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  </channel><item rdf:about="https://www.mckinsey.com/mhi/our-insights/the-human-advantage-in-an-ai-economy">
    <title>www.mckinsey.com</title>
    <dc:date>2026-07-27T05:29:33+00:00</dc:date>
    <link>https://www.mckinsey.com/mhi/our-insights/the-human-advantage-in-an-ai-economy</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[The human advantage in an AI economy Discover how brain capital, brain health, and cognitive skills create competitive advantage in AI transformation while managing employee burnout. "Brain health matters. We need that strong foundation to be able to learn new skills. You can’t cultivate skills that are becoming increasingly important with the rise of AI on a foundation of burnout or cognitive overload. You need both together.

The more society changes, the more important brain capital will become as a competitive advantage and as something worth investing in. We found that by recognizing brain capital as an asset that matters at an organizational and a societal level, we can start to make a difference. It gives us a way to think about both sides of the equation: how we protect and strengthen brain health while we develop the skills people need to thrive in a changing world."]]></description>
<dc:subject>our insights mckinsey health institute geopolitics performance transformation personal effectiveness the podcast</dc:subject>
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    <title>Get ready for US open LLMs and just in time | Constellation Research</title>
    <dc:date>2026-07-27T05:29:26+00:00</dc:date>
    <link>https://www.constellationr.com/insights/news/get-ready-us-open-llms-and-just-time</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Get ready for US open LLMs and just in time - by @ldignan Award-winning, Silicon Valley-based research and advisory firm focused on helping early adopters harness the transformative power of exponential technology. "While advances in Chinese AI have executives from Anthropic and OpenAI spooked and pushing ways to restrict open source models, the reality is that US versions of open LLMs are likely to surge too. Enterprises will be pleased either way since you can't have a model duopoly. Just because OpenAI and Anthropic have $1 trillion private valuations doesn't mean you have to pay for it. "]]></description>
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    <title>Nvidia, Microsoft, Meta warn against overregulating open-weight models</title>
    <dc:date>2026-07-27T05:28:18+00:00</dc:date>
    <link>https://www.cnbc.com/2026/07/24/nvidia-microsoft-meta-open-weight-ai-models.html</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA["Nvidia, Microsoft, Meta, Palantir and more than 20 other companies released a letter Friday urging policymakers to avoid “premature restrictions” on open-weight artificial intelligence models that would “stifle competition or drive innovation overseas.”

Open-weight AI models are available for users to download, modify and run on their own infrastructure, and they have been the subject of fierce debate within the tech sector in recent weeks.

Chinese open-weight models are gaining steam against leading offerings from American companies like OpenAI and Anthropic, which primarily develop proprietary, closed models. Officials and executives have been weighing whether or not to restrict access to Chinese models in the U.S."]]></description>
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    <title>It Changed What the Smartest Model Can Charge – And Vijay Says…</title>
    <dc:date>2026-07-27T05:24:13+00:00</dc:date>
    <link>https://andvijaysays.com/2026/07/17/it-changed-what-the-smartest-model-can-charge/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[It Changed What the Smartest Model Can Charge - by @vijayasankarv  "Imagine an enterprise generating 40 billion tokens every month by running hundreds of autonomous agents across software engineering, legal review, financial analysis, or customer operations.

The numbers become difficult to ignore:

    Renting proprietary APIs: Approximately $720,000 per month.
    Owning the infrastructure: A fixed $120,000 per month.

The savings have nothing to do with intelligence. They come from changing the economic model. You stop paying a variable tax on consumption and start utilizing a fixed asset."]]></description>
<dc:subject>uncategorized</dc:subject>
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    <title>Vercel Security Checkpoint</title>
    <dc:date>2026-07-27T00:59:43+00:00</dc:date>
    <link>https://venturebeat.com/security/openai-anthropic-google-and-xai-models-all-broke-under-multi-turn-attack-up-to-88-of-the-time</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Multi-turn AI attacks break models 88% of time - by @louiscolumbus  "VentureBeat's June 2026 Pulse survey of 107 enterprise respondents explains why the room was full. More than half, 54%, have already had a confirmed agent security incident (18%) or a near-miss caught before harm (36%). Just 32% give every agent its own scoped, managed identity, and fewer still, 30%, isolate their highest-risk agents in sandboxes. Provider-native and hyperscaler controls remain the primary agent security layer at 82% of companies surveyed. The world's largest security vendors have done the same math."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:62beeeaf4d8e/</dc:identifier>
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<item rdf:about="http://blog.aheadcrm.co.nz/2026/07/fewer-graveyards-please-legacy-ai-and.html">
    <title>Fewer Graveyards, Please: Legacy, AI, and the Debt You Cannot See</title>
    <dc:date>2026-07-27T00:59:42+00:00</dc:date>
    <link>http://blog.aheadcrm.co.nz/2026/07/fewer-graveyards-please-legacy-ai-and.html</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Fewer Graveyards, Please: Legacy, AI, and the Debt You Cannot See - by @twieberneit CRM, social CRM, CX, digital disruption, customer experience, customer engagement, customer service, IoT, AI, MachineLearning, bots, chatbots, AI, gen "Make explainability and determinism contractual, not aspirational. For regulated CX, the probabilistic parts belong at the task level, boxed in and checked, while the process and governance stay deterministic and auditable. Insist on visual, explainable models. If your vendor cannot show a regulator how a decision was reached, understand that you own that risk, not them. "The AI decided" is not a defense you want to offer an auditor."]]></description>
<dc:subject>ai crmkonvos customer experience strategy</dc:subject>
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    <title>Enterprise Month in Revew - what are CIOs getting right - and wrong? With Tim Crawford | Busting the omnichannel - enterprise hacks and chats</title>
    <dc:date>2026-07-26T09:04:21+00:00</dc:date>
    <link>https://jonerp.podbean.com/e/enterprise-month-in-revew-what-are-cios-getting-right-and-wrong-with-tim-crawford/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Enterprise Month in Revew - what are CIOs getting right - and wrong? With Tim Crawford Enterprise Month in Revew - what are CIOs getting right - and wrong? With Tim Crawford https://ift.tt/hU2Ggx9 Enterprise Month in Revew - what are CIOs getting right - and wrong? With Tim Crawford

https://ift.tt/hU2Ggx9

Yep, it's that time, the enterprise month in review is upon us. Special guest Tim Crawford will give his strong take on where CIOs are going wrong - and what the best CIOs are getting right. You co-hosts, Brian Sommer and Jon Reed, will have their underrate enterprise stories of the month - and Brian's infamous slide deck will have its share of surprises. As always, the audience is a jugular part of the show so bring you savviest and smartest commentary...

via Busting the omnichannel - enterprise hacks and chats https://ift.tt/RAUM5JG

July 26, 2026 at 04:54AM]]></description>
<dc:subject>IFTTT Busting the omnichannel - enterprise hacks and chats</dc:subject>
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    <title>Analyst Relations gut check - live feedback sessions on AI-created AR solutions | Busting the omnichannel - enterprise hacks and chats</title>
    <dc:date>2026-07-26T08:54:05+00:00</dc:date>
    <link>https://jonerp.podbean.com/e/analyst-relations-gut-check-live-feedback-sessions-on-ai-created-ar-solutions/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Analyst Relations gut check - live feedback sessions on AI-created AR solutions Analyst Relations gut check - live feedback sessions on AI-created AR solutions https://ift.tt/MOq1TiU Analyst Relations gut check - live feedback sessions on AI-created AR solutions

https://ift.tt/MOq1TiU

And now for something completely different! Let's have a live look at Analyst Relations disruptions - via a feedback session on AI-generated content on how AR needs to change. I generated this content from my own research and analysis - but did AI get it right? What went wrong? How can all of us - including analysts - serve customers better when they need an open, year round dialogue like never before? Joining me will be independent analysts Bonnie Tinder and Josh Greenbaum. I'll get their unscripted reactions to this collateral, some of which is quite edgy, but does it reflect our views? Where did AI go wrong, and where can data and analytics help us make changes in our industry? Join us and let's hear your reactions also. Note: you may want to see the visuals for these slides. If so, check the YouTube replay for easy scrolling through the visuals, https://youtube.com/live/nqD9jWEF0UQ. AD FREE CONTENT REVIEW REQUEST - this may be the longest running enterprise podcast and it has never had ads or sponsors, and never will. If you're weary of podcast ads and sponsor announcements, and love the kind of unscripted/unsponsored content as much as I do, consider leaving me a positive review,  it's shocking how much of a difference this makes in bringing in more listeners. Thanks - these podcasts are for the community... always will be.

via Busting the omnichannel - enterprise hacks and chats https://ift.tt/RAUM5JG

July 26, 2026 at 04:45AM]]></description>
<dc:subject>IFTTT Busting the omnichannel - enterprise hacks and chats</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:ef152adf5cfa/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:Busting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:the"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:omnichannel"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:-"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:enterprise"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:hacks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:and"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:chats"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://jonerp.podbean.com/e/enterprise-data-health-reality-check-an-interactive-research-dive/">
    <title>Enterprise data health reality check - an interactive research dive | Busting the omnichannel - enterprise hacks and chats</title>
    <dc:date>2026-07-26T08:44:36+00:00</dc:date>
    <link>https://jonerp.podbean.com/e/enterprise-data-health-reality-check-an-interactive-research-dive/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Enterprise data health reality check - an interactive research dive Enterprise data health reality check - an interactive research dive https://ift.tt/oYCV2Wr Enterprise data health reality check - an interactive research dive

https://ift.tt/oYCV2Wr

We know that enterprise data quality is a problem - and the biggest obstacle to successful AI. But the truth can quickly become a static phrase. What does the data really show? What are the savvy companies doing? How deep does this organizational problem go? Recently, a monster piece of independent research, co-authored by diginomica's Alyx Macqueen and Maureen Blandford for Serendipitus, investigated this problem, and surfaced surprising insights. So let's get Blandford and Macqueen in the proverbial hot seat, and find out about their method, what they learned, and the issues that this research sparked. As always, this is a live, interactive event where your questions and commentary are part of the mix. Maureen and Alyx have prepared their top surprises and fresh views for this program, you won't want to miss this one.

