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  </channel><item rdf:about="https://diginomica.com/what-are-components-buyer-trust-ai-services-time-enterprise-rethink">
    <title>What are the components of buyer trust for AI services? Time for an enterprise rethink!</title>
    <dc:date>2026-09-16T07:39:37+00:00</dc:date>
    <link>https://diginomica.com/what-are-components-buyer-trust-ai-services-time-enterprise-rethink</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[What are the components of buyer trust for AI services? Time for an enterprise rethink! What are the components of buyer trust for AI services? Time for an enterprise rethink! https://ift.tt/vqZtGe4 What are the components of buyer trust for AI services? Time for an enterprise rethink!

https://ift.tt/vqZtGe4

When it comes to agentic AI apps and services, buyer trust matters - but why? And if AI trust is so important, shouldn't we try nail it down? Here's a serious crack at it. Turns out vendors have work to do - and maybe customers do too. 

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

September 16, 2026 at 03:36AM]]></description>
<dc:subject>IFTTT Jon Reed – diginomica</dc:subject>
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<item rdf:about="https://andvijaysays.com/2026/08/02/the-architectural-default/">
    <title>The Architectural Default – And Vijay Says…</title>
    <dc:date>2026-09-16T03:59:36+00:00</dc:date>
    <link>https://andvijaysays.com/2026/08/02/the-architectural-default/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[The Architectural Default - by @vijayasankarv  "Every advantage built across this book, permission, control surface, synchronization, context loop, still operates inside a market whose rules were written by someone else. The final move available to a company holding all of that is to stop playing inside the existing rules and start becoming the reference point everyone else has to build against. Becoming the default isn’t about winning the most customers. It’s the moment when competitors, and even the industry’s own infrastructure, start assuming your architecture as the baseline, so that building something different becomes the exception that requires justification rather than the norm."]]></description>
<dc:subject>uncategorized</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:0222548398c7/</dc:identifier>
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<item rdf:about="https://blog.aheadcrm.co.nz/2026/09/voice-ai-and-agentic-commerce-your.html">
    <title>Voice AI and Agentic Commerce: Your Personal Agent Rents Its Home From the Other Side of the Force</title>
    <dc:date>2026-09-15T05:14:21+00:00</dc:date>
    <link>https://blog.aheadcrm.co.nz/2026/09/voice-ai-and-agentic-commerce-your.html</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Voice AI and Agentic Commerce: Your Personal Agent Rents Its Home From the Other Side of the Force - by @twieberneit CRM, social CRM, CX, digital disruption, customer experience, customer engagement, customer service, IoT, AI, MachineLearning, bots, chatbots, AI, gen "Every wave of customer-facing technology arrives with the same promise: this time the balance of power shifts toward the customer. As we discussed in our recent CRMKonvo with Dan Miller, founder and analyst emeritus of Opus Research, voice AI is making that promise again, and this time both sides of the counter are armed. The more interesting questions are where the customer's weapon is kept, who pays its rent, and who gets to whisper to it while it works."]]></description>
<dc:subject>agentic ai commerce conversational crmkonvos voice</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:41d23e92e583/</dc:identifier>
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<item rdf:about="https://diginomica.com/enterprise-hits-and-misses-are-ai-agents-employees-or-not-are-enterprise-harnesses-ready-and-are">
    <title>Enterprise hits and misses - are AI agents employees, or not? Are enterprise harnesses ready, and are transfomer loops a security fail?</title>
    <dc:date>2026-09-14T10:19:38+00:00</dc:date>
    <link>https://diginomica.com/enterprise-hits-and-misses-are-ai-agents-employees-or-not-are-enterprise-harnesses-ready-and-are</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Enterprise hits and misses - are AI agents employees or not? Are enterprise harnesses ready and are transfomer loops a security fail? Enterprise hits and misses - are AI agents employees, or not? Are enterprise harnesses ready, and are transfomer loops a security fail?  https://ift.tt/RK5c1nS Enterprise hits and misses - are AI agents employees, or not? Are enterprise harnesses ready, and are transfomer loops a security fail? 

https://ift.tt/RK5c1nS

Are AI agents employees? The implications go far beyond semantics... With the SaaSpocalypse in retreat, can harnesses make agentic software trustworthy? Fall event season is headed for overdrive, and I'm debating AI safety. Can Microsoft claim the entire whiffs section? 

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

September 14, 2026 at 06:18AM]]></description>
<dc:subject>IFTTT Jon Reed – diginomica</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:30aee980bd14/</dc:identifier>
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<item rdf:about="https://garymarcus.substack.com/p/two-cheers-out-of-three-for-dario?publication_id=888615&amp;post_id=215509442&amp;isFreemail=true&amp;r=1knkg0&amp;triedRedirect=true">
    <title>Two cheers (out of three) for Dario Amodei - by Gary Marcus</title>
    <dc:date>2026-09-13T23:59:33+00:00</dc:date>
    <link>https://garymarcus.substack.com/p/two-cheers-out-of-three-for-dario?publication_id=888615&amp;post_id=215509442&amp;isFreemail=true&amp;r=1knkg0&amp;triedRedirect=true</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Two cheers (out of three) for Dario Amodei - by @garymarcus A partial endorsement of his essay “We Must Pace the Frontier” "To begin with, the essay begins with the usual hypey bullshit, which is used to advertise generative AI. As I already noted here yesterday, that includes both hyperbolic doom and hyperbolic cheer. AI is not really going to take down the internet, and (as discussed in another earlier essay) it’s not going to cure cancer either, at least not anytime soon or on its own.

Then there is the self-indulgent construction of the whole thing, which David Sacks well-deconstructed in a long tweet yesterday."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:c48442efc2dc/</dc:identifier>
</item>
<item rdf:about="https://www.constellationr.com/insights/news/bt150-zeitgeist-saas-pricing-ai-agent-looming-questions-organizational-design">
    <title>BT150 zeitgeist: SaaS pricing, AI agent looming questions, organizational design | Constellation Research</title>
    <dc:date>2026-09-13T23:54:33+00:00</dc:date>
    <link>https://www.constellationr.com/insights/news/bt150-zeitgeist-saas-pricing-ai-agent-looming-questions-organizational-design</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[BT150 zeitgeist: SaaS pricing, AI agent looming questions, organizational design - by @ldignan Award-winning, Silicon Valley-based research and advisory firm focused on helping early adopters harness the transformative power of exponential technology. "Active debate on build vs. buy and SaaS. CxOs were actively debating on where to build agents and the tradeoffs between best-of-breed stacks and consumption in native platforms. The choices are using a third-party agent framework or building agents within a SaaS environment such as Salesforce, Workday or SAP.

One CIO noted that it makes sense to stay within vendor verticals but connect them via model context protocol (MCP). "If you've got a Workday that's has its thing and a Microsoft that has its thing, you use an MCP gateway and connect them. But I'm not going to go build all the stuff they've already given me and sold me," said the CIO.

The big question is whether an enterprise wants to deal with the plumbing. Best of breed and third party frameworks can provide significant savings, but you'll have a significant amount of plumbing to worry about. "]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:79b709ddea81/</dc:identifier>
</item>
<item rdf:about="https://calnewport.com/superintelligence-is-a-fairy-tale-but-chasing-it-can-still-cause-harm/">
    <title>Superintelligence is a Fairy Tale. But Chasing It Can Still Cause Harm. - Cal Newport</title>
    <dc:date>2026-09-13T23:54:32+00:00</dc:date>
    <link>https://calnewport.com/superintelligence-is-a-fairy-tale-but-chasing-it-can-still-cause-harm/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Superintelligence is a Fairy Tale. But Chasing It Can Still Cause Harm. Yesterday, multiple Anthropic employees casually announced online that they thought the types of AI they’re building could kill billions of people. Not in some distant ... Read more "The Anthropic employees who spoke out yesterday believe the force that might wipe out humanity will be “superintelligent” AI systems that are much too capable for us to control. Let me be clear: We have no idea how to create such machines. We don’t even know if they’re possible. And if they are possible, we are many, many key technical innovations away from getting there. (Simply scaling LLMs won’t be nearly enough.)

The LLM labs attempt to sidestep this reality ​by claiming​ their models will figure this all out on their own, programming better versions of themselves that will be far more capable than anything us measly humans can conceive. But this is just a warmed-over version of the recursive self-improvement trope that Silicon Valley futurists have been peddling ​since the 1960s​; a rhetorical crutch that lets you somberly discuss sci-fi scenarios without actually engaging with relevant technical details."]]></description>
<dc:subject>uncategorized</dc:subject>
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<item rdf:about="https://blog.aheadcrm.co.nz/2026/08/the-enterprise-ai-intent-gap.html">
    <title>The Enterprise AI Intent Gap</title>
    <dc:date>2026-09-13T23:49:31+00:00</dc:date>
    <link>https://blog.aheadcrm.co.nz/2026/08/the-enterprise-ai-intent-gap.html</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[The Enterprise AI Intent Gap - by @thomaswieberneit CRM, social CRM, CX, digital disruption, customer experience, customer engagement, customer service, IoT, AI, MachineLearning, bots, chatbots, AI, gen "Every hype cycle produces its own comfortable silence, and this one has a good one: almost everybody is doing AI, and almost nobody will say out loud whether it worked. In our recent CRMKonvo with Jon Reed, co-founder of diginomica, we spent an hour poking at that silence, with Ralf Korb doing the poking alongside me. Jon is one of the analysts who actually tests the thing before writing about it, which makes him tiresome company for vendors and excellent company for buyers. The conversation did not land on whether AI works. It landed somewhere considerably more uncomfortable: most enterprises cannot say what working would look like, and they started spending anyway."]]></description>
<dc:subject>agentic ai crmkonvos enterprise software strategy</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:47f85f172893/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:crmkonvos"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:enterprise"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:software"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:strategy"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://venturebeat.com/security/security-vendors-use-ai-to-rank-patch-tuesday-cves-and-rarely-tell-customers">
    <title>https://venturebeat.com/security/security-vendors-use-ai-to-rank-patch-tuesday-cves-and-rarely-tell-customers</title>
    <dc:date>2026-09-13T23:49:30+00:00</dc:date>
    <link>https://venturebeat.com/security/security-vendors-use-ai-to-rank-patch-tuesday-cves-and-rarely-tell-customers</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Patch Tuesday AI: what vendors don't disclose | VentureBeat Microsoft's record Patch Tuesday drew seven CVE counts. Security vendors use AI to rank them, and Ivanti's Claude skill invented details reviewers caught. Goettl is Ivanti’s VP of product management for endpoint security. The skill he built applies Ivanti’s own threat-risk prioritization to raw patch data, runs on Anthropic’s platform, draws only on published vendor advisories and Ivanti’s own spreadsheets, and does not touch customer data. Every output is a draft until a human approves it for release. The prioritized Patch Tuesday briefing reaches 500 to 700 webinar attendees each month.

