{"id":19767,"date":"2018-01-17T08:27:03","date_gmt":"2018-01-17T16:27:03","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=19767"},"modified":"2018-01-17T08:27:03","modified_gmt":"2018-01-17T16:27:03","slug":"machine-learning-in-finance","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2018\/01\/17\/machine-learning-in-finance\/","title":{"rendered":"Machine Learning in Finance: Challenges, Successes &#038; Opportunities"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">AI or machine learning is changing the way industries across the spectrum interact with their customers, as well as develop their processes. And nowhere is this more evident than in the financial services business. Machine learning in finance is pushing the industry to the edge of technological advancement.<\/span><\/p>\n<div id=\"attachment_19600\" style=\"width: 243px\" class=\"wp-caption alignleft\"><a href=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2017\/12\/DellWPCover_FSI.jpg\"><img aria-describedby=\"caption-attachment-19600\" decoding=\"async\" loading=\"lazy\" class=\"size-full wp-image-19600\" src=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2017\/12\/DellWPCover_FSI.jpg\" alt=\"machine learning in finance\" width=\"233\" height=\"300\" srcset=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2017\/12\/DellWPCover_FSI.jpg 233w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2017\/12\/DellWPCover_FSI-117x150.jpg 117w\" sizes=\"(max-width: 233px) 100vw, 233px\" \/><\/a><p id=\"caption-attachment-19600\" class=\"wp-caption-text\">Download the <a href=\"https:\/\/insidebigdata.com\/white-paper\/financial-services-machine-learning\/\" target=\"_blank\" rel=\"noopener\">full report.<\/a><\/p><\/div>\n<p><span style=\"font-weight: 400;\">A new <a href=\"https:\/\/insidebigdata.com\/white-paper\/financial-services-machine-learning\/\" target=\"_blank\" rel=\"noopener\">insideHPC special report<\/a>, sponsored by Dell EMC and NVIDIA, explores the benefits, challenges and considerations involved with adopting machine learning in finance. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">The guide delves into recent key machine learning innovations in financial services to give readers examples of how the technology is being used today, what\u2019s needed to leverage machine learning, what applications and technologies to use and more. It also offers ways to learn from recent successes in the field, as well as ways to connect with the broader machine learning community.<\/span><\/p>\n<p>[clickToTweet tweet=&#8221;As financial institutions look to machine learning, they should first acknowledge the benefits, and challenges. &#8221; quote=&#8221;As financial institutions look to machine learning, they should first acknowledge the benefits, and challenges. &#8220;]<\/p>\n<p><span style=\"font-weight: 400;\">First up, when considering machine learning in finance solutions, one should start with reviewing the challenges involved to make sure to consider all options and scenarios. According to the guide, challenges include regulation and compliance, cybersecurity and fraud detection, risk management \u2014 and, of course, competition. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Next up, the report explores some of the technology behind machine learning in finance. Of all of the technological innovations that have made machine learning possible, GPUs have perhaps had the most impact. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Of course, after learning about the technology behind machine learning, a company needs to decide which solution is right for them. The special report goes into detail on some of these solutions, such as the Dell EMC PowerEdge C4140 server and NVIDIA Volta. Frameworks, such as Caffe, Tensorflow, Torch, Microsoft Cognitive Toolkit (CNTK), and Apache Mahout \u2014 used to support machine learning applications \u2014 are also explored.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">After absorbing all this information, the guide offers case studies, information on professional organizations and further reading on machine learning. Research centers described in this guide include the\u00a0<\/span><span class=\"s1\">Dell EMC Customer Solution Center,\u00a0<\/span><span class=\"s1\">Dell EMC Machine Learning Knowledge Center and the\u00a0<\/span><span class=\"s1\">NVIDIA Deep Learning Institute.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The guide is ideal for those in the financial services industry who are beginning to explore the potential of machine learning, as well as those looking to expand and maximize its use. <\/span><\/p>\n<p><i><span style=\"font-weight: 400;\">Download the full report, <a href=\"https:\/\/insidebigdata.com\/white-paper\/financial-services-machine-learning\/\" target=\"_blank\" rel=\"noopener\">&#8220;Advancing the Financial Services Industry Through Machine Learning,&#8221;<\/a> courtesy of Dell EMC and NVIDIA, to learn more about the ins and outs of machine learning in finance. <\/span><\/i><\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI or machine learning is changing the way industries across the spectrum interact with their customers, as well as develop their processes. And nowhere is this more evident than in the financial business. Download a new insideHPC special report that explores the benefits, challenges and considerations involved with adopting machine learning in finance.<\/p>\n","protected":false},"author":10516,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[269,72,180,59,67,84,58],"tags":[547,440,638,277,263],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Machine Learning in Finance: Challenges, Successes &amp; Opportunities<\/title>\n<meta name=\"description\" content=\"A new insideHPC special report explores the benefits, challenges and considerations involved with adopting machine learning in finance.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/insidebigdata.com\/2018\/01\/17\/machine-learning-in-finance\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Machine Learning in Finance: Challenges, Successes &amp; 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