Artikel von Eva Schluppkotten
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Creating opportunities with Advanced Marketing Analytics
Creating opportunities with Advanced Marketing Analytics
As marketers, we draw on many different data sources for pretty much all of our day-to-day tasks. Online, offline…
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Eva Schluppkotten hat dies geteiltViele sprechen über AI im Marketing, aber die eigentliche Herausforderung liegt oft dahinter. Wie verbinden wir Daten, Technologie und Fachbereiche so, dass daraus wirklich Wirkung entsteht? Genau hier setzt unser Google Cloud Summit DACH an. In Frankfurt geht es dabei jedoch nicht nur um einzelne Anwendungsfälle im Marketing, sondern um das Zusammenspiel von Business, IT und Data. Marketing ist ein wichtiger Teil davon, aber eben nicht isoliert. Am ersten Tag bekommst du Einblicke, wie Unternehmen AI heute bereits einsetzen – auch im Marketing. Am zweiten Tag geht es in die Umsetzung, mit Sessions, die zeigen, wie sich Tools wie Gemini, Veo oder Lyria konkret nutzen lassen. Der Mehrwert entsteht vor allem dann, wenn Teams gemeinsam kommen und die Perspektiven zusammenbringen. Frankfurt | 9.–10. Juni 2026 – Bist du dabei? 🎟️ Jetzt anmelden: https://ow.ly/Uav850YBIIT
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Eva Schluppkotten hat dies geteiltYou can now appear in AI-generated content, without ever being on camera. 🎬 Google's Gemini avatar feature lets you create a digital version of yourself from a short video clip. Once set up, your avatar can present content, deliver messages, or star in AI-generated videos, all without you filming a single new take. For marketers and creators, this changes the game. Need a quick product explainer? A localized version of your campaign? Your avatar handles it while you focus on the strategy behind it. The implications for teams are real: faster content cycles, lower production costs, and the ability to scale personalized video across channels in ways that weren't practical before. This isn't about replacing the human element, it's about removing the friction that slows creative work down. ✨ Have you thought about how avatar-driven content could fit into your marketing workflow? I'd love to hear how your team is approaching AI content creation right now. https://ow.ly/fy4050YBrBfGemini avatar lets you appear in AI content without filming yourselfGemini avatar lets you appear in AI content without filming yourself
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Eva Schluppkotten hat dies geteiltManipulation online is getting harder to spot, and that's why AI needs to step in. 🛡️ For years, bad actors have used psychological tactics to nudge people toward decisions that aren't in their best interest. Dark patterns, deceptive framing, emotionally exploitative content, it's subtle, scalable, and hard to catch at speed. That's where Google DeepMind's latest work comes in. Their research focuses on identifying and protecting people from harmful manipulation across digital environments, using AI not just to detect content, but to understand intent and impact on real users. No, that's not about restricting the internet but about building systems that can tell the difference between persuasion and exploitation. Between a compelling ad and a manipulative one. That distinction matters enormously for customers, for trust, and for the long-term health of the digital ecosystem. As marketers, we have a stake in this too, because the tools we use to reach people should never come at the cost of their autonomy. 🤝 How is your team thinking about ethical AI use in customer communication? Is it part of your strategy yet, or still on the to-do list? https://ow.ly/GE7S50YAwbT
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Eva Schluppkotten hat dies geteiltGetting good results from image generation often turns into a cycle of trial, tweak, repeat 🎨 Google just shared a detailed prompting guide for Nano Banana, our Gemini-based image generation model. The guide is based on weeks of internal testing to understand how the models interpret prompts and what actually improves image quality. One key takeaway: prompts work best when they describe a scene clearly instead of listing keywords. The guide recommends structuring prompts around elements like subject, action, context, composition, and style. In other words, instead of throwing words at the model, you explain the visual you want it to create. Nano Banana models are built on the Gemini 3 family, and rely on deeper reasoning to interpret prompts before generating the image. They can also use real-time information from web search, support multiple reference images in a prompt, and generate visuals up to 4K resolution. Curious how others approach this in practice: do you write detailed prompts from the start, or do you refine them step by step until the image looks right? https://ow.ly/L0Pc50YxwJw
