{"id":70518,"date":"2025-02-05T13:51:38","date_gmt":"2025-02-05T11:51:38","guid":{"rendered":"https:\/\/gulftech-news.com\/en\/?p=70518"},"modified":"2025-02-05T13:51:39","modified_gmt":"2025-02-05T11:51:39","slug":"bankers-dozen-13-finserv-forecasts-for-2025","status":"publish","type":"post","link":"https:\/\/gulftech-news.com\/en\/2025\/02\/05\/bankers-dozen-13-finserv-forecasts-for-2025\/","title":{"rendered":"Banker\u2019s dozen: 13 finserv forecasts for 2025"},"content":{"rendered":"\n

SAS experts foresee AI acceleration bringing big developments in fraud, risk management, customer experience and more<\/strong><\/mark><\/p>\n\n\n\n

In the face of continued economic headwinds, regulatory uncertainty and accelerating tech advancement, what does 2025 have in store for the banking sector? Tune in to the live webinar 2025 Trends in Global Banking<\/em><\/strong><\/a>, where a panel of industry experts from SAS, Chartis and Unconventional Ventures explored  the trends that will shape banking in 2025 and beyond.<\/p>\n\n\n\n

Where does AI fit in? Prominently. A recent report on the use of generative AI in banking<\/strong><\/a> showed large numbers of banks realizing significant benefits from GenAI in employee experience, risk and compliance, and time and cost savings.<\/p>\n\n\n\n

But why wait until 2025 for a peek at the future? Right here, SAS execs and experts offer 13 predictions \u2013 a “banker\u2019s dozen,” if you will \u2013 about trends and changes the year ahead may bring in AI, data management, ESG, retail media and more.<\/p>\n\n\n\n

Digital fraud goes mainstream amid its industrialization<\/strong><\/p>\n\n\n\n

\u201cThe Digital Industrial Age of Fraud has dawned, fueled by a perfect storm of social, economic and technological factors that have made fraud more common \u2013 and easier to commit \u2013 than ever. In one recent survey, 42% of Zoomers admitted to disputing legitimate transactions.<\/p>\n\n\n\n

At the same time, fraud as a service has come to the fore, buoyed by the prevalence of inexpensive, readily accessible GenAI tools to automate phishing attacks and other digital schemes. The barrier to entry to criminal activity has never been lower. Banking leaders must evolve their thinking and adapt quickly to meet\u00a0consumers\u2019 expectations for fraud protection<\/strong><\/a>\u00a0\u2013 the sooner the better.\u201d\u00a0<\/p>\n\n\n\n

    –    Thomas French, Senior Financial Industry Consultant for Fraud, SAS
 <\/em><\/p>\n\n\n\n

Industry struggles to balance demand for AI\u2019s power with the energy it requires to run<\/strong><\/p>\n\n\n\n

\u201cAs industry clamors for AI to drive greater speed, automation and productivity, AI demands GPUs to satisfy the higher levels of processing. Banks and other businesses face the paradox of consuming more energy while facing pressure to enhance their own environmental sustainability and promote ESG measures. The sustainability-related disclosures mandated by IFRS S1 and S2 will only increase scrutiny of energy consumption as a major contributor to global warming.<\/p>\n\n\n\n

\u201cQuantum computing will likely be the next big demand on resources. But without the emergence of a sustainable source of energy to power all that computing, will industry be forced to forgo innovation to meet environmental restrictions and maintain consumer confidence?\u201d<\/p>\n\n\n\n

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

Need to make a deposit? The robot can help you.<\/strong><\/p>\n\n\n\n

\u201cWatch for robot assistants to begin replacing branch staff and customer service desks. Less sophisticated versions of these have been used by Japanese retailers for many years now, answering simple queries like \u2018where can I find No. 3 screwdrivers?\u2019 The AI-driven smarter assistants used in banking will be able to converse with customers much like chatbots, and they\u2019ll provide better guidance than an ATM. This could prove a boon to banks and their customers alike, but these advances will necessitate a higher level of governance and control at financial institutions.\u201d<\/p>\n\n\n\n

    –    Naeem Siddiqi, Senior Risk Advisor, SAS
 <\/em><\/p>\n\n\n\n

AI and cloud acceleration trigger a Great IT Rationalization<\/strong><\/p>\n\n\n\n

