{"id":27248,"date":"2021-08-18T16:00:00","date_gmt":"2021-08-18T13:00:00","guid":{"rendered":"https:\/\/saudishopper.com.sa\/en\/?p=27248"},"modified":"2026-03-27T23:03:45","modified_gmt":"2026-03-27T20:03:45","slug":"pandemic-spurs-banks-ai-adoption-for-aml-sas-study-shows","status":"publish","type":"post","link":"https:\/\/saudishopper.com.sa\/en\/pandemic-spurs-banks-ai-adoption-for-aml-sas-study-shows\/","title":{"rendered":"Pandemic spurs banks&#8217; AI adoption for AML, SAS study shows"},"content":{"rendered":"\n<ul class=\"wp-block-list\"><li><em>Amid a COVID-driven surge in fraud and financial crime, more than half of financial institutions have either already deployed AI in their anti-money laundering compliance processes or plan to imminently<\/em><\/li><\/ul>\n\n\n\n<h1 class=\"wp-block-heading\">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\"><a><\/a><strong>Dubai, United Arab Emirates (August 18, 2021)<\/strong>&nbsp;&#8211;&nbsp;A third of financial institutions are accelerating their AI and machine learning (ML) adoption for anti-money laundering (AML) technology in response to COVID-19. Meanwhile, another 39% of compliance professionals said their AI\/ML adoption plans will continue unabated, despite the pandemic\u2019s disruption. These industry trends and others are explored in a new&nbsp;<a href=\"https:\/\/www.sas.com\/gms\/redirect.jsp?detail=GMS147821_258662\">AML technology study<\/a>&nbsp;by&nbsp;SAS,&nbsp;KPMG&nbsp;and the Association of Certified Anti-Money Laundering Specialists (ACAMS).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The report,&nbsp;<em>Acceleration Through Adversity: The State of AI and Machine Learning Adoption in&nbsp;<\/em><a href=\"https:\/\/www.sas.com\/gms\/redirect.jsp?detail=GMS147821_233398\"><em>Anti-Money Laundering<\/em><\/a><em>&nbsp;Compliance<\/em>, and a complementing&nbsp;<a href=\"https:\/\/www.sas.com\/gms\/redirect.jsp?detail=GMS147821_258665\">survey data dashboard<\/a>&nbsp;examine insights provided by more than 850 ACAMS members worldwide. ACAMS surveyed each about their employer organizations\u2019 use of technology to detect money laundering, estimated in the range of 2% to 5% of global GDP \u2013 or US$800 billion to US$2 trillion \u2013 annually.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">AI&nbsp;and&nbsp;ML&nbsp;have emerged as key technologies for compliance professionals as they look to streamline their AML compliance processes to fight financial crime and money laundering. More than half (57%) of respondents have either deployed AI\/ML into their AML compliance processes, are piloting AI solutions or plan to implement them in the next 12-18 months.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u201cAs regulators across the world increasingly judge financial institutions\u2019 compliance efforts based on the effectiveness of the intelligence they provide to law enforcement, it\u2019s no surprise 66% of respondents believe regulators want their institutions to leverage AI and machine learning,\u201d said Kieran Beer, Chief Analyst and Director of Editorial Content at ACAMS. \u201cWhile many in the anti-financial crime world \u2013 the regulators and financial institutions alike \u2013 are just coming up to speed on these advanced analytic technologies, there\u2019s clearly shared hope that these tools will produce truly effective financial intelligence that catches the bad guys.\u201d&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a>It\u2019s not just the largest financial institutions leading the charge on technology adoption either. Twenty-eight percent of large financial institutions, those with assets greater than $1 billion, consider themselves innovators and fast adopters of AI technology. However, encouragingly, 16% of smaller financial institutions (those valued below $1 billion) also view themselves as industry leaders in AI adoption.&nbsp;<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u201cSeeing a strong percentage of smaller financial organizations label themselves industry leaders debunks the myth that advanced technological solutions beyond the reach of smaller financial organizations,\u201d said Tom Keegan, Principal U.S. Solution Leader for Financial Crimes and America Forensic Technology Services, KPMG. \u201cWith both smaller and larger organizations subject to the same level of regulatory scrutiny, it\u2019s important that these numbers continue to rise.\u201d&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Regardless of institution size, the pressure on banks to meet COVID-19\u2019s disruption head on, while boosting accuracy and productivity, is the likely impetus to the industry\u2019s accelerating use of advanced analytics for AML. The two primary drivers of AI and ML adoption, according to respondents, are to:&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">1)&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Improve the quality of investigations and regulatory filings (40%).&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">2)&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Reduce false positives and resulting operational costs (38%).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u201cThe radical shift in consumer behavior sparked by the pandemic has forced many financial institutions to see that static, rules-based monitoring strategies simply aren\u2019t as accurate or adaptive as behavioral decisioning systems,\u201d said David Stewart, Director of Financial Crimes and Compliance at SAS. \u201cAI and ML technologies are dynamic by nature, able to intelligently adapt to market changes and emerging risks \u2013 and they can be integrated into existing compliance programs quickly, with minimal disruption. Early adopters are gaining significant efficiencies while helping their institutions comply with rising regulatory expectations.\u201d<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For more insight into the state of AI and ML adoption in AML compliance, check out the on-demand\u00a0<a href=\"https:\/\/www.sas.com\/gms\/redirect.jsp?detail=GMS147821_258668\" target=\"_blank\" rel=\"noreferrer noopener\">AML webinar<\/a>,\u00a0<em>The Truth Revealed: Global Insights on the Adoption of AI in the Fight Against Money Laundering and Financial Crime<\/em>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Amid a COVID-driven surge in fraud and financial crime, more than half of financial institutions have either already deployed AI in their anti-money laundering compliance processes or plan to imminently &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Dubai, United Arab Emirates (August 18, 2021)&nbsp;&#8211;&nbsp;A third of financial institutions are accelerating their AI and machine learning (ML) adoption for anti-money laundering (AML) [&hellip;]<\/p>\n","protected":false},"author":13,"featured_media":27250,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_yoast_wpseo_meta-robots-noindex":"","_et_pb_use_builder":"off","_et_pb_old_content":"","_et_gb_content_width":"","_pr_autopilot_social_copy":"","_yoast_wpseo_opengraph_title":"","_yoast_wpseo_opengraph_description":"","_yoast_wpseo_opengraph_image":"","_yoast_wpseo_opengraph_image_id":0,"_yoast_wpseo_twitter_title":"","_yoast_wpseo_twitter_description":"","_yoast_wpseo_twitter_image":"","_yoast_wpseo_twitter_image_id":0,"_yoast_wpseo_primary_category":24,"_extra_hide_author_box":"","_extra_featured_post":"","_partner_post_id":0,"footnotes":""},"categories":[24],"tags":[],"class_list":["post-27248","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-economy","et-has-post-format-content","et_post_format-et-post-format-standard"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI adoption for AML - Pandemic drives banks | Saudi Shopper<\/title>\n<meta name=\"description\" content=\"AI adoption for AML is accelerating as COVID-19 boosts fraud. 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