AI is inventing data in the pipelines that produce the security guidance enterprise customers act on. The largest security vendors now use AI to rank Patch Tuesday CVEs, and their customers do not know what produced that ranking. Ivanti is the only vendor VentureBeat found that has described fabrications from its own AI skill and the review step built to catch them.]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:1a64bb21618b/</dc:identifier>
</item>
<item rdf:about="https://34ab012c-f200-4706-84a6-910108839ea7.libsyn.com/executive-intelligence-uipath-ceo-daniel-dines-on-identity-consequences-and-the-work-ai-cannot-carry">
    <title>Executive Intelligence - a diginomica podcast series</title>
    <dc:date>2026-09-13T23:49:30+00:00</dc:date>
    <link>https://34ab012c-f200-4706-84a6-910108839ea7.libsyn.com/executive-intelligence-uipath-ceo-daniel-dines-on-identity-consequences-and-the-work-ai-cannot-carry</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Executive Intelligence - UiPath CEO Daniel Dines on identity, consequences, and the work AI cannot carry, via @diginomica UiPath's Daniel Dines is applying philosophical research to enterprise AI. In this Executive Intelligence podcast, he explains why the founder of an enterprise automation and AI company is thinking hard about the human at the gate - the point in a workflow where actions have consequences, and where a person still has to stand. Along the way we discuss why he's quoting Harry G. Frankfurt, why he thinks the word "exactness" beats "determinism," and why the executives cutting people first are putting their architecture stability at risk. "UiPath's Daniel Dines is applying philosophical research to enterprise AI. In this Executive Intelligence podcast, he explains why the founder of an enterprise automation and AI company is thinking hard about the human at the gate - the point in a workflow where actions have consequences, and where a person still has to stand. Along the way we discuss why he's quoting Harry G. Frankfurt, why he thinks the word "exactness" beats "determinism," and why the executives cutting people first are putting their architecture stability at risk."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:a76e38014cc8/</dc:identifier>
</item>
<item rdf:about="https://www.fastforward.blog/the-language-we-use-to-describe-ai-matters/">
    <title>The language we use to describe AI matters</title>
    <dc:date>2026-09-13T22:39:34+00:00</dc:date>
    <link>https://www.fastforward.blog/the-language-we-use-to-describe-ai-matters/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[The language we use to describe AI matters - by @ron_miller Here we go again. Another AI researcher emerged this week warning us of humanity's impending doom due to the power of AI. This one was a former Anthropic employee who quit his job because he is convinced these models are going to kill us all. I thought we were past the doom-speak, but apparently not.

Alongside these types of pronouncements, which we have been hearing on a regular basis since ChatGPT emerged in 2022, there is a charged language developing around describing this generation's AI c "Even relatively benign language like hallucinations, thinking and reasoning assigns human-like capabilities to software that in my experience, while able to do some pretty amazing things, isn't close to the kind of human-like intelligence that we keep hearing attributed to current AI."]]></description>
<dc:subject>commentary</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:802fe7002a6b/</dc:identifier>
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</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.acumatica.com/corporate-newsroom/press-releases/acumatica-acquires-vertrax/">
    <title>Acumatica Acquires Vertrax, Backing the ISV’s Growth in Fuel and Energy Distribution | Acumatica Cloud ERP</title>
    <dc:date>2026-09-09T19:39:36+00:00</dc:date>
    <link>https://www.acumatica.com/corporate-newsroom/press-releases/acumatica-acquires-vertrax/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Acumatica Acquires Vertrax, Backing the ISV’s Growth in Fuel and Energy Distribution Longtime partner with industry-specific IP, rapid growth, and a shared commitment to customer success joins Acumatica Bellevue, Wash., July 14, 2026 — Acumatica, a leading provider of cloud ERP solutions for growing... ]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:d5741ece0b4c/</dc:identifier>
</item>
<item rdf:about="https://diginomica.com/enterprise-hits-and-misses-bad-data-gives-marketing-ai-hangover-jensen-huang-gives-linkedin-agi">
    <title>Enterprise hits and misses - bad data gives Marketing an AI hangover, Jensen Huang gives LinkedIn an AGI viral infusion, and fall events are here</title>
    <dc:date>2026-09-08T10:24:29+00:00</dc:date>
    <link>https://diginomica.com/enterprise-hits-and-misses-bad-data-gives-marketing-ai-hangover-jensen-huang-gives-linkedin-agi</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Enterprise hits and misses - bad data gives Marketing an AI hangover Jensen Huang gives LinkedIn an AGI viral infusion and fall events are here Enterprise hits and misses - bad data gives Marketing an AI hangover, Jensen Huang gives LinkedIn an AGI viral infusion, and fall events are here https://ift.tt/fOXq6ht Enterprise hits and misses - bad data gives Marketing an AI hangover, Jensen Huang gives LinkedIn an AGI viral infusion, and fall events are here

https://ift.tt/fOXq6ht

This week - just went LinkedIn was getting the long weekend blues, NVIDIA's Jensen Huang ramped up the AI fisticuffs with a new AGI proclamation. But should enterprises care? They should care about data quality, that's for sure - and not just marketers. Fall events are on, and so are we. And yes, more whiffs. 

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

September 8, 2026 at 06:16AM]]></description>
<dc:subject>IFTTT Jon Reed – diginomica</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:f307633492cb/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:Jon"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:Reed"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:–"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:diginomica"/>
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</item>
<item rdf:about="https://garymarcus.substack.com/p/sad-to-see-jensen-huang-claim-that">
    <title>Sad to see Jensen Huang claim that AGI has arrived, with no evidence and no definitions</title>
    <dc:date>2026-09-08T01:29:16+00:00</dc:date>
    <link>https://garymarcus.substack.com/p/sad-to-see-jensen-huang-claim-that</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Sad to see Jensen Huang claim that AGI has arrived, with no evidence and no definitions - by @garymarcus Declaring victory without a definition simply muddies the waters "Unfortunately, Huang gave no evidence and no definitions, which feels to me like an effort at a takeover of a scientific question by corporate fiat."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:106149804b1d/</dc:identifier>
</item>
<item rdf:about="https://www.mckinsey.com/industries/public-sector/our-insights/the-power-of-purpose-culture-and-grit-an-interview-with-joanne-bass">
    <title>www.mckinsey.com</title>
    <dc:date>2026-09-08T01:24:40+00:00</dc:date>
    <link>https://www.mckinsey.com/industries/public-sector/our-insights/the-power-of-purpose-culture-and-grit-an-interview-with-joanne-bass</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[The power of purpose, culture, and grit: An interview with JoAnne Bass The Air Force’s former top enlisted leader reflects on the value of lifelong learning, writing your own playbook, and preparing the next generation to serve. "hief JoAnne Bass, Air Force (Ret.), was raised in the military and watched her father get up early every day to serve in the US Army. When she enlisted in the US Air Force in 1993, she thought it would be a mere four-year stint on her life’s longer journey. Thirty-one years later, Bass retired from the Air Force after rising to become its 19th Chief Master Sergeant, the service’s highest enlisted leadership position. During her tenure, she held a variety of leadership roles and broke several barriers along the way, ultimately ascending to the rank of Chief Master Sergeant of the Air Force and representing the interests of more than 689,000 active-duty, Guard, Reserve, and civilian Airmen and their families."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:902b44590c69/</dc:identifier>
</item>
<item rdf:about="https://calnewport.com/on-ai-coding-and-its-discontents/">
    <title>Just a moment...</title>
    <dc:date>2026-09-08T01:24:34+00:00</dc:date>
    <link>https://calnewport.com/on-ai-coding-and-its-discontents/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[On AI Coding and Its Discontents Back in January, I received a note from a senior software engineer in Silicon Valley. He described himself as an AI skeptic who became converted ... Read more "He told me that features he generated using Claude Code ended up crashing their product on two different occasions. His boss told him that if it happened one more time, he’d be fired. “I’ve never had quality issues like this before in my career.”

