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  </channel><item rdf:about="https://news.sap.com/2026/10/sap-teched-ai-developers-build-what-matters-autonomous-execution/">
    <title>SAP Empowers AI Developers | SAP TechEd | SAP News Center</title>
    <dc:date>2026-11-02T15:14:21+00:00</dc:date>
    <link>https://news.sap.com/2026/10/sap-teched-ai-developers-build-what-matters-autonomous-execution/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[SAP Empowers AI Developers to Build What Matters and Turn Intent into Autonomous Execution From SAP TechEd, SAP has announced a series of AI innovations that expands its portfolio for developers. Get all the news from the event. ]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:160e9f2e29a3/</dc:identifier>
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<item rdf:about="https://diginomica.com/enterprise-hits-and-misses-ai-outcomes-are-elusive-human-review-tax-bs-and-enterprises-need-ai">
    <title>Enterprise hits and misses - AI outcomes are elusive, the human review tax is BS, and enterprises need an AI playbook</title>
    <dc:date>2026-11-02T07:49:35+00:00</dc:date>
    <link>https://diginomica.com/enterprise-hits-and-misses-ai-outcomes-are-elusive-human-review-tax-bs-and-enterprises-need-ai</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Enterprise hits and misses - AI outcomes are elusive the human review tax is BS and enterprises need an AI playbook Enterprise hits and misses - AI outcomes are elusive, the human review tax is BS, and enterprises need an AI playbook https://ift.tt/GgoUsbq Enterprise hits and misses - AI outcomes are elusive, the human review tax is BS, and enterprises need an AI playbook

https://ift.tt/GgoUsbq

This week - as fall events roll on (and on), AI outcomes are in demand - but hard to nail down. Is the so-called AI human review tax a thing, or a flawed concept? An AI playbook would be swell - but are we any closer? As always, your whiffs - and diginomica's line in the sand with Meta. 

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

November 2, 2026 at 02:41AM]]></description>
<dc:subject>IFTTT Jon Reed – diginomica</dc:subject>
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<item rdf:about="https://www.yahoo.com/news/us/articles/100-percent-national-security-threat-173000920.html">
    <title>'It’s 100 percent a national security threat': Accenture contractor connected an AI agent to the Pentagon’s secure network, and then sent data to a high-risk website</title>
    <dc:date>2026-11-01T14:19:39+00:00</dc:date>
    <link>https://www.yahoo.com/news/us/articles/100-percent-national-security-threat-173000920.html</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA['It’s 100 percent a national security threat': Accenture contractor connected an AI agent to the Pentagon’s secure network, and then sent data to a high-risk website The AI agent sent login details and a map of a secure internal network to a third party website. "The contractor is alleged to have given the AI agent login credentials to the DoD's Non-classified Internet Protocol Router Network (NIPRNet) in order to allow it to write code. But in order to function properly, the AI agent also needed the internet to perform its tasks.

The login credentials give the AI agent the ability to bypass the security controls enforced by the login process, and the AI agent then sent the credentials and a map of NIPRNet to a third party website."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:c8fa0800086b/</dc:identifier>
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<item rdf:about="https://www.constellationr.com/insights/news/outcome-based-pricing-pros-cons-and-nuances">
    <title>https://www.constellationr.com/insights/news/outcome-based-pricing-pros-cons-and-nuances</title>
    <dc:date>2026-11-01T14:14:16+00:00</dc:date>
    <link>https://www.constellationr.com/insights/news/outcome-based-pricing-pros-cons-and-nuances</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Outcome based pricing: Pros, cons and nuances - by @ldignan #CCE26 Award-winning, Silicon Valley-based research and advisory firm focused on helping early adopters harness the transformative power of exponential technology. "The art of outcomes. First, Tantoco said never confuse outcomes with metrics. "There's a big difference between outcomes and metrics… When you think about outcomes, you really think about business outcomes such as value created, productivity and customer satisfaction," she said.

Thompson said outcomes revolve around "taking away friction and pain from our customers, from our teammates, and does life and work look easier?""]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:53c0e74b3bf7/</dc:identifier>
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    <title>Amazon CEO predicts 6 to 8 AI models will be ‘good enough’ for almost everything - The New Stack</title>
    <dc:date>2026-11-01T14:04:39+00:00</dc:date>
    <link>https://thenewstack.io/jassy-bedrock-multimodel-prediction/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Amazon CEO predicts 6 to 8 AI models will be ‘good enough’ for almost everything Andy Jassy expects 6 to 8 AI models good enough for most workloads, and says developers will mix and match them through Amazon Bedrock. "Jassy has seen plenty of technology leaders lose their early advantage over the past 20 years. He pointed to databases and analytics as examples, along with TensorFlow, which once seemed likely to become the standard framework before PyTorch took the lead.

He expects something similar to happen with AI models. As Jassy put it, “there is not one tool to rule the world.” Some models will be better at reasoning or coding, while others will have an edge in visual tasks, speed, or cost per token. That leaves companies with plenty of reasons to use more than one. Jassy believes “most customers are going to use multiple models, and many will use multiple models in the same generative AI application.” For developers, that could mean choosing a model based on the task at hand rather than committing to one provider for everything."]]></description>
<dc:subject>ai models strategy cloud services</dc:subject>
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<item rdf:about="https://www.constellationr.com/insights/news/your-ai-playbook-and-look-big-themes">
    <title>https://www.constellationr.com/insights/news/your-ai-playbook-and-look-big-themes</title>
    <dc:date>2026-11-01T13:39:26+00:00</dc:date>
    <link>https://www.constellationr.com/insights/news/your-ai-playbook-and-look-big-themes</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Your AI playbook and a look at the big themes - by @ldignan #CCE26 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:70c16ddb948d/</dc:identifier>
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<item rdf:about="https://www.supplychainshaman.com/ai-defining-a-middle-ground-between-custom-and-packaged-applications-in-supply-chain-planning/">
    <title>AI Defining a Middle Ground Between Custom and Packaged Applications in Supply Chain Planning – Supply Chain Shaman</title>
    <dc:date>2026-11-01T13:34:22+00:00</dc:date>
    <link>https://www.supplychainshaman.com/ai-defining-a-middle-ground-between-custom-and-packaged-applications-in-supply-chain-planning/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[AI Defining a Middle Ground Between Custom and Packaged Applications in Supply Chain Planning  "So, the next time a technology provider comes to see you and talks orchestration, ask them three “hows”: As we automate work to collaborate with agents, it is even more important to define the behavior and workflow of humans and agents. We have to up our ante. "]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:3ae66bc3b1eb/</dc:identifier>
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<item rdf:about="https://blog.aheadcrm.co.nz/2026/10/zoho-analytics-bets-on-context-before.html">
    <title>Zoho Analytics Bets on Context Before Agents</title>
    <dc:date>2026-11-01T13:34:21+00:00</dc:date>
    <link>https://blog.aheadcrm.co.nz/2026/10/zoho-analytics-bets-on-context-before.html</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Zoho Analytics Bets on Context Before Agents - by @twieberneit CRM, social CRM, CX, digital disruption, customer experience, customer engagement, customer service, IoT, AI, MachineLearning, bots, chatbots, AI, gen "AI agents without business context are confident guessers. They do not know what "revenue" means in your company, which customer record is the right one, or which supplier belongs to which purchase order. With its new release of Zoho Analytics, Zoho draws the consequence and builds the context first, then the agents on top."]]></description>
<dc:subject>agentic ai customer experience zoho analytics</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:d0161a453892/</dc:identifier>
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<item rdf:about="https://andvijaysays.com/2026/10/27/when-should-humans-stop-reading-code-diffs/">
    <title>When Should Humans Stop Reading Code Diffs? – And Vijay Says…</title>
    <dc:date>2026-11-01T13:14:09+00:00</dc:date>
    <link>https://andvijaysays.com/2026/10/27/when-should-humans-stop-reading-code-diffs/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[When Should Humans Stop Reading Code Diffs?  ]]></description>
<dc:subject>uncategorized</dc:subject>
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<item rdf:about="https://www.freeformdynamics.com/archive/why-adaptability-deserves-more-weight-in-it-infrastructure-decisions/">
    <title>Why adaptability deserves more weight in IT infrastructure decisions - Freeform Dynamics</title>
    <dc:date>2026-11-01T12:59:48+00:00</dc:date>
    <link>https://www.freeformdynamics.com/archive/why-adaptability-deserves-more-weight-in-it-infrastructure-decisions/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Why adaptability deserves more weight in IT infrastructure decisions For as long as I've been working in IT, I've been an advocate of flexible, adaptable infrastructure. The reasons have always seemed compelling. Adaptable "When considering this, it’s important to recognise that even seemingly far-off events can often cascade right down to front-line IT. For example, an international conflict might restrict critical trading routes, leading to long and unpredictable lead times and higher prices for equipment. Procurement for a key project then gets brought forward to ensure availability, and before long you’re reshuffling funding and resources and replanning accordingly. Similarly, a key supplier under pressure from investors may unilaterally impose a product, policy or pricing change, leaving you to scramble to assess the impact on your longer-term strategy.

