Tag: Big Data
Insurance weekly News: CV 21
Cyber risks and corresponding insurance solutions are increasingly occupying the industry. Soon the DSGVO will come into force - how far have German insurers progressed with its implementation? This and more news from the insurance industry in our overview.
Datenbank-Spektrum: Technical article on the recomputability of data products
For data-driven organizations, a key challenge is to incorporate new data into existing charts, reports or recommendations. However, these data products often also contain...
data2day Workshop: Analysis and Classification of Text Data
From September 26 to 29, data2day – a conference for Big Data, Data Science and Machine Learning – will take place in Heidelberg. Stephanie...
AI between comfort and loss of control
Data-driven decision-making models are regarded as important pillars of digital business. But are algorithms that make decisions a purely technical matter? We talked with...
iX report: Apache projects for analyzing large amounts of data
Hadoop, Storm, Kafka, Calcite, Zeppelin, Hive, Spark, Sqoop… The Apache Software Foundation brings together a continuously growing repertoire of open-source Big Data software. Some...
Dataworks Summit: Text Classification with R, Apache Solr and D3.js
From April 5 to 6, Hortonworks hosts the Dataworks Summit Europe 2017 in Munich. Stephanie Fischer and Christian Winkler from mgm are at the scene and give a talk...
Article at heise: „Echtzeitkontext für bessere Suchergebnisse auf Websites“
When customers search for products in online stores, their previous behavior and interests are mostly ignored. The relevance of search results can be significantly...
Big Data Summit 2017: GfK and mgm give a talk about the classification of...
Day by day the Internet amasses more text in the form of unstructured data. How can we process these large amounts of data automatically?
Classifying unstructured text – mgm presentation at the Apache Big Data
With their presentation „Classifying unstructured text – deterministic and machine learning approaches“ at the Apache Big Data Europe conference in Sevilla...
TDWI Conference 2016 – A controversial dialogue about Big Data
What are the cornerstones of successful Big Data projects? Technical aspects like scalable data storage and fast access times? Or organizational aspects like...