))
Data Strategy for FinTech use cases such as Fraud Detection
Manage episode 305902517 series 2927369
Conteúdo fornecido por Data Transformers Podcast. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Data Transformers Podcast ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.
Artificial Intelligence and Machine Learning (AIML) has been extremely beneficial for some use cases such as fraud detection in FinTech sector. AIML enabled companies to do real-time fraud detection from what used to be a batch-oriented fraud detection. But to be able to do that, companies need to have an enterprise wide data platform. Additionally, organizations need to think through the entire process of AIML instrumentation to adopt to changing use cases and not just data and models. Lastly, COVID focused businesses to compress technology adoption to a few months and this has been good for businesses.
…
continue reading
50 episódios
Compartilhar
