Unlocking Dremio Verified AI Architect badge with LangChain, Dremio…

Hello 𝐀𝐥𝐥, 🚨 Badge unlocked: 𝐃𝐫𝐞𝐦𝐢𝐨 𝐕𝐞𝐫𝐢𝐟𝐢𝐞𝐝 𝐀𝐈 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 🚨 Built some seriously cool 𝐃𝐚𝐭𝐚 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 using: 🧠 LangChain 🗄️ Dremio Lakehouse 🧩 MCP Server This wasn’t just another badge. It got me thinking hard about how 𝐀𝐈 actually talks to data -  𝒓𝒆𝒂𝒍-𝒕𝒊𝒎𝒆, 𝒔𝒆𝒄𝒖𝒓𝒆, 𝒉𝒖𝒎𝒂𝒏-𝒊𝒏-𝒕ℎ𝒆-𝒍𝒐𝒐𝒑 kinda stuff. AI’s only 𝐚𝐬 𝐬𝐦𝐚𝐫𝐭 𝐚𝐬 𝐭𝐡𝐞 𝐝𝐚𝐭𝐚 𝐢𝐭 𝐬𝐢𝐭𝐬 𝐨𝐧, and this hit that home hard. The deeper I go into AI, the clearer it gets — 𝐃𝐀𝐓𝐀 is everything. Understanding how platforms like 𝑫𝒓𝒆𝒎𝒊𝒐, 𝑺𝒏𝒐𝒘𝒇𝒍𝒂𝒌𝒆, 𝑫𝒂𝒕𝒂𝒃𝒓𝒊𝒄𝒌𝒔, and 𝑩𝒊𝒈𝑸𝒖𝒆𝒓𝒚 enable AI is just as important as working with the models themselves. Business data lives in these massive platforms — 𝑙𝑎𝑘𝑒ℎ𝑜𝑢𝑠𝑒𝑠, 𝑤𝑎𝑟𝑒ℎ𝑜𝑢𝑠𝑒𝑠, whatever you call them. If you're serious about AI, you need to care about 𝒘ℎ𝒆𝒓𝒆 and ℎ𝒐𝒘 that data lives. 🔍 𝐀𝐈 + 𝐝𝐚𝐭𝐚 𝐬𝐭𝐚𝐜𝐤: • 𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞 – Cortex AI and AISQL bring GenAI right into SQL — classify, summarize, and complete across text/image, all inside the warehouse. • 𝐃𝐚𝐭𝐚𝐛𝐫𝐢𝐜𝐤𝐬 – Full open-lakehouse stack with GenAI workflows via Genie, Mosaic AI, and MLflow. • 𝐆𝐨𝐨𝐠𝐥𝐞 𝐂𝐥𝐨𝐮𝐝 – BigQuery ML + Vertex AI = build ML models using just SQL. • 𝐀𝐖𝐒 – Redshift + S3 lakehouse with SageMaker Studio and Bedrock Agent Core for full-stack AI governance. 🎯 𝐔𝐩 𝐧𝐞𝐱𝐭: I'm doubling down on data platforms that power secure, explainable AI. Now shifting gears 👉 exploring 𝑺𝒏𝒐𝒘𝒇𝒍𝒂𝒌𝒆 + 𝑨𝑰. Cortex, Streamlit — the whole ecosystem. BigQuery, Databricks, Dremio… every platform’s building its own take on AI+data. Let’s see where this goes 🚀 More builds, more experiments coming soon. 𝐕𝐞𝐫𝐢𝐟𝐲: https://lnkd.in/gTXFhfWh #AI #GenAI #AIEngineer #ResponsibleAI #ExplainableAI #DataAI #SageMaker #DataLakehouse #Dremio #Snowflake #Azure #Databricks #RealTimeData #CloudData #DataLake #LangChain #MCP #BuildInPublic #StayCurious #DataNerd #S3 #Lakehouse #TechCommunity #MachineLearning #BigData #CloudComputing #AIInnovation #DataEngineering #FutureOfAI