AI has a great potential for positive impact within financial services but the sensitivity of data requires them to be handled with diligence and care.
The data flow is sensitive and complex and therefore needs to be labeled with prudence for the building of accurate AI tools.
Dedicated customer journeys are fundamental to promote customer loyalty and cross selling of products; personalised banking tools are therefore necessary. Risk assessment is also key for a clean financial system and the flow of data processed can be sensitive and confidential.
Services handling private information to build business decision are exposed to different risks which can be reduced thanks to AI solutions. In order to build the AI tools the data gathered must be annotated and labelled following strict rules
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