{"id":80495,"date":"2024-02-16T09:06:19","date_gmt":"2024-02-16T09:06:19","guid":{"rendered":"https:\/\/ainalalam.com\/?p=80495"},"modified":"2024-02-16T09:06:19","modified_gmt":"2024-02-16T09:06:19","slug":"finserv-forecast-2024-12-technology-and-trend-predictions","status":"publish","type":"post","link":"https:\/\/ainalalam.com\/?p=80495","title":{"rendered":"FinServ Forecast 2024: 12 technology and trend predictions"},"content":{"rendered":"[mhc_section admin_label=”section” transparent_background=”off” gradient_background=”off” background_color=”#444444″ gradient_style=”horizontal” inner_shadow=”on” parallax=”off” parallax_method=”off” video_hide=”off” video_pause=”off” allow_advanced_padding=”on” remove_padding=”on” force_fullwidth=”off” column_paddings=”padding-0pct” column_match_heights=”off” background_leak=”bottom” background_leak_color=”#ffffff” background_leak_size=”25″ separator_top=”off” separator_bottom=”off” background_image_size=”cover” background_image_repeat=”no-repeat” background_image_position_x=”center” background_image_position_y=”center”][mhc_row admin_label=”row”][mhc_column type=”4_4″][mhc_image admin_label=”\u0635\u0648\u0631\u0629” src=”https:\/\/ainalalam.com\/2022\/wp-content\/uploads\/2021\/11\/ain6.jpg” show_in_lightbox=”off” url_new_window=”off” animation=”off” hoverfx=”scaleup” sticky=”on” image_mask=”off” border_radius=”0″ align=”center” force_center_on_mobile=”on” alt=”\u0645\u0648\u0642\u0639 \u0639\u064a\u0646 \u0627\u0644\u0639\u0627\u0644\u0645 \u0647\u0648 \u0645\u0648\u0642\u0639 \u062a\u0633\u0648\u064a\u0642\u064a \u0648\u0641\u0642 \u0648\u062b\u064a\u0642\u0629 \u0627\u0644\u0639\u0645\u0644 \u0627\u0644\u062d\u0631.”] [\/mhc_image][mhc_search_bar admin_label=”\u0634\u0631\u064a\u0637 \u0628\u062d\u062b” post_type=”all” show_terms=”off” terms_tax=”post_tag” placeholder=”\u0627\u0628\u062d\u062b \u0647\u0646\u0627” icon_color=”#4FD4FF” background_layout=”dark” animation=”bouncein” custom_paddings=”70px”] [\/mhc_search_bar][mhc_ticker admin_label=”\u0634\u0631\u064a\u0637 \u0623\u062e\u0628\u0627\u0631” magazine_list=”date” offset_posts=”0″ ticker_title=”\u062c\u062f\u064a\u062f \u0627\u0644\u062a\u063a\u0637\u064a\u0627\u062a” background_layout=”dark” background=”#6d3a2a” show_thumbnail=”on” show_arrows=”on” auto=”off” fade=”fade” pause=”off”] [\/mhc_ticker][\/mhc_column][\/mhc_row][\/mhc_section][mhc_section admin_label=”\u0642\u0633\u0645” fullwidth=”on” specialty=”off”][mhc_fullwidth_post_header admin_label=”\u0639\u0646\u0648\u0627\u0646 \u0627\u0644\u0645\u0642\u0627\u0644\u0629 \u0628\u0639\u0631\u0636 \u0643\u0627\u0645\u0644” title=”on” meta=”off” avatar=”on” author=”on” date=”on” categories=”on” comments=”off” views=”off” show_ratings=”off” show_excerpt=”off” show_share=”on” text_orientation=”center” text_color=”dark” featured_image=”on” featured_placement=”below” parallax=”off” parallax_method=”off” animation=”bouncein” custom_paddings=”40″ size=”26px” title_bold=”on” text_shadow=”off” text_background=”off” text_bg_color=”#ffffff” overlay=”on” bg_color=”rgba(155,239,225,0.81)”] [\/mhc_fullwidth_post_header][\/mhc_section][mhc_section admin_label=”\u0642\u0633\u0645” fullwidth=”off” specialty=”off”][mhc_row admin_label=”\u0635\u0641”][mhc_column type=”1_3″][mhc_text admin_label=”\u0646\u0635” background_layout=”light” text_orientation=”justified”]\n

