></category><guid isPermaLink="false">30250 at https://diginomica.com</guid></item><item><title><![CDATA[Why Karl Friston is betting on cultivating curiosity for sustainable AGI]]></title><link>https://diginomica.com/why-karl-friston-betting-cultivating-curiosity-sustainable-agi</link><description>The ARC-AGI-3 challenge launches today as the first interactive reasoning benchmark which stumps current frontier LLMs. Karl Friston, one of the most cited neuroscientists alive and Chief Scientist at VERSES AI, argues that his active inference framework can compete where LLMs fail because it does something they structurally cannot: encode uncertainty and be curious. The questions Friston is asking may outlast the answers Big AI is selling.
</description><pubDate>Thu, 26 Mar 2026 03:00:01 -0700</pubDate><dc:creator><![CDATA[George Lawton]]></dc:creator><category><![CDATA[Enterprise AI]]></category><category><![CDATA[Ethics]]></category><category><![CDATA[Regulation]]></category><category><![CDATA[Generative AI and LLMs]]></category><guid isPermaLink="false">30245 at https://diginomica.com</guid></item><item><title><![CDATA[Why data curation skills are essential for agentic migrations - an Informatica use case makes the point ]]></title><link>https://diginomica.com/why-data-curation-skills-are-essential-agentic-migrations-informatica-use-case-makes-point</link><description>Salesforce recently completed an ambitious plan to migrate the Informatica Help system to the Salesforce AgentForce experience in 24 days ahead of its 30-day ambition. Salesforce VP of Data Science Irina Malkova walks through the essential role that human curiosity and experimentation played in making this ambitious project go smoothly.
</description><pubDate>Tue, 24 Mar 2026 06:59:44 -0700</pubDate><dc:creator><![CDATA[George Lawton]]></dc:creator><category><![CDATA[Agentic AI]]></category><category><![CDATA[Audio]]></category><guid isPermaLink="false">30233 at https://diginomica.com</guid></item><item><title><![CDATA[ How Bayesian-inspired uncertainty management could shape the future of trustworthy AI -]]></title><link>https://diginomica.com/how-bayesian-inspired-uncertainty-management-could-shape-future-trustworthy-ai</link><description>Concr CEO Irina Babina and CTO Matthew Griffiths unpack how Bayesian foundation models can excel at uncertainty management to build trust in medical AI digital twins. Their insight has important implications for user experience design that augments rather than replaces human context and expertise. </description><pubDate>Fri, 13 Mar 2026 03:50:00 -0700</pubDate><dc:creator><![CDATA[George Lawton]]></dc:creator><category><![CDATA[Generative AI and LLMs]]></category><category><![CDATA[DevOps NoSQL and the open source stack]]></category><category><![CDATA[Audio]]></category><guid isPermaLink="false">30192 at https://diginomica.com</guid></item><item><title><![CDATA[Smaller, more sustainable data centers might be more practical. Here's why]]></title><link>https://diginomica.com/smaller-more-sustainable-data-centers-might-be-more-practical-heres-why</link><description>Qoob CEO AJ Javan argues that building data centers for AI inference and fine-tuning might be a more practical opportunity than building bigger. These could be smaller, more distributed, and more sustainable. 
</description><pubDate>Fri, 06 Mar 2026 01:56:56 -0800</pubDate><dc:creator><![CDATA[George Lawton]]></dc:creator><category><![CDATA[Ethics]]></category><category><![CDATA[Cloud platforms - infrastructure and architecture]]></category><category><![CDATA[Infrastructure]]></category><category><![CDATA[Sustainability]]></category><category><![CDATA[Audio]]></category><guid isPermaLink="false">30155 at https://diginomica.com</guid></item><item><title><![CDATA[Why it might be helpful to think of AI as a trance, for better and worse]]></title><link>https://diginomica.com/why-it-might-be-helpful-think-ai-trance-better-and-worse</link><description>AI is often framed as a technology or meme that inflates aspiration into valuation. Both can be useful, but miss something important unfolding in the world right now. Something that could be better informed by an individual and collective felt sense of various lenses into AI as a trance.
</description><pubDate>Thu, 05 Mar 2026 01:43:00 -0800</pubDate><dc:creator><![CDATA[George Lawton]]></dc:creator><category><![CDATA[Generative AI and LLMs]]></category><category><![CDATA[Ethics]]></category><category><![CDATA[Audio]]></category><guid isPermaLink="false">30142 at https://diginomica.com</guid></item><item><title><![CDATA[Electrical grids become the biggest AI bottleneck. Here's why - and what might be done about the problem]]></title><link>https://diginomica.com/electrical-grids-become-biggest-ai-bottleneck-heres-why-and-what-might-be-done-about-problem</link><description>AI chips, models, and data are generally seen as the limiting factors for AI growth. But Caspar Herzberg, CEO at Aveva, argues that electrical grids are emerging as the binding constraint to scaling AI.
</description><pubDate>Wed, 25 Feb 2026 03:00:01 -0800</pubDate><dc:creator><![CDATA[George Lawton]]></dc:creator><category><![CDATA[Enterprise AI]]></category><category><![CDATA[Generative AI and LLMs]]></category><category><![CDATA[IoT and digital twins]]></category><category><![CDATA[Infrastructure]]></category><guid isPermaLink="false">30092 at https://diginomica.com</guid></item></channel></rss>
