{"id":22902,"date":"2019-07-09T08:30:55","date_gmt":"2019-07-09T15:30:55","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=22902"},"modified":"2019-07-10T08:49:02","modified_gmt":"2019-07-10T15:49:02","slug":"algorithms-not-evil-helpful","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2019\/07\/09\/algorithms-not-evil-helpful\/","title":{"rendered":"Algorithms: Not Evil, Helpful"},"content":{"rendered":"\n<p>Whether or not you have an analytics background, in this digital age algorithms are everywhere \u2026 in how ambulances determine their route to the hospital, in elections \u2026 you name it.<\/p>\n\n\n\n<p><a href=\"http:\/\/www.informs.org\/\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"INFORMS (opens in a new tab)\">INFORMS<\/a> member Gah-Yi  Ban of the London Business School breaks down what algorithms are and how they are useful in a unique talk at a TEDx event. She compares algorithms to evil beings and says it\u2019s a common misconception. Ban helps people understand the role of algorithms in our present lives and how we can shape their role in our future.<\/p>\n\n\n\n<p>Her  research is in Big Data analytics; in particular algorithmic decision-making with complex, high-dimensional and highly uncertain data. Ban has published some of the most-read papers in her field, which are widely recognized for leading the integration of decision analytics  with machine learning.<\/p>\n\n\n\n<p>Feel free to listen to her talk titled, \u201cThe power and perils of algorithms,\u201d in full.<\/p>\n\n\n\n<figure class=\"wp-block-embed-youtube wp-block-embed is-type-video is-provider-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\"  id=\"_ytid_66477\"  width=\"480\" height=\"270\"  data-origwidth=\"480\" data-origheight=\"270\" src=\"https:\/\/www.youtube.com\/embed\/XYCq3K_XxZY?enablejsapi=1&#038;autoplay=0&#038;cc_load_policy=0&#038;cc_lang_pref=&#038;iv_load_policy=1&#038;loop=0&#038;modestbranding=0&#038;rel=1&#038;fs=1&#038;playsinline=0&#038;autohide=2&#038;theme=dark&#038;color=red&#038;controls=1&#038;\" class=\"__youtube_prefs__  epyt-is-override  no-lazyload\" title=\"YouTube player\"  allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen data-no-lazy=\"1\" data-skipgform_ajax_framebjll=\"\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<p><em>Sign up for the free insideBIGDATA&nbsp;<a href=\"http:\/\/insidebigdata.com\/newsletter\/\" target=\"_blank\" rel=\"noreferrer noopener\">newsletter<\/a>.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>INFORMS member Gah-Yi Ban of the London Business School breaks down what algorithms are and how they are useful in a unique talk at a TEDx event. She compares algorithms to evil beings and says it\u2019s a common misconception. Ban helps people understand the role of algorithms in our present lives and how we can shape their role in our future.<\/p>\n","protected":false},"author":10513,"featured_media":22648,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[526,65,115,87,180,67,56,1,85],"tags":[767,357,277,96],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Algorithms: Not Evil, Helpful - insideBIGDATA<\/title>\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\/2019\/07\/09\/algorithms-not-evil-helpful\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Algorithms: Not Evil, Helpful - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"INFORMS member Gah-Yi Ban of the London Business School breaks down what algorithms are and how they are useful in a unique talk at a TEDx event. She compares algorithms to evil beings and says it\u2019s a common misconception. 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The data was collected March 8, through March 26, 2018 from a wide cross section of industries. The goal was to investigate various issues around the current and future\u2026","rel":"","context":"In &quot;Featured&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2018\/04\/DellEMC_survey_fig.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":1858,"url":"https:\/\/insidebigdata.com\/2012\/09\/02\/lecture-on-twitter-and-big-data-analytics\/","url_meta":{"origin":22902,"position":1},"title":"Lecture on Twitter and Big Data Analytics","date":"September 2, 2012","format":false,"excerpt":"httpv:\/\/www.youtube.com\/watch?v=CA-InkV0CTM In this lecture from UC Berkeley, Marti Hearst discusses Twitter and Big Data Analytics. How to store, process, analyze and make sense of Big Data is of increasing interest and importance to technology companies, a wide range of industries, and academic institutions. In this course, UC Berkeley professors and\u2026","rel":"","context":"In &quot;Machine Learning&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":5902,"url":"https:\/\/insidebigdata.com\/2013\/11\/14\/h20-open-source-memory-machine-learning-app-big-data\/","url_meta":{"origin":22902,"position":2},"title":"H20: An Open Source, In-memory Machine Learning App for Big Data","date":"November 14, 2013","format":false,"excerpt":"\"We developed H2O to unlock the predictive power of big data through better algorithms,\" said SriSatish Ambati, CEO and co-founder of 0xdata. \"H2O is simple, extensible and easy to use and deploy from R, Excel and Hadoop.\"","rel":"","context":"In &quot;Analytics&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2013\/11\/oxdata.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":27258,"url":"https:\/\/insidebigdata.com\/2021\/10\/01\/why-dynamic-algorithms-still-havent-replaced-human-rules\/","url_meta":{"origin":22902,"position":3},"title":"Why Dynamic Algorithms Still Haven\u2019t Replaced Human Rules","date":"October 1, 2021","format":false,"excerpt":"In this contributed article, editorial consultant Jelani Harper discusses how there are certainly numerous use cases enriched by dynamic algorithms, such as fraud detection. 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