\u00a0<\/strong><\/p>\n

Experts and execs from SAS anticipate a year of great promise \u2013 and potential peril \u2013 as generative AI and other technologies reshape financial services<\/p>\n

\u00a0<\/strong><\/p>\n

Ain Alalam – Rashad Iskandrni<\/p>\n

As in other industries, the explosion of\u00a0generative AI<\/strong><\/a>\u00a0has forced the financial services sector to quickly adapt while riding a wave of regulatory and ethical questions. How will banks, insurers and other financial firms balance the risks and rewards of GenAI and other transformative tech in the year ahead? Experts from AI and analytics leader SAS foresee a mix of successes and failures as the industry sprints to meet consumer and stakeholder expectations.<\/p>\n

Bank failures spur a risk management reckoning<\/strong><\/h3>\n

\u201c2024 will bring more bank failures, forcing banks to recognize the most important question in risk management: \u2018What is our own probability of default?\u2019 And they will deploy tools and technologies to answer that existential question. A\u00a0recent survey<\/strong><\/a>\u00a0of risk professionals revealed that 80% of firms are eyeing significant improvements to their asset liability management [ALM] functions. Yet less than a third said their firms have fully automated data sharing between ALM and other risk or business functions. It\u2019s time to change that.\u201d<\/p>\n

\u2013 Donald van Deventer, Managing Director of Risk Research and Quantitative Solutions, SAS<\/em><\/p>\n

GenAI-induced \u2018Dark Age of Fraud\u2019 propels anti-fraud advances<\/strong><\/h3>\n

\u201cEven as consumers\u00a0signal increased fraud vigilance<\/strong><\/a>, generative AI and deepfake technology are\u202fhelping fraudsters hone their multitrillion-dollar craft. Phishing messages are more polished. Imitation websites look stunningly legitimate. A crook can clone a voice with $5 and a few seconds of audio using simple online tools. We are entering the Dark Age of Fraud, where banks and credit unions will scramble to make up for lost time in AI adoption \u2013 incentivized, no doubt, by regulatory shifts forcing financial firms to assume greater liability for soaring APP [authorized push payments] scams and other frauds.\u201d<\/p>\n

\u2013 Stu Bradley, Senior Vice President of Risk, Fraud and Compliance Solutions, SAS<\/em><\/p>\n

Insurers confront climate risk, aided by AI<\/strong><\/h3>\n

\u201cAfter decades of anticipation, climate change has transformed from speculative menace to genuine threat. Global insured losses from natural disasters surpassed $130 billion in 2022, and insurers worldwide are feeling the squeeze. US insurers, for example, are under scrutiny for raising premiums and withdrawing from hard-hit states like California and Florida, leaving tens of millions of consumers in the lurch. To survive this crisis, insurers will increasingly adopt AI to tap the potential of their immense data stores to shore up liquidity and be competitive. Beyond the gains they realize in dynamic premium pricing and risk assessment, AI will help them automate and enhance claims processing, fraud detection, customer service and more.\u201d<\/p>\n

\u2013 Troy Haines, Senior Vice President of Risk Research and Quantitative Solutions, SAS<\/em><\/p>\n

AI transforms financial crimes compliance<\/strong><\/h3>\n

\u201cAI will be a game changer for anti-money laundering [AML] programs, as the global cost of compliance reaches $274 billion, 60% of which is labor. As much as $2 trillion is laundered worldwide annually, according to the United Nations. Only 1% of the criminal proceeds are confiscated, and 95% of alerts are false positives. These are alarming figures! Augmenting current AML systems with machine learning and network analytics would improve transaction monitoring dramatically by reducing false-negative and false-positive rates and sending higher-quality alerts downstream to AML investigators and compliance groups.\u201d<\/p>\n