via Busting the omnichannel - enterprise hacks and chats https://ift.tt/RAUM5JG

July 26, 2026 at 04:31AM]]></description>
<dc:subject>IFTTT Busting the omnichannel - enterprise hacks and chats</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:29ef5bda5a9c/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:Busting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:the"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:omnichannel"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:-"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:enterprise"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:hacks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:and"/>
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</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://finance.yahoo.com/markets/stocks/articles/haven-t-stopped-buying-salesforce-154725756.html">
    <title>I Haven’t Stopped Buying Salesforce For This Reason</title>
    <dc:date>2026-07-24T17:04:28+00:00</dc:date>
    <link>https://finance.yahoo.com/markets/stocks/articles/haven-t-stopped-buying-salesforce-154725756.html</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[I Haven’t Stopped Buying Salesforce For This Reason While the market treats Salesforce like a sinking ship, one investor keeps loading up on shares and points to a set of receipts that tells a completely different story.]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:cd7b771d2caf/</dc:identifier>
</item>
<item rdf:about="https://www.marketwatch.com/story/saps-stock-rises-on-strong-revenue-but-analysts-warn-of-guidance-risks-654babc9">
    <title>marketwatch.com</title>
    <dc:date>2026-07-24T17:04:27+00:00</dc:date>
    <link>https://www.marketwatch.com/story/saps-stock-rises-on-strong-revenue-but-analysts-warn-of-guidance-risks-654babc9</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[SAP’s stock rises on strong revenue, but analysts warn of guidance risks The stock has dropped 40% since the start of the year on concerns that artificial intelligence may entirely disrupt the software company’s business model.]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:0c6b3bfb0dfd/</dc:identifier>
</item>
<item rdf:about="https://www.barrons.com/articles/sap-earnings-stock-price-2f599ee2">
    <title>barrons.com</title>
    <dc:date>2026-07-24T16:59:23+00:00</dc:date>
    <link>https://www.barrons.com/articles/sap-earnings-stock-price-2f599ee2</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[SAP Stock Jumps as Earnings Beat Eases AI Fears SAP stock surged Friday as the German tech company shook off concerns about AI denting its software business with a better-than-expected quarterly earnings report.]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:3e29a00f6dcf/</dc:identifier>
</item>
<item rdf:about="https://www.theregister.com/ai-and-ml/2026/07/23/openai-scored-an-own-goal-with-hugging-face-attack-showing-how-open-chinese-models-are-winning/5276699">
    <title>OpenAI scored an own goal with Hugging Face attack, showing how open Chinese models are winning</title>
    <dc:date>2026-07-24T06:34:40+00:00</dc:date>
    <link>https://www.theregister.com/ai-and-ml/2026/07/23/openai-scored-an-own-goal-with-hugging-face-attack-showing-how-open-chinese-models-are-winning/5276699</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[OpenAI scored an own goal with Hugging Face attack, showing how open Chinese models are winning Closed models with guardrails can still cause harm, but may also not be able to fix problems they caused]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:050c5b2973ee/</dc:identifier>
</item>
<item rdf:about="https://www.thestack.technology/openai-has-tough-questions-to-answer-on-hugging-face-attack/">
    <title>OpenAI has tough questions to answer on Hugging Face attack</title>
    <dc:date>2026-07-24T06:34:39+00:00</dc:date>
    <link>https://www.thestack.technology/openai-has-tough-questions-to-answer-on-hugging-face-attack/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[OpenAI has tough questions to answer on Hugging Face attack 'We can't build a secure sandbox nor monitor our own model tests properly' is not a flex - and Hugging Face's Thomas Wolf has views]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:cf9b8abc2937/</dc:identifier>
</item>
<item rdf:about="https://www.thestack.technology/hugging-face-hacked-turned-to-chinese-llm-for-help-after-us-models-blocked-blue-team/">
    <title>Hugging Face hacked: Turned to Chinese LLM for help after US models blocked Blue Team</title>
    <dc:date>2026-07-24T06:34:38+00:00</dc:date>
    <link>https://www.thestack.technology/hugging-face-hacked-turned-to-chinese-llm-for-help-after-us-models-blocked-blue-team/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Hugging Face hacked: Turned to Chinese LLM for help after US models blocked Blue Team Expensive, proprietary US models were no help to Hugging Face’s defenders, and free Chinese ones were; that’s a warning sign.]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:3db1bc7832cf/</dc:identifier>
</item>
<item rdf:about="https://www.computerwoche.de/article/4195425/eu-bezwingt-sap-so-legen-cios-ihre-teuren-support-fesseln-ab.html?_conv_r=s%3Awww.google.com%2Am%3Aorganic%2At%3Aundefined%2Ac%3A&amp;_conv_s=sh%3A1784821600900-0.29465333572933305%2Asi%3A1%2Apv%3A1&amp;_conv_sptest=null&amp;_conv_v=vi%3A1%2Asc%3A1%2Acs%3A1784821601%2Afs%3A1784821601%2Apv%3A1%2Aexp%3A%7B1004204815.%7Bv.1004481212-g.%7B100469375.1-100469376.1-1004122646.1-1004122649.1%7D%7D%7D%2Aseg%3A%7B%7D">
    <title>EU bezwingt SAP: So legen CIOs ihre teuren Support-Fesseln ab | Computerwoche</title>
    <dc:date>2026-07-23T15:49:39+00:00</dc:date>
    <link>https://www.computerwoche.de/article/4195425/eu-bezwingt-sap-so-legen-cios-ihre-teuren-support-fesseln-ab.html?_conv_r=s%3Awww.google.com%2Am%3Aorganic%2At%3Aundefined%2Ac%3A&amp;_conv_s=sh%3A1784821600900-0.29465333572933305%2Asi%3A1%2Apv%3A1&amp;_conv_sptest=null&amp;_conv_v=vi%3A1%2Asc%3A1%2Acs%3A1784821601%2Afs%3A1784821601%2Apv%3A1%2Aexp%3A%7B1004204815.%7Bv.1004481212-g.%7B100469375.1-100469376.1-1004122646.1-1004122649.1%7D%7D%7D%2Aseg%3A%7B%7D</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[EU bezwingt SAP: So legen CIOs ihre teuren Support-Fesseln ab Auf Druck der EU-Kommission muss SAP seine Support- und Lizenzpolitik grundlegend öffnen. DSAG-Vorstand Michael Bloch ordnet die Folgen für Anwender und den Cloud-Kurs ein.]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:171985af5da9/</dc:identifier>
</item>
<item rdf:about="https://enterprisespectator.substack.com/p/eu-forces-change-on-sap">
    <title>EU Forces Change on SAP, But What About Other Vendors?</title>
    <dc:date>2026-07-23T15:39:35+00:00</dc:date>
    <link>https://enterprisespectator.substack.com/p/eu-forces-change-on-sap</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[EU Forces Change on SAP, But What About Other Vendors? This has been long overdue.]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:91f32d797f06/</dc:identifier>
</item>
<item rdf:about="https://www.youtube.com/watch?v=RqjEuK_JOT0">
    <title>Enterprise Month in Revew - what are CIOs getting right - and wrong? With Tim Crawford 📱 - YouTube</title>
    <dc:date>2026-07-22T20:44:09+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=RqjEuK_JOT0</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Enterprise Month in Revew - what are CIOs getting right - and wrong? With Tim Crawford Enterprise Month in Revew - what are CIOs getting right - and wrong? With Tim Crawford 📱 https://www.youtube.com/watch?v=RqjEuK_JOT0 Enterprise Month in Revew - what are CIOs getting right - and wrong? With Tim Crawford 📱

https://www.youtube.com/watch?v=RqjEuK_JOT0

Yep, it's that time, the enterprise month in review is upon us. Special guest Tim Crawford will give his strong take on where CIOs are going wrong - and what the best CIOs are getting right. You co-hosts, Brian Sommer and Jon Reed, will have their underrate enterprise stories of the month - and Brian's infamous slide deck will have its share of surprises. As always, the audience is a jugular part of the show so bring you savviest and smartest commentary...

via Jon Reed of diginomica https://www.youtube.com/channel/UC9OUJZE2oIwa6rqWSqYoXKw

July 22, 2026 at 04:30PM]]></description>
<dc:subject>IFTTT Jon Reed of diginomica</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:ff7ef6f32957/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:Reed"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:of"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:diginomica"/>
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</item>
<item rdf:about="https://www.youtube.com/watch?v=hwzPsXYBU_k">
    <title>Enterprise Month in Revew - what are CIOs getting right - and wrong? With Tim Crawford - YouTube</title>
    <dc:date>2026-07-22T20:44:07+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=hwzPsXYBU_k</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Enterprise Month in Revew - what are CIOs getting right - and wrong? With Tim Crawford Enterprise Month in Revew - what are CIOs getting right - and wrong? With Tim Crawford https://www.youtube.com/watch?v=hwzPsXYBU_k Enterprise Month in Revew - what are CIOs getting right - and wrong? With Tim Crawford

https://www.youtube.com/watch?v=hwzPsXYBU_k

Yep, it's that time, the enterprise month in review is upon us. Special guest Tim Crawford will give his strong take on where CIOs are going wrong - and what the best CIOs are getting right. You co-hosts, Brian Sommer and Jon Reed, will have their underrate enterprise stories of the month - and Brian's infamous slide deck will have its share of surprises. As always, the audience is a jugular part of the show so bring you savviest and smartest commentary...

