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 machine learning and e-commerce


Artificial intelligence & the future of education systems

#artificialintelligence

In this talk he gave at TEDx FHKufstein, Bernhard Schindlholzer contemplated the implications of ephemeralization - the ability of technological advancement to do "more and more with less and less until eventually you can do everything with nothing" - through artificial intelligence and machine learning. He explores the challenges that this technological approach poses to our economy and, furthermore, how they could be addressed by questioning established norms of our education systems. Dr. Bernhard Schindlholzer is a technology manager working on Machine Learning and E-commerce.


Artificial intelligence & the future of education systems Bernhard Schindlholzer TEDxFHKufstein

#artificialintelligence

Dr. Bernhard Schindlholzer is a technology manager working on Machine Learning and E-commerce. In this talk he gave at TEDx FHKufstein, Bernhard Schindlholzer contemplated the implications of ephemeralization - the ability of technological advancement to do "more and more with less and less until eventually you can do everything with nothing" - through artificial intelligence and machine learning. He explores the challenges that this technological approach poses to our economy and, furthermore, how they could be addressed by questioning established norms of our education systems. Dr. Bernhard Schindlholzer is a technology manager working on Machine Learning and E-commerce. This talk was given at a TEDx event using the TED conference format but independently organized by a local community.


machine learning and e-commerce - disruption in online retail space

#artificialintelligence

The 2017 landscape for retail e-commerce is the ability to understand the customer experiences. The advances in robotics and AI are more relevant in the e-commerce space more than anywhere else. This holds not only true for marketers but also informed decisions that technology has to predict the next customer move. It's no wonder that world economic forum has dubbed 2016 as starting point for fourth industrial revolution The attention span of buyers is very small and incorrect results can lead to potential loss of customers. Machine learning (M/L) algorithms discover complex patterns or data sets that need not have to be preprogrammed.