{"id":437,"date":"2018-03-12T08:00:58","date_gmt":"2018-03-12T07:00:58","guid":{"rendered":"http:\/\/akquinet-security-en.blog\/?p=437"},"modified":"2020-07-07T14:58:05","modified_gmt":"2020-07-07T12:58:05","slug":"it-trends-explained-easily-machine-learning","status":"publish","type":"post","link":"https:\/\/sast-solutions.com\/blog-en\/2018\/03\/12\/it-trends-explained-easily-machine-learning\/","title":{"rendered":"IT Trends explained easily: Machine Learning"},"content":{"rendered":"<p><span style=\"color: #616262;\"><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-434 alignleft\" src=\"https:\/\/sast-blog.akquinet.com\/wp-content\/uploads\/2018\/03\/sast-blog_it-trends.jpg\" alt=\"SAST-Blog_IT-Trends\" width=\"300\" height=\"200\" srcset=\"https:\/\/sast-solutions.com\/blog-en\/wp-content\/uploads\/2018\/03\/sast-blog_it-trends.jpg 640w, https:\/\/sast-solutions.com\/blog-en\/wp-content\/uploads\/2018\/03\/sast-blog_it-trends-300x200.jpg 300w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/>Machine learning, Internet of Things and Blockchain are some of the new concepts that SAP Leonardo is bringing to the SAP ecosystem to reduce TCO, optimize business processes, and add more value to companies. If these terms are unknown territory for you, our new blog series &#8220;IT trends explained easily&#8221; is just right for you.<\/span><\/p>\n<p><span style=\"color: #616262;\">Our first article is about Machine Learning algorithms and how they can be applied.<\/span><\/p>\n<p><!--more--><span style=\"color: #616262;\">What is Machine Learning about? It is the field of research that investigates the development of intelligent algorithms that are capable of learning and making predictions based on data \u2013 even if they are not explicitly programmed to do so. The user has to provide a set of training data to \u2018teach\u2019 the algorithm how to behave: this step is crucial, because if we don\u2019t provide data of the right quality, the algorithm will deliver the wrong results.<\/span><\/p>\n<p><span style=\"color: #616262;\">As an example, let\u2019s consider the following task: sorting garbage into paper, plastic, glass, etc. With a standard algorithm, we have to specify a list of items and assign them to the corresponding bin. Magazines, newspapers, and sheets of paper belong in the paper bin, for example. But what happens when the algorithm has to sort an envelope?<\/span><\/p>\n<p><span style=\"color: #616262;\">Machine learning algorithms don\u2019t need an explicit list covering all the items to be sorted (as this list may be impossible to specify), but enough examples to let the algorithm learn the task logic.<\/span><\/p>\n<p><span style=\"color: #616262;\">When the algorithm has to sort a given item, it calculates where it should go based on this training data. Although the algorithm has never seen an envelope, the envelope is very similar to the sheets of paper. This is why it\u2019s called Machine Learning: the algorithm can learn from experience and can make decisions about new situations based on its encounters with ones that are similar enough.<\/span><\/p>\n<p><span style=\"color: #616262;\">We end up with unexpected results, if the training set is not extensive enough, not enough varied or the data is ambiguous. So the algorithm cannot arrive at a satisfactory conclusion. Therefore, this kind of algorithms is also called probabilistic and that the results should be double-checked at least in the beginning to improve result quality.<\/span><\/p>\n<p><span style=\"color: #616262;\">There are also \u201cunsupervised\u201d algorithms, that work without needing a training set. However, these algorithms don\u2019t belong explicitly to Machine Learning, but use a number of concepts that include data mining, big data, or statistical methods.