Machine Learning for the “Other 90%” of Business Use Cases
Webinar Speaker: James Kobielus, Senior Research Director, Data Management
Date: Tuesday, December 13, 2022
Time: 9:00 a.m. PT, 12:00 p.m. ET
Enterprises are seeking to infuse predictive models and other advanced analytics into a full range of business functions.
A key trend is providing business stakeholders with solutions for developing and deploying advanced analytics for various use cases. These next-generation solutions offer an interactive, visual, and no-code experience that enables business analysts to recognize patterns and drivers in historical data to create models that predict future outcomes. These machine learning (ML) models are at the heart of today’s most powerful predictive analytics applications.
In this webinar, TDWI senior research director James Kobielus will discuss how a new generation of augmented analytics solutions deliver the value of ML-driven predictive intelligence throughout their operations and how:
- Business analysts can build and deploy ML-driven predictive applications
- Automated machine learning generates real-time insights for nontraditional developers, producing highly predictive models
- ML benefits a variety of predictive analytics needs including sales forecasting, churn reduction, customer lifetime value, inventory optimization, and more
He will be joined by Chris Mabardy, Qlik senior director of product marketing, who will share how automation and augmentation of machine learning is delivering significant value for Qlik customers.
Senior Director of Product Marketing
Chris Mabardy is a senior director of product marketing at Qlik, having been with the company for 14 years. He is focused on Qlik’s analytics offerings, including our Associative Analytics Engine, visualization and dashboards, augmented analytics, AutoML, and active intelligence capabilities. Chris holds an MBA from Duke University, and his background includes product, industry, and solutions marketing, as well as strategy and technology consulting.
Date: December 13, 2022
Time: 9:00 am PT