The problem is that code produced by an AI agent looks reasonable, but can contain ‘hard-to-spot bugs’ that end up causing major problems. As a result, you should carefully review your agent’s output, but this is difficult. As the engineer told me, it’s “famously hard” to understand code you didn’t write yourself, so this extra step becomes “easy to just blow it off (especially when we are all trying to ‘10x’ our velocity).” Soon, systems start to break."]]></description>
<dc:subject>uncategorized</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:2d65a1897d00/</dc:identifier>
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</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://thenewstack.io/openai-agent-research-bottleneck/">
    <title>AI agents are creating more work, not less — and OpenAI's own numbers back it up - The New Stack</title>
    <dc:date>2026-09-08T01:24:33+00:00</dc:date>
    <link>https://thenewstack.io/openai-agent-research-bottleneck/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[AI agents are creating more work, not less — and OpenAI’s own numbers back it up OpenAI's agents log 3.1 workdays for every human one, but more hours don't mean faster breakthroughs — and supervision may be the real bottleneck. "For engineering teams, that leaves plenty of work on the human side, which means running more agents can increase the amount of work happening at once, but it can also increase the amount of work a human needs to keep track of."]]></description>
<dc:subject>ai agents infrastructure operations</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:1a983a4557fd/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:agents"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:infrastructure"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:operations"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.constellationr.com/insights/news/why-you-should-arbitrage-your-ai-models-your-vendors-do">
    <title>Why you should arbitrage your AI models like your vendors do | Constellation Research</title>
    <dc:date>2026-09-08T01:24:32+00:00</dc:date>
    <link>https://www.constellationr.com/insights/news/why-you-should-arbitrage-your-ai-models-your-vendors-do</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Why you should arbitrage your AI models like your vendors do - by @ldignan Award-winning, Silicon Valley-based research and advisory firm focused on helping early adopters harness the transformative power of exponential technology. "Oracle CEO Mike Sicilia was most explicit about open models and their role in controlling costs. Speaking at a recent investment conference, Sicilia said: "We arbitrage open source models. We oversource OpenAI inside of our own applications. I think there's a place for open models. In fact, some of those Fusion examples that I gave earlier with HCM, we're arbitraging both, in this case, OpenAI and open models."

If the results are good enough with an open model, follow the value. "If there's a good enough result from the model that results in a high-quality answer for customers, we're by no means opposed to leveraging that open model and keeping our costs low as a result," said Sicilia, who said their will be multiple model winners and Oracle won't be locked into any one LLM."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:d2270b64e76d/</dc:identifier>
</item>
<item rdf:about="https://diginomica.podbean.com/e/executive-intelligence-uipath-ceo-daniel-dines-on-identity-consequences-and-the-work-ai-cannot-carry/">
    <title>Executive Intelligence - UiPath CEO Daniel Dines on identity, consequences, and the work AI cannot carry | diginomica</title>
    <dc:date>2026-09-08T01:24:32+00:00</dc:date>
    <link>https://diginomica.podbean.com/e/executive-intelligence-uipath-ceo-daniel-dines-on-identity-consequences-and-the-work-ai-cannot-carry/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Executive Intelligence - UiPath CEO Daniel Dines on identity, consequences, and the work AI cannot carry - hosted by Alyx MacQeeen, a @diginomica podcast UiPath's Daniel Dines is applying philosophical research to enterprise AI. In this Executive Intelligence podcast, he explains why the founder of an enterprise automation and AI company is thinking hard about the human at the gate - the point in a workflow where actions have consequences, and where a person still has to stand. Along the way we discuss why he's quoting Harry G. Frankfurt, why he thinks the word "exactness" beats "determinism," and why the executives cutting people first are putting their architecture stability at risk. "UiPath's Daniel Dines is applying philosophical research to enterprise AI. In this Executive Intelligence podcast, he explains why the founder of an enterprise automation and AI company is thinking hard about the human at the gate - the point in a workflow where actions have consequences, and where a person still has to stand. Along the way we discuss why he's quoting Harry G. Frankfurt, why he thinks the word "exactness" beats "determinism," and why the executives cutting people first are putting their architecture stability at risk."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:27139aecd4a3/</dc:identifier>
</item>
<item rdf:about="https://redmonk.com/sogrady/2026/09/03/open-weight-models/">
    <title>How to Think About Open Weight Models – tecosystems</title>
    <dc:date>2026-09-08T01:19:05+00:00</dc:date>
    <link>https://redmonk.com/sogrady/2026/09/03/open-weight-models/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[How to Think About Open Weight Models - by @sogrady  'But the important question from a capability standpoint isn’t necessarily raw capability, but a threshold. The industry crossed an important inflection point in November of 2025 with first Opus and then Chat-GPT. Those models introduced an entirely new level of capability, making them massively more useful than the models that preceded them. The important question, then, has been not when or if there will be true parity between open and closed models, but when open weight models will match those original Opus capabilities: when will they be “good enough?”]]></description>
<dc:subject>ai open source</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:82c76f79c119/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:open"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:source"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://krebsonsecurity.com/2026/09/fbi-probes-service-selling-153m-drivers-licenses/">
    <title>FBI Probes Service Selling 153M+ Drivers Licenses – Krebs on Security</title>
    <dc:date>2026-09-08T01:04:12+00:00</dc:date>
    <link>https://krebsonsecurity.com/2026/09/fbi-probes-service-selling-153m-drivers-licenses/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[FBI Probes Service Selling 153M+ Drivers Licenses  A new identity theft service launched on the dark web this week is selling digital scans of more than 153 million drivers licenses from people in the United States and Canada. Based on interviews with individuals whose licenses are available for purchase on this service, it appears to be siphoning images collected by a widely-used identity verification company based in Louisiana. KrebsOnSecurity also has learned that the New Orleans field office of the Federal Bureau of Investigation (FBI) today launched an official inquiry into the source of the images.]]></description>
<dc:subject>a little sunshine data breaches the coming storm web fraud 2.0 cybera decryptads exploit hertz idscan.net jillian kossman larry baldwin nexus</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:1fa57ee9e926/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:data"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:cybera"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:decryptads"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:idscan.net"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:jillian"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:kossman"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:larry"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:baldwin"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:nexus"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://blog.aheadcrm.co.nz/2026/08/gartner-group-lawmaker-judge-and.html">
    <title>Gartner Group: Lawmaker, Judge and Executioner?</title>
    <dc:date>2026-09-08T01:04:10+00:00</dc:date>
    <link>https://blog.aheadcrm.co.nz/2026/08/gartner-group-lawmaker-judge-and.html</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Gartner Group: Lawmaker, Judge and Executioner? - by @twieberneit CRM, social CRM, CX, digital disruption, customer experience, customer engagement, customer service, IoT, AI, MachineLearning, bots, chatbots, AI, gen "Re-weight the deleted criteria yourself

If you sell through partners, PRM still matters to you even though it no longer matters to the MQ. Same for proposal and quote, collaboration and guided selling. Gartner's criteria are Gartner's; your requirements are yours. Them not being assessed merely means that they are not shiny enough.
Treat the cautions as a forward roadmap

Cautions have predicted the following year's criteria three cycles running. Ask your shortlist vendors directly what they are doing about theirs, especially where they become interesting to you."]]></description>
<dc:subject>crm gartner hubspot microsoft oracle salesforce sap sugarai</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:ab25d6da172d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:crm"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:gartner"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:hubspot"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:microsoft"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:oracle"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:salesforce"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:sap"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:sugarai"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://venturebeat.com/security/stolen-claude-session-cookies-can-reach-corporate-gmail-through-grants-no-it-admin-can-revoke">
    <title>Vercel Security Checkpoint</title>
    <dc:date>2026-09-08T00:59:09+00:00</dc:date>
    <link>https://venturebeat.com/security/stolen-claude-session-cookies-can-reach-corporate-gmail-through-grants-no-it-admin-can-revoke</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Stolen Claude sessions can reach corporate Gmail - by @louiscolumbus  "Infostealers harvested Claude session cookies and replayed them past 2FA, and some hijacked accounts held standing access into corporate Gmail and Drive."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:b9738ad63e4c/</dc:identifier>
</item>
<item rdf:about="https://upperedge.com/system-integrators/the-agentic-ai-proposal-in-front-of-you-is-also-your-sis-survival-plan/">
    <title>SI Proposals Reflect Their Business Pressures, Not Just Yours</title>
    <dc:date>2026-09-08T00:59:08+00:00</dc:date>
    <link>https://upperedge.com/system-integrators/the-agentic-ai-proposal-in-front-of-you-is-also-your-sis-survival-plan/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[The Agentic AI Proposal in Front of You Is Also Your SI’s Survival Plan - via @UpperEdge Understand why SIs propose what they do. Learn to decode SI incentives and negotiate better commercial terms in your AI transformation. "That is why predictions that the industry will simply move from labor pricing to outcome pricing feel too clean. Strategically, most large providers would like to escape the direct relationship between revenue and headcount. Analyst research is increasingly telling them to productize intellectual property, build agentic platforms, sell reusable capabilities, create managed services and price more work around outputs and outcomes.  

But competitively, labor remains one of the simplest weapons available. If growth slows, utilization falls or a strategic client is at stake, an SI can still put talented people into the market at an aggressive rate. Those people can also be materially more productive because they are using AI behind the scenes."]]></description>
<dc:subject>system integrators agentic ai transformation commercial terms contract negotiation it services advisory outcome pricing si systems integrator risk vendor managem</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:248cc8defa6f/</dc:identifier>
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</item>
<item rdf:about="https://arstechnica.com/security/2026/08/claude-codex-and-hermes-installed-unowned-code-inside-corporate-networks/">
    <title>Claude, Codex, and Hermes installed unowned code inside corporate networks - Ars Technica</title>
    <dc:date>2026-09-08T00:29:05+00:00</dc:date>
    <link>https://arstechnica.com/security/2026/08/claude-codex-and-hermes-installed-unowned-code-inside-corporate-networks/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Claude, Codex, and Hermes installed unowned code inside corporate networks 227 install commands were found in corporate docs pointing at code nobody owns. "Documentation files on more than 100 websites are referencing potentially dangerous executable content that gets installed automatically when visited by many AI agents. A few dozen companies, some of them Fortune 500s, are among those that executed proof-of-concept code. At least one misconfigured site is directing visitors, human or AI, to live malware.

