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 exploration and understanding or data right from the start, leading to better business value. Co-head of AI, Aakash Indurkhya sits down with author and data scientist, Tobias Zwingmann to talk about how hypothesis-driven exploration isn’t getting the job done and is leaving valuable insight on the table, and setting you up for underwhelming AI. Join us as we discuss how using AI to explore data (Intelligent Exploration):

• Discovers high-impact insight that you may have overlooked
• Clarifies where you should direct your AI resources by uncovering good use cases and assessing feasibility
• Helps remove the bias from your exploration

Author Tobias Zwingmann helps BI professionals, business analysts and data analysts understand high-impact areas of artificial intelligence. You'll learn how to leverage popular AI-as-a- service and AutoML platforms to ship enterprise-grade proofs of concept without the help of software engineers or data scientists.

Learn more about Virtualitics at virtualitics.com and see the slides with transcript here - https://blog.virtualitics.com/how-to-overcome-your-biases-and-get-better-results-from-data-explorati0