Have you ever not found what you were looking for in a pivot table or business intelligence (BI) system? Do you have projects where AI or machine learning holds promise yet mistrust of the “black box” limits progress? Do you need to better engage subject-matter experts on a complex data-driven topic? If you answered “yes” to any of these questions, this talk is for you.
Conventional plots designed for flat surfaces like paper and computer screens limit your perspective. Data complexity and volume has long exceeded what those plots and dashboards can convey. Plots you see today in BI and analytics software require you do the hard work “pivoting” and “slicing” data, looking for insight. It’s like looking for a needle lost in a haystack. Let’s explore a better way.
Machine learning is often applied to the task. However, many anomalies of interest elude machine learning, especially in financial markets data. Understanding input data enables the creation of effective models, and proper AI governance facilitates consensus and adoption, where transparency into machine approaches has otherwise been elusive. Join Bob Levy to see how this can be done.
Bob explains how to use simple Python scripts to leverage completely new plot types. This talk will include the use of 3D glasses distributed to the audience. You’ll see a completely new view into a model of financial markets, consider the impact stock screeners have on missing well-balanced opportunities, and see a computer network like never before.
Bob Levy is CEO of Virtual Cove, Inc., where he and his team leverage virtual and augmented reality for helping see datasets in a completely new light. A veteran tech executive, Bob brings over two decades of product leadership experience at companies such as IBM, Harte Hanks, and MathWorks. In 2001, he served as founding president of the BPMA, a 6,000+ person industry group.
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