Agentic Day

𝗔𝗜 𝗥𝗶𝘀𝗸 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 Enterprises are deploying AI faster than they can govern it. Risk isn’t in the model — it’s in where and how it’s deployed. 𝗟𝗢𝗪 𝗥𝗜𝗦𝗞 – Human-in-the-loop productivity tools • No financial exposure • Non-sensitive data • Governance: authentication, QA, logging 𝗠𝗘𝗗𝗜𝗨𝗠 𝗥𝗜𝗦𝗞 – Workflow intelligence impacting operations • Indirect financial effects • Semi-autonomous with guardrails • Governance: approval paths, monitoring, fairness checks 𝗛𝗜𝗚𝗛 𝗥𝗜𝗦𝗞 – Autonomous systems affecting money, safety, or legal outcomes • Direct financial exposure • Minimal supervision • Governance: regulatory alignment, drift detection, executive accountability What matters: deployment context, data sensitivity, autonomy, economic exposure, compliance, reversibility, stakeholder impact Leaders who master this build AI velocity without exposing the enterprise Join us at AgenticDay Summit. Follow Agentic Day for enterprise AI insights #AI #AIGovernance #EnterpriseAI #RiskManagement #ResponsibleAI

𝗦𝗮𝘂𝗱𝗶-𝗤𝗮𝘁𝗮𝗿 $51 𝗕𝗶𝗹𝗹𝗶𝗼𝗻 𝗗𝗲𝗮𝗹𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝗳𝗼𝗿 𝗔𝗜, 𝗚𝗲𝗼𝗽𝗼𝗹𝗶𝘁𝗶𝗰𝘀, 𝗮𝗻𝗱 𝗚𝗖𝗖 𝗗𝗲𝗳𝗲𝗻𝘀𝗲 Brotherhood moves faster than diplomacy. Yesterday HH Shaikh Tamim Al Thani visited HRH Mohammed Bin Salaman in Riyadh. Not as a neighbor, not as a partner, But as a brother. This is the eternal soul of GCC: One body, one culture, one destiny. The message from Jeddah is clear: The GCC does not need to ask permission from anybody. On one side, Riyadh: the big, powerful brother. On the other hand, Qatar: the world's wealthiest country. Here is a breakdown of the new and old deals. Trade and investment: • $2.7 billion yearly trade (targeting $6 billion) • Qatar Investment Authority, Public Investment Fund (PIF): $15 billion in AI • QatarEnergy, aramco: LNG Cargo JVs • Qatari Diar, ROSHN l روشن: JVs in tourism ($5 billion) • QNB Group, The Saudi National Bank - SNB: $500 million CBF • Mwani Qatar: digital, AI projects In addition, a high-speed train will link Doha to Riyadh, in the broader $20 billion GCC rail program. Players involved in the project will be: • GCC Railways Authority • Saudi Railway Company • Qatar Railways Company (Qatar Rail) Technology and innovation: • SDAIA | سدايا, MCIT: $1 billion AI cloud integration • Academian Inc $500 million in AI, semiconductors: - Hamad Bin Khalifa University - KAUST (King Abdullah University of Science and Technology) - King Abdulaziz City for Science and Technology (KACST) • Es'hailSat - the Qatar Satellite Company, وكالة الفضاء السعودية | وكالة الفضاء السعودية | Saudi Space Agency: satellite systems • Qatar FinTech Hub, SFS: $1.2 billion funds • stc, Ooredoo Group: 5G roaming Defense and security: • Barzan Holdings, SAMI: $2 billion UAVs, surveillance systems • $400 billion Joint naval drills securing • GCC defense frameworks operating above $100 billion • Barzan, Advanced Communications & Electronics Systems Company: cyber defense systems • Interoperability exercises: 15,000+ personnel Humanitarian diplomacy: • Palestine: $2+ billion in hospitals and energy • Sudan: $1.5 billion for food security, shelter • Syria: $1 billion for education • Qatar Fund and KSRelief: water, health, agriculture Where vision becomes action, and ambition becomes destiny. Qatar and Saudi Arabia do not look at the future. They built it. Credit: Giorgio Torre #GCCPower #AIGeopolitics #SaudiQatar #FutureOfDefense #MiddleEastInnovation

