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

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Presented by

Tobias Zwingmann, Co-Founder of RAPYD.AI; Aakash Indurkhya, Co-Head of AI; Caitlin Bigsby, Head of Product Marketing

About this talk

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
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About Virtualitics Virtualitics, Inc., the Intelligent Exploration company, harnesses the power of AI- and machine learning-guided data exploration to transform organizations. Data exploration is the foundation of today’s AI initiatives, but traditional methods are shallow and incomplete and leave companies with a narrow and biased understanding of their data. Virtualitics changes this, enabling data teams to quickly and thoroughly explore all of their data by using AI and machine learning to automatically discover patterns and meaning in their data. Rich 3D visuals and VR experiences enhance understanding, so teams and stakeholders move forward strategically with a strong foundation that guides smarter business decisions and AI initiatives. The company’s patented technology is based on more than 10 years of research at the California Institute of Technology and NASA’s Jet Propulsion Laboratory. For more information about Virtualitics, visit virtualitics.com.