via Jon Reed of diginomica https://www.youtube.com/channel/UC9OUJZE2oIwa6rqWSqYoXKw

July 22, 2026 at 04:30PM]]></description>
<dc:subject>IFTTT Jon Reed of diginomica</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:c0ad1075b766/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:IFTTT"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:Reed"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:of"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:diginomica"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.outsolve.com/blog/workday-ai-lawsuit-explained-implications-for-hr">
    <title>Workday AI Lawsuit Explained: Implications for HR</title>
    <dc:date>2026-07-22T17:29:31+00:00</dc:date>
    <link>https://www.outsolve.com/blog/workday-ai-lawsuit-explained-implications-for-hr</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Workday AI Lawsuit Explained: Implications for HR Workday's AI lawsuit highlights the risks of AI in hiring, emphasizing the need for bias audits, human oversight, and vendor accountabilitys.]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:9bb5809b21e9/</dc:identifier>
</item>
<item rdf:about="https://diginomica.com/how-aeropuertos-argentina-launched-their-snow-agent-airport-operations-sap-ai-story">
    <title>How Aeropuertos Argentina launched their Snow Agent for airport operations - an SAP AI story</title>
    <dc:date>2026-07-22T07:29:06+00:00</dc:date>
    <link>https://diginomica.com/how-aeropuertos-argentina-launched-their-snow-agent-airport-operations-sap-ai-story</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[How Aeropuertos Argentina launched their Snow Agent for airport operations - an SAP AI story How Aeropuertos Argentina launched their Snow Agent for airport operations - an SAP AI story https://ift.tt/P1cwDho How Aeropuertos Argentina launched their Snow Agent for airport operations - an SAP AI story

https://ift.tt/P1cwDho

The Aeropuertos Argentina Snow Agent is now live, just in time for the Argentinian winter. But how did we get here? How will this AI agent impact airport operations - and why build it with SAP? At SAP Sapphire Orlando, I got the inside story from CIO Gustavo Sabato.

via Jon Reed – diginomica https://diginomica.com

July 22, 2026 at 03:19AM]]></description>
<dc:subject>IFTTT Jon Reed – diginomica</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:345e00901741/</dc:identifier>
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</item>
<item rdf:about="https://diginomica.com/enterprise-hits-and-misses-cios-respond-looming-eu-ai-act-while-enterprises-break-away-frontier">
    <title>Enterprise hits and misses - CIOs respond to the looming EU AI Act, while enterprises break away from frontier model addiction - but there are caveats</title>
    <dc:date>2026-07-20T16:39:30+00:00</dc:date>
    <link>https://diginomica.com/enterprise-hits-and-misses-cios-respond-looming-eu-ai-act-while-enterprises-break-away-frontier</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Enterprise hits and misses - CIOs respond to the looming EU AI Act while enterprises break away from frontier model addiction - but there are caveats Enterprise hits and misses - CIOs respond to the looming EU AI Act, while enterprises break away from frontier model addiction - but there are caveats https://ift.tt/9ZzPBJC Enterprise hits and misses - CIOs respond to the looming EU AI Act, while enterprises break away from frontier model addiction - but there are caveats

https://ift.tt/9ZzPBJC

This week - the EU AI Act enforcement deadline has been pushed back, but will CIOs be ready? Our diginomica network research reveal offers clues. Enterprises (and their boards) are moving away from the frontier model token burn, but there are caveats galore. "AI FIrst" doesn't mean freezing junior hires, and, as always, some spicy whiffs. 

via Jon Reed – diginomica https://diginomica.com

July 20, 2026 at 12:38PM]]></description>
<dc:subject>IFTTT Jon Reed – diginomica</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:db19cc23e692/</dc:identifier>
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</item>
<item rdf:about="https://www.mckinsey.com/capabilities/people-and-organizational-performance/our-insights/building-expertise-in-the-age-of-ai-who-trains-the-next-generation">
    <title>www.mckinsey.com</title>
    <dc:date>2026-07-19T23:54:15+00:00</dc:date>
    <link>https://www.mckinsey.com/capabilities/people-and-organizational-performance/our-insights/building-expertise-in-the-age-of-ai-who-trains-the-next-generation</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Building expertise in the age of AI: Who trains the next generation? AI is reshaping routine work, but organizations can preserve talent pipelines by redesigning roles, embedding learning, and developing judgment beyond tool fluency. "While that is a trend worth monitoring, leaders we speak with are committed to hiring and apprenticing the next generation of experts, even if their numbers are lower than before. And some organizations are holding their numbers steady. Bank of America, for instance, is bringing in nearly 4,000 summer interns and full-time campus recruits in 2026—matching last year’s hiring from a talent pool spanning more than 500 schools—while explicitly redesigning those roles around AI from day one. Its chief people officer calls the approach “intentional and long term.”]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:d5b04d142ce6/</dc:identifier>
</item>
<item rdf:about="https://thenewstack.io/ai-agent-infrastructure-bottleneck/">
    <title>The bottleneck for AI agents isn't the model anymore. It's the context layer. - The New Stack</title>
    <dc:date>2026-07-19T23:54:08+00:00</dc:date>
    <link>https://thenewstack.io/ai-agent-infrastructure-bottleneck/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[The bottleneck for AI agents isn’t the model anymore. It’s the context layer. AI agent bottlenecks aren't model problems; they're infrastructure issues. Discover why reliable agents require robust context layers. "The context graph first. Building and maintaining a compiled representation of org knowledge isn’t a one-time task. Schemas change. Systems get renamed. Personnel and processes shift. Teams that do this well treat the context graph as a product with an owner, an update cadence, and health checks, rather than a setup step that runs once at deploy time.

Observability second. Model-agnostic proxy layers are becoming standard: a single layer capturing full traces on every LLM call regardless of provider, enforcing per-tenant cost and rate limits, allowing model swaps without rearchitecting. Tracing for agents means capturing reasoning, not just requests: what the agent considered, which tool it selected and why, what came back, and what it did with the result. Without that, debugging is archaeology."]]></description>
<dc:subject>ai agents engineering infrastructure contributed contributed-mate</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:334436aa9980/</dc:identifier>
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</item>
<item rdf:about="https://www.constellationr.com/video/5-actions-esteban-kolskys-july-enterprise-ai-board-report">
    <title>5 Actions From Esteban Kolsky's July Enterprise AI Board Report | Constellation Research</title>
    <dc:date>2026-07-19T23:49:20+00:00</dc:date>
    <link>https://www.constellationr.com/video/5-actions-esteban-kolskys-july-enterprise-ai-board-report</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[5 Actions From Esteban Kolsky's July Enterprise AI Board Report  "Tech spending is separating from economic caution. Invest in data readiness, security, governance, and infrastructure.
Public frontier models alone no longer differentiate. Context, privileged data, and homegrown models win.
At 74% adoption, agentic AI is now an authority question. Agents need permissions, cost controls, monitoring, and a way to undo mistakes.
Enterprise AI needs balance between "brains" (CPUs) and "brawn" (GPUs), plus storage, edge compute, and observability.
Talent is the hardest constraint. Experienced people who can navigate ambiguity and apply judgment matter most."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:ed3b44ad64e0/</dc:identifier>
</item>
<item rdf:about="https://andvijaysays.com/2026/07/18/the-last-proprietary-advantage/">
    <title>The Last Proprietary Advantage – And Vijay Says…</title>
    <dc:date>2026-07-19T23:49:19+00:00</dc:date>
    <link>https://andvijaysays.com/2026/07/18/the-last-proprietary-advantage/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[The Last Proprietary Advantage - by @vijayasankarv  "For the past two years, the industry optimized around yesterday’s scarce resource: raw intelligence. Capital flowed into larger clusters, bigger training runs, and the belief that the smartest model would inevitably capture the market.

But tomorrow’s scarce resource isn’t intelligence. It is context, integration, and execution.

For frontier labs, the strategic question is no longer simply how to build the next breakthrough. It is how to own the assets that become more valuable as intelligence becomes cheaper.

For enterprises, the lesson is even simpler: stop optimizing your strategy around the model. The model is a melting ice cube. Optimize instead for a decoupled architecture, real-world workflows, and the proprietary data loops that the model illuminates."]]></description>
<dc:subject>uncategorized</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:62eb5faa8c56/</dc:identifier>
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</item>
<item rdf:about="https://paulkedrosky.com/china-models-now-more-than-a-third-of-enterprise-market/">
    <title>China Models Now More Than a Third of Enterprise Market</title>
    <dc:date>2026-07-19T22:54:44+00:00</dc:date>
    <link>https://paulkedrosky.com/china-models-now-more-than-a-third-of-enterprise-market/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[China Models Now More Than a Third of Enterprise Market Chinese large language model usage among U.S. companies (on OpenRouter) has soared in the first half of 2026. After being in the low single digits through early 2025, token share rose through late 2025, then soared in 2026, and now stands at roughly 35–45%. Chinese models have become "Some implications:

    Price/performance is becoming decisive.
        Once quality is “close enough,” the lowest-cost frontier-adjacent models take share quickly."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:2b51b748839c/</dc:identifier>
</item>
<item rdf:about="https://www.supplychainshaman.com/lead-time-a-broken-gossamer/">
    <title>Lead Time: A Broken Gossamer – Supply Chain Shaman</title>
    <dc:date>2026-07-19T22:54:43+00:00</dc:date>
    <link>https://www.supplychainshaman.com/lead-time-a-broken-gossamer/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Lead Time: A Broken Gossamer - by @lcecere #scm If you are struggling with supply chain planning, dancing in the light of shiny objects, and scratching your head, please read on. My goal is to help you. Please do not AI Stupid. What do I mean? A… "So, as you play with shiny objects and talk about the promise of AI, remember, that your current architectures were compromised by the limitations of technologies fifty years ago. As you redefine the promise of planning with new technologies, start with first principles, redefine your relationship with data (to use all forms of data), and put some discipline around the use of lead times. Your supply chain will thank-you.

