Boosting IP intelligence accuracy using graph processing

Recommendations Meet Web Browsing

Efficiently compiling efficient query plans for modern hardware

Panel Moderator Dr Jonathan Schler, Commerce Essentials

Scaling Out Website Categorization

Can Automated Feature Discovery Prevent Target Leaks

Stream Analytics in the enterprise – a look at Intel’s internal IOT implementation

What goes on the train, stays on the train Or not

Productization of Machine Learning

Data Science Security From Sabotage to Fraud

Fundamentals of Stream Processing with Apache Beam

Data Exploration and Analysis in a World of Non Relational Datastores

Early Detection of Fraud Storms in the Cloud

Fraud, Fraud Analysts, and can we eliminate both by machine learning

Optimization based on predicted lifetime metrics

Boosting IP intelligence accuracy using graph processing

How to increase your profits using your data

Network neighborhood topology as a predictor for fraud & anomaly detection

Content Popularity vs Facebook Share ability in Click Prediction Modeling

Novel Visualizations in User Flow Analysis

Personalized nutrition by prediction of post meal blood glucose responses to food

Enable breakthroughs in disease research using technologies and Big Data analytics

Automating the process of building large scale predictive analytics models

Probabilistic Cross Device Matching

Combining batch and online learning for music recommendation