Prerequisite: None
As data and analytics become more complex, one significant trend is to automate and augment the data and analytics lifecycle. Join TDWI’s VP of Research, Fern Halper, as she discusses what automation and augmentation is all about, the kinds of automation organizations are undertaking, the tools available for automation, adoption of these tools, and best practices for getting started.
You will learn:
- How advanced analytics, such as machine learning, is being infused into software
- Examples of automation in the data and analytics lifecycle
- Where automation and augmentation is being used in the data and analytics lifecycle
- Why human-in-the-loop is needed
- Best practices to consider when automating