Datafloq

Data and Technology Insights

Predictive Analytics World for Industry 4.0

Location: Am Tucherpark 7, M nchen, Germany


After a very well received inaugural edition last year, Predictive Analytics World for Industry 4.0, is back! This year, the industry 4.0 community will meet in Munich, at the Hilton Munich Park, on the 12-13 of June 2018.’

Business users, decision makers and experts in predictive analytics will meet on 12-13 June 2018 in Munich to discover and discuss the’latest trends and technologies in machine & deep learning for the era of Internet of Things and artificial intelligence.’

Data and analytics are the two sides of the same coin, the same goes for IoT and AI.’Without artificial intelligence the gigantic amounts of sensor data produced by the Internet of Things devices will be worthless because humans won’t be able to analyze it. Without the Internet of Things, the artificial intelligences would lack of training data for the machine learning algorithms and the predictions and recommendations generated by the algorithms wouldn’t reach the devices.’

To realize the vision of smart devices, smart factories or even smart cities, we need smart algorithms to solve the challenges specific to industry 4.0 analytics and we need smart data scientists who combine analytical expertise with industry domain knowledge. For this reason, we invite you to take part in this extraordinary event. Together, let us translate the vision of an Industry 4.0 into action.’

Take a peek at the’programme‘and the’speaker line-up‘for this year’s edition of’the leading vendor-independent conference for applied predictive analytics in industry.’

Hot topics on the 2018′
agenda:

  • Predictive Maintenance & Logistics
  • Anomaly Detection & Root Cause Analysis
  • Fault Prediction & Failure Detection
  • Risk Management & Prevention
  • Route & Stock Optimization
  • Industry & Supply Chain Analytics
  • Image & Video Recognition
  • Internet of Things & Smart Devices
  • Stream Mining & Edge Analytics
  • Machine ~, Ensemble ~ & Deep Learning
  • Process Mining & Network Analyses
  • Mining Open & Earth Observation Data
  • Edge Analytics & Federated Learning


and many more related topics