{"id":1243,"date":"2018-11-01T06:35:04","date_gmt":"2018-11-01T06:35:04","guid":{"rendered":"https:\/\/www.aiproblog.com\/index.php\/2018\/11\/01\/new-book-enterprise-ai-an-applications-perspective\/"},"modified":"2018-11-01T06:35:04","modified_gmt":"2018-11-01T06:35:04","slug":"new-book-enterprise-ai-an-applications-perspective","status":"publish","type":"post","link":"https:\/\/www.aiproblog.com\/index.php\/2018\/11\/01\/new-book-enterprise-ai-an-applications-perspective\/","title":{"rendered":"New Book: Enterprise AI &#8211; An Applications Perspective"},"content":{"rendered":"<p>Author: Vincent Granville<\/p>\n<div>\n<p>Now published. Enterprise AI: An applications perspective takes a use case driven approach to understand the deployment of AI in the Enterprise. Designed for strategists and developers, the book provides a practical and straightforward roadmap based on application use cases for AI in Enterprises. The authors (Ajit Jaokar and Cheuk Ting Ho) are data scientists and AI researchers who have deployed AI applications for Enterprise domains. The book is used as a reference for Ajit and Cheuk&#8217;s new course on Implementing Enterprise AI.<\/p>\n<\/p>\n<p><a href=\"https:\/\/api.ning.com\/files\/eNL*fHQV-PSG0OczDPWqeappAjNpoH*kr0u5MsFb7kwWpZvE1x58wLvTX3PBERKLVnd3YOuM91YjaFWnGelG3rbZxhstlBNu\/Capture.PNG\" target=\"_self\"><img decoding=\"async\" src=\"https:\/\/api.ning.com\/files\/eNL*fHQV-PSG0OczDPWqeappAjNpoH*kr0u5MsFb7kwWpZvE1x58wLvTX3PBERKLVnd3YOuM91YjaFWnGelG3rbZxhstlBNu\/Capture.PNG\" class=\"align-center\"><\/a><\/p>\n<\/p>\n<div><a href=\"https:\/\/api.ning.com\/files\/UIp6-tRQFlaQCp5MXb3Vc5xIwb-42rDt2lXnT*8T4104w2gLB3bVd0vmn8TRWTncn1aE52CRYnjMOBlSc76yYK8sl62kFyyq\/redline.png\" target=\"_self\"><img decoding=\"async\" src=\"https:\/\/api.ning.com\/files\/UIp6-tRQFlaQCp5MXb3Vc5xIwb-42rDt2lXnT*8T4104w2gLB3bVd0vmn8TRWTncn1aE52CRYnjMOBlSc76yYK8sl62kFyyq\/redline.png\" width=\"750\" class=\"align-center\"><\/a><\/div>\n<p><span><strong>Download the book (members only)\u00a0<\/strong><\/span><\/p>\n<p><span><a href=\"https:\/\/www.datasciencecentral.com\/page\/free-books-1\" target=\"_blank\" rel=\"noopener\">Click here<\/a>\u00a0to get the book. For Data Science Central members only.\u00a0<\/span><span>If you have any issues accessing the book please contact us at\u00a0info@datasciencecentral.com.<\/span><\/p>\n<div><a href=\"https:\/\/api.ning.com\/files\/UIp6-tRQFlaQCp5MXb3Vc5xIwb-42rDt2lXnT*8T4104w2gLB3bVd0vmn8TRWTncn1aE52CRYnjMOBlSc76yYK8sl62kFyyq\/redline.png\" target=\"_self\"><img decoding=\"async\" src=\"https:\/\/api.ning.com\/files\/UIp6-tRQFlaQCp5MXb3Vc5xIwb-42rDt2lXnT*8T4104w2gLB3bVd0vmn8TRWTncn1aE52CRYnjMOBlSc76yYK8sl62kFyyq\/redline.png\" width=\"750\" class=\"align-center\"><\/a><\/div>\n<p><span style=\"font-size: 14pt;\"><strong>Contents<\/strong><\/span><\/p>\n<p><strong>Introduction\u00a0<\/strong><\/p>\n<ul>\n<li>Machine Learning, Deep Learning and AI\u00a0<\/li>\n<li>The Data Science Process\u00a0<\/li>\n<li>Categories of Machine Learning algorithms\u00a0<\/li>\n<li>How to learn rules from Data?\u00a0<\/li>\n<li>An introduction to Deep Learning\u00a0<\/li>\n<li>What problem does Deep Learning address?\u00a0<\/li>\n<li>How Deep Learning Drives Artificial Intelligence\u00a0<\/li>\n<\/ul>\n<p><strong>Deep Learning and neural networks<\/strong><\/p>\n<ul>\n<li>Perceptrons \u2013 an artificial neuron\u00a0<\/li>\n<li>MLP &#8211; How do Neural networks make a prediction?\u00a0<\/li>\n<li>Spatial considerations &#8211; Convolutional Neural Networks\u00a0<\/li>\n<li>Temporal considerations &#8211; RNN\/LSTM\u00a0<\/li>\n<li>The significance of Deep Learning\u00a0<\/li>\n<li>Deep Learning provides better representation for understanding the world\u00a0<\/li>\n<li>Deep Learning a Universal Function Approximator\u00a0<\/li>\n<\/ul>\n<p><strong>What functionality does AI enable for the Enterprise?