ECOMMERCE
“ Access to this high-fidelity data will be crucial to eCommerce journey development , optimising existing processes , empowering users , and improving the overall user experience .”
Algorithmic bias : Ethical considerations when implementing AI technologies in eCommerce The ways in which a company looks after , uses and governs its customers ’ personal data is going to become more important as regulations such as the EU ’ s AI Act are formalised .
When it comes to AI , Hanson says , “ eCommerce firms need to be cognisant of the growing movement to protect customers ’ rights to privacy and provide full visibility into the origin of data on which AI models are built .
“ This means that the need for data accuracy , clarity , lineage and governance will intensify . Ultimately this is driving the need for a metadata system of record which can provide this level of visibility .” Increasing regulation will undoubtedly come , and therefore organisations need to build governance in as a foundational layer to everything they do with data , AI And ML . He says : “ Without such core functions , many organisations will not be able to harness the power of AI , as they will fear the risks associated with the use of data , regulatory fines and brand impact .”
Hanson says that ultimately , data management and governance capabilities will play a growing role in managing the massive amounts of data that AI generates and consumes for eCommerce . “ While privacy policies will also remain central to the customer experience - offering clear guidance to users about what data is being collected , how it will be securely stored and ultimately used .” aimagazine . com 89