Predictive Analytics World is the leading vendor independent conference for applied machine learning for industry 4.0.
Business users, decision makers and experts in predictive analytics will meet on 6-7 May 2019 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.
Putting Machine Intelligence into Production
Smart Factory, Smart Supply Chain, Smart Grid, Smart Transport: artificial intelligence promises an intelligent and fully automated future but reality is: most machines, most vehicles and most grids lack sensors and even where sensors do exist they might not be connected to the Internet of Things.
Many companies invested in their infrastructure and are experimenting with prototypes e.g. for predictive maintenance, dynamic replenishment, route optimization and more, but even if they succeeded in delivering a proof of concept they face the challenge to deploy their predictive model into production and scale their analytics solution to companywide adoption.
The issues are not merely analytical but a combination of technical, organisational, judicial and economic details. At the Predictive Analytics World for Industry 4.0 experienced data scientists and business decision makers from a wide variety of industries will meet for two days to demonstrate and to discuss dozens of real-world case studies from well-known industry leaders.
In addition, predictive analytics experts will explore new methods and tools in special deep dive sessions in detail. Finally, the Predictive Analytics World is accompanied by the Deep Learning World conference, which focuses on the industry and business application of neural networks. Take the chance, learn from the experts and meet your industry peers in Munich in May!
Hot topics on the 2019 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