AI deserves a brief mention here. While many pundits talk as if AI is front and centre in every infrastructure discussion, for most teams it’s less about building dedicated high-scale environments and more about supporting AI extensions to familiar applications, or AI functions that vendors build into application updates. That too is a factor largely beyond your control."]]></description>
<dc:subject>[ analyst opinion ] 3. hybrid systems delivery x[ archived content ]x</dc:subject>
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</item>
<item rdf:about="https://jonerp.podbean.com/e/what-are-enterprise-leaders-getting-wrong-about-ai-sparring-with-esteban-kolsky-at-cce-2026/">
    <title>What are enterprise leaders getting wrong about AI? Sparring with Esteban Kolsky at CCE 2026 | Busting the omnichannel - enterprise hacks and chats</title>
    <dc:date>2026-10-31T23:04:14+00:00</dc:date>
    <link>https://jonerp.podbean.com/e/what-are-enterprise-leaders-getting-wrong-about-ai-sparring-with-esteban-kolsky-at-cce-2026/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[What are enterprise leaders getting wrong about AI? Sparring with Esteban Kolsky at CCE 2026 What are enterprise leaders getting wrong about AI? Sparring with Esteban Kolsky at CCE 2026 https://ift.tt/9fO3F1N What are enterprise leaders getting wrong about AI? Sparring with Esteban Kolsky at CCE 2026

https://ift.tt/9fO3F1N

Esteban Kolsky, Chief Distiller at Constellation Research, has been issuing provocative board level research on what enterprise leaders are getting right (and wrong!) about enterprise AI. Live at CCE 2026, Reed and Kolsky sit down to break out some of the key issues Kolksy has surfaced, and why his research imperative has gained momentum amidst all the AI hype/BS. We cover Kolsky's advisory on resilient architectures, AI cost evaluations, and why the CEO should be the Chief AI Officer - and the pitfalls such a role presents. Halfway through the podcast, we switch gears to settle scores on several debates we have had on LinkedIn, including AI leadership, the value of synthetic data, and the most contentious of all: whether expertise is indeed a commodity, and why this is such a perilous and important argument for human work. That lands us into the final crucial topic of how to engage young talent, rather than sidelining them in the AI economy.

via Busting the omnichannel - enterprise hacks and chats https://ift.tt/ygN0MxQ

October 31, 2026 at 06:55PM]]></description>
<dc:subject>IFTTT Busting the omnichannel - enterprise hacks and chats</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:dc4758756495/</dc:identifier>
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</item>
<item rdf:about="https://jonerp.podbean.com/e/enterprise-ai-trends-and-realities-a-crmkonvos-crossover-session/">
    <title>Enterprise AI trends and realities - a CRMKonvos crossover session | Busting the omnichannel - enterprise hacks and chats</title>
    <dc:date>2026-10-31T22:29:13+00:00</dc:date>
    <link>https://jonerp.podbean.com/e/enterprise-ai-trends-and-realities-a-crmkonvos-crossover-session/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Enterprise AI trends and realities - a CRMKonvos crossover session Enterprise AI trends and realities - a CRMKonvos crossover session https://ift.tt/sNHnXFA Enterprise AI trends and realities - a CRMKonvos crossover session

https://ift.tt/sNHnXFA

Jon Reed's CRMKonvos AI sparring partner Dr. Michael Wu couldn't make it, but the rest of the gang did - and we served up an enterprise AI reality check edition. What have we learned from the fall event season so far? What are vendors doing right - and wrong? Why does Jon think we are at a turning point with LLM agents? Are we past tokenmaxxing? Is automation the right framing for agentic AI? This session was sparked by some very sharp audience questions - and sets up the final push of the fall 2026 event season. Note: catch all the CRMKonvos replays on their video channel: https://www.youtube.com/@crmkonvos.

via Busting the omnichannel - enterprise hacks and chats https://ift.tt/ygN0MxQ

October 31, 2026 at 06:21PM]]></description>
<dc:subject>IFTTT Busting the omnichannel - enterprise hacks and chats</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:47e2d6d8f89d/</dc:identifier>
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</item>
<item rdf:about="https://diginomica.com/oracle-ai-world-26-how-do-we-assess-oracles-ai-progress-versus-customer-realities-podcast-show">
    <title>Oracle AI World 26 - how do we assess Oracle's AI progress versus customer realities? Podcast show review highlights</title>
    <dc:date>2026-10-29T19:09:11+00:00</dc:date>
    <link>https://diginomica.com/oracle-ai-world-26-how-do-we-assess-oracles-ai-progress-versus-customer-realities-podcast-show</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Oracle AI World 26 - how do we assess Oracle's AI progress versus customer realities? Podcast show review highlights Oracle AI World 26 - how do we assess Oracle's AI progress versus customer realities? Podcast show review highlights https://ift.tt/e42bUyN Oracle AI World 26 - how do we assess Oracle's AI progress versus customer realities? Podcast show review highlights

https://ift.tt/e42bUyN

Oracle AI World opened up more critical issues than any one person could nail down. Nothing beats an on-site podcast to ask the question: what just happened - and where should customers go from here? Here's the top issues from my show review podcast with Rebecca Wettemann. 

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

October 29, 2026 at 02:59PM]]></description>
<dc:subject>IFTTT Jon Reed – diginomica</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:5cc54e3cf3d6/</dc:identifier>
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</item>
<item rdf:about="https://jonerp.podbean.com/e/the-oracle-ai-world-podcast-review-with-rebecca-wettemann/">
    <title>The Oracle AI World podcast review - with Rebecca Wettemann | Busting the omnichannel - enterprise hacks and chats</title>
    <dc:date>2026-10-27T23:24:34+00:00</dc:date>
    <link>https://jonerp.podbean.com/e/the-oracle-ai-world-podcast-review-with-rebecca-wettemann/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[The Oracle AI World podcast review - with Rebecca Wettemann The Oracle AI World podcast review - with Rebecca Wettemann https://ift.tt/2mzkcVW The Oracle AI World podcast review - with Rebecca Wettemann

https://ift.tt/2mzkcVW

At the tail end of Oracle AI World 2026, day two, Jon sat down with Rebecca Wettemann of Valoir for an impromptu show review, in the protypical empty (but blessedly quiet) room. Did Oracle's agentic vision line up with customer realities? Was Fusion Claw an advance - if so, why? And how does Oracle's AI evolution point to the change in the value of language models - versus their surrounding architecture? How does Oracle customers' AI adoption path line up with Valoir's latest research - and where should Oracle go from here? These are some of the topics we hit on during our pre-flight show wrap.

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

October 27, 2026 at 07:14PM]]></description>
<dc:subject>IFTTT Busting the omnichannel - enterprise hacks and chats</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:90cbd8b2ae96/</dc:identifier>
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</item>
<item rdf:about="https://reg.rf.oracle.com/flow/oracle/oaiw26/catalog/page/catalog/session/1784671108582001Oju8">
    <title>Session Catalog</title>
    <dc:date>2026-10-27T20:44:23+00:00</dc:date>
    <link>https://reg.rf.oracle.com/flow/oracle/oaiw26/catalog/page/catalog/session/1784671108582001Oju8</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Session Catalog - Session Catalog  ]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:e19406024940/</dc:identifier>
</item>
<item rdf:about="https://diginomica.com/oracle-ai-world-26-if-fusion-claw-changes-enterprise-work-does-it-change-cost-also-oracle-leaders">
    <title>Oracle AI World 26 - if Fusion Claw changes enterprise work, does it change cost also? Oracle leaders reveal Fusion Claw economics</title>
    <dc:date>2026-10-27T10:14:17+00:00</dc:date>
    <link>https://diginomica.com/oracle-ai-world-26-if-fusion-claw-changes-enterprise-work-does-it-change-cost-also-oracle-leaders</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Oracle AI World 26 - if Fusion Claw changes enterprise work does it change cost also? Oracle leaders reveal Fusion Claw economics Oracle AI World 26 - if Fusion Claw changes enterprise work, does it change cost also? Oracle leaders reveal Fusion Claw economics https://diginomica.com/oracle-ai-world-26-if-fusion-claw-changes-enterprise-work-does-it-change-cost-also-oracle-leaders Oracle AI World 26 - if Fusion Claw changes enterprise work, does it change cost also? Oracle leaders reveal Fusion Claw economics

https://diginomica.com/oracle-ai-world-26-if-fusion-claw-changes-enterprise-work-does-it-change-cost-also-oracle-leaders

Oracle AI World 2026 brought the autonomous runtime of Fusion Claw into the keynote glare. But how does this land with customer priorities - especially around governance and cost? On day one, I was able to surface notable answers from Oracle on why Fusion Claw matters, and why cost control is core to the architectural design. 

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

October 27, 2026 at 06:03AM]]></description>
<dc:subject>IFTTT Jon Reed – diginomica</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:43b7f3030749/</dc:identifier>
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</item>
<item rdf:about="https://diginomica.com/enterprise-hits-and-misses-agentic-automation-or-building-things-matter-hackening-has-begun">
    <title>Enterprise hits and misses - agentic automation, or building things that matter? The hackening has begun - is enterprise security ready?</title>
    <dc:date>2026-10-26T07:34:07+00:00</dc:date>
    <link>https://diginomica.com/enterprise-hits-and-misses-agentic-automation-or-building-things-matter-hackening-has-begun</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Enterprise hits and misses - agentic automation or building things that matter? The hackening has begun - is enterprise security ready? Enterprise hits and misses - agentic automation, or building things that matter? The hackening has begun - is enterprise security ready?  https://ift.tt/4FzU1vV Enterprise hits and misses - agentic automation, or building things that matter? The hackening has begun - is enterprise security ready? 

https://ift.tt/4FzU1vV

This week - agentic automation is the rage, but are we missing out on building cool (new) things? And: how do we govern and scale that? "The hackening" has begun, as agents press for vulnerabilities across all infrastructure. Gartner calls out AI failure, and yes - events (still) need our scrutiny!