And if you want to calculate the impact of your current supply chain entropy, in the appendix, I share some formulas. To monetize the affect of entropy on your supply chain, push the insights into your network design technologies to run simulations to understand the impact of entropy on cost and customer service.

Then call your CFO and COO to have a different discussion. "]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:40c1073f8b72/</dc:identifier>
</item>
<item rdf:about="https://www.schneier.com/blog/archives/2026/07/ai-surveillance-and-social-progress.html">
    <title>AI Surveillance and Social Progress - Schneier on Security</title>
    <dc:date>2026-07-19T22:49:09+00:00</dc:date>
    <link>https://www.schneier.com/blog/archives/2026/07/ai-surveillance-and-social-progress.html</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[AI Surveillance and Social Progress In the near future, AI-powered surveillance systems will be able to track everything we do in public, and much of what we do in private. And if we do something wrong—shoplift, litter, jaywalk, you name it—the system will notice, retain it, tie it to your official government record, communicate that fact to you, and provide real-time alerts to any relevant authorities… and maybe also to the general public. Think of these systems as automated speed cameras, but on steroids. Only they’ll enforce not just speed limits, but any other rule you can imagine. And you won’t receive a ticket weeks later by mail; you’ll be informed about and fined for your violation immediately... "In a new book, Chilling Effects: Repression, Conformity, and Power in the Digital Age, Jon Penney explains how surveillance, technology and power can be weaponized to influence behavior at scale. Surveillance, personalization, uncertainty and authority are all key mechanisms to increase the scale and impact of chilling effects. They cause people to self-censor their words and actions, to become more conformist and compliant and thus easier to manage and control. And the effects are additive: the more mechanisms employed, and the more powerful the form, the greater the chill."]]></description>
<dc:subject>uncategorized ai llm privacy surveillance</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:f4b9c1d19c50/</dc:identifier>
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</item>
<item rdf:about="http://blog.aheadcrm.co.nz/2026/07/the-agentic-ai-mirage-why-your.html">
    <title>The Agentic AI Mirage: Why Your 'Personalized' Assistant is Working for the Vendor, Not You</title>
    <dc:date>2026-07-19T19:54:38+00:00</dc:date>
    <link>http://blog.aheadcrm.co.nz/2026/07/the-agentic-ai-mirage-why-your.html</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[The Agentic AI Mirage: Why Your 'Personalized' Assistant is Working for the Vendor, Not You - by @twieberneit CRM, social CRM, CX, digital disruption, customer experience, customer engagement, customer service, IoT, AI, MachineLearning, bots, chatbots, AI, gen "Enterprise buyers are currently being bombarded with vendor pitches promising that agentic AI will magically solve their customer experience woes. If you are a buyer and concerned about ethical AI use, here is your survival guide to avoid making an expensive, possibly brand-damaging mistake:

Prioritize Architectural Integrity Over Hype: Do not be seduced by an agent's ability to generate natural-sounding excuses. Demand to see the integration map. If the agent cannot access your back-office CRM and ERP data securely and deterministically, it is not an agent; it is a glorified chatbot with a larger vocabulary."]]></description>
<dc:subject>agentic ai commerce agents crmkonvos customer experience</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:c7acc111c435/</dc:identifier>
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</item>
<item rdf:about="https://www.sap.com/documents/2025/03/bcba3e4c-fc7e-0010-bca6-c68f7e60039b.html">
    <title>Access Denied</title>
    <dc:date>2026-07-17T04:54:33+00:00</dc:date>
    <link>https://www.sap.com/documents/2025/03/bcba3e4c-fc7e-0010-bca6-c68f7e60039b.html</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Essity - SAP Innovation Awards 2025 The SAP solution was integral to helping Essity transform the customer experience. Essity gained significant improvements in how we measure the customer experience and are now able to use that data to enhance SAP CX. They also were able to greatly enhance their sales forecasting accuracy and ability to measure ROI for marketing campaigns. By simplifying and streamlining processes, Essity Australasia has seen substantial improvements in how they interact with consumers while reducing the time it takes to resolve customer issues. 5295]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:9ae4f8260619/</dc:identifier>
</item>
<item rdf:about="https://www.youtube.com/watch?v=10AMSZYnnj0">
    <title>Enterprise data health reality check - an interactive research dive 📱 - YouTube</title>
    <dc:date>2026-07-14T22:39:36+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=10AMSZYnnj0</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Enterprise data health reality check - an interactive research dive Enterprise data health reality check - an interactive research dive 📱 https://www.youtube.com/watch?v=10AMSZYnnj0 Enterprise data health reality check - an interactive research dive 📱

https://www.youtube.com/watch?v=10AMSZYnnj0

We know that enterprise data quality is a problem - and the biggest obstacle to successful AI. But the truth can quickly become a static phrase. What does the data really show? What are the savvy companies doing? How deep does this organizational problem go? Recently, a monster piece of independent research, co-authored by diginomica's Alyx Macqueen and Maureen Blandford for Serendipitus, investigated this problem, and surfaced surprising insights. So let's get Blandford and Macqueen in the proverbial hot seat, and find out about their method, what they learned, and the issues that this research sparked. As always, this is a live, interactive event where your questions and commentary are art of the mix. Maureen and Alyx have prepared their top surprises and fresh views for this program, you won't want to miss this one.

via Jon Reed of diginomica https://www.youtube.com/channel/UC9OUJZE2oIwa6rqWSqYoXKw

July 14, 2026 at 06:25PM]]></description>
<dc:subject>IFTTT Jon Reed of diginomica</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:bc9abdcffc1e/</dc:identifier>
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</item>
<item rdf:about="https://www.youtube.com/watch?v=Ai2-2f24r7I">
    <title>- YouTube</title>
    <dc:date>2026-07-14T22:39:34+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=Ai2-2f24r7I</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Enterprise data health reality check - an interactive research dive - video replay with @diginomica's Alyx MacQueen and @maureenb2b, with @jonerp We know that enterprise data quality is a problem - and the biggest... "We know that enterprise data quality is a problem - and the biggest obstacle to successful AI. But the truth can quickly become a static phrase. What does the data really show? What are the savvy companies doing? How deep does this organizational problem go? Recently, a monster piece of independent research, co-authored by diginomica's Alyx Macqueen and Maureen Blandford for Serendipitus, investigated this problem, and surfaced surprising insights. So let's get Blandford and Macqueen in the proverbial hot seat, and find out about their method, what they learned, and the issues that this research sparked. As always, this is a live, interactive event where your questions and commentary are art of the mix. Maureen and Alyx have prepared their top surprises and fresh views for this program, you won't want to miss this one."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:56e8f2524027/</dc:identifier>
</item>
<item rdf:about="https://pivot-to-ai.com/2026/07/13/terrorists-are-using-ai-and-the-chatbot-is-killing-them/">
    <title>Always.&quot; Tears stood in the Fiction Department. Presumably —.</title>
    <dc:date>2026-07-14T03:19:35+00:00</dc:date>
    <link>https://pivot-to-ai.com/2026/07/13/terrorists-are-using-ai-and-the-chatbot-is-killing-them/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Terrorists are using AI — and the chatbot is killing them Today we have a report by Antonia Juelich at the Cambridge Programme on AI Science and Policy, CASP: “‘God has helped us, and so will AI’: How the Terrorist Group Boko Haram Uses Frontier AI”. Oh n…]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:935d0e749484/</dc:identifier>
</item>
<item rdf:about="https://diginomica.com/enterprise-hits-and-misses-fun-times-geo-and-aeo-brands-bring-ai-house-and-expensive-problem">
    <title>Enterprise hits and misses - fun times with GEO and AEO, brands bring AI in-house, and the (expensive) problem of agentic loops</title>
    <dc:date>2026-07-13T17:54:32+00:00</dc:date>
    <link>https://diginomica.com/enterprise-hits-and-misses-fun-times-geo-and-aeo-brands-bring-ai-house-and-expensive-problem</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Enterprise hits and misses - fun times with GEO and AEO brands bring AI in-house and the (expensive) problem of agentic loops Enterprise hits and misses - fun times with GEO and AEO, brands bring AI in-house, and the (expensive) problem of agentic loops https://ift.tt/WDs3SGt Enterprise hits and misses - fun times with GEO and AEO, brands bring AI in-house, and the (expensive) problem of agentic loops

https://ift.tt/WDs3SGt

This week - AEO and GEO are here, but what road should brands take? Tokenomics are a thing, but are agentic loops the real cost problem? Let's debate. More enterprises like Cisco are bringing AI infrastructure in-house, and Meta tries to single-handedly claim the whiffs section. 

