Democratizing IT functions to enable business practitioners to directly pull reports and data was a great advancement.
By extension, can democratizing the analytics process through automation and rapid model-building tools then also be noted as progress? Or does it push into a danger zone?
This Clinic will feature Gregory Piatetsky-Shapiro, editor of KDNuggets as a panelist. And Gregory has something to say on the matter! This is sure to be a lively debate with substantial ramifications, rewards and risks.
There's a lot of hyperbole when it comes to advanced analytics and machine learning. But this is no exaggeration: There a great deal at stake for both efficiencies and vulnerabilities when it comes to equipping business practitioners as citizen data scientists. We will demonstrate and debate both.
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Explore the benefits and dangers of democratizing advanced analytics
Watch an expert panel discuss live on-camera the trade-offs in a charged debate
Contribute in polling and Q&A to fuel the live discussion and gain greater insights
IT & BI LEADERSHIP, Including CIOs, CAOs, CKOs, CTOs, Stakeholders, Functional Officers, Technical Directors and Project Managers
LINE-OF-BUSINESS EXECUTIVES AND FUNCTIONAL MANAGERS: Risk Managers, Customer Relationship Managers, Business Forecasters, Inventory Flow Analysts, Financial Forecasters, Direct Marketing Analysts, Medical Diagnostic Analysts, eCommerce Company Executives
DATA SCIENTISTS: Who recognize the importance of complementing their tactical proficiency with a strategic planning and design approach to advanced analytics
TECHNOLOGY PLANNERS: Who survey emerging technologies in order to prioritize corporate investment
THE ANALYTICALLY CURIOUS: Who desire additional perspectives on the topic