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

October 26, 2026 at 03:25AM]]></description>
<dc:subject>IFTTT Jon Reed – diginomica</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:34030f6f779f/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:–"/>
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</item>
<item rdf:about="https://blog.aheadcrm.co.nz/2026/10/the-agentic-ai-trust-gap-you-own.html">
    <title>The Agentic AI Trust Gap: You Own the Results, Your Vendor Sells the Tokens</title>
    <dc:date>2026-10-25T10:34:21+00:00</dc:date>
    <link>https://blog.aheadcrm.co.nz/2026/10/the-agentic-ai-trust-gap-you-own.html</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[The Agentic AI Trust Gap: You Own the Results, Your Vendor Sells the Tokens by @twieberneit, via CRM Konvos with guest @jonerp CRM, social CRM, CX, digital disruption, customer experience, customer engagement, customer service, IoT, AI, MachineLearning, bots, chatbots, AI, gen "Vendor keynote season has left us with a great story: autonomous agents run the front office, orchestration layers make everything talk to everything, and trust layers keep it all compliant. As we discussed in our CRMKonvo with Jon Reed, co-founder of Diginomica, the view from the ground is less glossy. Customers and vendors are having different conversations, and the gap is not a messaging problem. It is a conflict of interest, and the buyer is paying for it."]]></description>
<dc:subject>agentic ai agents crmkonvos customer experience</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:1489c169a8cc/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:agentic"/>
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</item>
<item rdf:about="https://www.gartner.com/en/newsroom/press-releases/2026-10-19-gartner-survey-finds-only-13-percent-of-cios-say-their-enterprise-has-realized-significant-or-transformational-value-from-ai">
    <title>https://www.gartner.com/en/newsroom/press-releases/2026-10-19-gartner-survey-finds-only-13-percent-of-cios-say-their-enterprise-has-realized-significant-or-transformational-value-from-ai</title>
    <dc:date>2026-10-25T10:15:53+00:00</dc:date>
    <link>https://www.gartner.com/en/newsroom/press-releases/2026-10-19-gartner-survey-finds-only-13-percent-of-cios-say-their-enterprise-has-realized-significant-or-transformational-value-from-ai</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Gartner Survey Finds Only 13% of CIOs Say Their Enterprise Has Realize Only 13% of CIOs reported their enterprise has realized significant or transformational value from AI so far according to Gartner. CIOs Must Strive to be Vanguards, a Cohort That Delivers Better Business Outcomes While Also Reporting High CEO-Perceived AI Value
Only 13% of CIOs reported their enterprise has realized significant or transformational value from AI so far according to Gartner, Inc., a business and technology insights company. While AI use cases have accelerated over the past two years, the likelihood of use case success remains one-in-five.]]></description>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:jonerp/b:dcb7fa0e0c77/</dc:identifier>
</item>
<item rdf:about="https://www.constellationr.com/insights/news/open-models-gain-traction-enterprises-tech-ceos-say">
    <title>Open models gain traction in enterprises, tech CEOs say | Constellation Research</title>
    <dc:date>2026-10-25T09:24:17+00:00</dc:date>
    <link>https://www.constellationr.com/insights/news/open-models-gain-traction-enterprises-tech-ceos-say</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Open models gain traction in enterprises, tech CEOs say - by @ldignan Award-winning, Silicon Valley-based research and advisory firm focused on helping early adopters harness the transformative power of exponential technology. "Technology leaders from IBM, SAP and Meta all said that usage of open models internally and among customers is gaining momentum. The comments are just the latest indicator that frontier models are sucking wind in the enterprise due to costs.

As previously noted, frontier large language models don't have much of a moat. Anthropic and OpenAI are pushing multiple models to cover use cases and price points, but enterprises are wary of locking into one model provider. The future will look a lot like what a CEO showed me: A Google Sheet of dozens of models doing various tasks and optimized for cost. "]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:b0d2b5eb53b8/</dc:identifier>
</item>
<item rdf:about="https://www.fastforward.blog/qualcomm-cio-atilla-tinic-is-rethinking-the-it-playbook-for-the-ai-era/">
    <title>Qualcomm CIO Atilla Tinic is rethinking the IT playbook for the AI era</title>
    <dc:date>2026-10-25T09:24:17+00:00</dc:date>
    <link>https://www.fastforward.blog/qualcomm-cio-atilla-tinic-is-rethinking-the-it-playbook-for-the-ai-era/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Qualcomm CIO Atilla Tinic is rethinking the IT playbook for the AI era -by @ron_miller With over 30 years of IT experience, Qualcomm CIO Atilla Tinic has seen a few shifts in his time. But like many executives and analysts I’ve spoken with recently, he says AI is changing how he manages IT more significantly than anything that came before it.

By now, we know all too well that a model is only as good as the data it was trained on. At Dreamforce last month, Salesforce executives went so far as to say that the company's data is much more important than the interface, and that perhap "One of those fundamental assumptions that has changed is how a business uses the data it stores in a data warehouse or data lake.

He said that if you asked him 10 years ago about how you use that data, he would have a completely different answer, and that's due to how AI uses the data inside a company. "If you'd asked me about your data warehouse at that time, or data lake, I would have said never include transactional processes in your data warehouse or lake. It's there for BI," Tinic said. In those days, systems of record like Salesforce handled the transactions."]]></description>
<dc:subject>profiles</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:387d6dea6f94/</dc:identifier>
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</item>
<item rdf:about="https://paulkedrosky.com/the-hackening-has-begun/">
    <title>The Hackening Has Begun</title>
    <dc:date>2026-10-25T09:19:11+00:00</dc:date>
    <link>https://paulkedrosky.com/the-hackening-has-begun/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[The Hackening Has Begun  "The acceleration is extreme:

    5.2% of all critical software vulnerabilities ever reported were disclosed just this month
    Roughly half the critical software vulnerabilities ever found have been found this year alone."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:eaef6ef3b3f8/</dc:identifier>
</item>
<item rdf:about="https://www.constellationr.com/research/blog/three-ai-reckonings-your-board-isnt-discussing-should-be">
    <title>The Three AI Reckonings Your Board Isn't Discussing (But Should Be) | Constellation Research</title>
    <dc:date>2026-10-25T09:14:17+00:00</dc:date>
    <link>https://www.constellationr.com/research/blog/three-ai-reckonings-your-board-isnt-discussing-should-be</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[The Three AI Reckonings Your Board Isn't Discussing (But Should Be)  "The same pattern is repeating with AI agents, and recent reporting confirms what many small-to-midsize business owners are experiencing firsthand. For agents to provide value, they require constant supervision, frequent correction, and integration work that often exceeds the time savings they provide. This is turning small-to-midsize businesses toward using AI vendors to manage these systems for them, which creates a different kind of risk. You are outsourcing a core part of your business operations to a third party whose incentives may not align with yours and whose systems you do not control.

For Boards, this paradox demands a more sophisticated approach to AI adoption than the simplistic cost-reduction narratives that dominate many business cases."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:655a698cd126/</dc:identifier>
</item>
<item rdf:about="https://www.404media.co/php2shell-black-october-ai-is-changing-everything-about-hacking-no-one-knows-what-happens-next/">
    <title>AI Is Changing Everything About Hacking. No One Knows What Happens Next</title>
    <dc:date>2026-10-25T09:14:17+00:00</dc:date>
    <link>https://www.404media.co/php2shell-black-october-ai-is-changing-everything-about-hacking-no-one-knows-what-happens-next/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[AI Is Changing Everything About Hacking. No One Knows What Happens Next 'Black October:' The PHP vulnerabilities and a series of other hacks and bugs have cybersecurity experts freaking out and unsure what happens next. "Matthew Prince, the CEO of Cloudflare, a service that has wide insight into the general health of the internet, posted, “In the 10 hours before [PHP2Shell] was publicly announced, across the Cloudflare network we saw thousands of attempts to exploit it. That jumped to tens of thousands in the 45 minutes post announcement, hundreds of thousands within 2 hours, and millions now.” 

So much is happening, and so quickly, that it has been difficult for me — someone who has been reporting and editing stories on security and hacking for a decade — to fully understand what’s going on, to have a sense of what could happen next, or predict where this is going. And I think that that is largely where we are at the moment, as I am writing this. "]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:d199deaa0b13/</dc:identifier>
</item>
<item rdf:about="https://upperedge.com/artificial-intelligence/why-your-si-contract-needs-change-control-for-agentic-ai-tools/">
    <title>Agentic AI Change Control in Your SI Contract</title>
    <dc:date>2026-10-25T09:09:08+00:00</dc:date>
    <link>https://upperedge.com/artificial-intelligence/why-your-si-contract-needs-change-control-for-agentic-ai-tools/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Why Your SI Contract Needs Change Control for Agentic AI Tools - via @UpperEdge When an SI swaps the model behind its code-generation agent, your risk changes. Learn what agentic AI change control should cover in your SI contract. "Now suppose the SI changes the model behind its code-generation agent, rewrites the prompts that govern it, or changes how its testing agent decides what to test. The deliverable may look the same. The way it was produced is different, and so is the risk that comes with it. A new model may introduce different kinds of defects or security weaknesses. A change to the testing agent may change what “tested” actually means. You accept the output based on assumptions about how it was made, and those assumptions just changed."]]></description>
<dc:subject>artificial intelligence agentic ai procurement delivery change management key personnel clauses prior notification of si contract negotiation productivity gains</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:6817e8703f6e/</dc:identifier>
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	<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:change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:management"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:personnel"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:productivity"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:gains"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.supplychainshaman.com/reflection-on-the-supply-chains-to-admire/">
    <title>Reflection and Celebration for the Supply Chains to Admire Methodology – Supply Chain Shaman</title>
    <dc:date>2026-10-25T09:09:07+00:00</dc:date>
    <link>https://www.supplychainshaman.com/reflection-on-the-supply-chains-to-admire/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Reflection on the Supply Chains to Admire #scm The Supply Chains to Admire to is an objective, data-driven standard for measuring supply chain excellence and moves beyond industry reputation, anecdotal evidence, and technology claims. Using rev… "2. Benchmarking needed to measure results over time. It takes 4-5 years for a company to beat a peer group. I wanted to give leaders a way to track progress. I find publishing orbit charts of progress against industry potential illustrative. Industry performance in 85% of sectors is declining, and most companies are oblivious to the decline in potential.

3. Companies needed to balance competing supply chain objectives. Rather than focusing exclusively on functional cost reduction, I wanted to build a balanced scorecard that could define value. Working with Georgia Tech, I developed a balanced scorecard built around four measures: Revenue growth, Operating margin, Inventory turns, and Return on Capital Employed (ROCE). The intent was to assess whether a company could improve its supply chain while delivering stronger financial performance relative to industry peers.

4. Supply chain leaders needed evidence to guide improvement. The research is intended to help executives set realistic goals, understand their relative performance, and recognize companies that consistently achieved superior results. It also challenged the assumption that successful individual projects necessarily translate into sustained enterprise-wide improvement. For insight, compare the results of the winners to the industry results."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:0a012ebb2663/</dc:identifier>
</item>
<item rdf:about="https://andvijaysays.com/2026/10/24/the-talent-pyramid-was-never-just-a-shape/">
    <title>The Talent Pyramid Was Never Just a Shape ! – And Vijay Says…</title>
    <dc:date>2026-10-25T09:04:17+00:00</dc:date>
    <link>https://andvijaysays.com/2026/10/24/the-talent-pyramid-was-never-just-a-shape/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[The Talent Pyramid Was Never Just a Shape ! - by @vijayasankarv  "Management layers built around moving information come under pressure. AI can handle much of the status, routing and reporting. Developing people and accepting accountability remain management responsibilities.

