At Google Cloud Next this year, I presented two talks.
Proactively Stocking Inventory using Machine Learning
The basic premise was somewhat simple: could standard in-store cameras be used to monitor inventory? The example I used was based on having to restock produce in a timely manner by notifying store associates that specific items were out of stock.
The talk was recorded and is available below. The code for my demos is at crcsmnky/stocking-inventory on Github.
End to End Collaborative Data Workflows
My goal for this talk was to walk through the order of operations and tools needed to accomplish a standard data workflow. Specifically, I go through the steps, tools, and processes for the following:
- Cleansing and preparing data
- Storing data in warehouse
- Analyzing using SQL and basic reporting
- Analyzing using Jupyter notebooks
- Building and deploying Tensorflow models to make recommendations
The talk was recorded and is available below. I’m still working on making some of the demo code available.