{"id":92518,"date":"2024-10-01T13:56:59","date_gmt":"2024-10-01T13:56:59","guid":{"rendered":"https:\/\/expleo.com\/global\/en\/?post_type=insights&p=92518"},"modified":"2024-10-18T10:44:01","modified_gmt":"2024-10-18T10:44:01","slug":"ai-harness-power-5-second-improvements","status":"publish","type":"insights","link":"https:\/\/expleo.com\/global\/en\/insights\/blog\/ai-harness-power-5-second-improvements\/","title":{"rendered":"Using AI to harness the power of 5-second improvements"},"content":{"rendered":"\t\t
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The hunt is on for the best use case for AI. But instead of looking for a one-size-fits-all AI application, firms should first focus on an incremental approach, taking small steps that add up to massive improvements, says Timoth\u00e9e Raymond, Head of Innovation and Technology at Linedata, a Paris-based company that provides technology solutions and services to the global asset management industry.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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What impact will AI have on financial services? <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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It will disrupt and change the industry at its core. But instead of talking about what it replaces, we should focus on how it will enhance the way we work in the future. The greatest value to the industry right now is not transformative, but the combination of many smaller changes. <\/span>It\u2019s<\/span> what I call the \u2018power of five <\/span>seconds\u2019<\/span>. <\/span>Optimising<\/span> every single interaction and making small improvements within a system adds up to <\/span>a big difference<\/span>.\u00a0<\/span><\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Can you provide examples of these incremental improvements in financial services?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Existing compliance processes typically generate <\/span>a number of<\/span> false positives.<\/span> With a dynamic approach, AI can learn from the past and <\/span>eliminate<\/span> some of these false positives, even without defining its actions as a rule. Another example is speeding up internal processes. Some problems can be solved by an analyst, but sometimes you need an experienced senior accountant. An AI that can route questionable issues to the most <\/span>appropriate team<\/span> member is hugely beneficial. Of course, humans could do this in seconds or minutes. But having an AI that continuously improves the microscopic efficiency of the operation will <\/span>ultimately change<\/span> the way banks <\/span>operate<\/span> and <\/span>organise<\/span> themselves. AI will not solve every single problem, but it is part of <\/span>a bigger<\/span> picture<\/span>.<\/span><\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\u201cAI will disrupt and change the industry at its core.\u201d<\/span><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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How should BFSI organisations take their AI journey to the next level? Alone or in partnership with specialists? <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tI suggest a hybrid approach. BFSI organisations need to develop their own vision of how AI can be used and for what purposes. However, when it comes to technical implementation, it would be a mistake to do everything in-house. Financial organisations tend to be very protective. But in the case of AI, that is not effective. In fact, the success of AI depends on greater openness and data sharing. Change is inevitable and the industry cannot afford to be too defensive. Financial service companies should be the driving force in determining how AI will impact the industry, not external players. \t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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How will software testing change as AI advances? <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Testing has changed <\/span>very little<\/span> over the last 20 years. But traditional testing methods are not suited to the complexity of today\u2019s systems. Adding more people is not the answer and has never solved a problem <\/span>in the long run<\/span>. If we want to improve operations, we need to rethink the way we test. Implementing an AI-based self-learning system is an excellent option. In rule-based systems \u2013 be it compliance or testing \u2013 we work with predictions of what can go wrong. The problem is that, by definition, most of the time things <\/span>don\u2019t<\/span> go wrong the way you thought they <\/span>would. A system\u2019s ability to be more creative or explore ideas that might seem irrational to humans adds significant value. The ability to be dynamic in such a challenging environment is something where AI outperforms humans.\u00a0<\/span><\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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How important is AI for Linedata? <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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It\u2019s<\/span> very important<\/span> and one of the strategic pillars of our five<\/span>–<\/span>year plan. We are looking at AI from two perspectives: One is to help our customers deal with technological advances and potential disruptions. And for that, we strongly believe in the five-second improvement, which is why we are committed to building AI into every <\/span>single product<\/span> we have within the next 12 months. The other aspect is inward looking: how we are changing as a company and how we can improve as a solution provider. Our developers are using copilot systems and other technologies to deal with their code. We are also training people with AI and changing the way we look at technical management of people or testing of applications.<\/span><\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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“The success of AI depends on greater openness and data sharing. Change is inevitable and the industry cannot afford to be too defensive.\u201d<\/span><\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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This interview was taken from our recent report <\/span><\/span>How AI is shaping the future of financial services<\/span>. <\/span><\/span>\u00a0\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tRead the full report here<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

The hunt is on for the best use case for AI. But instead of looking for a one-size-fits-all AI application, firms should first focus on an incremental approach, taking small steps that add up to massive improvements, says Timoth\u00e9e Raymond, Head of Innovation and Technology at Linedata, a Paris-based company that provides technology solutions and […]<\/p>\n","protected":false},"author":81,"featured_media":92520,"parent":0,"template":"","meta":{"_oasis_is_in_workflow":0,"_oasis_original":0,"_oasis_task_priority":"","_angie_page":false,"footnotes":""},"topic":[164,144,145],"insights-single-templates":[],"industry-taxonomy":[38],"content-type":[23],"country":[141],"service":[216,361,358,362,51,83],"class_list":["post-92518","insights","type-insights","status-publish","has-post-thumbnail","hentry","topic-artificial-intelligence-and-robotics","topic-business-transformation","topic-digital-transformation","industry-taxonomy-banking-and-financial-services","content-type-blog","country-global","service-digital-transformation","service-ai-powered-cx","service-ai-powered-software-quality","service-ai-powered-visual-inspection","service-people-and-change-management","service-transformation-consultancy"],"yoast_head":"\nExpleo | AI to harness the power of 5-second improvements<\/title>\n<meta name=\"description\" content=\"The future of work is enhanced by AI. 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