via Jon Reed – diginomica https://diginomica.com

July 13, 2026 at 01:47PM]]></description>
<dc:subject>IFTTT Jon Reed – diginomica</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:560f4bbbc35f/</dc:identifier>
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</item>
<item rdf:about="https://www.mckinsey.com/mgi/our-research/the-real-ai-advantage">
    <title>www.mckinsey.com</title>
    <dc:date>2026-07-13T00:49:24+00:00</dc:date>
    <link>https://www.mckinsey.com/mgi/our-research/the-real-ai-advantage</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[The real AI advantage Discover how companies can use AI business model redesign to move beyond productivity gains, reduce friction, and learn faster than competitors. "The next wave of value from AI will flow to those leaders who redesign business models, eliminate friction, and build organizations that learn faster than the competition. "]]></description>
<dc:subject>research generative ai corporate finance digital strategy and organization the mckinsey podcast</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:8775a2522c10/</dc:identifier>
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</item>
<item rdf:about="https://thenewstack.io/api-vs-mcp-incident-management/">
    <title>APIs aren't dead. Here's where MCP fits alongside them. - The New Stack</title>
    <dc:date>2026-07-13T00:49:18+00:00</dc:date>
    <link>https://thenewstack.io/api-vs-mcp-incident-management/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[APIs aren’t dead. Here’s where MCP fits alongside them. APIs and MCP each play a distinct role in incident management. Here's when to use deterministic API workflows and when MCP's AI context wins. "MCP doesn’t replace APIs. It creates a standardized layer through which AI agents can access the context they need from multiple tools and vendors. In incident management, cross-tool access is crucial. Responders need a connected view across alerts, changes, communications, service ownership, and customer impact.

    “MCP doesn’t replace APIs. It creates a standardized layer through which AI agents can access the context they need from multiple tools and vendors.”]]></description>
<dc:subject>ai operations api management model context protocol (mcp) sponsor-pagerduty sponsored-post-contributed</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:3e115c228794/</dc:identifier>
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</item>
<item rdf:about="https://andvijaysays.com/2026/07/08/the-loop-trap-why-cheap-tokens-dont-mean-cheap-tasks/">
    <title>The Loop Trap: Why Cheap Tokens Don’t Mean Cheap Tasks – And Vijay Says…</title>
    <dc:date>2026-07-12T21:49:34+00:00</dc:date>
    <link>https://andvijaysays.com/2026/07/08/the-loop-trap-why-cheap-tokens-dont-mean-cheap-tasks/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[The Loop Trap: Why Cheap Tokens Don’t Mean Cheap Tasks - by @vijayasankarv In almost every enterprise AI conversation right now, someone eventually says the same thing: “Tokens are basically free.” I understand why people say it. If the expensive part of building with AI … "In almost every enterprise AI conversation right now, someone eventually says the same thing: “Tokens are basically free.” I understand why people say it. If the expensive part of building with AI was inference, then cheaper tokens should unlock everything. But that assumption hides a bigger problem. The real cost of enterprise AI was never just the tokens. It was the messy human work required to turn a probabilistic answer into something a business is willing to bet on.

I’ve started seeing the same pattern play out in enterprise agent deployments. A team lets an advanced coding agent loose on a sprawling, decades-old monolithic service, targeting a move to a modern microservices architecture. The agent spends hours autonomously iterating on a large pull request, running local test suites, and fixing its own syntax errors. When the run finishes, the compute bill is often the smallest part of the exercise."]]></description>
<dc:subject>uncategorized</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:7983961056c4/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:uncategorized"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.constellationr.com/insights/news/deepseeks-real-impact-happening-now">
    <title>DeepSeek's real impact happening now | Constellation Research</title>
    <dc:date>2026-07-12T21:44:08+00:00</dc:date>
    <link>https://www.constellationr.com/insights/news/deepseeks-real-impact-happening-now</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[DeepSeek's real impact happening now Award-winning, Silicon Valley-based research and advisory firm focused on helping early adopters harness the transformative power of exponential technology. Enterprises are managing costs and that means model routing. The rise of good enough models has started to commoditize LLMs.

The economics of LLMs aren't going to hold up just as Anthropic and OpenAI chase IPOs and valuations topping $1 trillion. Something will give, but it's a question of when.]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:ad2307a58b1f/</dc:identifier>
</item>
<item rdf:about="https://www.entrepreneur.com/business-news/cisco-has-90000-employees-each-of-them-will-soon-have-their-own-ai-agent">
    <title>Cisco’s 90,000 Employees Will Soon Have Personalized AI Agents</title>
    <dc:date>2026-07-12T20:09:42+00:00</dc:date>
    <link>https://www.entrepreneur.com/business-news/cisco-has-90000-employees-each-of-them-will-soon-have-their-own-ai-agent</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Cisco Has 90,000 Employees. Each of Them Will Soon Have Their Own AI Agent. Here’s how AI agents are changing the game at Cisco. "Cisco’s system automatically chooses the right AI model for each task. “It knows which tool is most effective and most efficient,” Patterson said. Much of the AI’s infrastructure is built on-site, giving Cisco more say over costs. 

“We feel like that’s the most efficient way is to build our own AI stacks, which will go out and query the different models based on the particular use case,” Patterson said."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:418e32463519/</dc:identifier>
</item>
<item rdf:about="https://venturebeat.com/security/shared-api-keys-expose-ai-agent-fleets-venturebeat-research">
    <title>venturebeat.com</title>
    <dc:date>2026-07-12T20:04:24+00:00</dc:date>
    <link>https://venturebeat.com/security/shared-api-keys-expose-ai-agent-fleets-venturebeat-research</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[69% of enterprises share AI agent credentials - by @louiscolumbus New VentureBeat survey data: 69% of enterprises share AI agent credentials, letting one compromised agent inherit the access of every workflow it touches. "New VentureBeat survey data: 69% of enterprises share AI agent credentials, letting one compromised agent inherit the access of every workflow it touches."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:21d03ed60084/</dc:identifier>
</item>
<item rdf:about="https://www.techpolicy.press/is-europe-getting-ai-wrong/">
    <title>Is Europe Getting AI Wrong? | TechPolicy.Press</title>
    <dc:date>2026-07-12T19:04:16+00:00</dc:date>
    <link>https://www.techpolicy.press/is-europe-getting-ai-wrong/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Is Europe Getting AI Wrong? - podcast from Tech Policy Press Tech Policy Press deputy editor Ramsha Jahangir is joined by Europe 2031 co-author Maximilian Negele and AI Now Institute advisor Frederike Kaltheuner. "When Europe 2031 was published in June, it set off an immediate debate in Brussels and beyond. The fictional near-future scenario authored by a group of AI researchers argues that Europe risks economic and political irrelevance if it fails to compete at the frontier of AI development. Within days of its release, the United States government ordered Anthropic to restrict access to its most advanced AI models for non-US users—an event the report had projected for 2029, underscoring the potential threat.

In this episode, I’m joined by Europe 2031 co-author Maximilian Negele and AI Now Institute advisor Frederike Kaltheuner, an author of a three-part series for Tech Policy Press that argues Europe's dependency problem runs deeper than frontier model access, to debate what Europe is actually getting wrong, and what it would take to change course."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:243ebf406ed8/</dc:identifier>
</item>
<item rdf:about="https://andvijaysays.com/2026/07/11/6217/">
    <title>The Real AI Race Isn’t for Better Models. It’s for Pricing Power. – And Vijay Says…</title>
    <dc:date>2026-07-12T19:04:15+00:00</dc:date>
    <link>https://andvijaysays.com/2026/07/11/6217/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[The Real AI Race Isn’t for Better Models. It’s for Pricing Power. - by @vijayasankarv Every Sunday night, someone somewhere is refreshing an LLM leaderboard. A new model edges out the old one on a coding benchmark. Another claims a fractional improvement in reasoning. Social media f… "As I argued in The Loop Trap, enterprise AI isn’t expensive because of tokens. It’s expensive because of loops.

Retries. Approvals. Validation. Tool calls. Human intervention. Recovery paths. You know the drill! Those loops don’t disappear when models improve. If anything, customers demand more of them.

Inevitably, some legacy software incumbents will argue that enterprise inertia will protect them from this reality. They believe that because they are already integrated into the client’s infrastructure, their pricing remains safe.