The base becomes humans working with agents, but accountability stays human. In the book, an AI workflow starts clustering settlements just under $10,000. Nobody told it to. It had been rewarded for speed, and crossing $10,000 triggered extra review. Each settlement looked fine. Only the pattern was wrong. Someone had to know which patterns mattered, investigate, and have the authority to intervene. Monitoring tools can detect the pattern. Someone still has to decide whether it is acceptable and what to do about it.

The work that reaches people gets harder. That raises the value of experienced specialists. But AI is also helping less experienced people do senior work, and it will take more of the hard cases itself. Both are true at once."]]></description>
<dc:subject>uncategorized</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:24818761c820/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:uncategorized"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://venturebeat.com/security/17-of-40-teams-that-say-they-enforce-ai-agent-permissions-still-share-the-credentials-behind-them">
    <title>https://venturebeat.com/security/17-of-40-teams-that-say-they-enforce-ai-agent-permissions-still-share-the-credentials-behind-them</title>
    <dc:date>2026-10-24T21:14:15+00:00</dc:date>
    <link>https://venturebeat.com/security/17-of-40-teams-that-say-they-enforce-ai-agent-permissions-still-share-the-credentials-behind-them</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Only 14 of 100 teams say they can revoke an AI agent’s access within minutes, VentureBeat survey finds - by @louiscolumbus 17 of 40 teams enforcing AI agent permissions still share credentials. Only 14 of 100 could revoke an agent’s access within minutes. "VentureBeat’s September 2026 Agentic Security and Identity survey asked 102 enterprises how they secure and revoke AI agent access. Forty described a program that enforces scoped identities and runtime permission checks, and 17 of those 40 then said some or most of their agents still share credentials. Only 14 of the overall 102 said they could revoke access within minutes. "]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:0499196f88b3/</dc:identifier>
</item>
<item rdf:about="https://www.techtarget.com/it-infrastructure/news/366650696/Jev-decision-model-touted-as-quicker-cheaper-LLM-alternative">
    <title>Jev decision model touted as quicker, cheaper LLM alternative | TechTarget</title>
    <dc:date>2026-10-24T07:39:22+00:00</dc:date>
    <link>https://www.techtarget.com/it-infrastructure/news/366650696/Jev-decision-model-touted-as-quicker-cheaper-LLM-alternative</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Jev decision model touted as quicker, cheaper LLM alternative | Tec... As a fast, cheap decision model, TypeSafe AI's Jev could reshape agentic AI workflows by separating decision-making from text generation. ]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:b6245b3bb40b/</dc:identifier>
</item>
<item rdf:about="https://venturebeat.com/orchestration/ai-agents-can-have-accurate-data-and-still-make-the-wrong-business-decision">
    <title>https://venturebeat.com/orchestration/ai-agents-can-have-accurate-data-and-still-make-the-wrong-business-decision</title>
    <dc:date>2026-10-23T07:19:30+00:00</dc:date>
    <link>https://venturebeat.com/orchestration/ai-agents-can-have-accurate-data-and-still-make-the-wrong-business-decision</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[AI agents can have accurate data — and still make the wrong business decision Accurate data isn’t enough for AI agents. SAP’s Yaad Oren explains why business context, semantics and governance are critical to reliable decisions. ]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:8542818f8153/</dc:identifier>
</item>
<item rdf:about="https://www.youtube.com/watch?v=h_-XIvSdGcE">
    <title>- YouTube</title>
    <dc:date>2026-10-20T17:04:13+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=h_-XIvSdGcE</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Let's crash CRM Konvos for a provocative AI discussion Let's crash CRM Konvos for a provocative AI discussion https://www.youtube.com/watch?v=h_-XIvSdGcE Let's crash CRM Konvos for a provocative AI discussion

https://www.youtube.com/watch?v=h_-XIvSdGcE

research reveal - let's have a provocative and sober AI discussion on what we've learned to date.

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

October 20, 2026 at 12:50PM]]></description>
<dc:subject>IFTTT Jon Reed of diginomica</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:501b377db2be/</dc:identifier>
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	<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-buyers-need-better-ai-contracts-enough-ai-bubble-talks-get-real-and-yeah">
    <title>Enterprise hits and misses - buyers need better AI contracts - but is that enough? AI bubble talks get real and yeah - events events events!</title>
    <dc:date>2026-10-19T11:59:31+00:00</dc:date>
    <link>https://diginomica.com/enterprise-hits-and-misses-buyers-need-better-ai-contracts-enough-ai-bubble-talks-get-real-and-yeah</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Enterprise hits and misses - buyers need better AI contracts - but is that enough? AI bubble talks get real and yeah - events events events! Enterprise hits and misses - buyers need better AI contracts - but is that enough? AI bubble talks get real and yeah - events events events!  https://ift.tt/aepU7cD Enterprise hits and misses - buyers need better AI contracts - but is that enough? AI bubble talks get real and yeah - events events events! 

https://ift.tt/aepU7cD

This week - buyers face off against vendors, with AI liability at stake. What are we learning on AI contracts? AI security is a moving target, and so is the macro-economy. What gives, and when? Our event road show (and analysis) rolls on, and so do the whiffs - with a big assist from Meta.

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

October 19, 2026 at 07:45AM]]></description>
<dc:subject>IFTTT Jon Reed – diginomica</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:171dfb921336/</dc:identifier>
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	<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://diginomica.com/how-dell-hopes-claim-context-layer">
    <title>How Dell hopes to claim the context layer</title>
    <dc:date>2026-10-19T06:29:17+00:00</dc:date>
    <link>https://diginomica.com/how-dell-hopes-claim-context-layer</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[How Dell hopes to claim the context layer Dell has announced substantial progress and big plans for capturing the context layer of enterprise systems required for better AI and human processes. This includes recent progress in accelerating data prep with GPUs, and a framing for a semantic layer, knowledge graph, and agents in 2027. Dell execs argue this could help standardize business meaning across the enterprise, but it’s still early days. ]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:18e8fbee1f19/</dc:identifier>
</item>
<item rdf:about="https://diginomica.com/no-silver-bullet-ai-contracts-what-buyers-need-do-instead">
    <title>No silver bullet for AI contracts - what buyers need to do instead</title>
    <dc:date>2026-10-19T05:34:11+00:00</dc:date>
    <link>https://diginomica.com/no-silver-bullet-ai-contracts-what-buyers-need-do-instead</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[No silver bullet for AI contracts - what buyers need to do instead - by @derek_dupreez Can your contract protect you when you’re procuring new AI services? Enterprise buyers might be surprised that often the answer is ‘no’. The contract is important, but ultimately the work to protect your business has to happen in-house. ]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:452b5cd761fa/</dc:identifier>
</item>
<item rdf:about="https://finance.yahoo.com/markets/stocks/article/why-coreweave-nebius-and-other-neocloud-stocks-are-being-pounded-goldman-sachs-explains-125730269.html">
    <title>Why CoreWeave, Nebius, and other neocloud stocks are being pounded: Goldman Sachs explains</title>
    <dc:date>2026-10-19T04:49:18+00:00</dc:date>
    <link>https://finance.yahoo.com/markets/stocks/article/why-coreweave-nebius-and-other-neocloud-stocks-are-being-pounded-goldman-sachs-explains-125730269.html</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Why CoreWeave, Nebius, and other neocloud stocks are being pounded: Goldman Sachs explains Neocloud stocks like CoreWeave and Nebius are poised to cap off a horrible week in their relatively short time in public markets. ]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:768fe17643ab/</dc:identifier>
</item>
<item rdf:about="https://andvijaysays.com/2026/10/16/ai-wont-kill-the-sdlc-it-will-reprice-it/">
    <title>AI Won’t Kill the SDLC. It Will Reprice It. – And Vijay Says…</title>
    <dc:date>2026-10-19T04:39:22+00:00</dc:date>
    <link>https://andvijaysays.com/2026/10/16/ai-wont-kill-the-sdlc-it-will-reprice-it/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[AI Won’t Kill the SDLC. It Will Reprice It. - by @vijayasnkarv Everyone seems to agree on the same story: agents write the code, and the tools we already use stick around. Jira orchestrates the agents, GitHub verifies their work, Terraform enforces policy. I b… "Atlassian sees this. Rovo now meters AI activity and access to organizational context through credits, with additional usage billing scheduled to begin in December 2026. GitHub is moving toward a mix of seats and usage too. That’s adaptation, not collapse.

I still think Jira’s traditional economics are more exposed than GitHub’s, and the reason is margin. A traditional software seat costs relatively little to serve. Agent usage carries inference costs that someone has to pay. Usage revenue can replace seat revenue and still leave a worse business, so margin is the number to watch, not just revenue growth."]]></description>
<dc:subject>uncategorized</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:b20078a24e81/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:uncategorized"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.constellationr.com/insights/news/what-we-can-learn-industrial-blue-collar-ai">
    <title>What we can learn from industrial, blue collar AI | Constellation Research</title>
    <dc:date>2026-10-19T04:34:04+00:00</dc:date>
    <link>https://www.constellationr.com/insights/news/what-we-can-learn-industrial-blue-collar-ai</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[What we can learn from industrial, blue collar AI - by @ldignan Award-winning, Silicon Valley-based research and advisory firm focused on helping early adopters harness the transformative power of exponential technology. "AI isn't replacing labor as much as it is making up for a shortage. Multiple IFS customers said AI use cases revolved training incoming workers replacing retiring technicians and offloading tasks that sap productivity.