\u201cBusinesses have long run on siloed systems, each serving a different function or customer segment. IT teams are buckling under the weight of cumbersome integrations, unable to provide the agility their enterprises need.\u00a0<\/p>\n\n\n\n

A Great IT Rationalization is on the horizon, where business leaders will use the cloud to simplify their IT infrastructures and vendor relationships, gain critical speed and cut costs. Those who modernize on an\u00a0AI platform<\/strong><\/a>\u00a0<\/strong>that drives multiple functions will derive the greatest value. They can achieve integrated, democratized data and decisioning that spans the customer life cycle and the enterprise at large.\u201d<\/p>\n\n\n\n

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

AI regulation is about to get (more) complicated<\/p>\n\n\n\n

\u201cVarious US states and municipalities will pass their own AI statutes, adding complexity to an already complex regulatory landscape. Companies doing business in multiple states will need to navigate a menagerie of disconnected AI statutes. Obstacles created by unaligned policies will be more pronounced for those operating globally.<\/p>\n\n\n\n

\u201cAs lawmakers attempt to designate the scope of AI regulation, varying definitions of what constitutes AI will emerge. Some of these definitions will include algorithms and analytics that have been used for years, intensifying pressure to ensure compliance. Organizations will scramble to identify deployments that meet the new definitions of AI, and to quickly establish governance.\u201d<\/p>\n\n\n\n

    –    Jason DiNovi, Senior Industry Consultant, SAS
 <\/em><\/p>\n\n\n\n

Banks cash in on all that data \u2013 or get buried under it<\/strong><\/p>\n\n\n\n

\u201cBig data has the potential to become the next big oil \u2013 or the next big debacle \u2013 for global banking. The explosive growth of data, driven ever higher by accelerating AI implementations, presents both opportunities and challenges. <\/p>\n\n\n\n

Whether their vast stores of structured and unstructured data become an asset or a liability depends largely on banks’ ability to effectively evolve and implement their data framework and governance processes. Working toward deployment of a unified\u00a0decisioning platform<\/strong><\/a>\u00a0can help banks dismantle data silos and gain cross-functional insights that drive strategy and transformation.\u201d<\/p>\n\n\n\n

    –    Julie Muckleroy, Global Banking Strategic Advisor, SAS
 <\/em><\/p>\n\n\n\n

Banks face stricter risk management oversight<\/strong><\/p>\n\n\n\n

\u201cUS bank regulators will substantially toughen both analytical requirements and supervision for interest rate risk in the wake of the analytical missteps that took down several banks in recent years. For example, Silicon Valley Bank was highly esteemed and in compliance with all regulatory capital rules, but it still failed \u2013 the first of five US bank collapses that made 2023 the biggest year ever for bank failures, all triggered by unchecked liquidity risk due to rising interest rates. <\/p>\n\n\n\n

Expect regulators to demand investment in more sophisticated\u00a0risk management solutions<\/strong><\/a>\u00a0and human capital.\u201d\u00a0<\/p>\n\n\n\n

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

AML innovators pump the brakes on AI<\/strong><\/p>\n\n\n\n

\u201cAnti-money laundering practitioners will cautiously evolve their responsible innovation<\/strong><\/a> practices due to lack of regulatory clarity on effectiveness. Many innovative firms will apply machine learning methods to tune and optimize incumbent monitoring strategies rather than incur the model governance overhead of pure AI-based detection strategies.\u201d <\/p>\n\n\n\n

    –    David Stewart, Director of Financial Crimes and Compliance, SAS
 <\/em><\/p>\n\n\n\n

AI gains momentum in risk and compliance<\/strong><\/p>\n\n\n\n

\u201cAI\u2019s overhyped reputation as a silver bullet to automate any task will come down to earth as banks start to see where AI can and cannot enhance operations. In particular, financial firms, with appropriate human-in-the-loop oversight, will establish AI as an indispensable risk management tool. They\u2019ll also put greater focus on implementing effective AI governance frameworks as AI pilots move to production.<\/p>\n\n\n\n