The potentially dangerous content is in llms.txt and llms-full.txt files, an emerging convention websites employ to provide machine-readable summaries of the site’s content and its high-level structure. These files are the AI equivalent of the robots.txt standard that instructs search engines how to index the site’s content. Google Lighthouse, a tool for helping web developers, has more here. Correctly configured llms.txt and llms-full.txt files for Cloudflare are here and here."]]></description>
<dc:subject>aa - diginomica</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:dc3e84d0cee9/</dc:identifier>
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</item>
<item rdf:about="https://garymarcus.substack.com/p/sad-to-see-jensen-huang-claim-that?isFreemail=true&amp;post_id=214490216&amp;publication_id=888615&amp;r=1knkg0&amp;triedRedirect=true">
    <title>Sad to see Jensen Huang claim that AGI has arrived, with no evidence and no definitions</title>
    <dc:date>2026-09-07T00:09:37+00:00</dc:date>
    <link>https://garymarcus.substack.com/p/sad-to-see-jensen-huang-claim-that?isFreemail=true&amp;post_id=214490216&amp;publication_id=888615&amp;r=1knkg0&amp;triedRedirect=true</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Sad to see Jensen Huang claim that AGI has arrived, with no evidence and no definitions Declaring victory without a definition simply muddies the waters]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:ee5264a41532/</dc:identifier>
</item>
<item rdf:about="https://jonerp.podbean.com/e/enterprise-month-in-review-fall-event-survival-bs-detector-special/">
    <title>Enterprise Month in Review - fall event survival - BS Detector special | Busting the omnichannel - enterprise hacks and chats</title>
    <dc:date>2026-09-06T08:59:12+00:00</dc:date>
    <link>https://jonerp.podbean.com/e/enterprise-month-in-review-fall-event-survival-bs-detector-special/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Enterprise Month in Review - fall event survival - BS Detector special Enterprise Month in Review - fall event survival - BS Detector special https://ift.tt/XTjKmx5 Enterprise Month in Review - fall event survival - BS Detector special

https://ift.tt/XTjKmx5

Yep, the silly season is upon us.... time to polish thos BS detectors!  Get ready to decode over-the-top AI keynote messaging. Brian and Jon have your survival guide ready! Each will reveal the questions customers should be pressing, and how to get the most insights with the least event friction! We'll also be picking our top underrated stories of the month. As usual, Brian will have his infamous slide deck - bring your savviest and snarkiest commentary. Note: to check the slides or video (re)action, you can see the video replay on YouTube at https://www.youtube.com/live/McdDj1G9ZUU.

via Busting the omnichannel - enterprise hacks and chats https://ift.tt/7N8PKUk

September 6, 2026 at 04:53AM]]></description>
<dc:subject>IFTTT Busting the omnichannel - enterprise hacks and chats</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:492b02867649/</dc:identifier>
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</item>
<item rdf:about="https://jonerp.podbean.com/e/have-executives-lost-the-ai-plot-2026-trends-gut-check-a-crmkonvos-crossover/">
    <title>Have executives lost the AI plot? 2026 trends gut check - a CRMKonvos crossover | Busting the omnichannel - enterprise hacks and chats</title>
    <dc:date>2026-09-06T08:34:17+00:00</dc:date>
    <link>https://jonerp.podbean.com/e/have-executives-lost-the-ai-plot-2026-trends-gut-check-a-crmkonvos-crossover/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Have executives lost the AI plot? 2026 trends gut check - a CRMKonvos crossover Have executives lost the AI plot? 2026 trends gut check - a CRMKonvos crossover https://ift.tt/S2HM6Xm Have executives lost the AI plot? 2026 trends gut check - a CRMKonvos crossover

https://ift.tt/S2HM6Xm

*** note - the podcast starts 30 seconds into this file *** - In late August, Jon returned to the CRMKonvos hot seat for an open discussion of what's working in enterprise AI, and what's not. Top of the agenda: what about the gap between high performing enterprises, and all other AI adopters? Can it be closed? Why are enterprise CEOs often less clued into real AI success than the CIOs and CFOs that work for them? Why does the architecture around AI make such a difference? The audience had questions for Jon also - this sets up another great AI debate with Michael Wu on CRMKonvos in October. See the full CRMKonvos video collection on YouTube at https://www.youtube.com/@crmkonvos.

via Busting the omnichannel - enterprise hacks and chats https://ift.tt/7N8PKUk

September 6, 2026 at 04:22AM]]></description>
<dc:subject>IFTTT Busting the omnichannel - enterprise hacks and chats</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:99d373f138d7/</dc:identifier>
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</item>
<item rdf:about="https://diginomica.com/time-get-real-about-outcome-based-pricing-can-genpact-change-ai-risk-reward-equation-customers">
    <title>Time to get real about outcome-based pricing - can Genpact change the AI risk-reward equation for customers?</title>
    <dc:date>2026-09-04T07:19:33+00:00</dc:date>
    <link>https://diginomica.com/time-get-real-about-outcome-based-pricing-can-genpact-change-ai-risk-reward-equation-customers</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Time to get real about outcome-based pricing - can Genpact change the AI risk-reward equation for customers? Time to get real about outcome-based pricing - can Genpact change the AI risk-reward equation for customers? https://ift.tt/Kq6e9yO Time to get real about outcome-based pricing - can Genpact change the AI risk-reward equation for customers?

https://ift.tt/Kq6e9yO

We see tokenmaxxing stories all the time - but ROImaxxing? Not so much. Outcome-based pricing sounds like a sexy solution, but how do we mitigate risk? Genpact's AI leadership jolted me with a new approach, and it's gaining traction. Here's an illustrated view.

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

September 4, 2026 at 03:16AM]]></description>
<dc:subject>IFTTT Jon Reed – diginomica</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:65084fab2e1b/</dc:identifier>
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</item>
<item rdf:about="https://www.google.com/search?gs_lcrp=EgZjaHJvbWUyBggAEEUYOTIHCAEQIRigATIHCAIQIRigATIHCAMQIRigATIHCAQQIRigATIHCAUQIRigATIHCAYQIRifBTIHCAcQIRifBTIHCAgQIRifBTIHCAkQIRifBdIBCDgxMjVqMGo3qAIAsAIA&amp;ie=UTF-8&amp;oq=what%20is%20different%20about%20genesys%20cx&amp;q=what%20is%20different%20about%20genesys%20cx&amp;source=chrome.ob&amp;sourceid=chrome">
    <title>Google Search</title>
    <dc:date>2026-09-02T08:19:33+00:00</dc:date>
    <link>https://www.google.com/search?gs_lcrp=EgZjaHJvbWUyBggAEEUYOTIHCAEQIRigATIHCAIQIRigATIHCAMQIRigATIHCAQQIRigATIHCAUQIRigATIHCAYQIRifBTIHCAcQIRifBTIHCAgQIRifBTIHCAkQIRifBdIBCDgxMjVqMGo3qAIAsAIA&amp;ie=UTF-8&amp;oq=what%20is%20different%20about%20genesys%20cx&amp;q=what%20is%20different%20about%20genesys%20cx&amp;source=chrome.ob&amp;sourceid=chrome</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[what is different about genesys cx - Google Search]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:2ef5d3c81c58/</dc:identifier>
</item>
<item rdf:about="https://www.reddit.com/r/Rabbitr1/comments/1pxf318/comment/nwbb5of/">
    <title>www.reddit.com</title>
    <dc:date>2026-09-02T08:14:35+00:00</dc:date>
    <link>https://www.reddit.com/r/Rabbitr1/comments/1pxf318/comment/nwbb5of/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Rabbit r1 worth it? : r/Rabbitr1 The only time I use it is for 10 minutes after an update. Then I realize its useless and put it back on my desk.]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:1f081f71b478/</dc:identifier>
</item>
<item rdf:about="https://pharmaphorum.com/news/genpact-finds-18tn-trapped-ai-value">
    <title>Genpact finds $18tn in trapped AI value | pharmaphorum</title>
    <dc:date>2026-09-01T06:59:25+00:00</dc:date>
    <link>https://pharmaphorum.com/news/genpact-finds-18tn-trapped-ai-value</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Genpact finds $18tn in trapped AI value Genpact and analyst firm HFS Research recently published a new global study identifying four enterprise debts.]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:505fd1b4caab/</dc:identifier>
</item>
<item rdf:about="https://diginomica.com/enterprise-hits-and-misses-salesforce-and-workday-defuse-saaspocalypse-tokenomics-turning-point-and">
    <title>Enterprise hits and misses - Salesforce and Workday defuse the SaaSpocalypse, tokenomics is a turning point, and prompt injections are a drag</title>
    <dc:date>2026-08-31T18:44:21+00:00</dc:date>
    <link>https://diginomica.com/enterprise-hits-and-misses-salesforce-and-workday-defuse-saaspocalypse-tokenomics-turning-point-and</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Enterprise hits and misses - Salesforce and Workday defuse the SaaSpocalypse tokenomics is a turning point and prompt injections are a drag Enterprise hits and misses - Salesforce and Workday defuse the SaaSpocalypse, tokenomics is a turning point, and prompt injections are a drag https://ift.tt/3Ffu1mP Enterprise hits and misses - Salesforce and Workday defuse the SaaSpocalypse, tokenomics is a turning point, and prompt injections are a drag

https://ift.tt/3Ffu1mP

This week - Salesforce and Workday undermine the SaaSpocalypse with solid earnings and salty comments. Tokenomics is still a thing, but is it also an opportunity to shift? Prompt injections are a drag, but how can we make the most of our probabilistic agents? Your whiffs include the illusion of digital ownership.