Lauren Purcell, aircraft engineering manager at UPS, said the industry doesn't have the labor capacity to support the rate it's going. "In terms of workforce, we just can't keep up with the training to replace those that are leaving the industry and that are retiring," said Purcell. "We're seeing retirements from these people that have been in the industry for so long and have years and years of knowledge just walk out the door, and we're working to better the training processes and more automated training processes.""]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:e6d4a165f500/</dc:identifier>
</item>
<item rdf:about="https://www.supplychainshaman.com/five-things-i-dont-understand/">
    <title>Five Things I Don’t Understand – Supply Chain Shaman</title>
    <dc:date>2026-10-19T04:34:03+00:00</dc:date>
    <link>https://www.supplychainshaman.com/five-things-i-dont-understand/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Five Things I Don’t Understand #scm Solutions that we never imagined years ago are emergining, but I pause when companies are unwilling or unable to roll up their sleeves and redefine work. Historic practices are not best practices, … "In this work, the astute implementer learns that accuracy and precision are different. Accuracy measures how close a forecast is to actual demand. Precision measures how narrow or consistent the forecast outcomes are. In supply chain planning, the distinction matters. A forecast can be precise but inaccurate—or accurate on average but highly uncertain. The lack of precision (repeatability and explainability) increases risk.

The mature planning processes evaluate a plan’s feasibility and reliability based on a conscious choice of optionality. In this work, business judgment is not a bad thing.

The demand forecast is an input into the plan, not the plan itself. This distinction matters."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:dde9a78a0e3f/</dc:identifier>
</item>
<item rdf:about="https://www.schneier.com/blog/archives/2026/10/backdooring-open-weight-ai-models.html">
    <title>Backdooring Open-Weight AI Models - Schneier on Security</title>
    <dc:date>2026-10-19T04:29:31+00:00</dc:date>
    <link>https://www.schneier.com/blog/archives/2026/10/backdooring-open-weight-ai-models.html</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Backdooring Open-Weight AI Models  "A backdoored model passes the evals, ships inside your agent and answers every normal request, then waits. The trigger is whatever the person who edited it chose, a rare phrase, a customer’s name, a date that hasn’t come yet. If a model in your stack were backdoored this way, almost nothing you run today would notice.

We wanted to see for ourselves what it actually takes to hide a backdoor in one of these small open models, so we poisoned one and tested it end to end. Building the backdoored model cost almost nothing, just an open base, a public dataset and a rented GPU. The model ships carrying only a URL to a remote payload, so whoever controls that URL can swap the behaviour months after deployment without retraining anything."]]></description>
<dc:subject>uncategorized ai backdoors supply chain trust</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:327e8942ec58/</dc:identifier>
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</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://venturebeat.com/security/companies-are-putting-jev-in-charge-of-ai-agent-decisions-and-prompt-injection-can-influence-the-verdict">
    <title>https://venturebeat.com/security/companies-are-putting-jev-in-charge-of-ai-agent-decisions-and-prompt-injection-can-influence-the-verdict</title>
    <dc:date>2026-10-19T04:29:30+00:00</dc:date>
    <link>https://venturebeat.com/security/companies-are-putting-jev-in-charge-of-ai-agent-decisions-and-prompt-injection-can-influence-the-verdict</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Jev AI agent security: Prompt injection risk - by @louiscolumbus TypeSafe and Pydantic both warn that the text Jev reads can move its decisions, while LangChain is already limiting what the model can see before it approves agent actions. "Many routing and classification steps in enterprise agent pipelines burn a full LLM call to extract a small structured answer: which tool to use, whether an action is allowed or which category an input belongs to.

TypeSafe's Jev is designed to replace that step. The model does not generate prose or code; an application sends it a state and typed questions, and Jev returns choices, scores or yes-or-no probabilities with confidence attached. TypeSafe prices Jev at $0.042 per million input tokens with free output, with end-to-end latency reported at 70 to 500 milliseconds. "]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:5d86115e8c5e/</dc:identifier>
</item>
<item rdf:about="https://people4.ai/synthetic-data-powers-modern-ai-but-over-reliance-on-it-is-quietly-degrading-enterprise-models-heres-whats-going-wrong-and-how-to-fix-it/">
    <title>Synthetic data powers modern AI – but over-reliance on it is quietly degrading enterprise models. Here’s what’s going wrong and how to fix it – People4.ai</title>
    <dc:date>2026-10-18T19:19:14+00:00</dc:date>
    <link>https://people4.ai/synthetic-data-powers-modern-ai-but-over-reliance-on-it-is-quietly-degrading-enterprise-models-heres-whats-going-wrong-and-how-to-fix-it/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Synthetic data powers modern AI – but over-reliance on it is quietly degrading enterprise models. Here’s what’s going wrong and how to fix it Synthetic data is genuinely exciting. The ability to generate vast quantities of AI training data without the expense, privacy risk, or logistical complexity of collecting... ]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:be699af4c029/</dc:identifier>
</item>
<item rdf:about="https://diginomica.com/workday-rising-customers-press-customers-ai-adoption-and-roi-and-get-answers">
    <title>Workday Rising - customers press customers on AI adoption and ROI, and get answers</title>
    <dc:date>2026-10-16T07:29:14+00:00</dc:date>
    <link>https://diginomica.com/workday-rising-customers-press-customers-ai-adoption-and-roi-and-get-answers</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Workday Rising - customers press customers on AI adoption and ROI and get answers Workday Rising - customers press customers on AI adoption and ROI, and get answers https://ift.tt/u4vKTag Workday Rising - customers press customers on AI adoption and ROI, and get answers

https://ift.tt/u4vKTag

At Workday Rising 2026, I attended a different kind of session: customers getting answers on Workday AI - from other customers. The top issues? Assessing AI costs/ROI, leadership skills, and which UX to standardize on. But how did their hot topics match up with my own? 

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

October 16, 2026 at 03:21AM]]></description>
<dc:subject>IFTTT Jon Reed – diginomica</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:453085aef2a3/</dc:identifier>
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</item>
<item rdf:about="https://diginomica.com/workday-rising-hot-topics-enterprise-ai-come-head-its-about-pricing-context-and-giving-ux-control">
    <title>Workday Rising - the hot topics of enterprise AI come to a head: it's about pricing, context, and (giving up) UX control</title>
    <dc:date>2026-10-14T08:29:19+00:00</dc:date>
    <link>https://diginomica.com/workday-rising-hot-topics-enterprise-ai-come-head-its-about-pricing-context-and-giving-ux-control</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Workday Rising - the hot topics of enterprise AI come to a head: it's about pricing context and (giving up) UX control Workday Rising - the hot topics of enterprise AI come to a head: it's about pricing, context, and (giving up) UX control https://ift.tt/M7Zt82X Workday Rising - the hot topics of enterprise AI come to a head: it's about pricing, context, and (giving up) UX control

https://ift.tt/M7Zt82X

Workday Rising 2026 is now in full swing: I've had the chance to hone in on the hot AI topics and chase them down for you. The rundown list so far: AI pricing and ROI, context, guardrails, and the high-stakes skirmish for AI UX. 

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

October 14, 2026 at 04:22AM]]></description>
<dc:subject>IFTTT Jon Reed – diginomica</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:b313133f1361/</dc:identifier>
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	<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://diginomica.com/enterprise-hits-and-misses-agentic-harnesses-need-human-gut-check-architectures-need-resilience-and">
    <title>Enterprise hits and misses - agentic harnesses need a (human) gut check, architectures need resilience, and event season rolls on</title>
    <dc:date>2026-10-12T06:49:18+00:00</dc:date>
    <link>https://diginomica.com/enterprise-hits-and-misses-agentic-harnesses-need-human-gut-check-architectures-need-resilience-and</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Enterprise hits and misses - agentic harnesses need a (human) gut check architectures need resilience and event season rolls on Enterprise hits and misses - agentic harnesses need a (human) gut check, architectures need resilience, and event season rolls on https://ift.tt/qLhZxAn Enterprise hits and misses - agentic harnesses need a (human) gut check, architectures need resilience, and event season rolls on

https://ift.tt/qLhZxAn

This week - context and harnesses make agents much better/smarter, but they aren't a cure all... Time for a gut check. AI architectures need resilience, beyond the short-termism. Fall event season rolls on, and so do we. 

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

October 12, 2026 at 02:46AM]]></description>
<dc:subject>IFTTT Jon Reed – diginomica</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:633ea72dcefa/</dc:identifier>
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</item>
<item rdf:about="https://www.constellationr.com/research/blog/strategic-optionality-resilient-and-innovative-architectures">
    <title>Strategic Optionality for Resilient and Innovative Architectures | Constellation Research</title>
    <dc:date>2026-10-11T23:24:32+00:00</dc:date>
    <link>https://www.constellationr.com/research/blog/strategic-optionality-resilient-and-innovative-architectures</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Strategic Optionality for Resilient and Innovative Architectures - via @constellationr Award-winning, Silicon Valley-based research and advisory firm focused on helping early adopters harness the transformative power of exponential technology. "Ecosystem-native architecture starts from that permanence of change. It assumes no single cloud, provider, model, or application environment will remain the center of gravity indefinitely. Different components can enter, leave, or change roles without forcing the enterprise to redesign around each transition. Hybrid infrastructure becomes a permanent operating condition, while the ecosystem around it becomes the architecture rather than something attached to it."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:3753a6e0de5a/</dc:identifier>
</item>
<item rdf:about="https://thenewstack.io/open-weight-open-source-ai/">
    <title>“Don’t use ‘open weight’ and ‘open source’ interchangeably”: Percona CEO on why AI terminology matters - The New Stack</title>
    <dc:date>2026-10-11T06:04:32+00:00</dc:date>
    <link>https://thenewstack.io/open-weight-open-source-ai/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[“Don’t use ‘open weight’ and ‘open source’ interchangeably”: Percona CEO on why AI terminology matters  "O’Brien encouraged Farkas and others to participate, while acknowledging the criticisms already leveled at the original definition.

