How to Make Money with Data Analytics in Industrial Use Cases

Explore how to monetize data analytics in industrial applications through this 30-minute conference talk. Delve into key topics including the importance of algorithms, deployable algorithms, model lifecycle management, streaming engines, and the challenges faced by data scientists. Learn about the drone demo, the paradox of data scientists, and the tension between data science and engineering. Gain insights on collaboration strategies and effective model management techniques. Conclude with a Q&A session to address specific queries related to leveraging data analytics for financial gain in industrial settings.

Intro
Data is not a problem
Algorithms
Deployable algorithms
The model lifecycle
The streaming engine
The drone demo
Paradox of data scientists
The most ugly differential equation
Tension between data science and engineering
Collaboration
Model management
Questions