AI readiness is about fundamentally re-architecting your data, processes, and teams so you can confidently turn insights into automated action at scale. In this episode of Skai's #RetailMediaThursdays, WPP Media's Lauren Lavin joins the conversation to layout a critical truth: the window for a "wait-and-see" approach to AI has officially closed. The brands finding success aren't just messing around with basic prompts; they are actively building structured, connected, and context-rich data layers that can power autonomous marketing systems. Watch the full episode: https://okt.to/fxbN3h

New video is up. Episode #20 of HubHype! Our co-founder Falk von Rönn joined Erwin Arnold for an in-depth conversation about AI, where it's heading and the impact it's set to have on SaaS and marketing. If you're into HubSpot, data, or curious how AI is reshaping marketing and sales, this one's worth a watch. ▶️ Watch now on YouTube: https://lnkd.in/e4d_6YBr #hubspot #hubhype #AI saas #marketing #hubhype #updates

I know I know, another post-Cannes share about AI. But hear me out…AI systems is not a buzzword. I spoke with ADWEEK's Ryan Joe about how we’re committed to closing the gap between AI as a shiny toy and AI as infrastructure.   Moving past the hype means moving away from one-off, reactive automations. It’s exactly why we’ve built tools like The Machine, to give brands real, compounding systems that scale.   Read more in Ryan's piece: https://lnkd.in/ek9eB9_Q   And learn more about The Machine: https://lnkd.in/ezgZmBqJ

"AI systems" is only a buzzword to people who don't understand what marketers actually need — or the power of systems that compound value over time. Michael Treff gets both, as he shared with Ryan Joe in ADWEEK. The gap between AI as a party trick and AI as infrastructure is exactly what we're committed to closing. It's the thinking behind The Machine, the software we're building to give brands real, compounding systems instead of one-off automations. Not hype. Infrastructure. Read the story in Adweek: https://lnkd.in/e4Ek8M3s

Most attribution dashboards aren’t showing the truth—they’re just showing where broken systems agree. We call it “confidence” when platforms align, but really, it’s just consensus—and often, shared blind spots. What’s wild is how much we now lean on AI to try to “explain” or reconcile that data—as if it can somehow recover truth from signals that were never clean to begin with. If the inputs are messy, AI doesn’t really fix it. It just gets better at summarizing the noise. It’s surprising how rarely we actually question the reliability of the data before we make decisions on top of it. Is “good enough” still the standard, or is this finally starting to break down? #Attribution #DataQuality #MarketingMeasurement #DataConfidence #EvidenceMarketing

Great to see our VP A.J. Camber on TechArena's Data Insights, talking with Allyson Klein and Jeniece Wnorowski about how AI is moving from specialized tooling to something a much broader range of professionals can use, with our Luceta™ AI Software Suite as a working example. Worth a watch if you're curious where that shift is actually showing up. https://lnkd.in/ePQnfgdc #TeamSolidigm

The latest edition of Wholistic Pulse is here. This quarter, we've continued building towards a simpler, more intelligent way to manage delivery. Here's what's inside: 🚀 What we shipped → A refreshed navigation and dashboard experience → Milestone tracking for clearer delivery visibility → AI-generated project reports built from your project context ⏳ What we're building → MCP support to enable AI-assisted actions within Wholistic → An AI Review Assistant that helps teams validate reports before they're shared 📝 From our blog → The updated Wholistic User Guide → From Consulting to Product: When Services Reveal a System Gap → How Non-Tech Teams Can Use Wholistic Without Technical Training → What Execution Really Looks Like Behind the Scenes Every release moves us closer to our goal: helping teams understand delivery as it happens, not after the fact. Read the latest edition of Wholistic Pulse and see what's live, what's next, and the thinking shaping where we're headed. 🔗 Read the newsletter: https://lnkd.in/eA6TdukP #WholisticWork #DeliveryOps #ProductManagement #ProjectDelivery #AI #WorkflowManagement #ProductUpdates

We have officially entered the age of Generative Engine Optimization (GEO). The traditional model forces you to compete across dozen of blue links. The new model features an AI engine providing a single, verified, and cited recommendation. If your brand isn't the one being cited, you are losing market share to those who are. Rankstar specializes in structuring your digital presence to ensure AI engines trust and recommend your business. 📈 Boost your AI visibility within 30 days. Link in Bio! #GEO #AISearch #B2BMarketing #SearchEvolution #Rankstar #DigitalStrategy

It's always a great day when we can highlight a client success! Leveraging TempWorks and Whippy, Staffworks is seeing operational savings of more than $1M per year. Even beyond the savings, by utilizing TempWorks native generative AI tool, #SystemIQ, in addition to Whippy's suite of AI and automations, the Staffworks team is free to focus on the crucial, person-to-person connections that drive staffing success. Thanks to Todd Consilio and the team at Staffworks for exemplifying the possibilities of AI and automation within the TempWorks ecosystem! Read more about the Staffworks success story here: https://lnkd.in/gYKFaAQy #StaffingIndustry #ClientSuccess #AIinStaffing

The teams we talk to keep running into the same problem: they treat AI-ready data as a project, when it's really a decision made earlier. The decision is to connect your systems properly before you build anything on top. Do that, and the AI has something solid to run on. Skip it, and you're piecing data together by hand every time someone wants an answer. Rayven connects what you already use, in real-time, without ripping anything out. The AI data fabric sits across the systems you already run, so what you build on top actually works. More on how that works here. #aiDataFabric #operationalSoftware #industrialAI