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

August 31, 2026 at 02:35PM]]></description>
<dc:subject>IFTTT Jon Reed – diginomica</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:fb4b829ec56a/</dc:identifier>
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</item>
<item rdf:about="https://diginomica.com/time-it-stop-will-salesforces-claudeforce-tie-anthropic-be-final-nail-saaspocalypse-coffin">
    <title>&quot;Time for it to stop!&quot; - will Salesforce's Claudeforce tie-up with Anthropic be the final nail in the SaaSpocalypse coffin?</title>
    <dc:date>2026-08-31T07:44:30+00:00</dc:date>
    <link>https://diginomica.com/time-it-stop-will-salesforces-claudeforce-tie-anthropic-be-final-nail-saaspocalypse-coffin</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA["Time for it to stop!" - will Salesforce's Claudeforce tie-up with Anthropic be the final nail in the SaaSpocalypse coffin? A major new axis between Salesforce and Anthropic might just change the narrative once and for all.]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:7b8280e90756/</dc:identifier>
</item>
<item rdf:about="https://diginomica.com/how-trusted-data-helping-firefight-bad-ai-age-ordnance-survey">
    <title>How trusted data is helping to firefight bad in the AI age at Ordnance Survey</title>
    <dc:date>2026-08-31T07:29:26+00:00</dc:date>
    <link>https://diginomica.com/how-trusted-data-helping-firefight-bad-ai-age-ordnance-survey</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[How trusted data is helping to firefight bad in the AI age at Ordnance Survey In an era of instant data, AI prompts, and plausible sounding answers, assured data could mean the difference between success and failure, suggests Ordnance Survey CEO Nick Bolton.]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:96ce4181f36f/</dc:identifier>
</item>
<item rdf:about="https://www.constellationr.com/insights/news/quantum-computing-where-we-stand-2026">
    <title>Quantum computing: Where we stand in 2026 | Constellation Research</title>
    <dc:date>2026-08-31T04:19:33+00:00</dc:date>
    <link>https://www.constellationr.com/insights/news/quantum-computing-where-we-stand-2026</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Quantum computing: Where we stand in 2026 - by @ldignan Award-winning, Silicon Valley-based research and advisory firm focused on helping early adopters harness the transformative power of exponential technology. "Full stack platforms are replacing processor-driven themes. Companies are looking to build quantum ecosystems.
Commercialization is progressing but it is uneven. Quantum computing revenue depends on government customers and experimentation in key industries with defined use cases.
Sovereign quantum computing is seen as critical and vendors are looking at supply chain control and manufacturing as strategic assets.
Applications are focused on optimization and scientific workloads.
Hybrid deployments combining quantum computing, AI and supercomputing are emerging. "]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:9ec81cf97bbb/</dc:identifier>
</item>
<item rdf:about="https://corporate-innovation.co/2026/08/27/the-enterprise-capital-gate-part-1/">
    <title>Checking your browser...</title>
    <dc:date>2026-08-31T04:09:34+00:00</dc:date>
    <link>https://corporate-innovation.co/2026/08/27/the-enterprise-capital-gate-part-1/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[The Enterprise Capital Gate: Bringing venture discipline to the enterprise AI portfolio (Part 1)]]></description>
<dc:subject>ai stakeholder squeeze dashboard gps journey strategy enterprise capital gate</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:960b54fa6f34/</dc:identifier>
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</item>
<item rdf:about="https://upperedge.com/system-integrators/the-state-of-the-si-market-in-2026-ai-bookings-fixed-price-shifts-and-erp-delivery-gaps/">
    <title>Systems Integrator Market 2026: AI Bookings, Fixed-Price Shifts &amp; ERP Gaps</title>
    <dc:date>2026-08-31T04:09:33+00:00</dc:date>
    <link>https://upperedge.com/system-integrators/the-state-of-the-si-market-in-2026-ai-bookings-fixed-price-shifts-and-erp-delivery-gaps/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[The State of the SI Market in 2026: AI Bookings, Fixed-Price Shifts, and ERP Delivery Gaps - via @UpperEdge AI bookings are accelerating, but the gap between SI projections and real ERP delivery productivity remains wide. What enterprise buyers need to know about vendor selection in 2026. "Palantir is increasingly positioning itself in this space through its Foundry platform, which layers an AI-enabled ontology over existing ERP investments rather than replacing them. Its partnership with Accenture and Deloitte frames this explicitly as a way for organizations to “reimagine work and infuse AI while rationalizing existing technology”, without waiting for a full ERP go-live. It’s a legitimately different value proposition, and one that more ERP program sponsors are asking about. Data remediation is becoming the longest pole in the tent on ERP transformations, and it rarely gets the program budget it deserves at the outset. "]]></description>
<dc:subject>system integrators ai consulting erp fixed-price contracts procurement systems integration transformation vendor management</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:46bfc6749f0d/</dc:identifier>
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</item>
<item rdf:about="https://www.supplychainshaman.com/navigating-supply-chain-economic-downturns/">
    <title>Navigating Supply Chain Economic Downturns – Supply Chain Shaman</title>
    <dc:date>2026-08-31T04:09:32+00:00</dc:date>
    <link>https://www.supplychainshaman.com/navigating-supply-chain-economic-downturns/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Navigating Supply Chain Economic Downturns In 2007, the average company took six months to sense market shifts and adapt its supply chain. My estimate, based on work with clients, is that if a downturn happened today, the average company wo… "In discussions with supply chain leaders, most believe that the global stock market is overheated with AI spending. Just as we have forgotten the lessons of the pandemic, few leaders remember the political drama of large stock market drops on the supply chain.

Supply chain architectures aren’t built to plan easily when there are knowns and unknowns. The traditional focus is optimization of known inputs to known outputs. One of the best sources of demand data comes from transportation reporting. Here are some current trends.

Ships sitting in the Strait of Hormuz tie up global capacity. The rise of global shipping volumes amid geopolitical friction—especially in Asia—has created trade imbalances. Ocean shipping reliability now hovers around 60-65%, down from pre-pandemic norms of 70-80%. Roughly 8% of global ocean container ship capacity is now unavailable due to shipping inefficiencies. As inefficiencies rise, costs escalate and lead times are more variable. Ocean container equipment could easily become a constraint. "]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:c2c6cc542f73/</dc:identifier>
</item>
<item rdf:about="http://blog.aheadcrm.co.nz/2026/08/the-inference-paradox-tokens-got-1000x.html">
    <title>The Inference Paradox: Tokens Got 1,000x Cheaper and Your AI Bill Went Up</title>
    <dc:date>2026-08-31T00:19:11+00:00</dc:date>
    <link>http://blog.aheadcrm.co.nz/2026/08/the-inference-paradox-tokens-got-1000x.html</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[The Inference Paradox: Tokens Got 1,000x Cheaper and Your AI Bill Went Up - by @twieberneit CRM, social CRM, CX, digital disruption, customer experience, customer engagement, customer service, IoT, AI, MachineLearning, bots, chatbots, AI, gen "Fu and colleagues gave the effect a name in Not All Tokens Are Equal: token inflation, the gap between advertised per-token pricing and what a workflow actually consumes once it retries what it got wrong. They measure inflation as high as 4.25x on multi-hop question answering, and they show that FrugalGPT, one of the standard cost-aware routers, underestimates true expense by more than 2x on hard tasks. This mechanism is what both drives the cost and nobody prices in: a failed reasoning chain is not only a wasted call, it is a call that gets re-sent in full, with history attached, to a more expensive model."]]></description>
<dc:subject>agentic ai agents customer experience strategy</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:23195907ab51/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:agentic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:agents"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:customer"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:experience"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:strategy"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://blog.aheadcrm.co.nz/2026/08/the-enterprise-ai-intent-gap.html">
    <title>The Enterprise AI Intent Gap</title>
    <dc:date>2026-08-31T00:19:11+00:00</dc:date>
    <link>http://blog.aheadcrm.co.nz/2026/08/the-enterprise-ai-intent-gap.html</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[The Enterprise AI Intent Gap - video event summary from @twieberneit CRM, social CRM, CX, digital disruption, customer experience, customer engagement, customer service, IoT, AI, MachineLearning, bots, chatbots, AI, gen "Jon opened with numbers rather than opinion, a habit more of us should copy. McKinsey's recent work on AI measurement found that nearly eight in ten companies are using generative AI in some capacity, while around sixty percent report not seeing enterprise-wide EBIT impact from those programs. The gap between activity and impact is apparently not closing. Instead, it seems to be widening. A small group of over-performers is automating end-to-end workflows inside specific domains and getting results, and even they argue about what to measure and how to attribute the improvement."]]></description>
<dc:subject>agentic ai crmkonvos enterprise software strategy</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:497ca4f01f38/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:agentic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:crmkonvos"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:enterprise"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:software"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:strategy"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://venturebeat.com/security/prompt-injection-ranks-no-1-with-owasp-and-no-12-in-the-incident-record-the-attack-itself-is-invisible-to-a-scan">
    <title>venturebeat.com</title>
    <dc:date>2026-08-31T00:14:14+00:00</dc:date>
    <link>https://venturebeat.com/security/prompt-injection-ranks-no-1-with-owasp-and-no-12-in-the-incident-record-the-attack-itself-is-invisible-to-a-scan</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Prompt injection ranks No. 1 with OWASP and No. 12 in the incident record. The attack itself is invisible to a scan. by @louiscolumbus  "Prompt injection is OWASP's No. 1 LLM risk, but ranks No. 12 in 6,639 real incidents — an independent analysis finds no statistically detectable agreement."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:8273854a5c41/</dc:identifier>
</item>
<item rdf:about="https://upperedge.com/artificial-intelligence/the-ai-proposal-trap-how-to-evaluate-si-proposals-when-vendors-optimize-for-machines/">
    <title>AI Proposal Evaluation: How to Avoid Vendor AI Optimization Traps</title>
    <dc:date>2026-08-31T00:14:14+00:00</dc:date>
    <link>https://upperedge.com/artificial-intelligence/the-ai-proposal-trap-how-to-evaluate-si-proposals-when-vendors-optimize-for-machines/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[The AI Proposal Trap: How to Evaluate SI Proposals When Vendors Optimize for Machines - via @UpperEdge  "I recently encountered the same problem in a different form while reviewing an implementation SOW. The client had specifically requested contractual “off-ramps” because it wanted the ability to exit the engagement at defined points if the program was not working. When I asked an LLM to perform a general review of the agreement, it highlighted the off-ramps as a significant advantage for the client and characterized them as providing meaningful flexibility. On the surface, that conclusion made sense. Off-ramps sound client-friendly.

