|When:||Wednesday Mar. 19, 2014 Noon - 2 PM|
|Place:||The Penn Club, 30 West 44th Street, New York, NY|
|Reservations:|| Call John Waldes at (212) 362-0302 or email him.
|Cost:||$60 for non-members, $50 for
$5 surcharge for walk-in without reservation.
First-time Attendees : $40 membership + $20 lunch
|Topic:||Why Analytical Modeling Will Never Be The Same|
|Abstract:||Marcia Tal will discuss findings from expert interviews around the globe on the topic of analytical modeling in our real-time, machine learning age. Machine learning's disruptive potential for consumer lending will be examined. Challenges around executing advanced analytic capabilities incorporating new and complex data sources will be identified and explored along with promising solutions. Topics include methodologies as diverse as identifying the objective function to optimizing outcomes through the integration of technology platforms into business development.|
|Speaker:||Marcia Tal, Tal Solutions LLC
Marcia Tal is the Founder of Tal Solutions, LLC – a New York based business that helps complex organizations and C-suite partners use their own data to create growth opportunities.
An acknowledged expert in designing and leading business analytic organizations, Marcia is widely recognized for creating and building Citigroup's Global Decision Management function in over 30 countries. Using her decades of experience in Risk Management and Marketing, Marcia introduced advanced analytical tools and a strong governance process into business decisions. She guided global business leaders in better understanding their customers, providing differentiated solutions and delivering profitable results.
As an early adopter and advocate of harnessing the power of "Big Data," she focuses on how "Big Data" must be viewed through an analytical framework that advances business strategies for revenue growth.
Marcia currently serves on the Boards of Advisors for Marketelligent and Black Oak Partners, LLC and as a lead faculty member for the International Institute for Analytics (IIA).