We are surrounded with overwhelming amounts of data and many people are unsure where to begin. L&D data can be found in internal surveys and assessments or in open-source environments such as Glassdoor or Yelp. However, where do you begin the data mining and analysis? Where should you focus your resources to achieve the greatest learning analytics return? How do you decide what data is relevant? How do you use the data to measure ROI?

In this session, you will delve into the data mining world for learning and development teams. Explore the possibilities of using AI to gain insights and unknown connections. You will consider the use of machine learning to mimic how the human brain processes language, which allows for the recognition of language patterns. Learn how past, present, and future data can be analyzed for developing new classifiers or themes. You will discover what data sources you have available and how to turn large amounts of data from multiple sources into actionable insights to improve your training methods.