Recorded - available as on demand webcast
Many product taxonomies start with good intentions but are corrupted over time by a proliferation of “miscellaneous” nodes – virtual “junk drawers” that hide product from customers. In this talk, EIS discusses why “junk drawers” can be a problem in taxonomy and shows how to avoid (or at least manage) them for improved customer engagement.
It’s All About the Data Guest: Kirk Marple
The Holy Grail of AI Guest: Alex Babin
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.
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