Data Pipelines - Get the most out of your data with Kubeflow & machine learning
Carmine Rimi - Ubuntu Product Manager & Jan Kanty Milczek - Senior Data Scientist at deepsense.ai
About this talk
AI is transforming industries with rapid innovation cycles and unprecedented automation capabilities. With the right frameworks, tools, and processes, machine learning with Kubeflow can help you accelerate your AI business objectives. Kubeflow is a Kubernetes-native platform that includes the most popular machine learning tools and frameworks, like Tensorflow and PyTorch, and is available on your workstation or in the cloud. Recent use cases include expert systems, workflow automation, pattern recognition across real-time data sets, customer relationship management with predictive behavior, and many more.
The models at the core of this revolution require data - data is the fuel that powers accurate models. How do you get the most from data and ensure it meets your requirements?
This webinar, in partnership with deepsense.ai will cover:
How to get started with defining AI project requirements and objectives
How to prioritize analytical projects in your company
The challenges involved in collecting and storing data and how to avoid them
How to extract values and eliminate complexities
What external sources you should use in your data pipeline
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