<\/span><\/p>\n<p><span style=\"color: #616262;\">So what we now want to know is: How to benefit from this approach? Unfortunately, there is no ready-made solution here, because there are many different machine-learning algorithms.<\/span><\/p>\n<p><span style=\"color: #616262;\">It\u2019s important to consider the following aspects before starting a project:<\/span><br \/>\n<span style=\"color: #616262;\">1.\u00a0\u00a0\u00a0\u00a0 Understand the problem that we are facing.<\/span><br \/>\n<span style=\"color: #616262;\">2.\u00a0\u00a0\u00a0\u00a0 Understand how a machine learning algorithm can help to solve the problem and its limitations.<\/span><br \/>\n<span style=\"color: #616262;\">3.\u00a0\u00a0\u00a0\u00a0 Evaluate the quality of the available data (i.e. is the training data extensive enough and representative).<\/span><br \/>\n<span style=\"color: #616262;\">4.\u00a0\u00a0\u00a0\u00a0 Decide if the implementation of a Machine Learning algorithm is worth the effort.<\/span><\/p>\n<p><span style=\"color: #616262;\">If you are thinking about implementing such techniques or you just want to know more about machine learning, feel free to contact us:<\/span> <a href=\"mailto:knowhow@akquinet.de\">knowho<\/a><a href=\"mailto:knowhow@akquinet.de\">w@akquinet.de<\/a><\/p>\n<h6><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-435 alignnone\" src=\"https:\/\/sast-blog.akquinet.com\/wp-content\/uploads\/2018\/03\/danielmonteros.jpg\" alt=\"Monteros, Daniel\" width=\"112\" height=\"112\" srcset=\"https:\/\/sast-solutions.com\/blog-en\/wp-content\/uploads\/2018\/03\/danielmonteros.jpg 600w, https:\/\/sast-solutions.com\/blog-en\/wp-content\/uploads\/2018\/03\/danielmonteros-150x150.jpg 150w, https:\/\/sast-solutions.com\/blog-en\/wp-content\/uploads\/2018\/03\/danielmonteros-300x300.jpg 300w\" sizes=\"auto, (max-width: 112px) 100vw, 112px\" \/>\u00a0<img loading=\"lazy\" decoding=\"async\" class=\"wp-image-624\" src=\"https:\/\/sast-blog.akquinet.com\/wp-content\/uploads\/2018\/08\/ljorge.jpg\" alt=\"Jorge, Lin\" width=\"112\" height=\"112\" srcset=\"https:\/\/sast-solutions.com\/blog-en\/wp-content\/uploads\/2018\/08\/ljorge.jpg 600w, https:\/\/sast-solutions.com\/blog-en\/wp-content\/uploads\/2018\/08\/ljorge-150x150.jpg 150w, https:\/\/sast-solutions.com\/blog-en\/wp-content\/uploads\/2018\/08\/ljorge-300x300.jpg 300w\" sizes=\"auto, (max-width: 112px) 100vw, 112px\" \/><\/h6>\n<h6><span style=\"color: #616262;\">Daniel Monteros and Jorge Lin<\/span><br \/>\n<span style=\"color: #616262;\">Special Developments SAST SOLUTIONS by AKQUINET<\/span><\/h6>\n","protected":false},"excerpt":{"rendered":"<p>Machine learning, Internet of Things and Blockchain are some of the new concepts that SAP Leonardo is bringing to the SAP ecosystem to reduce TCO, optimize business processes, and add more value to companies. If these terms are unknown territory for you, our new blog series &#8220;IT trends explained easily&#8221; is just right for you.<br \/>\nOur first article is about Machine Learning algorithms and how they can be applied.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[80],"class_list":["post-437","post","type-post","status-publish","format-standard","hentry","category-general","tag-sap-security"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>IT Trends explained easily: Machine Learning<\/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:\/\/sast-solutions.com\/blog-en\/2018\/03\/12\/it-trends-explained-easily-machine-learning\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"IT Trends explained easily: Machine Learning\" \/>\n<meta property=\"og:description\" content=\"Machine learning, Internet of Things and Blockchain are some of the new concepts that SAP Leonardo is bringing to the SAP ecosystem to reduce TCO, optimize business processes, and add more value to companies. 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