How to turn Deep Tech into Broad Application

The hype is over: deep learning enters the “trough of disillusionment”. Companies are realizing that not every business problem requires the deep learning hammer. Of course, there are use cases that are best solved with artificial neural networks: image, speech and text recognition; anomaly detection and predictive maintenance on sensor data; complex data synthesis and sampling; reinforcement and sparse learning; and many more applications show the potential of artificial intelligence for real-world business scenarios. At the Deep Learning World conference data science experts present projects that went beyond experimentation and prototyping and showcase solutions that created economic value for the company. The case study sessions will focus on how it worked and what didn’t work while the deep dive sessions will explain topics such as RNN, CNN, LSTM, transfer learning and further in analytical and technical detail. Meet the European deep learning community in May in Munich and learn from well-known industry leaders!

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