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Responsible Handling of Data – Process Mining Rule 2 of 4
/1 Comment/in Big Data, Business Analytics, Business Intelligence, Data Mining, Data Science, Data Security, Data Warehousing, Process Mining, Projectmanagement /by Anne Rozinat & Christian W. GüntherThis is article no. 2 of the four-part article series Privacy, Security and Ethics in Process Mining. Read this article in German: “Datenschutz, Sicherheit und Ethik beim Process Mining – Regel 2 von 4“ Like in any other data analysis technique, you must be careful with the data once you have obtained it. In many projects, […]
Five Illusions about Big Data you can’t help but believe in
/0 Comments/in Big Data, Business Analytics, Main Category, Projectmanagement /by Shreya DharBig Data is a smorgasbord of data. Even the marketing world has acknowledged the gravity of Big Data. But alas! Instead of having such a resplendent data power by our side, we are no closer to construct smart marketing decisions than before, when the concept was not well known. So, something is definitely not right, […]
Clarify Goal of the Analysis – Process Mining Rule 1 of 4
/1 Comment/in Audit Analytics, Business Analytics, Business Intelligence, Data Mining, Data Science, Data Security, Process Mining, Projectmanagement /by Anne Rozinat & Christian W. GüntherThe good news is that in most situations Process Mining does not need to evaluate personal information, because it usually focuses on the internal organizational processes rather than, for example, on customer profiles. Furthermore, you are investigating the overall process patterns.
Privacy, Security and Ethics in Process Mining – Article Series
/4 Comments/in Audit Analytics, Data Mining, Data Science, Data Security, Data Warehousing, Main Category, Process Mining, Visualization /by Anne Rozinat & Christian W. GüntherWhen I moved to the Netherlands 12 years ago and started grocery shopping at one of the local supermarket chains, Albert Heijn, I initially resisted getting their Bonus card (a loyalty card for discounts), because I did not want the company to track my purchases. I felt that using this information would help them to […]
Statistical Relational Learning – Part 2
/0 Comments/in Artificial Intelligence, Data Mining, Data Science, Data Science at the Command Line, Machine Learning, Statistics, Tools, Tutorial /by Vishal BhallaIn the first part of this series on “An Introduction to Statistical Relational Learning”, I touched upon the basic Machine Learning paradigms, some background and intuition of the concepts and concluded with how the MLN template looks like. In this blog, we will dive in to get an in depth knowledge on the MLN template; […]
Interview – Using Decision Science to forecast customer behaviour
/0 Comments/in Carrier, Gerneral, Interview mit CIO, Interviews /by Benjamin AunkoferInterview with Dr. Eva-Marie Müller-Stüler from KPMG about how to use Decision Science to forecast customer behaviour Dr. Eva-Marie Müller-Stüler is Chief Data Scientist and Associate Director in Decision Science at KPMG LLP in London. She graduated as a mathematician at the Technical University of Munich with a year abroad in Tokyo, and completed her […]
A review of Language Understanding tools – IBM Conversation
/0 Comments/in Artificial Intelligence, Big Data, Data Science, Gerneral, Machine Learning /by Vishal BhallaIn the first part of this series, we saw how top firms with their different assistants are vying to acquire a space in the dialogue market. In this second and final part of this blog-series on Conversational AI, I go more technical to discuss the fundamentals of the underlying concept behind building a Dialogue system […]
A “Dialogue” on the recent advances in Conversational Artificial Intelligence (AI)
/0 Comments/in Artificial Intelligence, Data Science News /by Vishal BhallaHow important is it to interact, converse and emote in a world that is getting closed and parochial? Conversational Artificial Intelligence (AI) offers a leeway to build agents that have the capability to learn and respond like humans and thereby align in bringing the long term goal of General AI to fruition. Conversation with artificial […]
Statistical Relational Learning
/1 Comment/in Artificial Intelligence, Data Science, Machine Learning, Statistics /by Vishal BhallaAn Introduction to Statistical Relational Learning – Part 1 Statistical Relational Learning (SRL) is an emerging field and one that is taking centre stage in the Data Science age. Big Data has been one of the primary reasons for the continued prominence of this relational learning approach given, the voluminous amount of data available now […]
Data Science on a large scale – can it be done?
/0 Comments/in Big Data, Business Intelligence, Data Science News, InMemory, NoSQL, Tools /by Mathias GolombekAnalytics drives business In today’s digital world, data has become the crucial success factor for businesses as they seek to maintain a competitive advantage, and there are numerous examples of how companies have found smart ways of monetizing data and deriving value accordingly. On the one hand, many companies use data analytics to streamline production […]