KubeFlow

Sometime back, we wrote about the need for #consistentAI to accelerate the enterprise digital transformation. To summarize 1) we discussed some trends then – the widespread adoption of Kubernetes, the need to manage the lifecycle of AI using consistent tools, and the need to bring together the…

Enterprises are collecting data at an unprecedented rate whether it is from infrastructure, internal or external applications. The latest and greatest in machine learning allows them to gather meaningful insights from that data and use it for competitive advantage. Depending on where they are in the…

Partners come together because of a common vision. In the open source world, that vision is directly translated into shared execution. With the rapid adoption of AI/ML, the Kubeflow project has made a tremendous amount of progress in the past year, and it is awesome to be recognized as Google Cloud…

  “If you can not measure it, you can not improve it” — Lord Kelvin The field of machine learning is progressing at a break-neck speed and new algorithms and techniques as well as performance improvements are being published at such a high frequency that it is impractical to…

Data is already a first-class citizen in many enterprises. Today, data is used to derive insights, influence decisions, automate and optimize operational efficiency. The above can be done by deterministic rules and policies or using Artificial Intelligence (AI)/Machine Learning (ML) wherein patterns…