Mark Lawler

Most AEM Guides implementations don't fail at launch. They fail months later, when the structural decisions that were skipped at the start begin to compound into real operational debt. Broken metadata. Taxonomy that cannot scale across product lines or locales. Content models that were never designed to grow with the business. The solution is not reactive. It is foundational. Defining your taxonomy, establishing your metadata schema, and building content models that hold up at enterprise scale before the first piece of content is ever created. That is where Hashout starts. Every engagement, every implementation, every time. Build once. Scale with clarity. #AEMGuides #AdobeExperienceCloud #ContentArchitecture #HashoutTech

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We’re proud to share that the City of Sacramento is moving from Documentum to the cloud-based CARA Platform, serving as the single source of truth for official records across 17 municipal departments. From planning permits to historical archives, CARA is streamlining search, routing, and retention while paving the way for AI-powered tools like chat-based search, document classification, and automated workflows. Read the full announcement : https://lnkd.in/eyaXHsvu #publicsector #CARAPlatform #cloud #contentmanagement #AI

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Faster Salesforce releases in the public sector start with better testing. In this webinar, Zachary Bayer, Stefan Mohapp, and Evan Bartlik walk through a practical, phased framework for moving from manual UAT to scalable, low-code automation—built specifically for public sector teams that need speed without sacrificing compliance or control. The session covers how agencies are modernizing testing, reducing manual effort, and building confidence into every release without taking on a heavy lift. If you’re still relying on spreadsheets or manual testing to get Salesforce releases out the door, this is worth a watch. Watch on YouTube: https://ow.ly/J8xN50Y5CcX Explore more resources: https://ow.ly/ZWpC50Y5CcY #PublicSector #SalesforceTesting #SalesforceDevOps #Copado

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Legacy CMS is officially slowing you down. 77% of organizations are planning to modernize legacy apps in the next two years because monolithic CMSs can't deliver - with 80.6% of devs juggling multiple tools and over half deploying code daily or even hourly. Speed and agility aren’t optional, they’re survival. Time’s up. Discover your next steps in the IDC whitepaper NOW: https://okt.to/tGuiXp

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Modernizing in regulated environments requires more than speed; it requires control. Today, we announced Nintex K2 (5.9), strengthening customization, accessibility, and integration capabilities for organizations running complex, on-premises workflows. As data sovereignty and compliance demands grow, automation platforms must adapt to enterprise requirements, not the other way around. K2 (5.9) continues our commitment to secure, flexible, enterprise-grade orchestration. Read the full announcement: https://lnkd.in/gyuExeNA #Nintex #K2 #ProcessAutomation #AI

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Code has no borders. 🌏 With customer instrumentation, your only constraint is your imagination. Check out this episode of #DataSessionsUnplugged 🔌, featuring New Relic Principal Solutions Consultant Aron Marden, who dives into the power of code. Get ahead of the game. Do anything with code.

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ICYMI: Tanium Director of Product Management Steven Yang and Product Manager Kat Ale joined #TaniumTechTalks to discuss adaptive actions for #TaniumAEM. “What adaptive actions are really going to help [customers] do is address [risks] by setting up automations for progressively rolling out updates and changes.” Learn how to address your risk and compliance challenges through adaptive actions, and… ⭐️ Eliminate manual ring-based deployments ⭐️ Define multiple deployment plans by success criteria & computer groups ⭐️ See detailed successes and failures by rings and endpoints Learn more: https://bit.ly/407JeD5

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A US automaker was ready to modernize ERP across the US and EU—but testing stood in the way. Multiple tools, siloed teams, and complex systems slowed progress. That’s when HTC stepped in. With an AI-led, no-code automation framework powered by Tricentis Tosca, we unified testing across SAP, Oracle, Salesforce, MS Dynamics, and more—accelerating delivery and simplifying complexity. Self-healing scripts, smart accelerators, and seamless integration turned testing into a growth enabler. The impact? 75% faster implementation, 65% automation realized, and one-click execution for business teams. Check out: https://lnkd.in/eequC2af #Automotive #ERP #Testing #SuccessStory #Automation #HTCGlobalServices

