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Data Science vs Data Engineering
/0 Comments/in Carrier, Data Engineering, Data Science, Data Science News, Education / Certification, Gerneral, Main Category /by Benjamin AunkoferThe job of the Data Scientist is actually a fairly new trend, and yet other job titles are coming to us. “Is this really necessary?”, Some will ask. But the answer is clear: yes! There are situations, every Data Scientist know: a recruiter calls, speaks about a great new challenge for a Data Scientist as […]
Data Science Knowledge Stack – Abstraction of the Data Science Skillset
/0 Comments/in Big Data, Business Analytics, Carrier, Data Science, Data Science News, Education / Certification, Gerneral, Main Category, Projectmanagement /by Benjamin AunkoferWhat must a Data Scientist be able to do? Which skills does as Data Scientist need to have? This question has often been asked and frequently answered by several Data Science Experts. In fact, it is now quite clear what kind of problems a Data Scientist should be able to solve and which skills are […]
Is Data Science the new Statistics?
/0 Comments/in Big Data, Business Analytics, Carrier, Data Science, Education / Certification, Gerneral, Insights, Main Category /by Marta FajlhauerTable of Contents 1 Introduction 2 Emerging of Data Science 3 Big data technologies 4 Two data worlds: Predictive vs inferential statistics 5 How to study data science 6 Conclusions 7 References Introduction As a student of Statistics and the winner of Data Science Scholarship I am often surrounded by computer scientists, mathematicians, physicists and of course statisticians. During conversation, […]
Data Science and Predictive Analytics in Healthcare
/0 Comments/in Big Data, Data Science, Data Science News, Main Category, Use Case /by Thomas BlanchardDoing data science in a healthcare company can save lives. Whether it’s by predicting which patients have a tumor on an MRI, are at risk of re-admission, or have misclassified diagnoses in electronic medical records are all examples of how predictive models can lead to better health outcomes and improve the quality of life of […]
The Future of CRM Systems
/0 Comments/in Big Data, Business Analytics, Business Intelligence, Customer Analytics, Main Category /by Philip PileticGrowth comes hand in hand with technology advancement. Today CRM software help in handling all customer data including buying habits for as long as they are attached to the company. With all the data collected, what next? How can CRM systems make things better? Most companies find themselves with a lot of data on their […]
Ways AI & ML Are Changing How We Live
/0 Comments/in Artificial Intelligence, Big Data, Business Analytics, Business Intelligence, Cloud, Data Science, Deep Learning, Machine Learning, Main Category, Predictive Analytics, Use Cases /by Philip PileticFrom Amazon’s Alexa, a personal assistant that can do anything from making your to-do list to giving a wide range of real-time information about the world around you, to Google’s DeepMind that has very recently made headlines for possibly being able to predict the future, AI and ML are the biggest development in human history. […]
Establish a Collaborative Culture – Process Mining Rule 4 of 4
/0 Comments/in Audit Analytics, Business Analytics, Business Intelligence, Data Mining, Data Science, Data Security, Experience, Main Category, Process Mining, Projectmanagement /by Anne Rozinat & Christian W. GüntherThis is article no. 4 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 4 von 4“ Perhaps the most important ingredient in creating a responsible process mining environment is to establish a collaborative culture within your organization. Process […]
Artificial Intelligence and Data Science in the Automotive Industry
/1 Comment/in Artificial Intelligence, Big Data, Business Analytics, Business Intelligence, Cloud, Connected Car, Data Science, Machine Learning, Main Category, Manufacturing, Projectmanagement, Use Case, Use Cases /by VolkswagenData science and machine learning are the key technologies when it comes to the processes and products with automatic learning and optimization to be used in the automotive industry of the future. This article defines the terms “data science” (also referred to as “data analytics”) and “machine learning” and how they are related.
What makes a good Data Scientist? Answered by leading Data Officers!
/0 Comments/in Carrier, Education / Certification, Gerneral, Interviews, Main Category /by Benjamin AunkoferWhat makes a good Data Scientist? A question I got asked recently a lot by data science newbies as well as long-established CIOs and my answer ist probably not what you think: In my opinion is a good Data Scientist somebody with, at least, a good knowledge of computer programming, statistics and the ability of understanding […]
Consider Anonymization – Process Mining Rule 3 of 4
/0 Comments/in Audit Analytics, Big Data, Business Analytics, Business Intelligence, Cloud, Data Migration, Data Mining, Data Science, Data Security, Data Warehousing, Main Category, Process Mining /by Anne Rozinat & Christian W. GüntherThis is article no. 3 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 3 von 4“ If you have sensitive information in your data set, instead of removing it you can also consider the use of anonymization. When […]