Full Name
Pam Dillon
Job Title
Co-Founder & Chief Executive Officer
Company Name
Preferabli
Speaker Bio
Pam Dillon, co-founder and CEO of Preferabli, has over 25 years of experience in technology, focused on the retail and hospitality industries. Dillon, a named inventor on 11 patents, was honored by Goldman Sachs as one of the 100 Most Intriguing Entrepreneurs and VentureBeat as an AI Entrepreneur nominee. Dillon has also been a featured speaker on AI for WSJ Tech Live.
Preferabli is the leading B2B2C product discovery and recommendation software for wine, spirits and food, including specialty and grocery retail, hospitality, travel, distribution and consumer platforms. Preferabli licenses software to help the industry market and sell to individual taste preferences in the way a human expert would – at scale – across web, mobile and GenAI.
Preferabli software uses a novel form of machine learning that was built by PhDs in physiology and applied mathematics, and the largest group of Masters of Wine and Master Sommeliers in the world. The Preferabli database is the most comprehensive in the industry, with hundreds of characteristics for millions of products. Preferabli has users in over 70 countries.
A frequent guest speaker on the nature of sensory experiences in the context of machine learning, Dillon has spoken at the Code Conference, as well as at Stanford, Harvard and MIT. Dillon has lived and worked in Los Angeles, New York, London and Tokyo, and is an expert in wine, beer and spirits.
Preferabli is the leading B2B2C product discovery and recommendation software for wine, spirits and food, including specialty and grocery retail, hospitality, travel, distribution and consumer platforms. Preferabli licenses software to help the industry market and sell to individual taste preferences in the way a human expert would – at scale – across web, mobile and GenAI.
Preferabli software uses a novel form of machine learning that was built by PhDs in physiology and applied mathematics, and the largest group of Masters of Wine and Master Sommeliers in the world. The Preferabli database is the most comprehensive in the industry, with hundreds of characteristics for millions of products. Preferabli has users in over 70 countries.
A frequent guest speaker on the nature of sensory experiences in the context of machine learning, Dillon has spoken at the Code Conference, as well as at Stanford, Harvard and MIT. Dillon has lived and worked in Los Angeles, New York, London and Tokyo, and is an expert in wine, beer and spirits.
Speaking At
