B2B ad examples

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QwenWork is now live — the all-in-one AI productivity platform built for global teams. It turns briefs into finished documents, slides, and web pages — and generates images, audio, and video in one place, so your team members don't jump between AI tools. Analyze data reports, process complex spreadsheets, and let AI deliver polished decks while you focus on the work that matters. Take your team and give it a try — let AI take care of the repetitive, time-consuming work ✨. 🔗: https://lnkd.in/eDkDJ5Qg #QwenWork #AI #AIAgent

Deploy AI agents in your private cloud with guaranteed 24-hour implementation. Join 80+ Fortune 2000 companies using secure, customizable AI that improves automatically with each interaction.

Enterprise AI agents drive results, but scaling them affordably remains complex. This comprehensive guide reveals proven strategies to deploy and scale AI agents directly with business users while controlling costs and maintaining enterprise security controls.

And the model still hallucinates. Frontier model costs don't scale linearly. They explode. Inference, fine-tuning, context bloat, hidden tiers, failure incidents: most teams price the POC and discover the reality at production. This calculator breaks down all five cost categories. Month-by-month projections. CFO-ready output. A 3-year TCO comparison that shows where specialized models win. 92% of tasks don't need frontier reasoning. You're paying like they do. Get the True Cost Calculator.

Your customers are comparing you to competitors. In conversations you never see. Most brand managers watch their own brand. The best ones watch their competitors too. Vera monitors both — so you always know when a competitor stumbles before your boss does. AI competitor intelligence. Vera by AG2. https://lnkd.in/gTfUaxxg

A Reddit thread killed a $2M product launch in 48 hours. The brand found out 11 hours too late. Vera monitors Reddit, X, and Discord in real time so you never miss the signal.

📧 𝗔𝗴𝗻𝗲𝘀 𝟮.𝟬 𝗙𝗹𝗮𝘀𝗵 transforms rough drafts into polished business communication. By understanding context, tone, and intent, it can turn a few simple notes into professional emails tailored for different business scenarios. From sales outreach and customer support to hiring and partnership discussions, AI is becoming a practical productivity tool for everyday work. 𝐅𝐫𝐞𝐞 𝐚𝐜𝐜𝐞𝐬𝐬 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞 𝐧𝐨𝐰. 🚀 𝗕𝘂𝗶𝗹𝗱 𝘄𝗶𝘁𝗵 𝗔𝗴𝗻𝗲𝘀. 🔗 platform.agnes-ai.com #AgnesAI #AI #BuildWithAgnes #TryItNowOnOurPlatform #AIProductivity #BusinessCommunication

✨ 𝗔𝗴𝗻𝗲𝘀 𝗩𝗶𝗱𝗲𝗼 𝟮.𝟬 transforms imagination into a magical journey. A winged horse soaring beneath a sky of fireworks creates a dreamlike scene filled with wonder and possibility. This demo showcases how a simple idea can evolve into a visually rich story that feels both imaginative and inspiring. Now available 𝐟𝐨𝐫 𝐟𝐫𝐞𝐞 for creators exploring AI-powered video generation. AI video generation is becoming a powerful medium for visual storytelling and creative expression. 𝗕𝘂𝗶𝗹𝗱 𝘄𝗶𝘁𝗵 𝗔𝗴𝗻𝗲𝘀. 🔗 platform.agnes-ai.com #AgnesAI #AI #BuildWithAgnes #TryItNowOnOurPlatform #AIVideo #CreativeAI

📚 You've already built the content. Now make it work harder. Transform existing curriculum, assessments and digital content into personalized, interactive and AI-powered learning experiences. No replacement. No starting from scratch. 👉 Explore what's possible with learningOS. #EducationalPublishing #AIinEducation #DigitalLearning

📖 What if your valuable content could deliver more personalized learning experiences? Connect your existing content to AI-powered learning—without replacing the content, systems, or publishing model you've already built. Enhance what works. Add what's next. 👉 See how learningOS works. Book a discovery call today.

No complex migrations, no long timelines — just a clean API and dedicated support that helps your platform achieve more.

Speed, accuracy, and smooth integration—our Resume Parser helps ATS providers deliver the hiring experience your clients demand.

Ethan Mollick -- Laura Fitton and I love your posts on the "evolution" of prompting. Given how fast "best practices" evolve are you "collecting" your insights on your blog or elsewhere?

The next decade of work won’t be won by those who know the most — but by those who ask the most. We’re entering an era where curiosity is the new competitive advantage. The best leaders, salespeople, and operators won’t be defined by their technical depth, but by their ability to learn fast, experiment boldly, and bring others along. AI isn’t here to replace you — it’s here to reward your curiosity. Those who lean in, ask “what if?”, and explore new tools will unlock new ways to create value. Agent.ai just published this idea in more depth here: 👉 “The Future of Work Belongs to the Curious, Not the Technical.” https://lnkd.in/e2_EEetz Apple inspired us to think different. Agent.ai exists to stay curious. Stay curious, my friends — and start with a question. #AI #FutureOfWork #Curiosity #AgentAI

Our CEO Judd Rosenblatt and Research Director Cameron Berg just published an op-ed in the Wall Street Journal on why AI alignment is essential for national security. https://lnkd.in/gcnk6mpN The U.S. is spending hundreds of millions integrating AI into national security while treating alignment research as an afterthought. That's a problem. Alignment isn't the thing that slows you down. Alignment accelerates capabilities. The F-16 became the most successful fighter in history because of its design constraints, not despite them. China seems to get this. America needs to also. Three recommendations: - fund alignment research directly - require it in DoD contracts - build dedicated research zones with alignment baked in from the start At AE, we build AI systems. We also fund alignment research. Those aren't in tension.