But workflow lock-in is a defensive moat, not an offensive one. I am not sure how many amongst us realize this! "]]></description>
<dc:subject>uncategorized ai</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:66e22a46bd54/</dc:identifier>
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</item>
<item rdf:about="https://www.realcleareducation.com/articles/2026/04/21/hampshire_college_and_the_marketplace_of_outcomes_1178156.html">
    <title>Hampshire College and the Marketplace of Outcomes | RealClearEducation</title>
    <dc:date>2026-07-12T04:49:13+00:00</dc:date>
    <link>https://www.realcleareducation.com/articles/2026/04/21/hampshire_college_and_the_marketplace_of_outcomes_1178156.html</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Hampshire College and the Marketplace of Outcomes The closing of Hampshire College was not a surprise. It was a long time coming, and its demise reflects a broader shift in what families now expect from higher education.
At its peak, Hampshire enroll]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:dfc80fd21e24/</dc:identifier>
</item>
<item rdf:about="https://www.404media.co/it-is-trivially-easy-to-use-reddit-to-manipulate-ai-search-research-suggests/">
    <title>It Is Trivially Easy to Use Reddit to Manipulate AI Search, Research Suggests</title>
    <dc:date>2026-07-11T19:14:32+00:00</dc:date>
    <link>https://www.404media.co/it-is-trivially-easy-to-use-reddit-to-manipulate-ai-search-research-suggests/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[It Is Trivially Easy to Use Reddit to Manipulate AI Search, Research Suggests "We show that a tiny snippet—just 13 words—of retrieved text on a UGC website like Reddit, Wikipedia, Quora, or Facebook can change AI agents to output spam / scam content pretty consistently."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:7599eddfa111/</dc:identifier>
</item>
<item rdf:about="https://www.youtube.com/watch?v=Bk7bztU4S_w">
    <title>Analyst Relations gut check - live feedback sessions on AI-created AR &quot;solutions&quot; 📱 - YouTube</title>
    <dc:date>2026-07-09T13:39:19+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=Bk7bztU4S_w</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Analyst Relations gut check - live feedback sessions on AI-created AR "solutions" Analyst Relations gut check - live feedback sessions on AI-created AR "solutions" 📱 https://www.youtube.com/watch?v=Bk7bztU4S_w Analyst Relations gut check - live feedback sessions on AI-created AR "solutions" 📱

https://www.youtube.com/watch?v=Bk7bztU4S_w

And now for something completely different! Let's have a live look at Analyst Relations disruptions - via a feedback session on AI-generated content on how AR needs to change. I generated this content from my own research and analysis - but did AI get it right? What went wrong? How can all of us - including analysts - serve customers better when they need an open, year round dialogue like never before? Joining me will be independent analysts Bonnie Tinder an d Josh Greenbaum. I'll get their unscripted reactions to this collateral, some of which is quite edgy, but does it reflect our views? Where did AI go wrong, and where can data and analytics help us make changes in our industry? Join us and let's hear your reactions also.

via Jon Reed of diginomica https://www.youtube.com/channel/UC9OUJZE2oIwa6rqWSqYoXKw

July 9, 2026 at 09:29AM]]></description>
<dc:subject>IFTTT Jon Reed of diginomica</dc:subject>
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<item rdf:about="https://www.youtube.com/watch?v=nqD9jWEF0UQ">
    <title>- YouTube</title>
    <dc:date>2026-07-09T13:34:18+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=nqD9jWEF0UQ</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Analyst Relations gut check - live feedback sessions on AI-created AR "solutions"]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:206dde0743c7/</dc:identifier>
</item>
<item rdf:about="https://www.bona-books.com/news/we-bought-an-ai-story">
    <title>Honey, We Bought an AI Story — Bona Books</title>
    <dc:date>2026-07-09T13:14:27+00:00</dc:date>
    <link>https://www.bona-books.com/news/we-bought-an-ai-story</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Honey, We Bought an AI Story — Bona Books Bona Books share a hard-learned lesson: we accidentally bought AI-generated fiction. This deep dive into our experience with submission fraud covers the "red flags" we missed, the toll it took on our small press, and our call for industry-wide solidarity against AI-written content. Learn h]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:24ed8dc46c67/</dc:identifier>
</item>
<item rdf:about="https://diginomica.com/workday-elevate-what-kind-ai-do-you-want-customers-share-ai-success-tactics-and-how-employees">
    <title>Workday Elevate - what kind of AI do you want? Customers share AI success tactics - and how employees bought in</title>
    <dc:date>2026-07-08T12:54:42+00:00</dc:date>
    <link>https://diginomica.com/workday-elevate-what-kind-ai-do-you-want-customers-share-ai-success-tactics-and-how-employees</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Workday Elevate - what kind of AI do you want? Customers share AI success tactics - and how employees bought in Workday Elevate - what kind of AI do you want? Customers share AI success tactics - and how employees bought in https://ift.tt/O06lK5E Workday Elevate - what kind of AI do you want? Customers share AI success tactics - and how employees bought in

https://ift.tt/O06lK5E

One big thing has been missing from the keynote stage this year - customers going in-depth on AI success, including the rough edges of change. Workday Elevate was different. Here's how Pfizer, Visa, and Cushman & Wakefield notched early agentic AI wins, and turned employees from naysayers to advocates. 

via Jon Reed – diginomica https://diginomica.com

July 8, 2026 at 08:50AM]]></description>
<dc:subject>IFTTT Jon Reed – diginomica</dc:subject>
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</item>
<item rdf:about="https://diginomica.com/enterprise-hits-and-misses-harness-engineering-takes-over-enterprise-ai-and-tokenomics-full-swing">
    <title>Enterprise hits and misses - harness engineering takes over enterprise AI, and tokenomics is in full swing</title>
    <dc:date>2026-07-06T17:09:28+00:00</dc:date>
    <link>https://diginomica.com/enterprise-hits-and-misses-harness-engineering-takes-over-enterprise-ai-and-tokenomics-full-swing</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Enterprise hits and misses - harness engineering takes over enterprise AI and tokenomics is in full swing Enterprise hits and misses - harness engineering takes over enterprise AI, and tokenomics is in full swing https://ift.tt/yekaCzi Enterprise hits and misses - harness engineering takes over enterprise AI, and tokenomics is in full swing

https://ift.tt/yekaCzi

This week - harness engineering is the phrase du jour, and for good reason. But can it help with the AI tokenomics ROI boomerang? The diginomica network weighs in on EU AI act news, and the future of CRM gets meaty commentary. This week's whiffs are, in a word, awkward.

via Jon Reed – diginomica https://diginomica.com

July 6, 2026 at 01:07PM]]></description>
<dc:subject>IFTTT Jon Reed – diginomica</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:52c4b1462fd3/</dc:identifier>
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<item rdf:about="https://www.constellationr.com/insights/news/aws-launches-forward-deployed-engineering-unit-1-billion-investment">
    <title>AWS launches forward deployed engineering unit with $1 billion investment | Constellation Research</title>
    <dc:date>2026-07-05T19:44:30+00:00</dc:date>
    <link>https://www.constellationr.com/insights/news/aws-launches-forward-deployed-engineering-unit-1-billion-investment</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[AWS launches forward deployed engineering unit with $1 billion investment - by @ldignan Award-winning, Silicon Valley-based research and advisory firm focused on helping early adopters harness the transformative power of exponential technology. "Constellation Research CEO R "Ray" Wang said the never-ending stream of newly minted FDEs require buyer scrutiny.

    "I'm tired of looking at fake FDEs. A real FDE understands how to take the requirement and put it back into the product and actually get something done. These aren't glorified sales consultants or sales engineers. They actually are building product at the same time as they're actually going out to solve the problems at an organization, and they're not field CTOs, and they're not architects. The true FTEs are the folks that are like the consultants from the 90s, and I'm talking like folks that were literally had like 160 to 180 IQ. They knew what they were doing. Today there's so many fake FTEs."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:2d42018e193e/</dc:identifier>
</item>
<item rdf:about="https://www.constellationr.com/research/blog/if-crm-dead-how-relationship-still-breathing">
    <title>If CRM Is Dead, How Is the Relationship Still Breathing? | Constellation Research</title>
    <dc:date>2026-07-05T19:44:29+00:00</dc:date>
    <link>https://www.constellationr.com/research/blog/if-crm-dead-how-relationship-still-breathing</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[If CRM Is Dead, How Is the Relationship Still Breathing? - by @lizkmiller Award-winning, Silicon Valley-based research and advisory firm focused on helping early adopters harness the transformative power of exponential technology. "CRM is not dead. The strategy is alive and well for those with the willingness to build and the patience to guide it forward. The technology is alive and well for those curious enough to explore modern paths to transformation. Gone are the static systems of record, introducing growth, engagement, experience, and revenue to a more active, more contextual, and more individualized approach. Together, with AI as an accelerator and transformational supercharger, CRM can once again take its place next to the customer and shoulder to shoulder with any brand’s CX front line. "]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:5967487487e0/</dc:identifier>
</item>
<item rdf:about="https://thenewstack.io/agentic-ai-token-costs/">
    <title>Why cheaper models alone won't save your AI budget - The New Stack</title>
    <dc:date>2026-07-05T19:44:29+00:00</dc:date>
    <link>https://thenewstack.io/agentic-ai-token-costs/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Why cheaper models alone won’t save your AI budget As agentic AI scales, token consumption — not model selection — is becoming the real cost driver, pushing teams toward smarter context management and routing. "Finding the most capable model at the lowest cost has always been the goal. But as agentic AI evolves, a new problem is frustrating engineers: token consumption is becoming too high across AI systems. Every agent operation consumes tokens, but in very different ways. For instance, a moderately complex agent request can consume 20,000 to 60,000 tokens across its reasoning chain, but a nontrivial engineering task can burn 150,000 to 200,000 tokens per problem.

    Every agent operation consumes tokens, but in very different ways.