“The criticisms that have been lodged against open source AI definition ‘one’ are valid,” O’Brien says. “We have to continue that conversation.”]]></description>
<dc:subject>ai models large language open source</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:6a59d25fb6a2/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:ai"/>
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</item>
<item rdf:about="https://www.wsj.com/business/logistics/walmart-automation-robots-warehouses-65f016b2?st=pnWXCZ">
    <title>https://www.wsj.com/business/logistics/walmart-automation-robots-warehouses-65f016b2?st=pnWXCZ</title>
    <dc:date>2026-10-11T00:34:06+00:00</dc:date>
    <link>https://www.wsj.com/business/logistics/walmart-automation-robots-warehouses-65f016b2?st=pnWXCZ</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[For Walmart, Replacing Humans With Robots Is a Multibillion-Dollar Struggle Machines programmed to sort merchandise in warehouses hit kinks with cardboard boxes and turkeys. “We are kind of in this peak complexity.” "Problems have multiplied. The cardboard shipping boxes Walmart has used for years are too big for the automated systems. The miniature robots that shuttle goods break down too often. The systems can’t accommodate some oversize products, such as big bags of dog food."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:8b8e784f9423/</dc:identifier>
</item>
<item rdf:about="https://upperedge.com/artificial-intelligence/buying-agentic-ai-services-what-experienced-buyers-need-to-recalibrate/">
    <title>Buying Agentic AI Services: 13 Principles for Buyers</title>
    <dc:date>2026-10-11T00:14:28+00:00</dc:date>
    <link>https://upperedge.com/artificial-intelligence/buying-agentic-ai-services-what-experienced-buyers-need-to-recalibrate/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Buying Agentic AI Services: What Experienced Buyers Need to Recalibrate - via @UpperEdge Buying agentic AI services? Your ERP and cloud disciplines still apply, but the evidence has changed. Get 13 principles for experienced buyers. ]]></description>
<dc:subject>artificial intelligence agentic ai transformation procurement buying services rfp evaluation si proposals systems integrators governance</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:4e915b5af3c9/</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://www.fastforward.blog/fastforward-81-ai-still-has-a-major-trust-problem/">
    <title>FastForward #81: AI still has a major trust problem.</title>
    <dc:date>2026-10-10T23:54:39+00:00</dc:date>
    <link>https://www.fastforward.blog/fastforward-81-ai-still-has-a-major-trust-problem/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[FastForward #81: AI still has a major trust problem. - by @ron_miller Hi everyone. Can't believe it's fall and the leaves are starting to turn outside my office window already. I’d like to thank Akamai once again for supporting FastForward for the last four issues. If you're interested in advertising, please drop me a line at ads@fastforward.blog. If you like what you see, please share this week’s edition with a friend, and encourage them to subscribe. It really helps.💌 Sign up here.


ForwardThinking 🤔


AI still has a major trust problem

But something is happ ]]></description>
<dc:subject>newsletters</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:08fd8aa6aca8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:newsletters"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://blog.aheadcrm.co.nz/2026/10/sap-connect-2026-autonomous-cx-steps.html">
    <title>SAP Connect 2026: Autonomous CX Steps Out of the Kitchen</title>
    <dc:date>2026-10-10T23:44:20+00:00</dc:date>
    <link>https://blog.aheadcrm.co.nz/2026/10/sap-connect-2026-autonomous-cx-steps.html</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[SAP Connect 2026: Autonomous CX Steps Out of the Kitchen - by @twieberneit CRM, social CRM, CX, digital disruption, customer experience, customer engagement, customer service, IoT, AI, MachineLearning, bots, chatbots, AI, gen "After the main keynote, I reiterated my stance that SAP treats CX as its Cinderella. Th CX keynote showcased why this needs to change. SAP CX is absolutely competitive, which is not seen by a wide enough audience.

SAP CX delivered the best keynote I have attended in quite some time. It was aimed at the right audience, with the right message. It was sharp, concise, relevant and delivered well. It spoke to the people who matter in the enterprise, the users. The marketer, the account manager and the service manager, the people who use these systems on a day-by-day basis, and left the executive as the punchline: “Boom, you’re welcome, CRO.” It sums up the pitch: make the user’s day work, then the revenue follows. SAP’s own customer research makes the same point from the buyer’s side, though its percentages should be treated as directional."]]></description>
<dc:subject>agentic ai analysis autonomous enterprise sap connect cx strategy</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:3b4843ca0d84/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:agentic"/>
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</item>
<item rdf:about="https://venturebeat.com/security/anthropic-documented-a-new-problem-for-security-teams-attacks-that-can-adapt-while-theyre-underway">
    <title>https://venturebeat.com/security/anthropic-documented-a-new-problem-for-security-teams-attacks-that-can-adapt-while-theyre-underway</title>
    <dc:date>2026-10-10T23:44:20+00:00</dc:date>
    <link>https://venturebeat.com/security/anthropic-documented-a-new-problem-for-security-teams-attacks-that-can-adapt-while-theyre-underway</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[How AI changes attacks while they're underway - by @louiscolumbus  "An attacker built AI agents designed to rebuild malware whenever security tools flagged it. In a separate operation, a suspected ShinyHunters affiliate went from a stolen developer token to full administrative control of a victim's cloud environment in about three hours. Anthropic documented both operations in its September threat report.

For security teams, detection doesn't necessarily stop the attack: Malware can be rebuilt, and stolen AI credentials can be used to run further intrusions at the account owner's expense."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:6186d1a75d58/</dc:identifier>
</item>
<item rdf:about="https://jonerp.podbean.com/e/the-sap-connect-2026-show-review-with-josh-greenbaum/">
    <title>The SAP Connect 2026 show review - with Josh Greenbaum | Busting the omnichannel - enterprise hacks and chats</title>
    <dc:date>2026-10-10T09:09:38+00:00</dc:date>
    <link>https://jonerp.podbean.com/e/the-sap-connect-2026-show-review-with-josh-greenbaum/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[The SAP Connect 2026 show review - with Josh Greenbaum The SAP Connect 2026 show review - with Josh Greenbaum https://ift.tt/XPmigJh The SAP Connect 2026 show review - with Josh Greenbaum

https://ift.tt/XPmigJh

Jon's familiar foil Josh Greenbaum took off on a plane before the guys could record an on-site event review. Instead, they hopped on a post-event video call to break down whether SAP Connect 2026 lived up to expectations, and delivered for customers. The two compare notes on what they dug up on the ground, including Josh's customer views and Jon's AI geek outs. The biggest topic? How did SAP fare bringing the customers along - and not just the so-called "keynote luminaries," but the rest of the attendees and customers beyond? Why was SAP positioning so hard against "generic models"? Will customers embrace the data and process discipline of ERP modernization? And is "the end of three year migrations" a real thing, or just a vision? There are just some of the topics the guys air out... before wrapping with the always-potent topic of AI pricing and how customers will assess AI investments. To keep things spicy, Jon blows a couple of small gaskets along the way on AI misconceptions.

via Busting the omnichannel - enterprise hacks and chats https://ift.tt/qRA0wJj

October 10, 2026 at 05:02AM]]></description>
<dc:subject>IFTTT Busting the omnichannel - enterprise hacks and chats</dc:subject>
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</item>
<item rdf:about="https://jonerp.podbean.com/e/sap-connect-watch-party-recap-pregame-and-postgame-review-edition/">
    <title>SAP Connect Watch party recap - pregame and postgame review edition | Busting the omnichannel - enterprise hacks and chats</title>
    <dc:date>2026-10-10T08:49:36+00:00</dc:date>
    <link>https://jonerp.podbean.com/e/sap-connect-watch-party-recap-pregame-and-postgame-review-edition/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[SAP Connect Watch party recap - pregame and postgame review edition SAP Connect Watch party recap - pregame and postgame review edition https://ift.tt/YkMbGSo SAP Connect Watch party recap - pregame and postgame review edition

https://ift.tt/YkMbGSo

For the SAP Connect 2026 opening keynote, Jon Reed was joined by Josh Greenbaum and Bonnie Duncan Tinder for their annual Connect watch party. Here, you can listen to the pregame and postgame reviews of a keynote that surprised all three of them. Pregame runs until 15:25; postgame runs until the end of the keynote for six more minutes of recap. You can see the full watch party including the keynote on LinkedIn at https://ift.tt/69ouiST. This was a high stakes keynote for SAP - did they accomplish what we thought they should? Where did they fall short? What did they get right? We recap.

via Busting the omnichannel - enterprise hacks and chats https://ift.tt/qRA0wJj

October 10, 2026 at 04:36AM]]></description>
<dc:subject>IFTTT Busting the omnichannel - enterprise hacks and chats</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:77a628033a79/</dc:identifier>
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</item>
<item rdf:about="https://jonerp.podbean.com/e/enterprise-month-in-review-human-talent-versus-machines-a-non-doomsday-edition/">
    <title>Enterprise month in review - human talent versus machines, a (non) Doomsday edition | Busting the omnichannel - enterprise hacks and chats</title>
    <dc:date>2026-10-10T08:34:23+00:00</dc:date>
    <link>https://jonerp.podbean.com/e/enterprise-month-in-review-human-talent-versus-machines-a-non-doomsday-edition/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Enterprise month in review - human talent versus machines a (non) Doomsday edition Enterprise month in review - human talent versus machines, a (non) Doomsday edition https://ift.tt/P1xAEq8 Enterprise month in review - human talent versus machines, a (non) Doomsday edition

https://ift.tt/P1xAEq8

Yep, it's that time. The Enterprise Month in Review is back and ready for your hot takes and savvy participation. As usual, Brian and Jon have our underrated stories of the month (Jon blows a bit of a gasket on autonomous agents). We'll also have a bit of AI Doomsday audience participation, and a research reveal on human talent and leadership to riff on. As always, Brian's infamous slide deck will be back. Note: if you want to check the slide deck, you see see the video replay at: https://www.youtube.com/watch?v=2-Xy8MVL5gw.

via Busting the omnichannel - enterprise hacks and chats https://ift.tt/qRA0wJj

October 10, 2026 at 04:23AM]]></description>
<dc:subject>IFTTT Busting the omnichannel - enterprise hacks and chats</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:2bba365308c8/</dc:identifier>
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</item>
<item rdf:about="https://diginomica.com/sap-connect-2026-sap-leadership-responds-hot-ai-issues-and-explains-why-generic-models-fall-short">
    <title>SAP Connect 2026 - SAP leadership responds to hot AI issues, and explains why &quot;generic models&quot; fall short</title>
    <dc:date>2026-10-08T08:49:09+00:00</dc:date>
    <link>https://diginomica.com/sap-connect-2026-sap-leadership-responds-hot-ai-issues-and-explains-why-generic-models-fall-short</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[SAP Connect 2026 - SAP leadership responds to hot AI issues and explains why "generic models" fall short SAP Connect 2026 - SAP leadership responds to hot AI issues, and explains why "generic models" fall short https://ift.tt/aerjshp SAP Connect 2026 - SAP leadership responds to hot AI issues, and explains why "generic models" fall short

https://ift.tt/aerjshp

I left SAP Sapphire Orlando with burning questions unanswered. I got a better result at SAP Connect. How much progress has SAP made on their autonomous enterprise plans? Here's my pick of the five hottest topics - and SAP's responses.

