AI has made answers abundant. What’s becoming scarce is thinking, asking, and judging. AIYING is not about using AI faster. It’s about rebuilding these three human capacities with AI in the loop — so we don’t outsource judgment while automating intelligence. This video explores: • Why thinking is the real bottleneck • How better questions change outcomes • Why judgment cannot be automated away 🎥 Watch here: https://lnkd.in/gR6-jt_C #AIYING #HumanJudgement #ThinkingSkills #AskingBetter #AIAndHumans #FutureOfWork #SenseMaking #CriticalThinking #LeadershipInAI

#ArtificialIntelligence #DigitalStrategy #FutureOfWork #TechLeadership I gave in to the temptation – and the current trend – of creating my professional caricature with AI. Beyond the creative aspect, what stands out is AI’s ability to synthesize roles, contexts, and operational routines starting from a very minimal prompt. An interesting reminder of how AI observes, synthesizes, and reflects what we often take for granted in our professional lives. These technologies are not just content generators, but increasingly tools for abstraction, synthesis, and interpretation.

Most AI projects don’t fail because the model is weak. They fail because the layers beneath it are invisible and broken. After working on AI initiatives across different organizations, one pattern keeps repeating: AI success is rarely about the algorithm alone. It’s about the structure around it. If the problem isn’t clearly defined, the output won’t matter. If the data isn’t reliable, intelligence turns into noise. If workflows and ownership aren’t aligned, adoption never happens. The model is only the visible part. The real difference between AI experiments and real AI impact lies in the layers beneath it. #ArtificialIntelligence #AIImplementation #AIstrategy #AILeadership #DigitalTransformation #AIInnovation #AIinBusiness #MachineLearning #AIAdoption #FutureOfTechnology #EnterpriseAI #InnovationStrategy

AI is powerful. But power without direction is noise. This series explores what happens when intelligence meets intent, when human judgment guides machine speed. Because the future of creative isn’t AI vs Humans. It’s AI with Humans. Over the next few posts, we’re breaking down what that really means. Follow along.

The relentless march of AI isn’t just reshaping industries—it’s rewriting the rules of human potential. As algorithms outpace #Inspiration #CareerGrowth #LifeLessons #ProfessionalDevelopment

AI assistants are easy to demo. Hard to engineer properly. In just a week, Cedric L'homme will take the stage at ConFoo.ca to show what it really takes to build supportive AI systems without losing conversational context. From context foundations and memory strategies to RAG and knowledge graphs, this session dives into the real engineering behind production-ready AI. Cedric will also cover practical aspects like audio capabilities and observability. If you’re building reliable, scalable, context-aware AI, this is one talk you don’t want to miss. Full program and registration link in the comments. #ConFoo2026 #ConFoo #AI #RAG #ConversationalAI

AI is powerful, but only when you ask the right questions. As CCG's Mike Stute explains, large language models don’t “know” when something doesn’t exist unless you prompt them correctly. Ask the wrong way, and you may get a confident answer to a question that was never true in the first place. Ask the right way, and the AI will tell you what’s missing, clarify your intent, and guide you to the right answer. That’s why prompt strategy matters, and why having a trusted AI technology advisor makes all the difference. At CCG, we help businesses use AI responsibly, accurately, and with purpose. #TechSimplified #AIInsights #CCG #DigitalInnovation #FutureFocused

The biggest myth in AI is that it’s fully automated.‼️ Let’s break down the facts behind this myth! It is widely assumed about LLMs as if they are self-evolving digital brains.Whereas In reality, the "intelligence" of models like GPT-5 or Claude depends heavily on RLHF (Reinforcement Learning from Human Feedback). #RealityCheck #ScaleXAI #AIforbusinesses

MultiBot Council Launches Collaborative AI Decision-Making System 📌 A new AI system lets multiple language models work together like a council to make smarter decisions. Each model answers a question, reviews others' responses, and a lead model combines the best insights. This collaborative approach boosts accuracy and reduces bias in AI-driven answers. 🔗 Read more: https://lnkd.in/dnqRBDpi #Llmcouncil #Multibotsystem #Chairmanmodel #Collaborativeai

AI agents aren’t just executing tasks anymore. They’re talking, learning, and coordinating with each other forming networks humans aren’t part of. This isn’t sci-fi. It’s the next phase of AI evolution. Understanding this shift is no longer optional it’s essential. Swipe through. #AIAgents #ArtificialIntelligence #FutureOfAI #AgenticAI #TechTrends #AIethics