How the Internet of Things Technology is Impacting the World
Internet of Things, or commonly referred to as IoT, is disrupting industries and arguably making the world a much better…
DIE Konferenz für Digital Analysts
Optimieren Sie den Einsatz von Daten für Ihr Marketing
Lernen Sie am 16. und 17. November 2020 auf der Marketing Analytics…
How the Pandemic is Changing the Data Analytics Outsourcing Industry
While media pundits have largely focused on the impact of COVID-19 as far as human health is concerned, it hasn't been particularly…
How Tech Helps Keep You Safe Throughout the Day
Safety is always a primary concern for people no matter what is happening in the world, but there are certain times when…
In-memory Data Grid vs. Distributed Cache: Which is Best?
Distributed caching has been a boon for IT professionals in the past due to its ability to make data always available even…
5 Data Privacy Predictions for 2021
2020 has been a significant year for data management. As businesses face new technological challenges amid the COVID-19 pandemic,…
How to develop digital products and solutions for industrial environments?
In this article, we substantiate why Data Science and Engineering should be introduced as new engineering discipline in the Product Lifecycle Management process.
Process Mining mit PAFnow - Artikelserie
Artikelserie zu Process Mining Tools - PAFnow
Der zweite Artikel der Artikelserie Process Mining Tools beschäftigt sich…
Test-data management support in Test Automation Development
Data is centric in testing of several applications because data is critical to organizations. Businesses are becoming more…
LSTM back propagation: following the flows of variables
First of all, the summary of this article is: please just download my Power Point slides which I made and be patient, following…
Hypothesis Test for real problems
/0 Comments/in Data Science, Main Category, Statistics /by Saurav SinglaA statistical hypothesis is a belief made about a population parameter. This belief may or might not be right. In other words, hypothesis testing is a proper technique utilized by scientist to support or reject statistical hypotheses. The foremost ideal approach to decide if a statistical hypothesis is correct is examine the whole population.
Must-have Skills to Master Data Science
/3 Comments/in Carrier, Gerneral, Insights /by Ranjana MoolyaThe need to process a massive amount of data sets is making Data Science the most-demanded job across diverse industry verticals. In today’s times, organizations are actively looking for Data Scientists. But What does a Data Scientist do? Data Scientist design data models, create various algorithms to extract the data the organization needs, and then […]
Understanding LSTM forward propagation in two ways
/0 Comments/in Artificial Intelligence, Data Mining, Data Science, Data Science Hack, Deep Learning, Machine Learning, Main Category, Predictive Analytics /by Yasuto Tamura*This article is only for the sake of understanding the equations in the second page of the paper named “LSTM: A Search Space Odyssey”. If you have no trouble understanding the equations of LSTM forward propagation, I recommend you to skip this article and go the the next article. *This article is the fourth article […]
Process Mining mit Celonis – Artikelserie
/1 Comment/in Business Analytics, Business Intelligence, Insights, Main Category, Process Mining, Tool Introduction /by Jurek DörnerInsgesamt stellt Celonis ein unabhängiges und leistungsstarkes Process Mining Tool bereit, wobei der Anwender die Wahl zwischen einer on-Premise-Lösung sowie einer Cloud-Lösung hat. Die „prebuild Process-Connectors“ und die vordefinierten Analysen können ein Process Mining Projekt signifikant beschleunigen und somit die Time-to-Value lukrativ verkürzen. Die Analyse Tools sind leicht bedienbar und schaffen dank integrierter Machine Learning Algorithmen Optimierungspotentiale.
AI Voice Assistants are the Next Revolution: How Prepared are You?
/0 Comments/in Uncategorized /by Michael LyammAccording to Jeff Bezos, Amazon CEO, he says we’re already living in the golden era of artificial intelligence as such where the voice assistant flagship already exists, i.e. Alexa.
Data Science – A Beautiful Data Driven Journey
/1 Comment/in Certification / Training, Education / Certification /by Bharani KumarData Science is a profession related to processing algorithms and extracting deep insights from raw data. It depicts the importance of data and how it can be used in business and to make IT strategies. For recognizing the new ventures available in the market, identifying the patterns and to make better business decisions, data science […]
How Data Science Can Benefit Nonprofits
/0 Comments/in Data Science, Use Case /by Luke SmithImage Source: https://pixabay.com/vectors/pixel-cells-pixel-creative-commons-3704068/ Data science is the poster child of the 21st century and for good reason. Data-based decisions have streamlined, automated, and made businesses more efficient than ever before, and there are practically no industries that haven’t recognized its immense potential. But when you think of data science application, sectors like marketing, finance, technology, […]
Interview: Data Science in der Finanzbranche
/0 Comments/in Data Science, Insights, Interviews, Main Category /by Benjamin AunkoferInterview mit Torsten Nahm von der DKB (Deutsche Kreditbank AG) über Data Science in der Finanzbranche Torsten Nahm ist Head of Data Science bei der DKB (Deutsche Kreditbank AG) in Berlin. Er hat Mathematik in Bonn mit einem Schwerpunkt auf Statistik und numerischen Methoden studiert. Er war zuvor u.a. als Berater bei KPMG und OliverWyman […]
A brief history of neural nets: everything you should know before learning LSTM
/0 Comments/in Artificial Intelligence, Data Mining, Data Science, Data Science Hack, Deep Learning, Machine Learning, Main Category, Predictive Analytics, TensorFlow /by Yasuto TamuraThis series is not a college course or something on deep learning with strict deadlines for assignments, so let’s take a detour from practical stuff and take a brief look at the history of neural networks. The history of neural networks is also a big topic, which could be so long that I had to […]
Sechs Eigenschaften einer modernen Business Intelligence
/1 Comment/in Artificial Intelligence, Business Analytics, Business Intelligence, Data Mining, Data Science, Data Science News, Data Warehousing, Database, Gerneral, Insights, Main Category, Predictive Analytics, Process Mining /by Benjamin AunkoferVöllig unabhängig von der Branche, in der Sie tätig sind, benötigen Sie Informationssysteme, die Ihre geschäftlichen Daten auswerten, um Ihnen Entscheidungsgrundlagen zu liefern. Diese Systeme werden gemeinläufig als sogenannte Business Intelligence (BI) bezeichnet. Tatsächlich leiden die meisten BI-Systeme an Mängeln, die abstellbar sind. Darüber hinaus kann moderne BI Entscheidungen teilweise automatisieren und umfassende Analysen bei […]