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.
Sign up now and show up early. There are limited seats. Don't be denied entry as the 101st person and have to pay a convenience fee for the on-demand recording.
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
No webinars are available.