Developers are realizing that selecting the right model is important, but the bigger issue is limiting unnecessary token movement throughout an agent’s workflow. That is why teams are starting to consider how to accomplish the same tasks with fewer tokens."]]></description>
<dc:subject>ai infrastructure emerging technologies operations</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:a6a8f6903a59/</dc:identifier>
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</item>
<item rdf:about="https://venturebeat.com/security/the-attack-that-hijacked-claude-code-came-through-sentry-datadog-pagerduty-and-jira-have-the-same-exposure">
    <title>Vercel Security Checkpoint</title>
    <dc:date>2026-07-05T19:39:18+00:00</dc:date>
    <link>https://venturebeat.com/security/the-attack-that-hijacked-claude-code-came-through-sentry-datadog-pagerduty-and-jira-have-the-same-exposure</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Claude Code hijacked via Sentry — Datadog, PagerDuty at risk - by @louiscolumbus  "Tenet Security hijacked Claude Code in 85% of tests via a fake Sentry error — no stolen credentials, no alerts. Datadog and PagerDuty are equally exposed."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:b5e7f8f33568/</dc:identifier>
</item>
<item rdf:about="http://blog.aheadcrm.co.nz/2026/07/the-illusion-of-ai-copilot-why-your.html">
    <title>The Illusion of the AI Copilot: Why Your Legacy CRM Architecture Isn't Cutting It</title>
    <dc:date>2026-07-05T19:39:17+00:00</dc:date>
    <link>http://blog.aheadcrm.co.nz/2026/07/the-illusion-of-ai-copilot-why-your.html</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[The Illusion of the AI Copilot: Why Your Legacy CRM Architecture Isn't Cutting It - by @twieberneit CRM, social CRM, CX, digital disruption, customer experience, customer engagement, customer service, IoT, AI, MachineLearning, bots, chatbots, AI, gen "This brings us to a critical architectural distinction: the difference between merely storing data artifacts and actively maintaining an ongoing understanding of work. Traditional software applications are exceptional at storing passive artifacts: a saved document file, a logged call note, or an archived email chain. But a massive collection of independent data artifacts does not equal true institutional knowledge. Without interpretation it remains mere data. Expecting a human executive to manually synthesize thousands of scattered communication artifacts into a coherent operational picture is a guaranteed recipe for immediate corporate burnout."]]></description>
<dc:subject>ai agents crmkonvos executive intelligence knowledge graph</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:57f64aa0790d/</dc:identifier>
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</item>
<item rdf:about="https://upperedge.com/erp-program-management/is-your-risk-register-hiding-program-problems-how-to-tell-before-its-too-late/">
    <title>Risk Register Governance: Spotting Quiet Closure Before It Costs You</title>
    <dc:date>2026-07-05T19:39:16+00:00</dc:date>
    <link>https://upperedge.com/erp-program-management/is-your-risk-register-hiding-program-problems-how-to-tell-before-its-too-late/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Is Your Risk Register Hiding Program Problems? How to Tell Before It’s Too Late - via @UpperEdge Quiet closure in risk register governance hides real exposure. Learn the 48-hour evidence rule that keeps program risk reporting honest. "If your program struggles, who in the room is solely focused on protecting the enterprise? Not the engagement, not the methodology, not the SI relationship. The outcome and the people attached to it.

If the honest answer is no one, your register will keep telling you the program is improving, right up until the moment the program stops being recoverable. By then the dashboard will already be red, the SI will have filed the extended hypercare CR, the sponsor will be in front of the board, and the mitigation windows that existed when the register was last honest will have closed months back."]]></description>
<dc:subject>digital transformation erp program management executive sponsor it risk mitigation windows pmo governance project execution advisory quiet closure registe</dc:subject>
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<item rdf:about="https://finance.yahoo.com/technology/ai/articles/tokenpocalypse-companies-quietly-throttle-ai-180600952.html?guccounter=1&amp;guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&amp;guce_referrer_sig=AQAAACTf3broBnboDpaw8udAnbV5qMj7G-cyNlARpZCBzuRZ-73tUdtkhxmaFH_eXZsy-aUe1VT3RJnhEYkNNlUne3wUqxwki9TBQjhhMzMxZE8XBBSFAhQnyN0tkh5QZyQPiA_KS9_INKBuHYbdXgCkXWm7JsK5z8RKm-TLPdtGDk4_">
    <title>The 'Tokenpocalypse' is here: Companies quietly throttle AI as token bills pile up</title>
    <dc:date>2026-07-05T19:04:10+00:00</dc:date>
    <link>https://finance.yahoo.com/technology/ai/articles/tokenpocalypse-companies-quietly-throttle-ai-180600952.html?guccounter=1&amp;guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&amp;guce_referrer_sig=AQAAACTf3broBnboDpaw8udAnbV5qMj7G-cyNlARpZCBzuRZ-73tUdtkhxmaFH_eXZsy-aUe1VT3RJnhEYkNNlUne3wUqxwki9TBQjhhMzMxZE8XBBSFAhQnyN0tkh5QZyQPiA_KS9_INKBuHYbdXgCkXWm7JsK5z8RKm-TLPdtGDk4_</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[The 'Tokenpocalypse' is here: Companies quietly throttle AI as token bills pile up "It’s a lot of the non-engineers that are doing some of those behaviors ... you were talking about." ""We're seeing from some of the data internally at least that it's actually not our engineers that are driving the token consumption. It's a lot of the non-engineers that are doing some of those behaviors [...] you were talking about," Accenture's agentic AI strategy lead Justice Kwak said in the meeting, according to the leaked audio.

The pattern may not be limited to Accenture. Some providers, including GitHub, are reportedly shifting away from flat subscriptions and toward per-token pricing, while Uber is said to have capped workers' use of AI coding tools after previously urging staff to "use AI as much as possible." "]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:adffee07673f/</dc:identifier>
</item>
<item rdf:about="https://andvijaysays.com/2026/07/02/systems-over-scale-what-bridgewater-teaches-us-about-the-enterprise-ai-plateau/">
    <title>Systems Over Scale: What Bridgewater Teaches Us About the Enterprise AI Plateau – And Vijay Says…</title>
    <dc:date>2026-07-05T18:49:15+00:00</dc:date>
    <link>https://andvijaysays.com/2026/07/02/systems-over-scale-what-bridgewater-teaches-us-about-the-enterprise-ai-plateau/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Systems Over Scale: What Bridgewater Teaches Us About the Enterprise AI Plateau - by @vijaysankarv I have lost count of how many client conversations this year have gone the same way. Someone tells me the model isn’t accurate enough yet for what they want to do, and the plan is to just wait for … "Good enterprise AI usually comes from a better feedback loop, not from more data or a bigger model.

I also think that’s why so many enterprise AI projects seem to plateau around the same accuracy range. Once you’ve exhausted prompt engineering and upgraded to the latest foundation model, the next gains usually don’t come from a smarter model. They come from better supervision, better routing, better feedback, and better systems."]]></description>
<dc:subject>uncategorized</dc:subject>
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<item rdf:about="https://jonerp.podbean.com/e/enterprise-month-in-review-is-hr-tech-falling-short-with-meg-bear-and-amy-wilson/">
    <title>Enterprise month in review - is HR tech falling short? With Meg Bear and Amy Wilson | Busting the omnichannel - enterprise hacks and chats</title>
    <dc:date>2026-07-05T09:04:08+00:00</dc:date>
    <link>https://jonerp.podbean.com/e/enterprise-month-in-review-is-hr-tech-falling-short-with-meg-bear-and-amy-wilson/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Enterprise month in review - is HR tech falling short? With Meg Bear and Amy Wilson Enterprise month in review - is HR tech falling short? With Meg Bear and Amy Wilson https://ift.tt/UOc6Juh Enterprise month in review - is HR tech falling short? With Meg Bear and Amy Wilson

https://ift.tt/UOc6Juh

Yep, it's that time again. Join Jon Reed and Brian Sommer for the Enterprise Month in Review. We'll pick our underrated stories, and then, in a classic show mashup, Amy Wilson and Meg Bear of the Meg and Amy how will give their live reactions to Brian Sommer's run-down of where HR tech, AI and leadership is falling short. We'll also have some make-your-own-buzzword surprises, and of course, Brian's infamous slide deck. As always, bring your savviest and snarkiest commentary, as you help steer the show and we field your reactions in real-time. Note: for the full slide experience, catch the YouTube replay at https://www.youtube.com/watch?v=bWtobJAsYqE

via Busting the omnichannel - enterprise hacks and chats https://ift.tt/5y8BdFP

July 5, 2026 at 04:58AM]]></description>
<dc:subject>IFTTT Busting the omnichannel - enterprise hacks and chats</dc:subject>
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</item>
<item rdf:about="https://www.popularmechanics.com/science/animals/a71420969/mutant-wolves-of-chernobyl-evolution/">
    <title>The Mutant Wolves of Chernobyl Have Evolved to Survive Cancer</title>
    <dc:date>2026-07-05T00:24:25+00:00</dc:date>
    <link>https://www.popularmechanics.com/science/animals/a71420969/mutant-wolves-of-chernobyl-evolution/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[The Mutant Wolves of Chernobyl Have Evolved to Survive Cancer In the shadow of nuclear disaster, these canines show remarkable resilience to the deadly disease.]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:61842c341a53/</dc:identifier>
</item>
<item rdf:about="https://onstrategyhq.com/resources/mission-statement-examples/">
    <title>52 Mission Statement Examples that Rock | OnStrategy</title>
    <dc:date>2026-07-02T11:14:31+00:00</dc:date>
    <link>https://onstrategyhq.com/resources/mission-statement-examples/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[52 Mission Statement Examples that Rock | OnStrategy Read our 52 mission statement examples from real companies to inspire you and your own mission statement! Plus download our free guide for your library!]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:a61500ea07b5/</dc:identifier>
</item>
<item rdf:about="https://www.consultclarity.org/post/thought-leaders-enterprise-software">
    <title>50 Leading Thought Leaders in Enterprise Software</title>
    <dc:date>2026-07-02T11:14:30+00:00</dc:date>
    <link>https://www.consultclarity.org/post/thought-leaders-enterprise-software</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[50 Leading Thought Leaders in Enterprise Software IntroductionThe software running your organisation is not a background system. It is the central nervous system of how your people work, how your money flows, how your customers are served, and how your supply chain holds together under pressure. Enterprise software, the vast category of platforms built to manage the essential operations of large and complex organisations, is now a market valued at more than 323 billion US dollars globally in 2026. It includes ERP, CRM, HCM, supply chain managem]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:931fa5fe899e/</dc:identifier>
</item>
<item rdf:about="https://diginomica.com/mind-maintenance-gap-christian-pedersen-ifs-how-redefining-innovation-can-change-industries-and">
    <title>Mind the maintenance gap! Christian Pedersen of IFS on how redefining innovation can change industries - and reduce energy consumption</title>
    <dc:date>2026-07-01T05:44:20+00:00</dc:date>
    <link>https://diginomica.com/mind-maintenance-gap-christian-pedersen-ifs-how-redefining-innovation-can-change-industries-and</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Mind the maintenance gap! Christian Pedersen of IFS on how redefining innovation can change industries - and reduce energy consumption Mind the maintenance gap! Christian Pedersen of IFS on how redefining innovation can change industries - and reduce energy consumption https://ift.tt/jdkAygw Mind the maintenance gap! Christian Pedersen of IFS on how redefining innovation can change industries - and reduce energy consumption

https://ift.tt/jdkAygw

Too often, innovation is about chasing shiny new toys. But Christian Pedersen has a different take: he starts by uncovering customer pain points - and overlooked inefficiencies. With the IFS Zero news on deck, I talked with Pedersen about why we need to think differently about industrial change, AI, and energy consumption.