\u201cFurther, with a skyrocketing number of models under development and in production, model risk management will come into sharper focus. Financial services leaders are seeing convergence between data governance, model development and deployment, and model governance \u2013 and with multiple touch points along this value chain, the lines between model governance and the model life cycle are blurring. Firms will seek ways to improve efficiency and automation in model validation, model documentation and model monitoring.\u201d<\/p>\n\n\n\n

    –    Terisa Roberts, Global Lead for Risk Modeling and Decisioning, SAS
 <\/em><\/p>\n\n\n\n

Even as the planet warms, banks cool on environmental, social and governance (ESG)<\/p>\n\n\n\n

\u201cBanks\u2019 interest and investment in ESG initiatives will wane as they struggle to show concrete value. Declining investor enthusiasm and \u2018greenwashing\u2019 concerns will also diminish its relevance in financial markets. Without clear financial benefits, banks will view ESG as a cost burden rather than a revenue driver, and it will be primarily regarded as a reputational safeguard, not a strategic priority for growth \u2013 unless and until it\u2019s mandated by regulation or demanded by consumers.\u201d<\/p>\n\n\n\n

    –    Stephen Greer, Banking Industry Consultant, SAS
 <\/em><\/p>\n\n\n\n

Liveness checks rise in prevalence to combat deepfakes<\/strong><\/p>\n\n\n\n

\u201cGenerative AI is both a curse and a blessing, used by both the fraudster and the fraud fighter. As fraudsters use GenAI to create voice and video deepfakes that are increasingly difficult to detect,\u00a0liveness tests will become more commonplace as part of banks\u2019 multifactor digital identity authentication processes. <\/p>\n\n\n\n

This technology assesses a biometric sample to distinguish a live person from a potential fake representation, such as from a photo, video or mask. While forms of liveness detection have existed for decades, 2025 will see fraud fighters embrace next-gen liveness testing among the latest\u00a0anti-fraud technology trends<\/strong><\/a>.\u201d<\/p>\n\n\n\n

    –    Dan Barta, Principal Industry Consultant for Enterprise Fraud and Risk Strategy, SAS
 <\/em><\/p>\n\n\n\n

Retail media drives personalized consumer offers \u2013 and revenue<\/p>\n\n\n\n

\u201cIn 2025, consumer banks will make a significant move into retail media<\/strong><\/a>, following models set by Chase, Revolut and PayPal. By incorporating personalized third-party offers using their high-quality, first-party data, financial firms will be able to offer tailored promotions that blend with in-house offers and services. This will not only deepen customer engagement but also create new revenue streams and position banks as important players in the evolving retail media landscape.\u201d<\/p>\n\n\n\n

    –    Cornelia Reitinger, Head of Advertising Business Development, SAS
 <\/em><\/p>\n\n\n\n

Banks confront ongoing market volatility with increased risk management investment<\/p>\n\n\n\n

\u201cMarket volatility is here to stay in 2025. Banks will respond with continued risk management investment, taking advantage of cloud and AI advances or simply modernizing their current risk systems. <\/p>\n\n\n\n

Asset and liability management capabilities will be a particular focus given ongoing interest rate risk and\u00a0liquidity risk<\/strong><\/a>, which can shift quickly. Faster-evolving conditions require more timely risk analysis to quickly anticipate impacts and correlations between risk types and financial measures. They also demand greater integration capabilities to achieve a more holistic view of risks across the balance sheet.\u201d<\/p>\n\n\n\n

    –    Martim Rocha, Global Head of Risk Banking Solutions, SAS
 <\/em><\/p>\n\n\n\n

Get even more AI predictions<\/strong><\/p>\n\n\n\n

There\u2019s no doubt: 2025 will be a big year for AI in banking. But AI\u2019s impact won\u2019t stop there. For forecasts on trends in insurance, marketing, government and ethical AI, visit SAS\u2019 technology and AI 2025 predictions<\/strong><\/a> hub. While you\u2019re there, take a quick quiz to see whether you\u2019re an AI optimist, pessimist or realist.<\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

SAS experts foresee AI acceleration bringing big developments in fraud, risk management, customer experience and more In the face of continued economic headwinds, regulatory uncertainty and accelerating tech advancement, what does 2025 have in store for the banking sector? 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