It is clear by now that AI has revolutionized the world of technology as we know it. Organizations have started to think about adopting an AI strategy for their enterprises, but most are unsure of where to begin. Enterprises are looking for a way to cut through the noise with a plan that just works, across clouds and with efficiency at scale.

With Tanzu Application Platform (TAP) and VMware Data Solutions, ML engineers can implement end-to-end machine learning operations in a cloud-agnostic manner. Attendees of this webinar heard VMware subject-matter experts discuss how TAP can be leveraged as a central hub for deploying and managing MLOps tools, pipelines and artifacts across teams, and how VMware Data Solutions can be used in tandem with TAP to provide scalable, high-throughput, low-latency platforms for training and inference data. Several features of the Tanzu tech stack for ML were explored, including:

• Cross-cloud artificial intelligence and machine learning.
• Streamlined Kubernetes operations for machine learning.
• Open-source ML/MLOps to help mitigate against vendor lock-in.
• In-database AI for streamlining ML by bringing the model to the data.