via Jon Reed – diginomica https://diginomica.com

July 1, 2026 at 01:38AM]]></description>
<dc:subject>IFTTT Jon Reed – diginomica</dc:subject>
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</item>
<item rdf:about="https://diginomica.com/enterprise-hits-and-misses-ai-context-and-real-time-truth-gets-debate-ford-rehires-humans-and">
    <title>Enterprise hits and misses - AI context and real-time truth gets a debate, Ford rehires humans, and buyers weigh AI reults to date</title>
    <dc:date>2026-06-29T17:49:42+00:00</dc:date>
    <link>https://diginomica.com/enterprise-hits-and-misses-ai-context-and-real-time-truth-gets-debate-ford-rehires-humans-and</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Enterprise hits and misses - AI context and real-time truth gets a debate Ford rehires humans and buyers weigh AI reults to date Enterprise hits and misses - AI context and real-time truth gets a debate, Ford rehires humans, and buyers weigh AI reults to date https://ift.tt/qpYNZhs Enterprise hits and misses - AI context and real-time truth gets a debate, Ford rehires humans, and buyers weigh AI reults to date

https://ift.tt/qpYNZhs

This week - my real-time organizational truth piece evokes AI context debates - is there project success beyond frontier model dependence? Ford rehires human engineers - but it's complicated. OpenAI volunteers for regulation (kind of), and buyers get real on AI. 

via Jon Reed – diginomica https://diginomica.com

June 29, 2026 at 01:42PM]]></description>
<dc:subject>IFTTT Jon Reed – diginomica</dc:subject>
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</item>
<item rdf:about="https://www.unesco.org/en/articles/ai-large-language-models-new-report-shows-small-changes-can-reduce-energy-use-90">
    <title>AI Large Language Models: new report shows small changes can reduce</title>
    <dc:date>2026-06-29T01:29:20+00:00</dc:date>
    <link>https://www.unesco.org/en/articles/ai-large-language-models-new-report-shows-small-changes-can-reduce-energy-use-90</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[AI Large Language Models: new report shows small changes can reduce New research published by UNESCO and UCL, shows that small changes to how Large Language Models are built and used can dramatically reduce energy consumption without compromising performance. The report advocates for a pivot away from resource-heavy AI models in favour of more compact models. Used together, these measures can reduce energy consumption by up to 90%.]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:4e6b824a568b/</dc:identifier>
</item>
<item rdf:about="https://www.mckinsey.com/capabilities/risk-and-resilience/our-insights/how-companies-can-strengthen-their-geopolitical-risk-readiness">
    <title>www.mckinsey.com</title>
    <dc:date>2026-06-28T23:14:53+00:00</dc:date>
    <link>https://www.mckinsey.com/capabilities/risk-and-resilience/our-insights/how-companies-can-strengthen-their-geopolitical-risk-readiness</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[How companies can strengthen their geopolitical risk readiness Many companies lack mature geopolitical risk management capabilities. Learn five actions leading firms use to build resilience, foresight, and operational agility. "Despite this, risk readiness remains low. Fewer than one-third of respondents consider their geopolitical risk management capabilities mature (Exhibit 2), and just 28 percent rate them as effective at supporting decision-making. Among the most cited capability gaps were the lack of early warning systems and insufficient geopolitical intelligence gathering. Notably, few leaders view their existing risk response capabilities as either “ineffective” or “very effective,” suggesting that few companies are positioned to anticipate shocks or seize the opportunities that may emerge during geopolitical disruptions."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:0e638fd8b821/</dc:identifier>
</item>
<item rdf:about="https://thenewstack.io/vibe-coding-context-debt/">
    <title>Vibe slop is the symptom. Context debt is the disease. - The New Stack</title>
    <dc:date>2026-06-28T23:14:47+00:00</dc:date>
    <link>https://thenewstack.io/vibe-coding-context-debt/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Vibe slop is the symptom. Context debt is the disease. Vibe coding floods software with slop. But the deeper threat is context debt — the tangle of APIs and services no human or agent can fully track. "This matters more at scale. The largest Context Graphs Postman mapped run well exceeded anything a senior engineer could hold in their head, Asthana told me. They mapped more than 1,100 APIs at a major U.S. telecom, more than 2,600 at a global telecom, and over 11,000 at one large tech company.

Postman has been running the agents on its own engineering team and has shared some data with me. APIs touch 68% of the company’s pull request traffic, Asthana tells The New Stack, and Postman runs the AI Engineer across the API-related work. The most consequential catch so far, he said, was a set of downstream dependency changes that likely would have cleared review but failed in production."]]></description>
<dc:subject>ai engineering api management vibe coding</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:bf7e60a1947b/</dc:identifier>
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</item>
<item rdf:about="https://www.theguardian.com/technology/2026/jun/26/openai-ai-model-release-trump-us-sam-altman-gpt-anthropic-mythos">
    <title>OpenAI staggers AI model release after Trump administration request | OpenAI | The Guardian</title>
    <dc:date>2026-06-28T23:14:46+00:00</dc:date>
    <link>https://www.theguardian.com/technology/2026/jun/26/openai-ai-model-release-trump-us-sam-altman-gpt-anthropic-mythos</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[OpenAI staggers AI model release after Trump administration request Sam Altman announces limited preview of GPT 5.6 in move that echoes launch of Anthropic’s Mythos "“As part of our ongoing engagement with the US government, we previewed our plans and the models’ capabilities ahead of today’s launch,” OpenAI wrote in a blog post. “At their request, we are starting with a limited preview for a small group of trusted partners whose participation has been shared with the government, before releasing more broadly.”

Anthropic, OpenAI’s close rival, had carried out a similar release programme for its Mythos model but has now pulled the technology entirely after the US government ordered the company to stop foreign nationals from accessing public versions of the model, which has powerful cyber-hacking capabilities. Anthropic had at first delayed the widespread release of Mythos voluntarily but OpenAI appears to have done so at the federal government’s behest.

Stating its disquiet with the US government approach, it said: “We don’t believe this kind of government access process should become the long-term default.”]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:16301d1a411d/</dc:identifier>
</item>
<item rdf:about="https://venturebeat.com/security/autonomous-security-agents-need-complete-data-heres-how-to-check-if-yours-is-ready">
    <title>venturebeat.com</title>
    <dc:date>2026-06-28T23:09:16+00:00</dc:date>
    <link>https://venturebeat.com/security/autonomous-security-agents-need-complete-data-heres-how-to-check-if-yours-is-ready</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[12.7% of EDR-managed devices missed every security agent. 5 checks before autonomous SOC agents go live. - by @louiscolumbus 12.7% of enterprise devices are missing their expected security agent. Here's the 5-gate checklist to run before autonomous SOC agents act on your data. "The CSA’s Agentic Trust Framework requires that any agent promoted to a higher autonomy level must pass five gates, including demonstrated accuracy and a security audit. The EU AI Act’s Article 50 transparency obligations take effect August 2, 2026. The May 2026 Digital Omnibus pushed high-risk system obligations to December 2027, but organizations deploying agentic SOC agents on incomplete asset data face immediate operational risk that outpaces any regulatory timeline."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:ffaea28c75c5/</dc:identifier>
</item>
<item rdf:about="https://www.constellationr.com/insights/news/heres-what-we-learned-about-ai-projects-enterprise-buyers-so-far">
    <title>Here’s what we learned about AI projects from enterprise buyers so far | Constellation Research</title>
    <dc:date>2026-06-28T23:09:15+00:00</dc:date>
    <link>https://www.constellationr.com/insights/news/heres-what-we-learned-about-ai-projects-enterprise-buyers-so-far</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Here’s what we learned about AI projects from enterprise buyers so far - by @ldignan Award-winning, Silicon Valley-based research and advisory firm focused on helping early adopters harness the transformative power of exponential technology. "AI value has replaced the AI sizzle reel. Winning AI use cases are driven by processes and removing friction inside of the enterprise. Think supply chain, forecasting, scheduling, maintenance, inventory and all of those backend workflows.

Start with the operational pain points and deliver outcomes.

Customer facing AI still matters and garners its share of attention, but the returns so far have been about the workflows behind the scenes where AI can remove cost, time, errors and friction."]]></description>
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