Operations Research for Smart Automation
July 20th, 2020
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Everything can be modelled as a time-series. Literally everything. And these time series can be implemented as event streams within software. With the right technology and the right mathematical models, great insights can be produced by analyzing events all around us. In this book go through classical and cutting-edge techniques for time-series forecasting using Python. Another of our courses shows how to leverage this sytem to build a Time-Series Forecasting System that is deployed to Google Cloud.
People selling Smart Automation often state that large projects with matching budgets are necessary to materialize value. This is absolutely wrong. On the contrary, very large projects should be avoided as they carry unnecessary risk. Digital transformations require iterative experimentation and have high failure rates, which is why you should use diversified strategic portfolios of short, focused, strategic projects that can be quickly killed if necessary. In this post you'll earn how to plan a digital transformation.