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We are excited to be among the select companies invited to the Southern California Edison (SCE) Grid Digitization Summit. From day one, we have been laying the foundation for a truly horizontal infrastructure company at the forefront of embedding controlled AI in some of the most critical paths. An opportunity to collaborate on America’s grid resilience, turning data and models into actionable frameworks that empower field and technical teams to deliver reliable, clean energy, is paramount. Our foundational platform, Lemma, is designed to cut through the complexity of legacy systems, transitioning infrastructure from static, disjointed assets to dynamic, autonomous systems. We believe that securing our nation's future requires a new and aggressive but very intentional technological push, one that demands we build secure, AI-native physical infrastructure from the ground up. #CriticalAI #ControlledAI #AIinfrastructure  #TechforCleanEnergy

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📉 There’s a hidden tax in every integration project: poor documentation. Integration teams waste countless hours chasing tribal knowledge, reverse-engineering systems, or working from outdated docs. The result? Slower delivery, more errors, and a drag on business outcomes. In our latest blog, Aaron Kesler unpacks how AI agents are changing the game 🤖 automating documentation, surfacing real-time context, and freeing teams to focus on what really matters: building and delivering value. Read how AI is solving the documentation problem here 👉 https://lnkd.in/exmsG_tG   #AI #DataIntegration #AgenticAI

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GitHub's recent announcement about starting to charge a $0.002 per-minute platform fee for self-hosted runners doesn't directly impact customers who are using GitHub Actions with Nx Agents. The Nx Agents model lets you kick off a job on a lightweight GH runner, then *delegate* the heavy lifting to Nx Agents. The good news is that GitHub's cutting prices on all runners, so even the main job will get cheaper. In other words, Nx–in particular Nx Agents–isn't self-hosted runners. Nx is a platform you delegate your CI workload to from within a lightweight GH runner to make your CI way faster and way more compute-efficient. GitHub announced yesterday that they were postponing the introduction of the platform fee for self-hosted runners, so it remains to be seen if/when the fee will kick in. So for now, it's only good news for all GitHub Actions users because prices are going down. If/when the platform fee kicks in, the biggest impact will be to users of services built specifically to run as self-hosted runners and undercut GitHub's pricing, since pricing will be more on par with what you'd pay to use a GitHub-hosted runner. See the link below for more info on setting up Nx with GitHub Actions. (P.S. not written by AI, I just like em dashes) https://lnkd.in/gMMek4KJ

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Persistent Systems discusses how Cloud Relay™ keeps teams connected by extending the Wave Relay® MANET beyond your local network bubble. Learn how Cloud Relay provides transport agnostic connectivity for teams. Cloud Relay routes Wave Relay data over SATCOM or cellular technologies to ensure mobile users remain persistently connected from anywhere in the world. Watch and find out more > > https://hubs.la/Q03KXDjj0 Persistent Systems, LLC

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Recently I went to a local mixer here in Sonoma County and did something radical: I left the AI buzzwords at home and just asked people, “How is technology actually feeling in your business right now?” I heard it all: “Excited, but overwhelmed.” “Curious, but I don’t trust the hype.” “I’d use AI tomorrow… if someone I trust set it up.” Those conversations did more for my roadmap than any online trend report. Face to face, with eye contact, people tell you what they’re really worried about: staff burnout, sloppy data, missed calls, chaos in the back office. That’s where AI actually belongs... quietly fixing the unglamorous problems. If you’re building in AI, go talk to the people on your street, not just your Twitter feed. The answers are usually sitting at the bar table across from you.

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Who needs self-service? In this article, Conduktor’s VP of Engineering, Matt Searle, talks about his own experiences attempting to balance developer autonomy alongside platform stability. His key insight? Govern Kafka, or risk havoc. Read his latest blog—and learn more about how Conduktor can help you implement self-service with guardrails. https://lnkd.in/ejWTRctu

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