In a recent project, iunera sought to determine if it is possible to predict crypto currency exchange rates by utilizing social data from Twitter. I’ll talk about our experiences and describe how we leveraged online learning in conjunction with social data to determine if we are able to predict future currency exchange rates. I’ll point out the general architecture and describe the most interesting findings.
Required audience experience
Basic stream processing klowledge
Objective of the talk
The audience can learn from our experiences and pitfalls. The new possibilities that open up with more and more Kappa architectures in enterprises leverage new possibilities for real online learning. Therefore, the aspiration is to bring this field in general forward, by sharing insights.
You can view Tim’s presentation below: