Distributed and disparate data sources are making it complex for enterprises looking at leveraging AI/ML-enabled observability, software-defined automation and policy-driven operations. To effectively harness AI/ML potential for innovation, enterprises need real-time connectivity between AI/ML models to enterprise data — a critical requirement when making timely and accurate decisions based on AI predictive analysis. To effectively secure both data-in-motion and data-at-rest, it is also key to decide where your data is hosted to run AI models.