\u2013 Joan McGowan, Global Banking Industry Advisor, SAS<\/em><\/p>\n

Deliberate AI deployment makes or breaks insurers\u202f<\/strong><\/h3>\n

\u201cIn 2024, one of the top 100 global insurers will go out of business as a consequence of deploying generative AI too quickly. Right now, insurers are rolling out autonomous systems at breakneck speed, with no tailoring to their business models. They\u2019re hoping that using AI to crunch through claims quickly will offset the last few years of poor business results. But after 2023\u2019s layoffs, remaining staff will be spread too thin to enact the necessary oversight to deploy AI ethically and at scale. The myth of AI as a cure-all will trigger tens of thousands of faulty business decisions that will lead to a corporate collapse, which may irreparably damage consumer and regulator trust.\u201d<\/p>\n

\u2013 Franklin Manchester, Global Insurance Strategic Advisor, SAS<\/em><\/p>\n

Central bank digital currencies bring benefits and risks<\/strong><\/h3>\n

\u201cCentral bank digital currencies<\/strong><\/a>\u00a0[CBDCs], like Nigeria\u2019s eNAIRA, are currently being explored by governments in more than 80 countries. In 2024, they\u2019ll become commonplace, offering citizens secure, government-backed digital payments options with the potential to foster greater financial inclusion. But CBDCs will come with unique fraud and financial crime risks, increasing exposure through financial losses and data compromise, account takeover, and exfiltration through mule accounts.\u201d<\/p>\n

\u2013 Ian Holmes, Global Lead for Enterprise Fraud Solutions, SAS<\/em><\/p>\n

Generative AI comes of age<\/strong><\/h3>\n

\u201cThe hype around large language models [LLM] as a panacea will subside, driven by privacy concerns, the potential for legal action and the sheer cost of building and maintaining these architectures. The focus will shift to monetizing LLMs for certain use cases. A select few vendors will provide foundational \u2018conversation models,\u2019 while a larger group will help individual firms tune those for their own purposes.\u201d<\/p>\n

\u2013 Anthony Mancuso, Head of Risk Modeling and Decisioning, SAS<\/em><\/p>\n

AI prevents recession \u2013 for now<\/strong><\/h3>\n

\u201cAdvances in\u00a0artificial intelligence<\/strong><\/a>\u00a0and automation will drive productivity gains. The capital-to-labor ratio will rise, further contributing to increased productivity. This impact will be sufficient for most economies to avoid recession, despite rapidly rising defaults and structural unemployment. The picture will be quite different at a sector level. However, some segments will experience recession-like conditions.\u201d<\/p>\n

\u2013 Stas Melnikov, Head of Risk Portfolio, SAS<\/em><\/p>\n

Risk model recalibration tests firms\u2019 capabilities<\/strong><\/h3>\n

\u201cRemember how the COVID-19 pandemic prompted better banks to quickly rebuild and deploy their risk decisioning models, while others spent months just gathering data? In 2024, looming recession risks and higher default rates will require banks to adapt to more relevant models, lending policies, and forecasts, improving the speed and agility of their IT infrastructures and broader capabilities.\u201d\u2013 Naeem Siddiqi, Senior Advisor for Risk Research and Quantitative Solutions, SAS<\/em><\/p>\n

Conversational AI brings customer experience to new heights<\/strong><\/h3>\n

\u201cChatbots are nothing new in financial services \u2013 but what if you had a chatbot that better mimicked human-to-human interaction? In 2024, the advance of generative AI technology will bring insurers, banks and businesses in other industries closer to that reality. Such advances in conversational AI will play an important role in streamlining client communication. This will help organizations prioritize human assistance for more complex tasks and scenarios, thereby boosting operational efficiency and cost savings.\u201d<\/p>\n

\u2013 Oana Avramescu, Global Insurance Lead for Risk Research and Quantitative Solutions, SAS<\/em><\/p>\n

\u2018Banklessness\u2019 amid the digital banking revolution sparks AI innovation<\/strong><\/h3>\n

\u201cIn 2024, savvy banks will endeavor to create a more inclusive customer experience [CX] by examining who the digital banking revolution has best served \u2013 and who it has left behind. The sharp decline in the number of branches on main streets and in malls has left swathes of accountholders\u00a0\u2018<\/strong>bankless<\/strong><\/a>.\u2019<\/strong>\u00a0Those who lack digital confidence are challenged to interact with their financial providers online. On the other hand, a quarter of UK customers said they\u2019ll never set foot in a bank branch again, according to a late 2021 survey. Forward-thinking financial institutions will weave AI-powered digital engagement into an enriched ecosystem of branches to enhance connection and seamless CX as a competitive differentiator.\u201d<\/p>\n

