Operational AI Workload Means Database Workload
The recent massive interest in AI solutions has sparked a huge and pervasive wave of AI projects. We are now entering a second phase where the AI projects that have proven value are looking for operational landing places in enterprise environments. This is visible through the big hype for AI data systems like vector databases and feature stores. This phase of AI operationalizing is the hour of databases, which have proven already to be the battle-proof bedrock for data management enterprise environments. Postgres is naturally a front runner in this space. AI workloads are entirely tied to data, they start with data, they run on data and they produce data. In this talk we walk you through the popular AI application flows and show their strong ties to data. We then go over Postgres' strong operational qualities of service and demonstrate how they form the perfect environment for mission critical AI solutions in an enterprise. EnterpriseDB is entirely committed to make Postgres the natural choice for modern AI applications. In this talk we also share our plans for further evolution of Postgres to become a fully functional AI database and eventually graduate to a one-stop-shop AI data platform.