{"id":75923,"date":"2025-06-30T16:34:46","date_gmt":"2025-06-30T16:34:46","guid":{"rendered":"https:\/\/smebanking.news\/?post_type=product&amp;p=18725"},"modified":"2025-06-30T16:34:46","modified_gmt":"2025-06-30T16:34:46","slug":"18725-digital-vision-digital-banking-atos-2","status":"publish","type":"product","link":"https:\/\/smebanking.agency\/platform\/report\/18725-digital-vision-digital-banking-atos-2\/","title":{"rendered":"Digital Vision: Digital Banking \u2013 Atos"},"content":{"rendered":"<p><strong>Artificial Intelligence (AI)<\/strong> has the potential to transform every aspect of banking, from how we save, invest, and spend, enabling a smarter, faster, and more customer-friendly banking model.<\/p>\n<p>AI is one of the fastest-evolving technologies in the modern world. Analysts predict that global investments in AI will reach $98 billion by 2023. In the financial services sector, we are witnessing the profound impact that AI and intelligent algorithms have on our lives and work.<\/p>\n<p><strong>First, let\u2019s define what AI means.<\/strong>\u00a0There are many interpretations, but we\u2019ll focus on four main types:<\/p>\n<ul>\n<li>Voice and facial recognition<\/li>\n<li>Speech processing<\/li>\n<li>Machine learning<\/li>\n<li>Deep learning<\/li>\n<\/ul>\n<p>These can be applied in various forms, including chatbots, document analysis, process automation, or predictive analytics.<\/p>\n<h3><strong>Intelligent Automation<\/strong><\/h3>\n<p><strong>Robotic Process Automation (RPA)<\/strong>\u00a0is becoming common, especially in banking. It\u2019s ideal for automating simple, repetitive tasks. AI, on the other hand, can handle more complex tasks that require cognitive or &#8220;intelligent&#8221; processes.<\/p>\n<p>This type of intelligent automation is in high demand. While RPA is great for back-office and accounting tasks, combining it with AI allows automation of customer-facing processes as well.<\/p>\n<h3><strong>Opportunities for AI in Banking<\/strong><\/h3>\n<ul>\n<li><strong>Customer Service<\/strong>: One of the most common uses of AI in banking. Instead of manually processing thousands of emails, AI can interpret messages and generate appropriate responses for customer service agents to review and send with a click.<\/li>\n<li><strong>Sales and Customer Analytics<\/strong>: AI collects and analyzes customer data, providing business development teams with insights, sales funnels, and recommendations for next steps to build relationships and drive sales.<\/li>\n<li><strong>IT Services<\/strong>: AI can detect potential errors in applications and systems, improving the reliability and resilience of IT infrastructure.<\/li>\n<li><strong>Fraud Prevention<\/strong>: AI is increasingly vital for managing fraud by identifying and blocking suspicious payments or claims.<\/li>\n<li><strong>Cybersecurity<\/strong>: As cyber threats grow more complex, AI can be used for predictive analytics to detect attacks before they happen.<\/li>\n<\/ul>\n<h3><strong>AI Enhances, Not Replaces Humans<\/strong><\/h3>\n<p>Despite media narratives suggesting AI will replace humans, that\u2019s not the case. AI is designed to\u00a0<strong>enhance<\/strong>\u00a0human capabilities, not replace them. Human oversight is essential to ensure AI algorithms deliver expected results. AI is still learning and cannot be everything to everyone just yet.<\/p>\n<h3><strong>Improving Customer Experience<\/strong><\/h3>\n<p>Many of AI\u2019s benefits focus on meeting customer needs. For example, when interacting with a company online, AI provides instant, accurate, and specific answers\u2014exactly what modern consumers, especially millennials, expect.<\/p>\n<p>Other advantages include improved accuracy and quality by reducing human error, which boosts customer satisfaction and service quality. And let\u2019s not forget cost savings: by increasing precision and productivity, staff can focus on more valuable tasks.<\/p>\n<h3><strong>Successful AI Implementation<\/strong><\/h3>\n<p>Some banks have fully embraced AI, establishing centers of excellence. Others are still exploring its benefits and figuring out how to accelerate delivery and define its capabilities.<\/p>\n<p>Regardless of AI maturity, here are\u00a0<strong>three key lessons<\/strong>:<\/p>\n<ol>\n<li><strong>Focus on business pain points<\/strong>: Start with a deep understanding of business challenges (e.g., customer service issues) and use AI to solve them, proving its value and gaining support.<\/li>\n<li><strong>Manage expectations<\/strong>: Internally, it\u2019s important to remember that AI is not a replacement for the human brain.<\/li>\n<li><strong>Integrate knowledge<\/strong>: Consolidating information within the organization helps industrialize AI, capitalize on knowledge, and expand its applications.<\/li>\n<\/ol>\n<h3><strong>AI as a Foundation for Future Banking<\/strong><\/h3>\n<p>AI technologies offer banks the chance to fundamentally improve their products and services. Yet, many banks have only made preliminary progress. For many, AI remains experimental due to limited investment, fragmented data, or outdated practices that hinder collaboration between operations and tech teams.<\/p>\n<p>Despite slow progress, banks must adopt AI as a foundation for new value propositions and customer differentiation.<\/p>\n<p>Established banking providers are increasingly competing with new entrants like big tech companies, a trend accelerated by the COVID-19 pandemic. To succeed in a digital future, financial institutions must embrace new technologies and remain resilient to short-term disruptions.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>As artificial intelligence (AI) technologies and intelligent algorithms become more sophisticated, they have the potential to revolutionize traditional banking models and enable a shift toward digital banking that is faster, more flexible, and more customer-centric.<\/p>\n<p>Franck Coisnon, Industry Director at Atos Group, shared insights on how AI is influencing the development of digital banking. In 2021, Atos published a study titled\u00a0<strong>\u201cDigital Vision: Digital Banking.\u201d<\/strong><\/p>\n","protected":false},"featured_media":45361,"template":"","meta":{"pmpro_default_level":"","tdm_status":"","tdm_grid_status":""},"product_brand":[],"product_cat":[2355,2347],"product_tag":[2248],"class_list":["post-75923","product","type-product","status-publish","has-post-thumbnail","product_cat-digital-banking-en","product_cat-study-library","product_tag-atos","pmpro-has-access","first","instock","shipping-taxable","product-type-external"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Digital Vision: Digital Banking \u2013 Atos - SME Banking Platform<\/title>\n<meta name=\"description\" content=\"As AI technologies and intelligent algorithms become more sophisticated, they have the potential to revolutionize traditional banking models and enable a shift toward digital banking that is faster, more flexible, and more customer-centric.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/smebanking.agency\/platform\/report\/18725-digital-vision-digital-banking-atos-2\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Digital Vision: Digital Banking \u2013 Atos - 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