<\/strong>\u00a0<\/p>\n<ul>\n<li>Technical capabilities of AI<\/li>\n<li>Functionality enabled by AI in the Enterprise value chain\u00a0<\/li>\n<\/ul>\n<p><strong>Enterprise AI applications<\/strong>\u00a0<\/p>\n<ul>\n<li>Creating a business case for Enterprise AI\u00a0<\/li>\n<li>Four Quadrants of the Enterprise AI business case\u00a0<\/li>\n<li>Types of AI problems\u00a0<\/li>\n<\/ul>\n<p><strong>Enterprise AI \u2013 Deployment considerations<\/strong>\u00a0<\/p>\n<ul>\n<li>A methodology to deploy AI applications in the Enterprise\u00a0<\/li>\n<li>DevOps and the CI\/CD philosophy<\/li>\n<\/ul>\n<p><strong>Conclusions<\/strong>\u00a0<\/p>\n<p><span style=\"font-size: 14pt;\"><strong>DSC Resources<\/strong><\/span><\/p>\n<ul>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/invitation-to-join-data-science-central\">Invitation to Join Data Science Central<\/a><\/li>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/free-ebook-enterprise-ai-an-applications-perspective\">Free eBook: Enterprise AI &#8211; An Applications Perspective<\/a><\/li>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/fee-book-applied-stochastic-processes\">Free Book: Applied Stochastic Processes<\/a><\/li>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/comprehensive-repository-of-data-science-and-ml-resources\">Comprehensive Repository of Data Science and ML Resources<\/a><\/li>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/advanced-machine-learning-with-basic-excel\">Advanced Machine Learning with Basic Excel<\/a><\/li>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/difference-between-machine-learning-data-science-ai-deep-learning\">Difference between ML, Data Science, AI, Deep Learning, and Statistics<\/a><\/li>\n<li><a href=\"https:\/\/www.datasciencecentral.com\/profiles\/blogs\/my-data-science-machine-learning-and-related-articles\">Selected Business Analytics, Data Science and ML articles<\/a><\/li>\n<li><a href=\"http:\/\/careers.analytictalent.com\/jobs\/products\">Hire a Data Scientist<\/a><span>\u00a0<\/span>|<span>\u00a0<\/span><a href=\"http:\/\/www.datasciencecentral.com\/page\/search?q=Python\">Search DSC<\/a><span>\u00a0<\/span>|<span>\u00a0<\/span><a href=\"http:\/\/classifieds.datasciencecentral.com\/\">Classifieds<\/a><span>\u00a0<\/span>|<span>\u00a0<\/span><a href=\"http:\/\/www.analytictalent.com\/\">Find a Job<\/a><\/li>\n<li><a href=\"http:\/\/www.datasciencecentral.com\/profiles\/blog\/new\">Post a Blog<\/a><span>\u00a0<\/span>|<span>\u00a0<\/span><a href=\"http:\/\/www.datasciencecentral.com\/forum\/topic\/new\">Forum Questions<\/a><\/li>\n<\/ul>\n<\/div>\n<p><a href=\"https:\/\/www.datasciencecentral.com\/xn\/detail\/6448529:BlogPost:773258\">Go to Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Author: Vincent Granville Now published. Enterprise AI: An applications perspective takes a use case driven approach to understand the deployment of AI in the Enterprise. [&hellip;] <span class=\"read-more-link\"><a class=\"read-more\" href=\"https:\/\/www.aiproblog.com\/index.php\/2018\/11\/01\/new-book-enterprise-ai-an-applications-perspective\/\">Read More<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":1244,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[26],"tags":[],"_links":{"self":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/1243"}],"collection":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/comments?post=1243"}],"version-history":[{"count":0,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/1243\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media\/1244"}],"wp:attachment":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media?parent=1243"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/categories?post=1243"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/tags?post=1243"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}