3 ms·
That's 800 credit card transactions a second --- thats people making deposits into their accounts to bet with. (btw I think that's peak - I'm not 100% sure) Th
by malux85 9y ago
That's 800 credit card transactions a second --- thats people making deposits into their accounts to bet with. (btw I think that's peak - I'm not 100% sure)
The frontends (where the casino / betting games run) do a lot more than this, but they work against the balance in the account, it's the payment gateway that's doing 800/s
- alexbeloi 9y agoWhy does a payment gateway need deep learning? I can't imagine an online betting system doing fraud detection on deposits.
- malux85 9y agoIt was a bit simplistic of me to summarize it as a payment gateway, it was actually 50-60% of their backend systems that was enhanced, it was called their "Big Data Project" They do do fraud detection on the deposits, because of anti-money-laundering. The DL models also monitor various other types of abuse (bonus abuse and in-game abusers). They also are experimenting with Deep Reenforcement Learning to actually play some of the games
- sjg007 9y agoI thought bots weren't allowed? Also a DL bot by the house would probably have an unfair advantage.
- deleted 9y ago[deleted]
- PeterisP 9y agoAn online betting system has to do fraud detection on a higher level than random merchants, since they can expect to be a target for large scale non-amateur fraudsters, and just as in any other business, if your incoming payments are fraudulent, you lose that money.
- cocoablazing 9y agoPerhaps for anti-money laundering compliance.
- sjg007 9y agoWell, I think random forests on a feature set probably plays a big role and is probably easier. But to use a deep neural network maybe, you might be able to get away with a convolutional network to extract higher order associations among some input set.