Internet of Things (IoT) has generated a ton of excitement and furious activity. However, I sense some discomfort and even dread in the IoT ecosystem about the future –...
Natural language processing (NLP) is a broad field encompassing many different tasks such as text search, translation, named entity recognition, and topic modeling. On a...
The database is like a library building … every book (information) that enters must be properly placed (processed systematically), when a number of books come then ...
Here are some recommended books for data science practitioners, covering machine learning, deep learning, business intelligence, forecasting, text analytics and much more...
There is so much hype and interest in Business Analytics (BA), it begs the question of digging deep into hives. I was curious in finding a little light of the following q...
The value of data-driven Customer Value Management or CVM cannot be underrated. Data and other algorithms/analytics that shape data are an imperative part of customer val...
Contributed by Ben Townson. He enrolled in the NYC Data Science Academy 12-week full time Data Science Bootcamp program taking place between July 5th to September 23rd,...
Summary: Where do we look to see the most advanced chatbots and the most complete application of AI? Chatbots designed as ‘artificially intelligent psychological co...
The introduction and adoption of Intelligent Personal Assistants (IPA) such as Google Assistant, Apple Siri and Amazon Alexa have, to some degree, changed a customer`s jo...
I wrote about this long ago (see here in 2014), and so did many other practitioners. This new post shows more maturity I think, a more coherent view about the various da...