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Invite colleaguesLeveraging decision-making AI within marketing operations transformation
Abstract
Artificial intelligence (AI) digital marketing assists marketing executives in the analysis of targeted audiences and personalising service offerings to customers. The use of data metrics and advanced predictive analytics helps to build efficiently a holistic understanding of targeted customer leads as well as aiding businesses, regardless of size, to run successful digital campaigns focused on targeted audience groups. This paper explores the foundation of targeted AI approaches and areas of potential integration. There is ever-increased opportunity to improve upon digital marketing transformation, being mindful of tailoring an overall strategic approach to speak to business and stakeholder needs as well as in how best to syndicate with multiple discipline teams.
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Author's Biography
Patrick C. Leary leads user experience (UX) within AllianceBernstein’s Client Group Marketing team, applying UX strategy towards the firm’s portfolio of global asset management products. He advocates for iterative digital experience execution at industry relevant conferences in the finance sector. Patrick holds an MBA from the College of William & Mary, with undergraduate work in computer science at the University of North Carolina at Chapel Hill.
Michael Misischia acts as Senior Digital Designer within AllianceBernstein’s Client Group Marketing team, strategically balancing consumer and business needs while building company-wide pattern libraries, design systems and improving product success-to-market. Michael holds a BA from the University of South Florida at the Zimmerman School of Advertising.