How to overcome your biases and get better results from data exploration

When we think of AI we tend to think of predictive models and supervised learning. But AI can be applied to the exploration and understanding of our data right from the start, leading to better business decisions. Virtualitics Co-head of AI, Aakash Indurkhya, sits down with author and data scientist Tobias Zwingmann to talk about how hypothesis-driven exploration is leaving valuable insight on the table, and setting you up for underwhelming AI. Join us as we discuss how to use AI to explore data—we like to call it Intelligent Exploration—and how it can impact your business. You will learn: How to discover high-impact insight that you’re overlooking today How to determine where you should direct your AI resources by uncovering good use cases and assessing the feasibility of projects How to remove bias and limits from your exploration to find impactful opportunities