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Applying Science to the Art of Digital Merchandising

Thumbnail-Sci-Art-Digital-MerchandisingWinning in today’s competitive retail marketplace is defined by the ability to truly differentiate the digital experience at all touch points in the shopper journey.  Learn how to meet the challenges of this new purchasing paradigm by showcasing the right product data and content in innovative and personalized ways, applying information science to the art of digital merchandising.

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Earley Information Science Team
Earley Information Science Team
We're passionate about enterprise data and love discussing industry knowledge, best practices, and insights. We look forward to hearing from you! Comment below to join the conversation.

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Recently I chaired the Artificial Intelligence Accelerator Institute Conference in San Jose – in the heart of Silicon Valley.  The event has brought together industry innovators from both large and small organizations, providing a wide range of perspectives. For example, the CEO of AI and ML testing startup of Kolena, Mohamed Elgendy and Srujana Kaddevarmuth, Senior Director, Data & ML Engineering, Customer Products, Walmart Global Tech discussed productization of AI solutions and ways to increase adoption. I especially liked the idea of a model catalogue from which data scientists can retrieve data sets and machine learning models that others have built rather than starting from scratch.