𝐃𝐞𝐬𝐢𝐠𝐧 𝐏𝐚𝐭𝐭𝐞𝐫𝐧𝐬 𝐟𝐨𝐫 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞-𝐒𝐜𝐚𝐥𝐞 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 Every AI agent follows a lifecycle: Perception → Memory → Reasoning → Decision → Execution → Feedback Each architecture implements this differently: 1️⃣ 𝗥𝗘𝗔𝗖𝗧𝗜𝗩𝗘 𝗔𝗚𝗘𝗡𝗧𝗦 Instant reactions, fast and predictable. Best for simple, speed-critical tasks. 2️⃣ 𝗗𝗘𝗟𝗜𝗕𝗘𝗥𝗔𝗧𝗜𝗩𝗘 𝗔𝗚𝗘𝗡𝗧𝗦 Reason before acting, handle complexity and ambiguity. Best for multi-step reasoning. 3️⃣ 𝗛𝗬𝗕𝗥𝗜𝗗 𝗔𝗚𝗘𝗡𝗧𝗦 Combine speed with strategic depth. Ideal for customer-facing agents needing both. 4️⃣ 𝗠𝗨𝗟𝗧𝗜-𝗔𝗚𝗘𝗡𝗧 𝗦𝗬𝗦𝗧𝗘𝗠𝗦 (𝗠𝗔𝗦) Multiple agents collaborate or compete. Centralized for control, decentralized for scale. When to use each: • Reactive → Alerts, automations • Deliberative → Research, planning, complex Q&A • Hybrid → Customer interactions • Multi-Agent → Enterprise workflows Which pattern are you using for your current agent project? Join us at Agentic Day Summit for expert insights and enterprise-ready workflows. #AI #AIAgents #EnterpriseAI #MultiAgentSystems #AgenticDay #AITechnology #AIArchitecture #Innovation #FutureOfWork

