Transformers vs SDNs - the battle is on
Super excited to share the latest innovative strides the team here at PwC Switzerland is making?in the realm of name screening using AI! ??????
The challenge of identifying similar names is a complex puzzle and traditional fuzzy matching approaches quite often do produce mediocre results at best. It turns out the problem isn’t that easy to solve and we humans are extremely good at identifying and interpreting a vast range of name variations.
Misspellings? No problem! We often can infer the correct name from a typo due to our understanding of language structure and context.?
Nicknames? We recognise them easily, linking them to their formal counterparts.
Cultural variations, shortened versions, rearranged sequences of names - we seamlessly handle these complexities due to our inherent ability to understand cultural norms, local dialects, and societal nuances.?
We even recognise when a name sounds 'off' in our respective languages, an intuition developed through years of linguistic exposure. ??????
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To bring some of these capabilities to our screening solution we came up with a novel siamese transformer model that significantly improves our name matching processes. These models shine in understanding the intricate sequences and variations within names, offering a level of insight that was previously unattainable. ????
Working alongside traditional fuzzy matching techniques, our Siamese Transformer model adds a layer of quasi-human understanding to the process.
The result? An explainable and robust system capable of handling complex name variations with remarkable accuracy. And by training our models on domain-specific data, we can capture the unique nuances of different cultures or regions, ensuring a highly adaptable and versatile solution.?
As we navigate this journey, it is important to remember that AI is a powerful tool, but human oversight and strategic direction are still critical to success. It's through this fusion of machine intelligence and human expertise that we unlock the full potential of AI.
Cheers to Tenyang Rabgang for this outstanding achievement! ??????