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1 & 2 APR `20 STATION BERLIN
11 Apr 2019 | 14:20 - 14:40 | Big-Data.AI Summit

Human in the Loop Machine Learning: Application to Financial Transaction Augmentation

Grace Hopper Stage
Stage BAS
We contend that a full-artificial intelligence is neither achievable, nor desirable. Instead we propose "Human-in-the-Loop Machine Learning" that places the business team at the core as both trainer and quality assurer of the ML feature of the product. We argue that we should concentrate more on the operationalization of the ML features and their integration into the service or the product. We present our ML development tools and process and demonstrate two use cases. We show that financial transactions can be used to predict life-changing events, and can be used as accurate next-best-offer tools for insurance products.
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