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Powered by Akkio, Plus. AI helps connect data, knowledge, and workflows across the organization, giving teams a smarter way to access and act on intelligence at scale.

Looking for a step-by-step guide to launching secure, hallucination-free GenAI for your enterprise? See why multiple Fortune 50 companies leverage Aible!

We kiezen per taak het beste model (schrijven, rekenen, analyseren) en wegen compliance én EU vs. US-routes mee. Zelf sturen? Kies realtime per assistent welk model draait— met controle en logging. 👉 Start vandaag – alle topmodellen op één werkplek https://aiaiai.eu/nl/

Building AI agents typically takes data science teams months. Aible changes that—business teams can now deploy trusted AI agents in existing enterprise apps in just 3 minutes, no coding required.

We're happy to announce that we're joining the NVIDIA inception program for startups. As AI Integration Layer, AIAIAI is bringing all LLMS, agents and vibe-coded apps together in one GDPR-compliant environment. We believe this is the future for AI governance and ROI tracking in the European market. More soon!

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.

📚 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.

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

I love tools, but I'm not a "tools first" guy. I'm a "problem first" guy. This goes for software, woodworking, rock climbing or any of my other hobbies. That's why I really loved Carole Mahoney's episode of Prompted. She started with her own Sales training methodology. She wrote the book about it "Buyer First" and she's a sales coach for the Harvard Entrepreneurial MBA program. She starts with a proven methodology, and then brought in Agent.ai to help. Her belief that "sales skills are life skills" highlights the importance of cross-functional collaboration. This one's a must listen for anyone in sales or interested in innovation.

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