The real AI advantage starts under the hood 👇 EDB Field CTO - Data & AI Ava Chawla, MBA, MS, PMP, AWS-SA captures exactly how we see it: AI impact starts with the data platform that fuels it. The innovators are the ones unifying operational, analytical, and AI workloads so they can bring the intelligence to the data, securely and at scale. That’s at the heart of a data and AI sovereignty strategy: making sure the platform is just as powerful as the applications it drives.
CTO – Data & AI | Scaling Growth at the Intersection of Business, Tech, Strategy, and Operations | Ex-AWS Tech Leader | Ex-Cybersecurity & Sales Leader | Ex-Defense & Intelligence
Taking a moment to reflect on my conversations with strategic global customers, big and small, a common pattern has emerged. Everyone's talking about the AI destination: Chatbots Predictive models Autonomous agents Makes sense—who doesn't want to talk about the shiny new car? But I've found the real innovators are the ones who are obsessing over the engine. A powerful AI application is just a shell without the data architecture to fuel it. The true challenge isn't building the car; it's building a data engine that's reliable, integrated, and scalable enough for the journey. This means unifying your operational and analytical workloads and ensuring your data platform is a single source of truth—not a jumbled mess of parts. The most powerful AI models are built on a deep, rich understanding of the business. That's why the winners are the ones who treat their operational database as their primary knowledge base. This approach keeps the core of their business intelligence and AI models in a single, secure, and compliant location. They're not just moving data around; they're bringing the AI to the data. This strategic choice to unify transactional, analytical, and AI workloads is what separates the pioneers from the rest. They're asking the right questions: Can our knowledge base be a part of our transactional database? Can we bring the intelligence to the data instead of moving all the data to the intelligence? Do you agree? I’d love to hear your perspective. #EDB #AI #ML #DataScience #Analytics #GenAI #DataStrategy #DataArchitecture #DigitalTransformation #AWS #GCP #Azure