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Eva Schluppkotten hat dies geteiltCreating a full presentation, doc, or spreadsheet used to take hours. Not anymore. ✨ Gemini just got a serious upgrade across Google Workspace, and if you work in Docs, Sheets, Slides, or Drive daily, this one's worth your attention. Here's what's new: 📄 In Docs, Gemini can now help you write, reformat, and refine content faster, directly in your flow of work. 📊 In Sheets, multi-step edits happen from a single prompt. Describe what you need, done. 🎨 In Slides, generating polished visuals and layouts no longer requires a design background. What I find most exciting is the shift in how teams actually work. Less time wrestling with formatting and structure, more time thinking about the actual message, strategy, or insight you're trying to communicate. For marketing teams especially, this is a game-changer. Faster iteration, better output, fewer bottlenecks between idea and execution. Try it and tell me: which Workspace app do you spend the most time in, and what would you automate first? https://ow.ly/Heyf50YxiGW
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Eva Schluppkotten hat dies geteiltMost marketing teams don't lack ambition. They lack the infrastructure to act on it fast enough. That's what keeps coming back to me when I look at where AI is actually delivering in enterprise settings. It's not the model that makes the difference, it's how cleanly data flows into it. What I'm seeing with teams using Gemini Flash Lite: faster iteration, lower cost per insight, and the ability to run more experiments without waiting on IT cycles. For marketing, that matters enormously and goes far beyond content generation. We're talking about real-time personalization, smarter campaign signals, and decisions that used to take days now taking minutes. The teams winning right now aren't the ones with the biggest budgets. They're the ones who stopped treating AI as a separate initiative and started embedding it directly into how they work across data, creative, and customer experience. The question every marketer should ask him-/herself is: are we building for what's possible today, or still designing for the constraints of two years ago? 👉 What's the one workflow in your team where faster AI inference would change everything? I'd love to hear where you're feeling the friction. https://ow.ly/yNeq50Yvjja
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Eva Schluppkotten hat dies geteilt77% of German marketers are already using AI. But here's what separates good results from game-changing impact: AI-powered personalization that actually scales. 🎯 The data tells the story: 📈 Engagement rates up by 50% with AI personalization 📊 92% of service organizations report higher revenue since implementing AI in CRM ✨ High-performing marketing teams are 5.4x more likely to have fully integrated AI This isn't about adding AI to your stack. It's about fundamentally transforming how marketing works – from creative campaigns to customer experience. What we're seeing work in DACH: Marketing teams using AI to scale personalized experiences across channels ✓ GenAI tools integrated into digital workplace platforms (43.7% adoption) ✓ CRM systems that deliver hyperpersonalization, not just automation ✓ Our new eBook brings together real examples from the region – showing how organizations turn AI investment into measurable marketing ROI. Because the future of marketing isn't just data-driven. It's AI-native. Download the eBook here https://ow.ly/BGLB50Yvjgc
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Eva Schluppkotten hat dies geteiltThis is what I'm picturing for 2026. 📸 Okay, maybe AI got a bit creative with this one – but the excitement? That's real. The Google Cloud Summit DACH 2026 is coming to Frankfurt, and it's going to be our biggest yet. What to expect: 🚀 Bold ideas that push boundaries 🛠️ Hands-on product sessions you can actually use 🎓 In-depth masterclasses for leaders, decision makers, and developers 🤝 Connections that matter – with innovators across Germany, Austria, and Switzerland Whether you're leading transformation, building solutions, or exploring what's next in AI and cloud – this is your event. Mark your calendars. Get your teams ready. And most importantly: I can't wait to see you there! 💡 Registration opens soon. Let's make this one unforgettable. https://ow.ly/EScX50YuIun
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Eva Schluppkotten hat dies geteiltKI, die dich wirklich kennt: Der Unterschied zwischen einem generischen Chatbot und einem echten Assistenten. Gemini Personal macht genau das möglich: Eigene Google-Daten, etwa aus Gmail, Kalender, Drive oder Fotos, werden direkt in die Antworten einbezogen. Keine Copy-Paste-Aktionen mehr, kein manuelles Zusammensuchen von Kontext. Die KI antwortet nicht mehr nur auf die gestellte Frage, sondern auf deine Situation. Konkretes Beispiel: Ich frage nach meinem nächsten Termin und erhalte gleich die passenden Dokumente dazu. Das spart echte Zeit und macht den Unterschied zwischen "gut" und "wirklich nützlich". Habt ihr Gemini Personal schon ausprobiert? https://ow.ly/eLMF50Yr8k6
Eva Schluppkotten hat auf einen Kommentar geantwortet
6 Tage
Hugo Montiel Agree! To me, yes, it is definitely about freeing up brainspace for the strategic questions we should be asking.
