Data Science für Smart Home im familiengeführten Unternehmen Miele
Dr. Florian Nielsen ist Principal for AI und Data Science bei Miele im Bereich Smart Home und zuständig für die Entwicklung…
Process Mining Tools - Artikelserie
Process Mining ist nicht länger nur ein Buzzword, sondern ein relevanter Teil der Business Intelligence. Process Mining…
Zertifikatsstudium „Data Science and Big Data“ 2021 an der TU Dortmund
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Komplexe Daten aufbereiten und analysieren, um daraus zukünftige Entwicklungen abzulesen: das lernen Sie im berufsbegleitenden…
Simple RNN: the first foothold for understanding LSTM
*In this article "Densely Connected Layers" is written as "DCL," and "Convolutional Neural Network" as "CNN."
In the last…
Severity of lockdowns and how they are reflected in mobility data
The global spread of the SARS-CoV-2 at the beginning of March 2020 forced majority of countries to introduce measures to…
Capturing COVID: How and Why Data Mining is Being Used to Combat Coronavirus
Image Source: Pixabay (https://pixabay.com/illustrations/artificial-intelligence-brain-think-3382507/)
In just a few short…
Interview - Machine Learning in Marketing und CRM
Interview mit Herrn Laurenz Wuttke von der datasolut GmbH über Machine Learning in Marketing und CRM.
Laurenz Wuttke ist…
How Text to Speech Voices Are Used In Data Science
To speak on voices, text to speech platforms are bringing versatility to a new scale by implementing voices that sound more…
Prerequisites for understanding RNN at a more mathematical level
/0 Comments/in Artificial Intelligence, Big Data, Data Science, Data Science Hack, Deep Learning, Gerneral, Insights, Machine Learning, Main Category, Natural Language Processing, Text Mining /by Yasuto TamuraWriting the A gentle introduction to the tiresome part of understanding RNN Article Series on recurrent neural network (RNN) is nothing like a creative or ingenious idea. It is quite an ordinary topic. But still I am going to write my own new article on this ordinary topic because I have been frustrated by lack of […]
Interview: Operationalisierung von Data Science
/0 Comments/in Artificial Intelligence, Big Data, Business Intelligence, Data Engineering, Data Mining, Data Science, Insights, Interviews, Main Category /by Benjamin AunkoferInterview mit Herrn Dr. Frank Block von Roche Diagnostics über Operationalisierung von Data Science Herr Dr. Frank Block ist Head of IT Data Science bei Roche Diagnostics mit Sitz in der Schweiz. Zuvor war er Chief Data Scientist bei der Ricardo AG nachdem er für andere Unternehmen die Datenanalytik verantwortet hatte und auch 20 Jahre […]
Einführung und Vertiefung in R Statistics mit den Dortmunder R-Kursen!
/0 Comments/in Carrier, Certification / Training, Education / Certification, Gerneral, R Statistics /by eventsIm Rahmen der Dortmunder R Kurse bieten wir unsere Expertise in Schulungen für die Programmiersprache R an. Zielgruppe unserer Fortbildungen sind nicht nur Statistiker, sondern auch Anwender jeder Fachrichtung aus Industrie und Forschungseinrichtungen, die mit R ihre Daten analysieren wollen. Die Dortmunder R-Kurse werden ausschließlich von Statistikern mit langjähriger Erfahrung angeboten. Die Referenten gehören zum engsten Kreis […]
As Businesses Struggle With ML, Automation Offers a Solution
/0 Comments/in Artificial Intelligence, Gerneral, Insights, Main Category /by Philip PileticIn recent years, machine learning technology and the business solutions it enables has developed into a big business in and of itself. According to the industry analysts at IDC, spending on ML and AI technology is set to grow to almost $98 billion per year by 2023. In practical terms, that figure represents a business […]
Data Analytics & Artificial Intelligence Trends in 2020
/1 Comment/in Data Science Hack, Data Science News, Insights /by Aran DaviesArtificial intelligence has infiltrated all aspects of our lives and brought significant improvements. Although the first thing that comes to most people’s minds when they think about AI are humanoid robots or intelligent machines from sci-fi flicks, this technology has had the most impressive advancements in the field of data science. Big data analytics is […]
Six properties of modern Business Intelligence
/0 Comments/in Business Analytics, Business Intelligence, Data Mining, Data Science, Gerneral, Insights, Main Category, Predictive Analytics, Process Mining /by Benjamin AunkoferRegardless of the industry in which you operate, you need information systems that evaluate your business data in order to provide you with a basis for decision-making. These systems are commonly referred to as so-called business intelligence (BI). In fact, most BI systems suffer from deficiencies that can be eliminated. In addition, modern BI can […]
Interview – There is no stand-alone strategy for AI, it must be part of the company-wide strategy
/0 Comments/in Data Science News, Gerneral, Insights, Interviews /by Benjamin AunkoferRonny Fehling is Partner and Associate Director for Artificial Intelligence as the Boston Consulting Group GAMMA. With more than 20 years of continually progressive experience in leading business and technology innovation, spearheading digital transformation, and aligning the corporate strategy with Artificial Intelligence he industry-leading organizations to grow their top-line and kick-start their digital transformation. Ronny […]
Simplify Vendor Onboarding with Automated Data Integration
/0 Comments/in Data Engineering, Data Warehousing, Insights, Main Category /by Tehreem NaeemVendor onboarding is a key business process that involves collecting and processing large data volumes from one or multiple vendors. Business users need vendor information in a standardized format to use it for subsequent data processes. However, consolidating and standardizing data for each new vendor requires IT teams to write code for custom integration flows, […]
Interview – Predictive Maintenance and how it can unleash cost savings
/0 Comments/in Data Science, Gerneral, Insights, Interviews, Predictive Analytics /by Benjamin AunkoferInterview with Dr. Kai Goebel, Principal Scientist at PARC, a Xerox Company, about Predictive Maintenance and how it can unleash cost savings. Dr. Kai Goebel is principal scientist as PARC with more than two decades experience in corporate and government research organizations. He is responsible for leading applied research on state awareness, prognostics and decision-making […]
A gentle introduction to the tiresome part of understanding RNN
/0 Comments/in Artificial Intelligence, Data Science, Deep Learning, Machine Learning, Mathematics, Uncategorized /by Yasuto TamuraJust as a normal conversation in a random pub or bar in Berlin, people often ask me “Which language do you use?” I always answer “LaTeX and PowerPoint.” I have been doing an internship at DATANOMIQ and trying to make straightforward but precise study materials on deep learning. I myself started learning machine learning in […]