\u2013 Alex Kwiatkowski, Director of Global Financial Services, SAS<\/em><\/p>\n

AI \u2018explainability\u2019 propels fairness and transparency in insurance decisioning<\/strong><\/h3>\n

\u201cCould AI ignite an ethical recalibration of the insurance sector? In 2024, we’ll find out. Actuarially justified risk decisions can unintentionally further inequities in historically marginalized groups. Insurers\u2019 AI and machine learning adoption, however, will require them to understand how their models and algorithms render decisions (in premium pricing or claims, for example). This AI explainability has the potential to establish new standards of transparency and fairness throughout the industry.\u201d<\/p>\n

\u2013 Alena Tsishchanka, EMEA Insurance Practice Leader, SAS<\/em><\/p>\n[\/mhc_text][\/mhc_column][mhc_column type=”2_3″][mhc_image admin_label=”\u0635\u0648\u0631\u0629” show_in_lightbox=”off” url_new_window=”off” animation=”right” hoverfx=”none” sticky=”off” image_mask=”off” border_radius=”0″ align=”right” force_center_on_mobile=”on” src=”https:\/\/ainalalam.com\/wp-content\/uploads\/2024\/02\/SAS-logo-900×506-2.jpg”] [\/mhc_image][\/mhc_column][\/mhc_row][\/mhc_section]\n","protected":false},"excerpt":{"rendered":"

[mhc_section admin_label=”section” transparent_background=”off” gradient_background=”off” background_color=”#444444″ gradient_style=”horizontal” inner_shadow=”on” parallax=”off” parallax_method=”off” video_hide=”off” video_pause=”off” allow_advanced_padding=”on” remove_padding=”on” force_fullwidth=”off” column_paddings=”padding-0pct” column_match_heights=”off” background_leak=”bottom” background_leak_color=”#ffffff” background_leak_size=”25″ separator_top=”off” separator_bottom=”off” background_image_size=”cover” background_image_repeat=”no-repeat” background_image_position_x=”center” background_image_position_y=”center”][mhc_row admin_label=”row”][mhc_column type=”4_4″][mhc_image admin_label=”\u0635\u0648\u0631\u0629” src=”https:\/\/ainalalam.com\/2022\/wp-content\/uploads\/2021\/11\/ain6.jpg” show_in_lightbox=”off” url_new_window=”off” animation=”off” hoverfx=”scaleup” sticky=”on” image_mask=”off” border_radius=”0″ align=”center” force_center_on_mobile=”on” alt=”\u0645\u0648\u0642\u0639 \u0639\u064a\u0646 \u0627\u0644\u0639\u0627\u0644\u0645 \u0647\u0648 \u0645\u0648\u0642\u0639 \u062a\u0633\u0648\u064a\u0642\u064a \u0648\u0641\u0642 \u0648\u062b\u064a\u0642\u0629 \u0627\u0644\u0639\u0645\u0644 \u0627\u0644\u062d\u0631.”] [\/mhc_image][mhc_search_bar admin_label=”\u0634\u0631\u064a\u0637 \u0628\u062d\u062b” post_type=”all” show_terms=”off” terms_tax=”post_tag” placeholder=”\u0627\u0628\u062d\u062b […]<\/p>\n","protected":false},"author":1,"featured_media":80493,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[49],"tags":[],"class_list":["post-80495","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-coverage"],"_links":{"self":[{"href":"https:\/\/ainalalam.com\/index.php?rest_route=\/wp\/v2\/posts\/80495","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ainalalam.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ainalalam.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ainalalam.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ainalalam.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=80495"}],"version-history":[{"count":0,"href":"https:\/\/ainalalam.com\/index.php?rest_route=\/wp\/v2\/posts\/80495\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ainalalam.com\/index.php?rest_route=\/wp\/v2\/media\/80493"}],"wp:attachment":[{"href":"https:\/\/ainalalam.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=80495"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ainalalam.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=80495"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ainalalam.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=80495"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}