{"id":33297,"date":"2022-08-09T01:51:07","date_gmt":"2022-08-09T01:51:07","guid":{"rendered":"https:\/\/staging.staging.multiplica.com\/?post_type=mx_noticias&amp;p=33297"},"modified":"2022-08-09T01:51:07","modified_gmt":"2022-08-09T01:51:07","slug":"predictive-models-in-the-financial-industry","status":"publish","type":"news_post","link":"https:\/\/staging.multiplica.com\/en\/news\/predictive-models-in-the-financial-industry\/","title":{"rendered":"Predictive models in the financial industry"},"content":{"rendered":"<div class=\"c-display-paragraph font-moderat-l-regular\"><div class=\"o-container\"><div class=\"o-row\"><div class=\"o-col-md-16 o-offset-md-1\"><h2><span style=\"font-weight: 400\">Multiplica talks for OpenFinance on how <\/span><i><span style=\"font-weight: 400\">Machine Learning<\/span><\/i><span style=\"font-weight: 400\"> is revolutionizing the world of finance in terms of customer interaction and knowledge, as well as risk assessment.<\/span><\/h2>\n<p><span style=\"font-weight: 400\">Once again, Multiplica gave a webinar for <\/span><a href=\"https:\/\/www.linkedin.com\/company\/open-finance2020\/\"><span style=\"font-weight: 400\">OpenFinance&#8217;s<\/span><\/a><span style=\"font-weight: 400\"> audience, in which <\/span><a href=\"https:\/\/www.linkedin.com\/in\/jordi-navarro-perez\/\"><span style=\"font-weight: 400\">Jordi Navarro<\/span><\/a><span style=\"font-weight: 400\">, Head of Customer Intelligence, presented an interesting talk on predictive models applied to the financial industry.<\/span><\/p>\n<p><span style=\"font-weight: 400\">According to Gartner, 70% of technology projects in the financial services industry will be employing artificial intelligence by 2024; the use of machine learning will be an increasingly common tool that will optimize processes, allowing to generate better user experiences, and therefore, better business results.<\/span><\/p>\n<h2><span style=\"font-weight: 400\">Machine learning in the financial industry<\/span><\/h2>\n<blockquote><p><i><span style=\"font-weight: 400\">&#8220;Machine learning is a scientific discipline in the field of artificial intelligence that creates systems that learn automatically.&#8221;\u00a0\u00a0<\/span><\/i><\/p><\/blockquote>\n<p><span style=\"font-weight: 400\">According to what we discussed with Jordi, algorithms are classified according to their complexity and the value contribution they have for the business; starting with descriptive analytics, which allows us to understand what has happened before, to later enter into a deeper analysis in which machine learning will enable us to understand in depth three types of analytics:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Diagnostic: It indicates the causes and their weight when we see the consequences and their effects.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Predictive: Indicates probabilities that something may happen.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Prescriptive: It tells us what recommendations can be made based on the user&#8217;s characteristics and preferences.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">All of the above will give us the guideline to reach a final state of deep learning in which, through cognitive analytics, we will be able to identify the true value that a situation or customer has for the business.<\/span><\/p>\n<h2><span style=\"font-weight: 400\">Use cases in the financial sector<\/span><\/h2>\n<p><span style=\"font-weight: 400\">During the talk, the expert pointed out some use cases where we can make use of machine learning in the financial industry:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Personalization: Everything related to improving the customer experience, personalized offers and prices, and product recommendations.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Scoring: Refers to giving a value to understand credit risk issues, probability of default and how much can be foreseen in monetary terms that a customer will represent for the business (Customer LifeTime Value).<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Fraud detection: Helps detect activities such as money laundering, financing of illicit activities and market abuse surveillance.<\/span><\/li>\n<\/ul>\n<h2><span style=\"font-weight: 400\">Conclusions<\/span><\/h2>\n<p><span style=\"font-weight: 400\">According to what was discussed during the talk, the projects that achieve the best results are those that focus on automating repetitive micro-decisions that until now should be undertaken by one person, clearly contribute to revenue generation and demonstrate a clear ROI on Data &amp; Analytics initiatives.<\/span><\/p>\n<p>&nbsp;<\/p>\n<\/div><\/div><\/div><\/div>","protected":false},"author":16,"template":"","tags":[],"class_list":["post-33297","news_post","type-news_post","status-publish","hentry"],"acf":{"post_type_knowledge_image_module_big":32541,"post_type_knowledge_image_module_small":32546,"post_type_knowledge_image_module_header":32551},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Predictive models in the financial industry - Multiplica<\/title>\n<meta name=\"description\" content=\"Multiplica talks about how Machine Learning is revolutionizing the world of finance in terms of customer interaction and knowledge, as well as risk assessment.\" \/>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta 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