In this video you will see a retail scenario where we are using our Augmented Business Intelligence (Augmented BI) application/platofrm. We can go into a grocery store, scan and bring up the sales and sales history for a product on a shelf and overlay it on the picture. Great way of moving around the store to see how products are doing and whether to take action on and item or not. To find out more, contact us at
This talk will focus on creating a production machine learning pipeline using TFX. Using TFX developers can implement machine learning pipelines capable of processing large datasets for both modeling and inference. In addition to data wrangling and feature engineering over large datasets, TFX enables detailed model analysis and versioning. The talk will focus on implementing a TFX pipeline and a discussion of current topics in model understanding. Watch more #io19 here: Machine Learning at Google I/O 2019 Playlist → TensorFlow at Google I/O 2019 Playlist → Google I/O 2019 All Sessions Playlist → Learn more on the I/O Website → Subscribe to the TensorFlow Channel → Get started at → Speaker(s): Kevin Haas , Tulsee Doshi , Konstantinos Katsiapis T02F52 event: Google I/O 2019; re_ty: Publish; product: TensorFlow – TensorFlow Extended; fullname: Tulsee Doshi;