𝗧𝗼𝗽 𝟵 𝗙𝗿𝗲𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗧𝗼 𝗕𝘂𝗶𝗹𝗱 𝗔𝗜 𝗦𝗸𝗶𝗹𝗹𝘀 Top 9 free courses to learn AI (with links). Quickly build your AI skills for free. Most founders skip these. I’m already building with AI. Why would I need a course? That’s exactly the problem. You learned by doing. But doing creates blind spots. 𝗧𝗵𝗲 𝗯𝗲𝘀𝘁 𝗳𝗼𝘂𝗻𝗱𝗲𝗿𝘀 𝗜 𝗸𝗻𝗼𝘄? They go back to fundamentals constantly. Not because they’re behind. Because staying sharp is how they stay ahead. 𝗛𝗲𝗿𝗲 𝗮𝗿𝗲 𝟵 𝗳𝗿𝗲𝗲 𝗰𝗼𝘂𝗿𝘀𝗲𝘀: 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 — 𝗖𝗮𝗿𝗲𝗲𝗿 𝗘𝘀𝘀𝗲𝗻𝘁𝗶𝗮𝗹𝘀 𝗶𝗻 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 🔗 https://lnkd.in/gXAHuhFQ 𝗔𝗺𝗮𝘇𝗼𝗻 — 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗳𝗼𝗿 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗠𝗮𝗸𝗲𝗿𝘀 🔗 https://lnkd.in/gQDi4yJN 𝗚𝗼𝗼𝗴𝗹𝗲 — 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘁𝗼 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 🔗 https://lnkd.in/gaftpgxY 𝗛𝗮𝗿𝘃𝗮𝗿𝗱 — 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘁𝗼 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 🔗 https://lnkd.in/gTMsSPGs 𝗖𝗼𝘂𝗿𝘀𝗲𝗿𝗮 — 𝗔𝗜 𝗙𝗼𝗿 𝗘𝘃𝗲𝗿𝘆𝗼𝗻𝗲 🔗 https://lnkd.in/g_vmBnQ9 𝗟𝗶𝗻𝘂𝘅 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 — 𝗗𝗮𝘁𝗮 𝗮𝗻𝗱 𝗔𝗜 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀 🔗 https://lnkd.in/gTKQuBRC 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗹𝗼𝘂𝗱 — 𝗠𝗟 & 𝗔𝗜 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 🔗 https://lnkd.in/gmip8-Mk 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 — 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗳𝗼𝗿 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 🔗 https://lnkd.in/dMpn5Jb2 𝗜𝗕𝗠 — 𝗔𝗜 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀 𝗳𝗼𝗿 𝗘𝘃𝗲𝗿𝘆𝗼𝗻𝗲 🔗 https://lnkd.in/gbyGV3Ni Free. From world-class organizations. Waiting for you. 𝗜𝗳 𝘆𝗼𝘂’𝗿𝗲 𝘀𝗲𝗿𝗶𝗼𝘂𝘀 𝗮𝗯𝗼𝘂𝘁 𝗔𝗜, 𝗱𝗼𝗻’𝘁 𝗷𝘂𝘀𝘁 𝗹𝗲𝗮𝗿𝗻 𝗶𝘁. 𝗕𝘂𝗶𝗹𝗱 𝘄𝗶𝘁𝗵 𝗶𝘁. Follow Agentic Day for practical insights on building with AI. Join the AgenticDay Summit to see how founders are actually using AI to scale. What’s the last AI concept you went back to learn properly? #AI #ArtificialIntelligence #GenerativeAI #AICourses #AgenticAI #AgenticDay #Founders #BuildInPublic #Upskill

𝗣𝗿𝗼𝗺𝗽𝘁 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗶𝘀 𝗻𝗼 𝗹𝗼𝗻𝗴𝗲𝗿 𝘁𝗵𝗲 𝗲𝗱𝗴𝗲. 𝗦𝘆𝘀𝘁𝗲𝗺 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗶𝘀 𝘁𝗵𝗲 𝗻𝗲𝘄 𝗹𝗲𝘃𝗲𝗿𝗮𝗴𝗲. Most teams are still learning how to use AI. A smaller group is learning how to design with it. The gap is no longer awareness. It is architecture. In 2026, advantage will not come from using AI once. It will come from building workflows that compound. 𝗛𝗲𝗿𝗲 𝗮𝗿𝗲 𝟵 𝗳𝗿𝗲𝗲 𝗰𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂 𝗰𝗹𝗼𝘀𝗲 𝘁𝗵𝗮𝘁 𝗴𝗮𝗽: 𝗙𝗢𝗨𝗡𝗗𝗔𝗧𝗜𝗢𝗡𝗦 Multi AI Agent Systems with crewAI – Orchestrate multi-agent systems. 🔗 https://lnkd.in/eM-hFBqJ Foundations of Prompt Engineering by AWS – Master the fundamentals most teams skip. 🔗 https://lnkd.in/e5PhYtiX Introduction to LangGraph – Learn graph-based agent design. 🔗 https://lnkd.in/eAXK-Nw5 𝗕𝗨𝗜𝗟𝗗 4. AI Agents in LangGraph – Build agent workflows with LangGraph and LangChain. 🔗 https://lnkd.in/eZDwizet Building AI Agents with Multimodal Models – Combine vision and language models. 🔗 https://lnkd.in/eW3-rSJ7 AI Agentic Design Patterns with AutoGen – Study practical agent design patterns. 🔗 https://lnkd.in/eefeXCfC 𝗔𝗗𝗩𝗔𝗡𝗖𝗘𝗗 7. Large Language Model Agents MOOC – Deep dive into agent architecture. 🔗 https://lnkd.in/e5mDib3P LLMs as Operating Systems. Agent Memory – Design memory as a system layer. 🔗 https://lnkd.in/eDK_i8Yi Building Agentic RAG with LlamaIndex – Build faster, more reliable RAG systems. 🔗 https://lnkd.in/eJ5fmKX3 𝗛𝗲𝗿𝗲 𝗶𝘀 𝘁𝗵𝗲 𝗿𝗲𝗮𝗹 𝘀𝗵𝗶𝗳𝘁. Prompting is becoming a baseline skill. System design is becoming the differentiator. One model is a tool. Orchestrated agents are a workflow. The builders who win in 2026 will not just use AI well. They will design systems where AI can reason, retrieve, remember, and act. That is the real upskilling opportunity. Which course would you start with first? Follow us for more insights at Agentic Day #AI #AgenticDay #AIWorkflow #PromptEngineering #SystemDesign #FutureOfWork #AIAgents #AgenticLearning