You bought the tools. Your engineers nodded along at the rollout. Then nothing changed. The problem isn’t the tools—it’s that nobody rewired how the work actually gets done.

Ask your engineering leads how adoption is going. They'll say "good progress," but ask them to prove it and the conversation stalls. There is no external benchmark, so everyone is grading their own homework.

店舗売上に直結する改善策を打ちたい企業様へ。今まで把握できていなかった来店客の情報を計測し、データに基づく意思決定で店舗の課題を解決。

店舗のための分析ソリューション／AIカメラで顧客行動を可視化。来店者の行動データをAIが自動分析。購買率改善と売場最適化を同時に実現。

AI: Implement or Employ? NVIDIA CEO Jensen Huang recently said IT will become the HR for AI agents. I agree with this analogy, but in my experience, it goes far beyond IT. LLM-based chat-agents are already becoming part of the workforce, engaging with customers and making decisions on behalf of companies. I discussed this with Peter Sondergaard and it raises the question: 💡 If AI agents are part of the workforce, what does it take to manage them? Success with AI requires us to look beyond implementation—We have to look at AI as if we employ it, defining its role, responsibilities, mandate and ensuring the AI agents are aligned with our company strategy. Just like human employees, AI agents need leadership. ✔️ Who sets their boundaries and measures performance? ✔️ How do we ensure they operate responsibly? ✔️ What new leadership tools are required in an AI-driven workforce? The shift is happening. Are we ready to lead AI, not just deploy it? Watch the full AI Watch here https://lnkd.in/g4StUzCm #AI #AILeadership #GenAI #AIGovernance

🚨 𝗪𝗲’𝘃𝗲 𝗦𝗲𝗲𝗻 𝗧𝗵𝗶𝘀 𝗕𝗲𝗳𝗼𝗿𝗲. 𝗪𝗲 𝗜𝗴𝗻𝗼𝗿𝗲𝗱 𝗜𝘁 𝗧𝗵𝗲𝗻. 𝗪𝗶𝗹𝗹 𝗪𝗲 𝗜𝗴𝗻𝗼𝗿𝗲 𝗜𝘁 𝗔𝗴𝗮𝗶𝗻? Some decades ago, companies rushed to adopt best-of-breed ERP systems—each one a specialist tool, often from different vendors, tailored to solve a specific business need. 𝗪𝗵𝗮𝘁 𝗳𝗼𝗹𝗹𝗼𝘄𝗲𝗱 𝘄𝗮𝘀 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗵𝗲𝗹𝗹. Disconnected systems. Data silos. Fragmented workflows. Shadow IT. A lack of unified oversight. And above all: a massive governance gap. Few organizations had the structures in place to manage the complexity—and the cost of trying to regain control was steep. Fast forward to today: 𝗪𝗲'𝗿𝗲 𝗻𝗼𝘄 𝘄𝗶𝘁𝗻𝗲𝘀𝘀𝗶𝗻𝗴 𝗮 𝘀𝗶𝗺𝗶𝗹𝗮𝗿 𝗽𝗮𝘁𝘁𝗲𝗿𝗻 𝗲𝗺𝗲𝗿𝗴𝗲 𝘄𝗶𝘁𝗵 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗮𝗻𝗱 𝗮𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗮𝗴𝗲𝗻𝘁𝘀. Organizations are enthusiastically deploying AI models and agents across departments and functions. One for content. One for customer support. Another for analysis. Yet another to summarize meetings. Each doing their own thing. Each evolving in its own way. 𝗕𝘂𝘁 𝘄𝗵𝗲𝗿𝗲’𝘀 𝘁𝗵𝗲 𝗴𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲? • Where are the controls? • The audit trails? • The coordination between autonomous systems? • The accountability if something goes wrong? Just like with ERP, the signs are already there: • Agents acting unpredictably • AI decisions that no one can fully explain • Overlapping tools with no ownership • Business leaders unsure who’s responsible for what And yet—very few are seriously addressing the governance layer. If this gap remains unaddressed, the costs will be immense. So will the risks. We’ve been here before. 𝗪𝗲 𝗸𝗻𝗼𝘄 𝗵𝗼𝘄 𝘁𝗵𝗶𝘀 𝘀𝘁𝗼𝗿𝘆 𝗲𝗻𝗱𝘀 𝘄𝗵𝗲𝗻 𝗰𝗼𝗻𝘁𝗿𝗼𝗹 𝗶𝘀 𝗮𝗻 𝗮𝗳𝘁𝗲𝗿𝘁𝗵𝗼𝘂𝗴𝗵𝘁. The question is: will we make the same mistake again? #AI #Governance #GenAI #EnterpriseTechnology #DigitalRisk #TechLeadership #LessonsFromThePast