Selling to AI customers isn’t easy. AI may be intelligent, but it still takes time, patience, and emotion to make it truly successful. There are thousands of AI use cases — but most organizations are only starting their data journey. And here’s the truth: AI without data is impossible. Data will grow faster than you can imagine — at the speed of light. That’s why choosing the right storage company from Day One is critical. Not everyone can handle true AI scale. Only DDN has proven performance and scalability — powering XAI, Scaleway, and many more. Don’t wait until your 1–2 PB turns into 20 PB. Choose wisely. Start strong. Scale fast. #AI #Data #Storage #Performance #DDN #Scalability #XAI #Innovation #Leadership DDN NVIDIA

(PhaseLock™ | AI as Ally Series) The Coherence Gap: Why Most AI Transformations Fail (Even When the Tech Works Perfectly) Most organizations think failure means the technology didn’t deliver. But in reality, it’s almost never the tech. It’s the gap between human intention and machine execution — a gap created by misalignment before implementation even begins. The algorithm can’t fix what the culture hasn’t harmonized. In the rush to “integrate AI,” leaders often skip the invisible layer — the human resonance that determines whether adoption flows or fractures. When the people aren’t in phase, even the most advanced system mirrors confusion back into the organization. That’s what PhaseLock™ was designed to solve. We teach leaders and teams to stabilize coherence first — before automation, before scale, before rollout. Because once coherence is present, intelligence (human or artificial) moves as one field. The result: less resistance, more surplus, and measurable resonance across the system. Coherence before code. Alignment before automation. That’s the real competitive advantage. If this sparked reflection, save it or share it with someone asking similar questions about AI and leadership. And if you’d like to explore this further, check out the next reflection in the PhaseLock™ series. #PhaseLock #AIasAlly #CoherentIntelligence #LeadershipDevelopment #DigitalTransformation

Rethinking AI ROI in Life Sciences: Measuring Intelligence, Not Just Investment In today’s life-sciences landscape, AI budgets are rising - yet measurable ROI remains elusive. Why? Because traditional ROI models were built for software, not for intelligent systems that learn, adapt, and evolve. At Intuitive, we help life-sciences organizations redefine success metrics for AI through FinOps for AI - ensuring every GPU hour, model cycle, and data pipeline delivers business value. AI ROI isn’t about more models - it’s about measurable outcomes: faster trials, lower validation costs, and compliant automation. FinOps for AI enables financial governance for AI workloads - aligning cost, performance, and compliance across R&D, pharmacovigilance, and manufacturing. GxPOps for AI brings validation and trust into the equation - ensuring every model is not just performant, but audit-ready. The result: organizations that treat AI not as an experiment, but as a governed, value-driven discipline. #IntuitiveAI #LifeSciencesInnovation #PharmaLeaders #FinOpsForAI #AIROI #ResponsibleAI #DigitalToIntelligent #GxPOps #PharmaTransformation #AIValue

🌐 𝗔𝗜 𝗶𝘀 𝗻𝗼𝘁 𝘀𝗹𝗼𝘄𝗶𝗻𝗴 𝗱𝗼𝘄𝗻 - 𝗶𝘁’𝘀 𝗰𝗵𝗮𝗻𝗴𝗶𝗻𝗴 𝘄𝗵𝗮𝘁 𝗳𝗮𝘀𝘁 𝗲𝘃𝗲𝗻 𝗺𝗲𝗮𝗻𝘀. Every week, breakthroughs redefine how we work, build, and innovate. From smarter reasoning models to AI-powered drug discovery, the pace of evolution is staggering and every leap is a signal: the future is already here. ⚡ Here are this week’s 𝗔𝗜 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 you shouldn’t miss 👇 ● 𝗚𝗣𝗧-𝟲 is set to outperform GPT-5 - not with more data, but with smarter reasoning. ● 𝗖𝗹𝗮𝘂𝗱𝗲 𝗔𝗜 is powering life sciences breakthroughs with faster, AI-driven discovery. ● 𝗢𝗽𝗲𝗻 𝗦𝗼𝘂𝗿𝗰𝗲 + 𝗡𝘃𝗶𝗱𝗶𝗮 are democratizing high-end AI for startups and researchers. ● 𝗠𝗲𝘀𝗵𝘆 𝟲 brings 3D design to life with AI sculpting-level detail. ● 𝗫 (𝗧𝘄𝗶𝘁𝘁𝗲𝗿) now runs fully on Grok-powered recommendations - the next era of content discovery. 💡 The takeaway? AI isn’t just innovating - it’s industrializing. It’s moving from experiments to enterprise infrastructure, reshaping productivity, creativity, and decision-making. That’s where #Agentra helps leaders step in - from being observers of AI progress to drivers of AI transformation. 𝗕𝗼𝗼𝗸 𝘆𝗼𝘂𝗿 𝗙𝗥𝗘𝗘 𝗰𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝘁𝗶𝗼𝗻 and see how Agentra helps enterprises harness AI responsibly, securely, and at scale. 👉 https://lnkd.in/gj3WucVA 🔔 Follow Agentra for weekly AI highlights, enterprise insights, and innovation that works. #AIThatWorks #EnterpriseAI #DigitalTransformation #AIHighlights #FutureOfWork #ArtificialIntelligence

"The companies succeeding with AI aren't necessarily the most technical. They're the ones that figured out how to get their domain experts directly involved in the AI development process."