The problem appeared when we examined how the provisions actually worked. The conditions surrounding the off-ramps made them extremely difficult to exercise in practice. More importantly, the provisions needed to be evaluated against the broader termination rights a client would ordinarily expect in a major engagement, including termination-for-convenience rights that had effectively been constrained by the structure."]]></description>
<dc:subject>artificial intelligence ai proposal analysis evaluation evaluating ai-enhanced proposals llm vendor procurement bias rfp response si sys</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:68116f69fee8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:artificial"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:intelligence"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:analysis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:evaluation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:evaluating"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:ai-enhanced"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:proposals"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:llm"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:procurement"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:bias"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:rfp"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:response"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:si"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:sys"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.schneier.com/blog/archives/2026/08/ai-doesnt-mean-the-end-of-mathematics-at-least-not-yet.html">
    <title>Checking your browser...</title>
    <dc:date>2026-08-30T22:39:03+00:00</dc:date>
    <link>https://www.schneier.com/blog/archives/2026/08/ai-doesnt-mean-the-end-of-mathematics-at-least-not-yet.html</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[AI Doesn’t Mean the End of Mathematics—at Least Not Yet  "This speaks to a more general limitation of current AI systems. They are creative in the sense that they can recombine existing ideas in novel ways. But they are not creative in others: they have not yet developed conceptually new theories or structures. And while they have larger working memories than humans do, know more about more different things than any particular human does, and can process information faster than humans, can, true novelty is still largely beyond their reach."]]></description>
<dc:subject>uncategorized ai llm mathematics</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:b06dc6a9557a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:uncategorized"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:llm"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:mathematics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://diginomica.com/how-john-boos-co-escaped-erp-customization-trap-and-built-perpetual-platform-instead-sap-cloud-erp">
    <title>How John Boos &amp; Co. escaped the ERP customization trap, and built a 'perpetual platform' instead - an SAP cloud ERP story</title>
    <dc:date>2026-08-27T08:09:32+00:00</dc:date>
    <link>https://diginomica.com/how-john-boos-co-escaped-erp-customization-trap-and-built-perpetual-platform-instead-sap-cloud-erp</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[How John Boos & Co. escaped the ERP customization trap and built a 'perpetual platform' instead - an SAP cloud ERP story How John Boos & Co. escaped the ERP customization trap, and built a 'perpetual platform' instead - an SAP cloud ERP story https://ift.tt/kpSOCIc How John Boos & Co. escaped the ERP customization trap, and built a 'perpetual platform' instead - an SAP cloud ERP story

https://ift.tt/kpSOCIc

Classic ERP systems seem flexible - until customizations impede change. Britt East, CIO of John Boos & Co., faced those problems head on. The business had ambitious goals, but could their ERP platform keep up? Here's how East and his COO made their business case, with a different kind of cloud ERP move.

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

August 27, 2026 at 04:04AM]]></description>
<dc:subject>IFTTT Jon Reed – diginomica</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:a4d16fe60bba/</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:–"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:diginomica"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.youtube.com/watch?v=McdDj1G9ZUU">
    <title>- YouTube</title>
    <dc:date>2026-08-26T19:09:45+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=McdDj1G9ZUU</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Enterprise Month in Review - fall event survival - BS Detector special - video replay with @jonerp + @brianssommer Enterprise Month in Review - fall event survival - BS Detector special "Yep, the silly season is upon us.... time to polish thos BS detectors! Get ready to decode over-the-top AI keynote messaging. Brian and Jon have your survival guide ready! Each will reveal the questions customers should be pressing, and how to get the most insights with the least event friction! We'll also be picking our top underrated stories of the month. As usual, Brian will have his infamous slide deck - bring your savviest and snarkiest commentary. We may even bring a surprise guest on cam, to help us all get ready for what pitfalls lie ahead..."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:ffa1c1f00cf9/</dc:identifier>
</item>
<item rdf:about="https://www.youtube.com/watch?v=_uKmsWQ9EQw">
    <title>Enterprise Month in Review - fall event survival - BS Detector special 📱 - YouTube</title>
    <dc:date>2026-08-26T19:09:43+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=_uKmsWQ9EQw</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Enterprise Month in Review - fall event survival - BS Detector special Enterprise Month in Review - fall event survival - BS Detector special 📱 https://www.youtube.com/watch?v=_uKmsWQ9EQw Enterprise Month in Review - fall event survival - BS Detector special 📱

https://www.youtube.com/watch?v=_uKmsWQ9EQw

Yep, the silly season is upon us.... time to polish thos BS detectors!  Get ready to decode over-the-top AI keynote messaging. Brian and Jon have your survival guide ready! Each will reveal the questions customers should be pressing, and how to get the most insights with the least event friction! We'll also be picking our top underrated stories of the month. As usual, Brian will have his infamous slide deck - bring your savviest and snarkiest commentary. We may even bring a surprise guest on cam, to help us all get ready for what pitfalls lie ahead...

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

August 26, 2026 at 02:57PM]]></description>
<dc:subject>IFTTT Jon Reed of diginomica</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:58316250b8c5/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:IFTTT"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:Jon"/>
	<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://diginomica.com/enterprise-hits-and-misses-agents-need-meaning-not-just-data-anthropic-grapples-model-pricing-and">
    <title>Enterprise hits and misses - agents need meaning, not just data. Anthropic grapples with model pricing, and retailers get an economic gut check.</title>
    <dc:date>2026-08-24T07:29:15+00:00</dc:date>
    <link>https://diginomica.com/enterprise-hits-and-misses-agents-need-meaning-not-just-data-anthropic-grapples-model-pricing-and</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Enterprise hits and misses - agents need meaning not just data. Anthropic grapples with model pricing and retailers get an economic gut check. Enterprise hits and misses - agents need meaning, not just data. Anthropic grapples with model pricing, and retailers get an economic gut check.  https://ift.tt/b9E2wM1 Enterprise hits and misses - agents need meaning, not just data. Anthropic grapples with model pricing, and retailers get an economic gut check. 

https://ift.tt/b9E2wM1

This week - agents need meaning - and proper, contained actions. But how do we get there? Anthropic gets a taste of frontier model pricing backlash, and retailers run into macro-economic crosswinds. Oh, and the best enterprise phrase of the year is coined. Your whiffs are here, and so am I.

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

August 24, 2026 at 03:16AM]]></description>
<dc:subject>IFTTT Jon Reed – diginomica</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:0c3d7333041e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:IFTTT"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:Jon"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:Reed"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:–"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:diginomica"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://redmonk.com/kholterhoff/2026/08/13/the-artifact-is-free-assurance-is-the-product/">
    <title>The Artifact is Free, Assurance is the Product – console.log()</title>
    <dc:date>2026-08-23T22:59:01+00:00</dc:date>
    <link>https://redmonk.com/kholterhoff/2026/08/13/the-artifact-is-free-assurance-is-the-product/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[The Artifact is Free, Assurance is the Product - via @RedMonk Historically, registries answered a simple question: “Can I download this package?” Today’s tooling increasingly asks a different question: “Should I and how?” In the first post in this series, Modern Software Registries are a Trust Service,  I traced how npm, PyPI, RubyGems, crates.io, and NuGet all converged on the same response to a year of "In the first post in this series, Modern Software Registries are a Trust Service,  I traced how npm, PyPI, RubyGems, crates.io, and NuGet all converged on the same response to a year of supply chain attacks, issuing short-lived credentials tied to verified build pipelines rather than trusting long-lived tokens sitting in CI. My conclusion there was that registries are becoming policy engines as much as distribution systems.

