{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"The Buzz ","title":"How machine learning reduces false positives in AML ","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/e3738c6b\"></iframe>","width":"100%","height":180,"duration":778,"description":"In this podcast, Hawk AI founder and CEO Tobias Schweiger discusses the use of machine learning to eliminate false positives created by AML rules-based engines while stressing that new technologies should be seen as a supplement — not a replacement — for rules-based detection. ","thumbnail_url":"https://img.transistorcdn.com/ACPInZqu9KDzgjBrGs-JxU4mAR_XSEVqA9TnhENGN10/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8xMTNi/OWQxYjg2ZmNhMWM0/MjJkYjQwZTYwODAx/ZGEzNC5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}