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Contextual Outlier Detection with Statistical Modeling on Spark

By | 2018-11-09T10:50:37+00:00 November 6th, 2018|Analytics, Artificial Intelligence, Big Data, Big Data Technologies, Data Sciences, Machine Learning, Predictive Analytics, Predictive Modeling, Recommendations, Uncategorized|

Sometimes an outlier is defined with respect to a context. Whether a data point should be labeled as an outlier depends on the associated context. For a bank ATM, transactions that are considered normal between 6 AM [...]

Connected Retail – It’s the Experience that Matters

By | 2018-10-29T09:44:22+00:00 December 21st, 2017|Analytics, Artificial Intelligence, Azure, Big Data, Big Data Technologies, Blogs, Cognitive Services, Data Cloud, Deep Learning, Emotion Analysis, Entity Extraction, Keywords Extraction, Machine Learning, Microsoft Azure, Relations Extraction|

The ever-present question in the minds of consumers - who is going to win the battle between online retailers and bricks-and-mortar stores? Will the bricks-and-mortar stores close down or will the online retailers [...]

Rules Of Engagement in The Age Of Chatbots…

By | 2018-08-03T12:35:59+00:00 March 27th, 2017|Artificial Intelligence, Big Data, Big Data Technologies, ChatBots, Data, Deep Learning, Intelligent Analytical System, Microsoft Azure, Microsoft Bot Framework|

In my last Blog post, I briefly explained the what a Chatbot is, gave examples of different kinds of Chatbots and explained how to build one using the Microsoft Bot Framework. In [...]