This post is about what happens when somebody works out how to charge for that. My argument begins by looking at hardened container images, where the trust-service model is furthest along. I then trace the same model in extension registries, where the Eclipse Foundation now sells an SLA on Open VSX and Microsoft’s Visual Studio Marketplace restricts extension use to Microsoft products. I argue the pattern across these markets is the same: the artifact is free, assurance is the product."]]></description>
<dc:subject>ai security</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:474af3c4ca9a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:security"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.constellationr.com/insights/news/birth-data-inc">
    <title>The birth of Data Inc.? | Constellation Research</title>
    <dc:date>2026-08-23T22:59:00+00:00</dc:date>
    <link>https://www.constellationr.com/insights/news/birth-data-inc</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[The birth of Data Inc.? - by @ldignan Award-winning, Silicon Valley-based research and advisory firm focused on helping early adopters harness the transformative power of exponential technology. "Enterprises won't sell their data because it's their competitive advantage--or so they think. The common thinking is that every enterprise will leverage its own data to train open models for agentic AI. Now data is the business moat, but it's highly likely that there will be enterprises that don't have the talent, skills or business acumen to leverage their own datasets. For now, companies are trying to follow the Data Inc. approach, which was outlined in 2023 by Constellation Research CEO R "Ray" Wang. "]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:e391f99b712e/</dc:identifier>
</item>
<item rdf:about="https://www.constellationr.com/insights/news/meet-data-inc-and-what-post-ai-company-looks">
    <title>Meet Data Inc. and what a post AI company looks like | Constellation Research</title>
    <dc:date>2026-08-23T22:54:07+00:00</dc:date>
    <link>https://www.constellationr.com/insights/news/meet-data-inc-and-what-post-ai-company-looks</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Meet Data Inc. and what a post AI company looks like Award-winning, Silicon Valley-based research and advisory firm focused on helping early adopters harness the transformative power of exponential technology.]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:30156fe6d6d8/</dc:identifier>
</item>
<item rdf:about="https://34ab012c-f200-4706-84a6-910108839ea7.libsyn.com/executive-intelligence-can-we-build-an-agentic-system-of-work-oracles-chris-leone-on-the-real-potential-of-enterprise-ai">
    <title>Executive Intelligence - a diginomica podcast series</title>
    <dc:date>2026-08-23T22:34:20+00:00</dc:date>
    <link>https://34ab012c-f200-4706-84a6-910108839ea7.libsyn.com/executive-intelligence-can-we-build-an-agentic-system-of-work-oracles-chris-leone-on-the-real-potential-of-enterprise-ai</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Executive Intelligence @diginomica podcast - can we build an agentic system of work? Oracle's Chris Leone on the real potential of enterprise AI - with @jonerp Enterprise AI is in the pressure cooker: questionable results on the one hand, rising token costs on the other. But enterprise vendors like Oracle are pressing hard down a different path to value - one that reduces model costs and breaks away from frontier model hype. Can Oracle build a "system of outcomes"? And, speaking of building, can customers and partners build on Oracle's SaaS and AI foundations? In our latest Executive Intelligence podcast, Jon Reed airs out his concerns on enterprise AI, and Leone makes his case. "Enterprise AI is in the pressure cooker: questionable results on the one hand, rising token costs on the other. But enterprise vendors like Oracle are pressing hard down a different path to value - one that reduces model costs and breaks away from frontier model hype. Can Oracle build a "system of outcomes"? And, speaking of building, can customers and partners build on Oracle's SaaS and AI foundations? In our latest Executive Intelligence podcast, Jon Reed airs out his concerns on enterprise AI, and Leone makes his case."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:1282a86ccdfd/</dc:identifier>
</item>
<item rdf:about="https://spectrum.ieee.org/ai-agent-benchmark">
    <title>AI Agent Benchmarks Need to Measure User Intent - IEEE Spectrum</title>
    <dc:date>2026-08-23T22:34:20+00:00</dc:date>
    <link>https://spectrum.ieee.org/ai-agent-benchmark</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Why AI Needs a "Genie Coefficient" Proposing a new metric for whether AI does what you actually want "AI researcher Simon Willison spent two days with Anthropic’s Fable AI, and called it “relentlessly proactive.” For example, he asked it to track down a stray scroll bar in a web app. He came back to find it had opened browsers, written its own screenshot tooling, created its own page to re-create the bug, and stood up a local web server to collect measurements. It found the bug and, along the way, did many surprising things he never asked it to do. And we are seeing similar behavior with all recent AI models when combined with flexible harnesses.

This kind of behavior could easily go off the rails. Tell an AI agent to book you a flight and, finding the airline’s site says sold out, it might break into the booking database and force a reservation. Ask it to schedule a meeting and it might snoop your password to access your calendar. Tell it to save money on your phone plan and it might cancel the plan outright, or scam someone else into paying the bill."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:6a3adb079327/</dc:identifier>
</item>
<item rdf:about="https://upperedge.com/artificial-intelligence/how-to-evaluate-transformation-leaders-for-ai-enabled-projects-why-experience-alone-predicts-nothing/">
    <title>The Next Gen of SI Transformation Leaders May Have Less Experience and Better Judgment</title>
    <dc:date>2026-08-23T22:29:29+00:00</dc:date>
    <link>https://upperedge.com/artificial-intelligence/how-to-evaluate-transformation-leaders-for-ai-enabled-projects-why-experience-alone-predicts-nothing/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[How to Evaluate Transformation Leaders for AI-Enabled Projects: Why Experience Alone Predicts Nothing - via @UpperEdge Years of experience don't predict judgment in AI transformations. Learn the four procurement questions to assess SI team capability and readiness for AI-enabled programs. "The concern that AI could weaken the next generation of professional expertise is real, but the outcome is not predetermined. If firms simply automate the work and allow the developmental experiences to disappear, the experience base may decline. If they treat AI as a way to manufacture realistic experience, compress learning cycles, and test judgment before people are placed into roles where clients bear the consequences, the opposite may happen. We may end up developing strong professionals faster than we ever have before."]]></description>
<dc:subject>artificial intelligence digital transformation ai-enabled erp transformations judgment development program management si capability assessment procurement system integrator evalua</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:7ffd1507cecc/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:artificial"/>
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</item>
<item rdf:about="https://venturebeat.com/security/four-of-five-enterprises-that-secured-ai-agent-identities-still-cant-contain-one-that-goes-rogue">
    <title>Vercel Security Checkpoint</title>
    <dc:date>2026-08-23T19:54:11+00:00</dc:date>
    <link>https://venturebeat.com/security/four-of-five-enterprises-that-secured-ai-agent-identities-still-cant-contain-one-that-goes-rogue</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Agent identity is solved. Containment isn't - by @louiscolumbus  "Four of five enterprises that secured AI agent identities never built isolation to contain a compromised agent, VentureBeat's July Pulse survey found."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:b6c579ba5bbd/</dc:identifier>
</item>
<item rdf:about="http://blog.aheadcrm.co.nz/2026/08/the-customer-journey-illusion-stop.html">
    <title>The Customer Journey Illusion: Stop Mapping and Start Enabling</title>
    <dc:date>2026-08-23T19:54:10+00:00</dc:date>
    <link>http://blog.aheadcrm.co.nz/2026/08/the-customer-journey-illusion-stop.html</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[The Customer Journey Illusion: Stop Mapping and Start Enabling - by @twieberneit CRM, social CRM, CX, digital disruption, customer experience, customer engagement, customer service, IoT, AI, MachineLearning, bots, chatbots, AI, gen "Now we enter the era of Artificial Intelligence – again. The hype is deafening. We are told that Generative AI and LLM technology will revolutionize customer service. We are told that chatbots (err, agents) connected to a RAG architecture will flawlessly guide customers through their issues. Let me be absolutely clear. If your underlying data architecture is a mess, an LLM will simply hallucinate solutions based on that mess. Using RAG to query a broken knowledge base will just give you highly confident, grammatically correct wrong answers. Best regards from Air Canada!

AI is not magic. It is a tool that accelerates whatever processes you have in place. If your process is designed to ignore five-sixths of the customer's reality, AI will just ignore them faster. True innovation in CX requires a solid architectural foundation. You need a unified data layer that provides a single, accurate view of the customer. You need integration across your entire technology stack. Your CRM must talk to your billing system. The billing system must talk to your support platform. Without this integration, your AI initiatives are doomed to fail."]]></description>
<dc:subject>crmkonvos customer experience journey management mapping strategy</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:7df8e3a369b4/</dc:identifier>
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</item>
<item rdf:about="https://www.pewresearch.org/short-reads/2026/08/18/young-adults-in-the-us-are-increasingly-wary-of-ai-concerned-it-will-take-jobs/">
    <title>Young US adults are increasingly wary of AI, concerned it will take jobs | Pew Research Center</title>
    <dc:date>2026-08-23T19:54:09+00:00</dc:date>
    <link>https://www.pewresearch.org/short-reads/2026/08/18/young-adults-in-the-us-are-increasingly-wary-of-ai-concerned-it-will-take-jobs/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Young adults in the U.S. are increasingly wary of AI, concerned it will take jobs About half of Americans say they're more concerned than excited about AI, and young adults' concern is rising. "For the first time, a majority of adults under 30 (55%) now say they’re more concerned than excited about AI. About one-in-ten say they’re more excited than concerned, and roughly a third feel both equally. Their concern is now on par with those in their 30s and 40s, and those 65 and up."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:b97d31b2d0d4/</dc:identifier>
</item>
<item rdf:about="https://andvijaysays.com/2026/08/08/the-verification-era-what-happens-when-code-becomes-abundant/">
    <title>Checking your browser...</title>
    <dc:date>2026-08-23T19:39:27+00:00</dc:date>
    <link>https://andvijaysays.com/2026/08/08/the-verification-era-what-happens-when-code-becomes-abundant/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[The Verification Era: What Happens When Code Becomes Abundant - by @vijayasankarv The prevailing narrative in tech assumes AI is making software engineers dramatically more productive. That may hold true if you only measure code generation, but it falls apart when you look at so… "AI-generated code often looks immaculate. It passes linting, features clean syntax, and arrives with unit tests attached. But slop debt is dangerous precisely because it is invisible—it satisfies basic automated checks while embedding subtle semantic errors or invariant violations that only emerge under operational pressure.

Even when the output is well-structured, generation scales dramatically faster than human comprehension. An agent can produce thousands of lines of implementation in minutes, but an organization still requires human judgment, domain context, and operational experience to verify that those lines correctly represent business invariants."]]></description>
<dc:subject>uncategorized</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:7bab28e2aa62/</dc:identifier>
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<item rdf:about="https://cryptobriefing.com/anthropic-ai-model-cheaper-competition/">
    <title>Anthropic's AI model struggles to gain users amid cheaper competition</title>
    <dc:date>2026-08-23T19:34:08+00:00</dc:date>
    <link>https://cryptobriefing.com/anthropic-ai-model-cheaper-competition/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Anthropic's AI model struggles to gain users amid cheaper competition Anthropic's flagship Claude AI models face user migration to DeepSeek and other cheaper alternatives, forcing price cuts and a mid-tier model "This pattern is repeating across the industry. Enterprises are increasingly adopting “model routing” strategies, where they direct simple tasks to cheap models and reserve expensive ones for only the most complex operations. The net effect: less traffic and less revenue flowing to premium offerings like Anthropic’s flagship products.

