Applications of data science, machine learning and MLOps supporting organizational strategy, operational efficiency and significant business value.
- Don’t fight fires, prevent fires: Using ML to change the paradigm
- Leading from the top: The role of the CEO in driving data science
- Where should you be exploring next with data science?
- Model Velocity, what it means, and why you need it
- Moving the needle on business adoption and allowing for failure
- Data scientists as storytellers: Making the math exciting
- When IT and data science work together at scale
- Industry panel on ethics, transparency, AutoML, and tracking