Ensuring the resilience and performance of databases is very crucial for organizations aiming to maintain uninterrupted business operations. In high-demand environments, database performance is often bottlenecked by several limitations. Many organizations have their data infrastructure established on robust, relational database platforms. However, as businesses evolve to meet the rising demands for efficiency, the limitations of these platforms become more apparent.

This session focuses on the scalability and resilience of database systems and how you can build them better with AI.
We'll start by explaining what resilience means for databases, why it matters, and the best ways to design database systems that can mitigate disaster and performance disruptions. Then, we'll dive into how AI can make these systems better by predicting and preventing problems before they happen, automating recovery processes, and keeping everything running smoothly with little human operation.

Through real-life case studies, we'll explore how companies have successfully used AI to improve their database systems, making them more efficient and cost-effective.