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

October 8, 2026 at 04:40AM]]></description>
<dc:subject>IFTTT Jon Reed – diginomica</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:2d7bbb377d98/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:jonerp/t:–"/>
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</item>
<item rdf:about="https://diginomica.com/sap-connect-2026-burning-questions-preview-how-will-human-talent-and-ai-agents-fare-end-end-mix">
    <title>The SAP Connect 2026 burning questions preview - how will human talent and AI agents fare in the end-to-end mix?</title>
    <dc:date>2026-10-06T07:34:30+00:00</dc:date>
    <link>https://diginomica.com/sap-connect-2026-burning-questions-preview-how-will-human-talent-and-ai-agents-fare-end-end-mix</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[The SAP Connect 2026 burning questions preview - how will human talent and AI agents fare in the end-to-end mix? The SAP Connect 2026 burning questions preview - how will human talent and AI agents fare in the end-to-end mix?  https://ift.tt/HeGUScy The SAP Connect 2026 burning questions preview - how will human talent and AI agents fare in the end-to-end mix? 

https://ift.tt/HeGUScy

As I type this, SAP Connect 2026 is set to kick off - and burning questions are in the air. Have customers embraced SAP's autonomous enterprise? Are there project stories to tell? We're about to find out. But first, my talk with SAP's Lara Albert hits an underrated theme: getting the talent and automation mix right. 

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

October 6, 2026 at 03:28AM]]></description>
<dc:subject>IFTTT Jon Reed – diginomica</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:f57d0d43a07e/</dc:identifier>
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</item>
<item rdf:about="https://diginomica.com/enterprise-hits-and-misses-ai-analytics-are-metrics-what-are-we-missing-enterprises-confront-ai">
    <title>Enterprise hits and misses - AI, analytics are metrics - what are we missing? Enterprises confront AI Doomsday narratives, and event season rolls on</title>
    <dc:date>2026-10-05T08:59:18+00:00</dc:date>
    <link>https://diginomica.com/enterprise-hits-and-misses-ai-analytics-are-metrics-what-are-we-missing-enterprises-confront-ai</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Enterprise hits and misses - AI analytics are metrics - what are we missing? Enterprises confront AI Doomsday narratives and even season rolls on Enterprise hits and misses - AI, analytics are metrics - what are we missing? Enterprises confront AI Doomsday narratives, and even season rolls on https://ift.tt/jW0taLR Enterprise hits and misses - AI, analytics are metrics - what are we missing? Enterprises confront AI Doomsday narratives, and even season rolls on

https://ift.tt/jW0taLR

This week - AI, analytics and ROI... What are the metrics missing? Doomsday narratives meet enterprise realities, and something's got to give. Recursive self-improvement is questionable, but cybersecurity is not. As always, your whiffs.

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

October 5, 2026 at 04:54AM]]></description>
<dc:subject>IFTTT Jon Reed – diginomica</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:f4b2c94c8bbc/</dc:identifier>
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</item>
<item rdf:about="https://www.fastforward.blog/atlassian-and-expedia-see-experimentation-as-a-key-part-of-learning-about-ai/">
    <title>Atlassian and Expedia see experimentation as a key part of learning about AI</title>
    <dc:date>2026-10-04T01:24:35+00:00</dc:date>
    <link>https://www.fastforward.blog/atlassian-and-expedia-see-experimentation-as-a-key-part-of-learning-about-ai/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Atlassian and Expedia see experimentation as a key part of learning about AI - by @ron_miller There is an expectation out there, due in large part to the hype around AI, that companies are rolling it out widely and seeing meaningful results. Yet research suggests that most organizations still struggle to scale AI projects beyond pockets of success.

At a panel at HumanX in Amsterdam last week, called Building for the AI Era, I spoke with Avani Prabhakar, chief people and AI enablement officer at Atlassian and Chris Burgess, global VP of technology and deputy CIO at Expedia. The two compa "But Prabhakar says there are lots of aspects of the software engineering job that AI isn't solving right now. "If I talk about left of code before prototyping and if I talk about right of code in terms of maintaining the code, we haven't really seen AI kind of really increasing the output. So it's mostly in the code gen space for software developers."

In terms of non-technical users, she says it's best to give them a goal, a problem to solve, and then ask them to use AI to help, rather than pointing to a model and asking them to have at it. She gave the example of an onboarding agent created by the HR team, which has little technical expertise compared to the developers."]]></description>
<dc:subject>article</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:8568292c8820/</dc:identifier>
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</item>
<item rdf:about="https://thenewstack.io/cve-vulnerability-risk-management/">
    <title>AI is speeding up exploits. Vulnerability spreadsheets can't keep up. - The New Stack</title>
    <dc:date>2026-10-04T01:24:34+00:00</dc:date>
    <link>https://thenewstack.io/cve-vulnerability-risk-management/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[AI is speeding up exploits. Vulnerability spreadsheets can’t keep up. AI is widening the gap between the CVEs teams find and the ones they can fix. Closing it means asking which flaws attackers can actually reach. "Once we know what is actually running, the next step is to evaluate vulnerabilities based on the context that matters. That means looking beyond CVSS.

Threat intelligence can provide important signals. CISA’s Known Exploited Vulnerabilities catalog, or KEV, identifies vulnerabilities known to be exploited. The Exploit Prediction Scoring System (EPSS) estimates the likelihood that a vulnerability will be exploited within a specified timeframe. Those signals can then be combined with production exposure, reachability, configuration, business impact, and how long a vulnerability has remained exposed. The result is a much more useful question for engineering teams: Which vulnerability should we fix first, in this environment, and why?"]]></description>
<dc:subject>ai devops security sponsor-rapidfort sponsored sponsored-post-contributed</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:951b7b0307a0/</dc:identifier>
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</item>
<item rdf:about="https://venturebeat.com/security/nobody-can-compare-the-security-ai-numbers-crowdstrike-google-palo-alto-and-microsoft-published-including-the-cisos-who-are-stuck-with-the-results">
    <title>https://venturebeat.com/security/nobody-can-compare-the-security-ai-numbers-crowdstrike-google-palo-alto-and-microsoft-published-including-the-cisos-who-are-stuck-with-the-results</title>
    <dc:date>2026-10-04T01:19:19+00:00</dc:date>
    <link>https://venturebeat.com/security/nobody-can-compare-the-security-ai-numbers-crowdstrike-google-palo-alto-and-microsoft-published-including-the-cisos-who-are-stuck-with-the-results</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Four security AI bets and how to judge them - by @louiscolumbus A detection rate, a benchmark score and a productivity trial. Four vendors, four architectures, and no common scoreboard before 2027 budgets lock. "Richardson put numbers on the economics in his Fal.Con session. Red Tempest achieved compromise of a test environment for $21 per task, compared with $96 for a closed frontier model and $62 for an open one in a harness. Blue Solano writes a detection rule for three cents, versus $10 with an off-the-shelf model. Compute runs on CoreWeave infrastructure. “We just commoditized defense,” Richardson said. CrowdStrike is the only vendor in this comparison to publish cost-per-task economics. Those figures have not been independently audited. No other vendor provided comparable data."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:24f8c2ae633c/</dc:identifier>
</item>
<item rdf:about="https://www.schneier.com/blog/archives/2026/10/connected-cars-are-a-surveillance-platform.html">
    <title>Connected Cars Are a Surveillance Platform - Schneier on Security</title>
    <dc:date>2026-10-04T01:19:18+00:00</dc:date>
    <link>https://www.schneier.com/blog/archives/2026/10/connected-cars-are-a-surveillance-platform.html</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Connected Cars Are a Surveillance Platform Researchers at Northeastern University, in collaboration with Consumer Reports, evaluated how much modern cars spy in their drivers: To determine this, CR dug through thousands of pages of automakers’ privacy policies and asked questions of 15 different automakers­BMW, Ford, General Motors, Honda, Hyundai, Kia, Mazda, Mercedes-Benz, Mitsubishi, Nissan, Stellantis, Subaru, Tesla, Toyota, and Volkswagen. We also reviewed corporate, regulatory, and legal filings from data brokers operating in the “insurtech” industry­the technology companies and data brokers that help insurance companies set their rates. And we spoke to several car privacy experts, who, at industry conferences and in market reports, have described the profit potential of individual driving data as the “new oil.”... "Basically, your car’s manufacturer has you under constant surveillance, and they use that data against you.

    The companies on the receiving end of your data, our investigation has found, include car insurers and lenders that are partners in “telematics data exchanges,” which compile driving data on millions of drivers, thousands of data brokers that create personalized risk scores, companies selling infotainment and WiFi hotspot products, and even local and state government agencies working on planning, traffic, and safety initiatives."]]></description>
<dc:subject>uncategorized cars privacy surveillance</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:87bd8553b5e5/</dc:identifier>
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<item rdf:about="https://upperedge.com/artificial-intelligence/why-a-cautious-agentic-ai-pilot-can-still-create-a-very-large-commercial-commitment-start-small-negotiate-big/">
    <title>Start Small, Negotiate Big: Agentic AI Pilot Contracts</title>
    <dc:date>2026-10-03T22:24:30+00:00</dc:date>
    <link>https://upperedge.com/artificial-intelligence/why-a-cautious-agentic-ai-pilot-can-still-create-a-very-large-commercial-commitment-start-small-negotiate-big/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Why a Cautious Agentic AI Pilot Can Still Create a Very Large Commercial Commitment: Start Small. Negotiate Big. Already running an agentic AI pilot? The production decision is your biggest leverage point. Learn how to negotiate SI, cloud, and model provider terms. ]]></description>
<dc:subject>artificial intelligence agentic ai contracts transformation governance pilots vendor negotiation amazon bedrock cloud commitments it sourcing strategy system integrators</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:e80e864567d2/</dc:identifier>
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</item>
<item rdf:about="https://andvijaysays.com/2026/09/28/when-agents-become-abundant-boundaries-become-scarce/">
    <title>When Agents Become Abundant, Boundaries Become Scarce – And Vijay Says…</title>
    <dc:date>2026-10-03T22:14:23+00:00</dc:date>
    <link>https://andvijaysays.com/2026/09/28/when-agents-become-abundant-boundaries-become-scarce/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[When Agents Become Abundant, Boundaries Become Scarce - by @vijayasankarv Imagine an insurance claims agent that can settle anything below $10,000. It stays inside its sandbox, uses only approved systems, never exposes a credential and never makes an unauthorized network… "In Migrating Scarcity, I argued that making one capability abundant does not eliminate scarcity. It exposes the next constraint that the newly abundant capability still depends on.

