An Earful with Errol! Why Lakehouses Alone Can’t Deliver AI-Ready Data

🚨 Hot take: Your data lakehouse is powerful… but it’s not AI-ready on its own. Most organizations have invested heavily in cloud, lakehouses, and AI — yet outcomes still lag. Why? Because AI doesn’t fail at the model layer. It fails at the data delivery layer. 🎙️ In the latest episode of An Earful with Errol, Errol Rodericks, Director of Product Marketing at Denodo, breaks down a reality many teams experience but rarely name: 👉 Lakehouses store data. 👉 AI needs real-time, governed, explainable access to it. 💡 The missing link? Logical Data Management. By adding a logical layer on top of your lakehouse, organizations can: - Access real-time & transitory data without copying it - Deliver a single semantic view of the truth across hybrid & multicloud - Turn raw data into reusable data products aligned to business outcomes - Accelerate AI use cases like fraud detection, ESG, risk, and personalization — with governance built in 🔑 Bottom line: Lakehouses are necessary. Denodo makes them usable for AI at scale. ▶️ Watch the episode and discover how to bridge the lakehouse gap and unlock real AI value 👉 https://okt.to/CLXdgK #AnEarfulWithErrol #LogicalDataManagement #Lakehouse #DataProducts #AIReadyData #EnterpriseAI #DataStrategy #DataForALL #NoAIWithoutData