𝗦𝘁𝗼𝗽 𝗨𝘀𝗶𝗻𝗴 𝗖𝗼𝗽𝗶𝗹𝗼𝘁 𝗟𝗶𝗸𝗲 𝗮 𝗦𝗽𝗲𝗹𝗹 𝗖𝗵𝗲𝗰𝗸𝗲𝗿 People pay $30/month for Copilot… and barely scratch the surface. That’s like buying a Ferrari to drive to the mailbox. 𝟭. 𝗪𝗼𝗿𝗱 – “Summarise this into 5 bullet points.” 30 minutes → 10 seconds. 𝟮. 𝗘𝘅𝗰𝗲𝗹 – “What’s driving this number?” Charts, trends, errors fixed. 𝟯. 𝗣𝗼𝘄𝗲𝗿𝗣𝗼𝗶𝗻𝘁 – “Turn this report into a 7-slide summary.” Full deck. Speaker notes. Visuals. Done. 𝟰. 𝗖𝗵𝗮𝘁𝗯𝗼𝘁 – “Summarise everything I missed this week.” Emails, chats, and docs. Instantly. That’s not a tool. That’s a full-time assistant. Follow us for more insights at Agentic Day #AI #Copilot #AgenticDay #AIAssistant #WorkSmarter #DigitalTransformation #CareerEdge

NVIDIA 𝗚𝗧𝗖 2026 𝗷𝘂𝘀𝘁 𝗳𝗹𝗶𝗽𝗽𝗲𝗱 𝘁𝗵𝗲 𝗔𝗜 𝗽𝗹𝗮𝘆𝗯𝗼𝗼𝗸. It’s no longer about training bigger models. It’s about running them, faster, cheaper, and autonomously. Here’s what actually matters: 𝟬𝟭. 𝗜𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 > 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 The race is now about tokens generated — not models trained. 𝟬𝟮. 𝗩𝗲𝗿𝗮 𝗥𝘂𝗯𝗶𝗻 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 Full-stack AI supercomputer. Compute + network + memory = one system. 𝟬𝟯. 𝟳-𝗖𝗵𝗶𝗽 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 Specialized chips working together = massive performance leap. 𝟬𝟰. 𝗔𝗜 𝗙𝗮𝗰𝘁𝗼𝗿𝗶𝗲𝘀 𝗔𝗿𝗲 𝗛𝗲𝗿𝗲 NVL72 → DGX SuperPOD. We’re talking trillion-parameter scale. 𝟬𝟱. 𝟭𝟬𝘅 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 Cost per token collapsing → adoption exploding. 𝟬𝟲. 𝗗𝘆𝗻𝗮𝗺𝗼 (𝗜𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗢𝗦) AI workloads, intelligently split and scaled. 𝟬𝟳. 𝗡𝗲𝗺𝗼𝗖𝗹𝗮𝘄 (𝗔𝗴𝗲𝗻𝘁 𝗦𝘁𝗮𝗰𝗸) Enterprise-grade AI agents. Always on. Always working. 𝟬𝟴. 𝗔𝗴𝗲𝗻𝘁𝗶𝗰-𝗮𝘀-𝗮-𝗦𝗲𝗿𝘃𝗶𝗰𝗲 Agents replacing entire workflows — not just assisting them. 𝟬𝟵. 𝗣𝗵𝘆𝘀𝗶𝗰𝗮𝗹 𝗔𝗜 𝗕𝗿𝗲𝗮𝗸𝘁𝗵𝗿𝗼𝘂𝗴𝗵 AI is leaving the screen and entering the real world. 𝟭𝟬. 𝗥𝗼𝗮𝗱𝗺𝗮𝗽 𝘁𝗼 𝗙𝗲𝘆𝗻𝗺𝗮𝗻 Rubin → Ultra → Feynman. Computing is going exponential. Here’s the reality: AI is no longer a model game. It’s an infrastructure + execution game. Build it → or buy from those who did. Follow Agentic Day to stay ahead of where AI is actually going. Which shift changes the game the most? #AI #NVIDIA #GTC2026 #AgenticAI #FutureOfWork

