Data Science & Predictive Models
Wednesday, October 27, 2021
Kubeflow is a popular open source project that delivers a composable software foundation for those who need to build and maintain a scalable ML platform with best-in-class KPIs. This presentation and demonstration will review the streamlined ML workflows and simplified operating patterns in Kubeflow 1.4, which is the Community's 11th release since 2018. In this session, Josh Bottum, who is a Kubeflow Community Product Manager, will lead a review of the latest end-to-end machine learning workflows and discuss how market leaders are using Kubeflow to deliver their ML platforms with native Kubernetes efficiencies and portability.
The Agile Metrics are important to track the health of your projects. They help in tracking the project progress. There are other advanced metrics equally important, like Customer Satisfaction, Employee Satisfaction, and Innovation? Tracking these statistics many times is not easy and straightforward.Did you ever think of applying AI (Artificial Intelligence) to measure these and come up with actionable evidence? The AI-powered with NLP (Natural language Processing) and statistical models not just help in getting a good project insight, it can also help in course corrections, and increase the rate of project success. It can help companies to understand their core strengths, weaknesses, and how to position themselves in the market.Rohit will talk and demonstrate how you can digitally transform your Agile Program Management with AI and NLP. How it enables organizations to take proactive measures that not only make projects successful but also help companies stay competitive and thrive in the market.