Vidora Product Manager Michael Firn is to be featured in next month’s issue of Analytics Insight Magazine. His piece, ‘Forget the Models – You Need a Machine Learning Pipeline’, discusses why why most businesses today are fundamentally thinking about ML the wrong way, and how to reframe the conversation of implementing ML.
In this post, Michael breaks down the steps of the Machine Learning pipeline. He also explains why your business needs each one in order to deploy a scalable ML solution.
You can also check out CTO Abhik Majumdar’s piece in last month’s issue of Analytics Insight Magazine, about the threat to innovation in ML in both the US and India – click here to read Abhik’s piece!
Vidora enables anyone in any business to build and use complex machine learning models. With Vidora’s self-service platform, Cortex, machine learning is intuitive, interpretable and fast. Cortex also automates the entire machine learning pipeline from raw data to model outputs. Experts in machine learning and artificial intelligence from Stanford, Berkeley and Caltech developed Cortex. Finally, Cortex sits at the heart of some of the largest global brands, such as Walmart, News Corp, and Discovery.