The right mindset in the AI industry. Culture + Organizations + Workflow Leading with passion Tareq Amin. #FIIFIIInstitute #HUMAINHUMAIN #AgenticDay #AllMyAi #HelloAgentic #AI4PurposeInc. #FIIInstitute

𝗧𝗵𝗲 𝟭𝟬 𝗕𝗶𝗴𝗴𝗲𝘀𝘁 𝗔𝗜 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗥𝗶𝘀𝗸𝘀 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗙𝗼𝘂𝗻𝗱𝗲𝗿𝘀 𝗠𝘂𝘀𝘁 𝗞𝗻𝗼𝘄 𝗶𝗻 𝟮𝟬𝟮𝟲 𝗔𝗜 𝗶𝘀 𝗮 𝗴𝗮𝗺𝗲-𝗰𝗵𝗮𝗻𝗴𝗲𝗿. 𝗕𝘂𝘁 𝗶𝘁’𝘀 𝗮𝗹𝘀𝗼 𝗼𝗽𝗲𝗻𝗶𝗻𝗴 𝗻𝗲𝘄 𝗮𝘁𝘁𝗮𝗰𝗸 𝘀𝘂𝗿𝗳𝗮𝗰𝗲𝘀 𝗺𝗼𝘀𝘁 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀 𝗮𝗿𝗲𝗻’𝘁 𝗿𝗲𝗮𝗱𝘆 𝗳𝗼𝗿. Here are the top 10 AI security risks every enterprise founder should watch: 𝟭. Prompt Injection – Models manipulated into leaking data. 𝟮. Data Poisoning – Corrupted training data creates biased AI. 𝟯. Model Inversion – Sensitive data extracted via outputs. 𝟰. Adversarial Inputs – Tiny changes trick AI decisions. 𝟱. Model Theft – Proprietary models replicated through queries. 𝟲. AI Shadow IT – Employees use unapproved tools, exposing data. 𝟳. Sensitive Data Leakage – Confidential info sent externally. 𝟴. Agent Hijacking – Compromised agents take unauthorized actions. 𝟵. Hallucination Exploitation – Incorrect outputs mislead decisions. 𝟭𝟬. Supply Chain AI Attacks – Third-party tools introduce hidden vulnerabilities. 𝗞𝗲𝘆 𝗹𝗲𝘀𝘀𝗼𝗻: AI risk isn’t just about the model—it’s about the entire system. The faster you adopt AI, the more critical governance and security become. 𝗙𝗼𝗹𝗹𝗼𝘄 Agentic Day for insights on building secure, scalable AI systems. Stay ahead of risks and lead your enterprise confidently in the age of agentic AI. Credit: Vaibhav Aggarwal #AI #CyberSecurity #AIsecurity #EnterpriseAI #RiskManagement #AIGovernance #AILeadership #EnterpriseInnovation