Given the power of today's processing power, it's tempting for analytic practitioners to introduce all available data to a machine learning algorithm and ensure that nothing is missed.
But with more sophisticated models being developed, additional variables can cause a combinatorial explosion of processing demand in training mode. There are other negative effects that can occur when universal data is introduced for training.
How can data scientists prepare a confident representation of the solution space with efficient training, test and validation data sets? These are among the questions we'll poll, test on-screen and discuss live on camera with an expert panel in "The Realm of Reality."
See how to right-size big data for effective analytics
Watch the effects of pouring all available data into an algorithm
Bring your most pressing questions and participate in polling to view perceptions and influence hypothesis
Watch an on-camera panel run the winning approach through 'The Realm of Reality'
Join discussions with the experts, panelists and participants in The Forum after the event
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
CONSULTANTS: Whose competitive environment is intensifying and whose success requires competency with AI, machine learning, predictive analytics and related emerging information technologies