We can already see that happening with agents. Execution itself is becoming dramatically cheaper. Code can be generated, systems can be called and actions can be initiated without waiting for the human effort that used to sit in the middle."]]></description>
<dc:subject>uncategorized</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:51b79a65d4d5/</dc:identifier>
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</item>
<item rdf:about="https://emeraldbook.org/news/sep-1626/">
    <title>How a New Princeton Study Debunked AI Self-Improvement Alarmism – Emerald Book</title>
    <dc:date>2026-10-01T05:44:07+00:00</dc:date>
    <link>https://emeraldbook.org/news/sep-1626/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[How a New Princeton Study Debunked AI Self-Improvement Alarmism – Emerald Book ◆ Emerald Pages ◆ artificial intelligence How a New Princeton Study Disproves AI Self-Improvement Alarmism Emerald Book Publication September 16, 2026 7 min read A landmark Princeton study proves current AI models cannot recursively self-improve, exposing both the industry's grand promises and its whistleblower panic as fundamentally disconnected from how the technology actually works. Photo: ]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:fc71b6ebe57c/</dc:identifier>
</item>
<item rdf:about="https://34ab012c-f200-4706-84a6-910108839ea7.libsyn.com/executive-intelligence-workdays-gerrit-kazmaier-on-facing-down-the-saaspocalypse-and-why-workday-had-to-change-before-agentic-ai-took-hold">
    <title>Executive Intelligence - a diginomica podcast series</title>
    <dc:date>2026-09-30T22:59:49+00:00</dc:date>
    <link>https://34ab012c-f200-4706-84a6-910108839ea7.libsyn.com/executive-intelligence-workdays-gerrit-kazmaier-on-facing-down-the-saaspocalypse-and-why-workday-had-to-change-before-agentic-ai-took-hold</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Executive Intelligence podcast from @diginomoica - @Workday's Gerrit Kazmaier on facing down the SaaSpocalypse, and why Workday had to change before agentic AI took hold - with @jonerp After a recent taste of market vindication against the SaaSpocalypse, diginomica's Jon Reed sat down with Workday's Gerrit Kazmaier, President, Product and Technology at Workday, for a candid look at how Workday has achieved agentic traction with customers - and the obstacles still to overcome. As Kazmaier explains, for Workday to gain external momentum, the company had to make significant internal changes first. Another vital lesson? Paring down the number of agents in favor of a different platform strategy. Enterprise AI is at an adoption crossroads - how can we get this right? Time to dig in. "After a recent taste of market vindication against the SaaSpocalypse, diginomica's Jon Reed sat down with Workday's Gerrit Kazmaier, President, Product and Technology at Workday, for a candid look at how Workday has achieved agentic traction with customers - and the obstacles still to overcome. As Kazmaier explains, for Workday to gain external momentum, the company had to make significant internal changes first. Another vital lesson? Paring down the number of agents in favor of a different platform strategy. Enterprise AI is at an adoption crossroads - how can we get this right? Time to dig in."]]></description>
<dc:identifier>https://pinboard.in/u:jonerp/b:06f25c849434/</dc:identifier>
</item>
<item rdf:about="https://diginomica.com/executive-intelligence-podcast-workdays-gerrit-kazmaier-facing-down-saaspocalypse-and-why-workday">
    <title>Executive Intelligence podcast - Workday's Gerrit Kazmaier on facing down the SaaSpocalypse, and why Workday had to change before agentic AI took hold</title>
    <dc:date>2026-09-30T15:24:11+00:00</dc:date>
    <link>https://diginomica.com/executive-intelligence-podcast-workdays-gerrit-kazmaier-facing-down-saaspocalypse-and-why-workday</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Executive Intelligence podcast - Workday's Gerrit Kazmaier on facing down the SaaSpocalypse and why Workday had to change before agentic AI took hold Executive Intelligence podcast - Workday's Gerrit Kazmaier on facing down the SaaSpocalypse, and why Workday had to change before agentic AI took hold https://ift.tt/oFqjNM5 Executive Intelligence podcast - Workday's Gerrit Kazmaier on facing down the SaaSpocalypse, and why Workday had to change before agentic AI took hold

https://ift.tt/oFqjNM5

Is it SaaSpocalypse vindication time? Not yet - for Workday, or for me. But now that Workday is getting agentic AI traction with customers, it's definitely time to ask: what's working, and why? As Gerrit Kazmaier reveals, for Workday to gain momentum, the company had to make significant internal changes first. Time to listen in...

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

September 30, 2026 at 11:21AM]]></description>
<dc:subject>IFTTT Jon Reed – diginomica</dc:subject>
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</item>
<item rdf:about="https://www.youtube.com/watch?v=2-Xy8MVL5gw">
    <title>Enterprise month in review - human talent versus machines, a (non) Doomsday edition - YouTube</title>
    <dc:date>2026-09-29T19:04:42+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=2-Xy8MVL5gw</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Enterprise month in review - human talent versus machines a (non) Doomsday edition Enterprise month in review - human talent versus machines, a (non) Doomsday edition https://www.youtube.com/watch?v=2-Xy8MVL5gw Enterprise month in review - human talent versus machines, a (non) Doomsday edition

https://www.youtube.com/watch?v=2-Xy8MVL5gw

Yep, it's that time. The Enterprise Month in Review is back and ready for your hot takes and savvy participation. As usual, Brian and Jon will have our underrated stories of the  month. We'll also have a bit of AI Doomsday audience participation, and a research reveal on human talent and leadership to riff on. As always, Brian's infamous slide deck will be back. See you on Friday!

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

September 29, 2026 at 02:46PM]]></description>
<dc:subject>IFTTT Jon Reed of diginomica</dc:subject>
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</item>
<item rdf:about="https://diginomica.com/enterprises-hits-and-misses-are-knowledge-graphs-missing-piece-ai-context-and-agentic-security">
    <title>Enterprises hits and misses - are knowledge graphs the missing piece in AI context, and is agentic security broken, or just mismanaged?</title>
    <dc:date>2026-09-28T10:24:28+00:00</dc:date>
    <link>https://diginomica.com/enterprises-hits-and-misses-are-knowledge-graphs-missing-piece-ai-context-and-agentic-security</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Enterprises hits and misses - are knowledge graphs the missing piece in AI context and is agentic security broken or just mismanaged? Enterprises hits and misses - are knowledge graphs the missing piece in AI context, and is agentic security broken, or just mismanaged?  https://ift.tt/aZKshqc Enterprises hits and misses - are knowledge graphs the missing piece in AI context, and is agentic security broken, or just mismanaged? 

https://ift.tt/aZKshqc

This week - knowledge graphs are getting the agentic buzzword treatment, but how are they faring in the wild? Agentic security is the elephant in the AI adoption room, and Meta's Muse isn't helping - but maybe that's a wake-up call? Event season rolls on, and so do the whiffs.

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

September 28, 2026 at 06:16AM]]></description>
<dc:subject>IFTTT Jon Reed – diginomica</dc:subject>
<dc:identifier>https://pinboard.in/u:jonerp/b:064f6f7779df/</dc:identifier>
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</item>
<item rdf:about="https://thenewstack.io/avoiding-vendor-lock-in/">
    <title>Avoiding vendor lock-in through an open-source approach: a developer’s perspective - The New Stack</title>
    <dc:date>2026-09-28T01:54:19+00:00</dc:date>
    <link>https://thenewstack.io/avoiding-vendor-lock-in/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Avoiding vendor lock-in through an open-source approach: a developer’s perspective Learn how open source helps developers avoid vendor lock-in, protect digital sovereignty, and maintain flexible software architectures. "Digital sovereignty describes how much control an organization has over its infrastructure, data, operations, and technology choices. Sovereignty is a spectrum, and architecture decisions can move an organization a step in either direction.

Recent research by SUSE suggests that almost all enterprises are prioritizing digital sovereignty, but only 52% are actively taking steps toward it. That gap is largely an execution problem, and much of it surfaces in everyday platform decisions. 

If your team supports regulated industries or deploys in on-premises or air-gapped environments, you may be especially familiar with growing pressures around sovereignty."]]></description>
<dc:subject>open source platform engineering software development sponsor-suse sponsored-post-contributed</dc:subject>
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    <title>Meta's Muse Is Better at Surveilling Than Helping Me | WIRED</title>
    <dc:date>2026-09-28T01:44:06+00:00</dc:date>
    <link>https://www.wired.com/story/metas-muse-is-better-at-surveilling-than-helping-me/</link>
    <dc:creator>jonerp</dc:creator><description><![CDATA[Meta's Muse Is Better at Surveilling Than Helping Me The Muse app continues Meta’s trend of opting users into data collection for AI training. It also nudges you to share your bank account, email, and passport information. "Meta’s Muse is a mainstream version of AI agents already popular in Silicon Valley for automating personal tasks, like OpenClaw and Instinct. It’s a hit for the company: the Muse app has been downloaded over 900,000 times in its first week, according to Sensor Tower. The user experience is less like prompting a chatbot, and more like texting a friend with task requests—the AI agent acknowledges messages with a thumbs-up emoji and gets to work in the background. Muse is also available through Meta’s WhatsApp platform."]]></description>
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