Eva Schluppkotten hat auf einen Kommentar geantwortet
6 Tage
Goswijn Thijssen Polishing?😅 More like getting started! 💃
Eva Schluppkotten hat auf einen Kommentar geantwortet
1 Woche
Sandra Klumpen Yay - so excited to have you with us! ☺️
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Eva Schluppkotten hat darauf reagiertEva Schluppkotten hat darauf reagiertJust wrapped up an incredible week at the Okta HQ in San Francisco for our latest xDR Onboarding! 🌟 There is nothing quite like the energy of a room full of new recruits. Getting to spend time with this cohort was a highlight—their drive, curiosity, and sharp insights honestly gave me a bit of imposter syndrome! 😅 From deep dives into our product strategy to mastering the art of the discovery call, these new starters are hitting the ground running. It’s clear that the future of Okta is in very capable hands. Welcome to the team! I can’t wait to see the impact you all make. 🚀 Steve Finch Scott Kendall Vivien Chew Lillie Smith Marisol Greco @sarahjosway Charlotte Palfrey Barry Greene Declan Corcoran Ross Wainer Kevin McGrath Stephanie Achi-Vitols Claudio Ventimiglia Milica Bjelic Lauren Danke Kelly Mahoney #Okta #LifeAtOkta #SalesEnablement #SanFrancisco #xDR #Onboarding
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Eva Schluppkotten hat darauf reagiertEva Schluppkotten hat darauf reagiertWann habt ihr mich zum letzten Mal mit einer Krawatte gesehen? 👔 Gemini macht's möglich. Und wenn wir schon dabei sind, Unmögliches möglich zu machen: Der Google Cloud Summit DACH 2026 kommt nach Frankfurt, und das wird unser größtes Event bisher. Was mich am meisten freut? Die Customer Stories, die wir zeigen werden. Nicht die theoretischen Use Cases aus der Präsentation, sondern was wirklich funktioniert. Unternehmen, die KI in Production haben. Teams, die Agents nicht nur pilotiert, sondern skaliert haben. Messbare Ergebnisse, nicht nur Demos. Und natürlich die Gespräche drumherum. Die besten Insights kommen nicht auf der Bühne, sondern wenn man nach einer Session mit jemandem aus einer komplett anderen Branche über die gleichen Herausforderungen spricht. Cloud Migration. AI Governance. Wie kriegen wir das eigentlich in unsere Prozesse? Für alle, die ihre Kunden fragen "Was macht ihr eigentlich mit KI?" und ehrliche Antworten hören wollen: Frankfurt wird der richtige Ort sein. Und nein, die Krawatte bleibt virtuell. Manche Grenzen sollte auch KI nicht überschreiten. Wir sehen uns! 🚀 https://ow.ly/JQzv50YxiJ8
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Thomas Gaida
Thomas Gaida
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