🚀 The Next Leap in Artificial Intelligence: Memory Innovations Changing the Game Artificial Intelligence is no longer just about faster models or bigger datasets — it’s about smarter memory. Recent breakthroughs in AI memory systems are redefining how machines remember, learn, and reason across time. Unlike traditional models that start fresh every session, next-gen AI systems are gaining contextual memory — the ability to retain knowledge, understand user history, and adapt dynamically. This evolution is driving: 🔹 Personalized learning systems that evolve with each interaction 🔹 Smarter automation tools that understand workflows over time 🔹 Enterprise AI platforms that preserve organizational context securely 🔹 Human-AI collaboration that feels genuinely intuitive These innovations blur the line between static algorithms and continuously learning digital minds. As we move toward context-aware, long-term memory architectures, AI won’t just assist us — it will understand us. 💡 The next competitive edge won’t be faster processing — it’ll be better remembering. #ArtificialIntelligence #AIMemory #MachineLearning #Innovation #TechTrends #GenerativeAI #AITransformation #FutureOfWork

Agentic AI represents the next generation of artificial intelligence — where systems can think, plan, and collaborate just like humans. It builds on four key layers: 1️⃣ LLMs: The foundation models like GPT or DeepSeek that understand and process language. 2️⃣ AI Agents: These use LLMs to act, reason, and perform tasks independently. 3️⃣ Agentic Systems: Multiple agents working together, communicating, and solving problems as a team. 4️⃣ Agentic Infrastructure: Ensures everything runs securely, reliably, and at scale with human oversight. This layered approach is what makes Agentic AI powerful — combining intelligence, autonomy, and collaboration. It’s transforming how we build digital assistants, automation tools, and enterprise workflows. ✨ The future of AI is not just smart — it’s agentic. #AgenticAI #ArtificialIntelligence #AIagents #OpenAI #AIcommunity #FutureOfAI #TechInnovation #Automation #MachineLearning

Ever wondered about AI that doesn't just follow instructions, but truly takes initiative and solves problems autonomously? 🤯 Welcome to the world of Agentic AI! Agentic AI systems represent a significant leap forward in artificial intelligence. Unlike traditional models that typically respond to direct prompts, agentic AI can reason, plan, and execute complex, multi-step tasks to achieve a high-level objective. Think of them as digital collaborators capable of understanding goals, breaking them down into actionable steps, and even learning from their environment. 🚀 At its core, Agentic AI empowers systems with key capabilities like memory, tool use, and self-correction. This means an agent can recall past interactions, utilize various external tools (like APIs or databases) to gather information or perform actions, and even refine its approach based on feedback or unexpected outcomes. It's about moving beyond mere computation to genuine goal-oriented intelligence. ✨ The implications are profound, promising to revolutionize various sectors from business process automation to scientific discovery and personalized services. Imagine AI agents handling entire project workflows, optimizing supply chains, or even developing new software with minimal human oversight. The potential for increased efficiency and innovation is immense. 💡 What aspects of Agentic AI excite you the most, and how do you envision it reshaping your industry in the coming years? Share your insights! 👇 #AgenticAI #ArtificialIntelligence #AITransformation #FutureTech #Innovation #MachineLearning

🎙️ Designing for Uncertainty: Building Enterprise Systems that Thrive on Probabilistic AI For decades, enterprise systems have been built on predictability — if A happens, do B. That deterministic logic powered efficiency, but it’s not how AI works. AI operates in a probabilistic space — it reasons, adapts, and learns from uncertainty. To truly harness its potential, enterprises must stop designing for certainty and start designing for adaptability. In this episode, we explore: 🔁 Why feedback loops outperform fixed rules ⚙️ How to design guardrails instead of rigid scripts 🧠 The role of human judgment in probabilistic systems 📊 Why measuring confidence, not perfection, drives better AI outcomes Because in the age of AI, adaptability—not accuracy—is the new advantage. #AI #EnterpriseAI #SystemsDesign #DigitalTransformation #ProbabilisticAI #Automation #Leadership

🚀 Why “Living AI” Matters — And Why Current AI Has Reached Its LimitsToday’s AI systems rely on:prediction,probability,pattern matching,and massive datasets.But they do not understand why they act.They:cannot explain the purpose behind decisions,cannot evolve meaningfully from real human experience,cannot operate independently without risk,and cannot align themselves with human values in a transparent way.Living AI changes this.It introduces a new architecture based on:meaning-centric reasoning,locally adaptive self-learning nodes,intrinsic ethical grounding (“Ethical DNA”),transparent, explainable decision pathways,self-awareness of purpose and context.This is not about creating “robots with emotions”.This is about AI that understands meaning, responsibility, and purpose by design.A system that:knows why it takes an action,can justify that action,and remains a safe, transparent partner to humans.The foundational concepts and technical structure are now publicly documented and open for scientific discussion.🔗 Zenodo: https://lnkd.in/dunRZyQd anyone in the AI research or engineering community wants to discuss implementation details or explore collaboration, I’m open.What do you think is the biggest limitation of today’s AI systems?— Ondřej ŠkultetyFounder & Architect — Living AI Research#HumanAICollaboration #ComplexSystems #SoftwareArchitecture #SystemsDesign #DistributedSystems #NeurosymbolicAI #KnowledgeRepresentation #ConceptualDesign #FutureOfAI #NextGenAI #AIEvolution #AIInnovation #DeepTec #LivingAI #AIArchitecture #AIEthics #AISafety #ArtificialIntelligence #MeaningCentricAI #CognitiveSystems #ExplainableAI #Datech