Anthropic’s counter-move
Between June and August 2026, the company launched Claude Opus 5, a mid-tier model priced at $5 per million input tokens and $25 per million output tokens. Average prices paid for Anthropic’s models have dropped by nearly 25% since mid-July."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:fe87cd72a9c1/</dc:identifier>
</item>
<item rdf:about="https://business.columbia.edu/insights/ai-widening-gap-between-high-and-low-performers">
    <title>Just a moment...</title>
    <dc:date>2026-08-22T17:04:26+00:00</dc:date>
    <link>https://business.columbia.edu/insights/ai-widening-gap-between-high-and-low-performers</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[AI is widening the gap between high and low performers | Columbia Business School New research on small business owners in Kenya finds that getting value from AI depends not just on access, but on how users evaluate and apply its advice.]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:4c2101b730f9/</dc:identifier>
</item>
<item rdf:about="https://www.mckinsey.com/capabilities/quantumblack/our-insights/from-promise-to-impact-how-companies-can-measure-and-realize-the-full-value-of-ai#/">
    <title>www.mckinsey.com</title>
    <dc:date>2026-08-22T16:49:34+00:00</dc:date>
    <link>https://www.mckinsey.com/capabilities/quantumblack/our-insights/from-promise-to-impact-how-companies-can-measure-and-realize-the-full-value-of-ai#/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[From promise to impact: How companies can measure—and realize—the full value of AI This AI measurement framework provides a structured approach to AI impact assessment across adoption, operations, and financial results.]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:5f06cc140266/</dc:identifier>
</item>
<item rdf:about="https://diginomica.com/executive-intelligence-can-we-build-agentic-system-work-oracles-chris-leone-why-enterprise-ai-can">
    <title>Executive Intelligence - can we build an agentic system of work? Oracle's Chris Leone on why enterprise AI can (and should) be different</title>
    <dc:date>2026-08-19T14:19:36+00:00</dc:date>
    <link>https://diginomica.com/executive-intelligence-can-we-build-agentic-system-work-oracles-chris-leone-why-enterprise-ai-can</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Executive Intelligence - can we build an agentic system of work? Oracle's Chris Leone on why enterprise AI can (and should) be different Executive Intelligence - can we build an agentic system of work? Oracle's Chris Leone on why enterprise AI can (and should) be different https://ift.tt/mPgaXiv Executive Intelligence - can we build an agentic system of work? Oracle's Chris Leone on why enterprise AI can (and should) be different

https://ift.tt/mPgaXiv

Enterprise AI is in the pressure cooker: questionable results on the one hand, rising token costs on the other. But enterprise vendors like Oracle are pressing hard down a different path to value - one that reduces model costs, and breaks away from frontier model hype. Can Oracle build a "system of outcomes"? Time to air it out, via our latest Executive Intelligence podcast. 

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

August 19, 2026 at 10:17AM]]></description>
<dc:subject>IFTTT Jon Reed – diginomica</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:dd2ae454035a/</dc:identifier>
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<item rdf:about="https://futurism.com/artificial-intelligence/employees-long-days-before-ai-slop">
    <title>Employees Long for the Days Before the Workplace Filled Up With AI Slop</title>
    <dc:date>2026-08-06T16:34:26+00:00</dc:date>
    <link>https://futurism.com/artificial-intelligence/employees-long-days-before-ai-slop</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Employees Long for the Days Before the Workplace Filled Up With AI Slop According to a new survey, almost two thirds of respondents said they regularly long for their old, pre-AI working life.]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:a3188000885f/</dc:identifier>
</item>
<item rdf:about="https://tech.yahoo.com/ai/articles/workers-ai-promised-productivity-boost-113700865.html">
    <title>Workers say AI promised a productivity boost, but left them missing pre-AI office life</title>
    <dc:date>2026-08-06T16:34:25+00:00</dc:date>
    <link>https://tech.yahoo.com/ai/articles/workers-ai-promised-productivity-boost-113700865.html</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Workers say AI promised a productivity boost, but left them missing pre-AI office life Nearly half said AI is making work feel more monotonous and less worthwhile.]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:dc3565fa4faf/</dc:identifier>
</item>
<item rdf:about="https://diginomica.com/how-essity-transformed-their-b2b-e-commerce-platform-global-scale-sap-commerce-cloud-story">
    <title>How Essity transformed their B2B e-commerce platform on a global scale - an SAP Commerce Cloud story</title>
    <dc:date>2026-08-06T08:34:37+00:00</dc:date>
    <link>https://diginomica.com/how-essity-transformed-their-b2b-e-commerce-platform-global-scale-sap-commerce-cloud-story</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[How Essity transformed their B2B e-commerce platform on a global scale - an SAP Commerce Cloud story How Essity transformed their B2B e-commerce platform on a global scale - an SAP Commerce Cloud story https://ift.tt/kxGEzjH How Essity transformed their B2B e-commerce platform on a global scale - an SAP Commerce Cloud story

https://ift.tt/kxGEzjH

The tension between local deployments and global scale can land you in a quagmire of technical debt. Essity's CX transformation put their global e-commerce template to the test: could they change how B2B and B2C is done at scale? Here's why Essity chose SAP CX - and the results to date. 

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

August 6, 2026 at 04:25AM]]></description>
<dc:subject>IFTTT Jon Reed – diginomica</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:12ee4e557a63/</dc:identifier>
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</item>
<item rdf:about="https://www.trefis.com/stock/orcl/articles-v3/609882/could-oracle-go-bankrupt-really/2026-08-03">
    <title>Could Oracle Go Bankrupt – Really? | Trefis</title>
    <dc:date>2026-08-04T15:24:14+00:00</dc:date>
    <link>https://www.trefis.com/stock/orcl/articles-v3/609882/could-oracle-go-bankrupt-really/2026-08-03</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Could Oracle Go Bankrupt – Really? Is it truly possible that artificial intelligence, the very technological wave promised to unlock trillions in enterprise productivity, could end up upending Oracle (ORCL), the staid, unshakeable, fifty-year-old titan of relational enterprise databases? The company that has quietly powered global...]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:e1c0ad9604c3/</dc:identifier>
</item>
<item rdf:about="https://arxiv.org/abs/1801.00631">
    <title>[1801.00631] Deep Learning: A Critical Appraisal</title>
    <dc:date>2026-08-03T08:14:23+00:00</dc:date>
    <link>https://arxiv.org/abs/1801.00631</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Deep Learning: A Critical Appraisal Although deep learning has historical roots going back decades, neither the term "deep learning" nor the approach was popular just over five years ago, when the field was reignited by papers such... classic with the ten characteristics]]></description>
<dc:subject>ai - research classics</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:d8320f303467/</dc:identifier>
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<item rdf:about="https://arxiv.org/pdf/1801.00631">
    <title>arxiv.org</title>
    <dc:date>2026-08-03T08:09:22+00:00</dc:date>
    <link>https://arxiv.org/pdf/1801.00631</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Gary Marcus deep learning white paper]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:e366edadeb41/</dc:identifier>
</item>
<item rdf:about="https://diginomica.com/enterprise-hits-and-misses-tokenomics-isnt-going-away-and-neither-human-talent-bring-expertise">
    <title>Enterprise hits and misses - tokenomics isn't going away, and neither is human talent. Bring on the expertise-as-commodity debate!</title>
    <dc:date>2026-08-03T07:59:22+00:00</dc:date>
    <link>https://diginomica.com/enterprise-hits-and-misses-tokenomics-isnt-going-away-and-neither-human-talent-bring-expertise</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Enterprise hits and misses - tokenomics isn't going away and neither is human talent. Bring on the expertise-as-commodity debate! Enterprise hits and misses - tokenomics isn't going away, and neither is human talent. Bring on the expertise-as-commodity debate! https://ift.tt/ae8vFct Enterprise hits and misses - tokenomics isn't going away, and neither is human talent. Bring on the expertise-as-commodity debate!

https://ift.tt/ae8vFct

This week - tokenomics isn't going away anytime soon; time for more field lessons. Human talent versus agentic automation - what's next? Is expertise becoming a commodity, and where does AI automation fall short? As always, your weekly whiffs are here too. 

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

August 3, 2026 at 03:52AM]]></description>
<dc:subject>IFTTT Jon Reed – diginomica</dc:subject>
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<item rdf:about="https://ravenintel.com/youre-sitting-on-a-gold-mine-its-your-last-20-projects/">
    <title>You're sitting on a gold mine. It's your last 20 projects. - Raven Intelligence</title>
    <dc:date>2026-08-02T21:09:18+00:00</dc:date>
    <link>https://ravenintel.com/youre-sitting-on-a-gold-mine-its-your-last-20-projects/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[You’re sitting on a gold mine. It’s your last 20 projects - by @btinder Raven Intelligence has collected 4,743 verified reviews from enterprise software customers describing the implementation they just lived through. In Q2, 60% of those projects finished on time and 66% finished on budget. Do that math from the buyer’s chair. Roughly 1 in 3 of the people you are pitching right now walked out of their […] "Most buyers do not run a real evaluation on the implementation team. In our data, roughly 75% of the time the Consulting partner got picked for 1 of 2 reasons: the software salesperson recommended them, or the firm had already done unrelated work somewhere else in the company. Most buyers received 2 or fewer proposals.

One large organization asked us, “We had a choice in partner?”"]]></description>
<dc:subject>.general topics blog home page partner selection (general) top 3</dc:subject>
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