{"id":3784,"date":"2019-01-04T13:36:41","date_gmt":"2019-01-04T13:36:41","guid":{"rendered":"https:\/\/previous.predictiveanalyticsworld.de\/?page_id=3784"},"modified":"2019-05-03T14:16:13","modified_gmt":"2019-05-03T14:16:13","slug":"predictive-analytics-industry-4-0-for-practitioners-and-decision-makers-with-christian-spindler","status":"publish","type":"page","link":"https:\/\/previous.predictiveanalyticsworld.de\/en\/industry4-0\/predictive-analytics-industry-4-0-for-practitioners-and-decision-makers-with-christian-spindler\/","title":{"rendered":"Workshop: Predictive Analytics Industry 4.0 for Practitioners and Decision Makers with Christian Spindler"},"content":{"rendered":"<p><\/p>\n<style>\n.personcard .backgroundimage {\nbackground-image: none !important;\n}\n<\/style>\n<p><a name=\"paw-workshop1\" id=\"paw-workshop1\"><\/a><\/p>\n<p><!--div class=\"alert alert-warning alert-dismissable fade in\">\nThe following workshop with  Martin Szugat will be held in English. <img title=\"Workshop finden teilweise oder ganz auf englisch statt\" src=\"https:\/\/conversionconference.de\/wp-content\/plugins\/risingmedia_api\/img\/flags\/4x3\/gb.svg\" alt=\"Workshop finden teilweise oder ganz auf englisch statt\" width=\"20\" border=\"0\" \/>\n<\/div-->\n<h1><u>Workshop:<\/u> Predictive Analytics Industry 4.0 for Practitioners and Decision Makers with Christian Spindler<\/h1>\n<h2>Wednesday, 8 May, 2019<\/h2>\n<h3>9:00 am &#8211; 5:00 pm<\/h3>\n<h3>Holiday Inn Munich City Center<\/h3>\n<hr \/>\n<div class=\"col-xs-12 col-sm-12 col-md-8 col-lg-9 nopadding\">\n<p>Included are two coffee breaks, lunch and soft drinks during the conference<\/p>\n<p><strong>The workshop places are limited \u2013 secure your space now!<\/strong><\/p>\n<div>\n<a href=\"\/industry4-0\/anmelden\/#pricecat598\" class=\"btn btn-register\" style=\"text-align: center; text-decoration: none; color: #ffffff;\">Register Now for <strong>\u20ac895<\/strong><!--registration coming soon--><\/a>\n<\/div>\n<h4 style=\"margin-top: 25px;\">Intended Audiences:<\/h4>\n<ul>\n<li>Production Heads and Maintenance Managers who seek concrete advice how their particular problems can be addressed with data mining, predictive analytics and machine learning, and how to start<\/li>\n<li>C-level managers who want to understand how Industry 4.0 creates value in real cases and how organizations arrived at that point<\/li>\n<li>Data Scientists who want to familiarize with the particularities of industrial processes and production data<\/li>\n<li>Engineers and Product Managers who are interested in how predictive analytics and artificial intelligence can improve and transform their products and services<\/li>\n<\/ul>\n<h4 style=\"margin-top: 15px;\">Goals:<\/h4>\n<ol>\n<li>Understand the data science value chain in a production environment<\/li>\n<li>Learn best-practices in setting up data-driven solutions in production, and how to assess and improve the quality of such solutions over time<\/li>\n<li>Understand why predictive analytics projects fail &#8211; and learn to avoid the pitfalls<\/li>\n<\/ol>\n<\/div>\n<div class=\"col-xs-12 col-sm-12 col-md-4 col-lg-3\">\n<h4 style=\"text-align: center;\">Leader:<\/h4>\n<div class=\"singleprofile\"><div class=\"speaker personcard\" id=\"personcard37846199\" itemscope itemtype=\"http:\/\/schema.org\/Person\"><div class=\"inner\"><div class=\"backgroundimage\" style=\"background-image:url(https:\/\/stuff.risingmedia.eu\/images\/speaker\/6199.jpg?d=1569322447); width: 100%;\"><div class=\"gardient\"><div class=\"glass\"><div class=\"infos\"><div class=\"personpicture\"><a href=\"https:\/\/previous.predictiveanalyticsworld.de\/en\/industry4-0\/predictive-analytics-industry-4-0-for-practitioners-and-decision-makers-with-christian-spindler\/#37846199\"><img class=\" img-person img-responsive\" src=\"https:\/\/stuff.risingmedia.eu\/images\/speaker\/6199.jpg?d=1569322447\" width=\"100\" height=\"100\" alt=\"Dr. Christian Spindler\" title=\"Dr. Christian Spindler\" border=\"0\" itemprop=\"image\" \/><\/a><img class=\"countryflag img-responsive\" src=\"https:\/\/previous.predictiveanalyticsworld.de\/wp-content\/plugins\/risingmedia_api\/img\/flags\/4x3\/ch.svg\" width=\"30\" height=\"\" border=\"0\" \/><\/div><!-- \/.personpicture --><a href=\"https:\/\/previous.predictiveanalyticsworld.de\/en\/industry4-0\/predictive-analytics-industry-4-0-for-practitioners-and-decision-makers-with-christian-spindler\/#37846199\"><h5 class=\"nameline\" itemprop=\"name\">Dr. Christian Spindler<\/h5><\/a><p class=\"jobline\" itemprop=\"jobTitle\">Co-Founder and CEO<\/p><p class=\"companyline\" itemprop=\"brand\"><a target=\"_blank\" href=\"https:\/\/www.42scientific.com\/?lang=de\" class=\"\" link-action=\"outbound\" link-category=\"Person Company Link - Christian Spindler\" link-label=\"\">42scientific GmbH<\/a><\/p><div class=\"socialprofiles\"><\/div><div style=\"clear: both;\"><\/div><\/div><!-- \/.infos --><\/div><!-- \/.glass --><\/div><!-- \/.gardient --><\/div><!-- \/.backgroundimage --><\/div><!-- \/.inner --><\/div><!-- \/.speaker personcard --><\/div><!-- \/.singleprofile -->\n<div style=\"clear: both;\"><\/div>\n<\/div>\n<div style=\"clear: both;\"><\/div>\n<h4 style=\"margin-top: 15px;\">Content:<\/h4>\n<p>Data mining and predictive analytics are key topics in Industrie 4.0. Data mining brings data together from various sources within a production hall, a company or even a global network of production sites. It harvests the fuel for all data-driven processes that finally lower cost and increase effectiveness of the production. Predictive analytics on this data is the engine that drives those effectiveness gains and even enables new business models.<\/p>\n<p>Significant value propositions in mind, it is not a straightforward task to start engaging with data mining and predictive analytics. The data science value chain in a production environment can be complex, involving a heterogeneous landscape of data sources and formats. Developing effective models and keeping their quality and return-on-invest up over time is also not an easy task. Finally, understanding how to set up data science projects in manufacturing is crucial to bridge the gap from proof-of-concept to a productive solution.<\/p>\n<p>The one-day workshop \u201cPredictive Analytics Industry 4.0 for Practitioners and Decision Makers\u201d offers a use-case and demo-based guideline how to draw most value from data science for the shop floor. At the end of the day, you\u2019ll be able to independently conceptualize data-driven use cases for your organization, understand the steps to bring those cases to live, and know how to assess the value they bring for your company. Equipped by this knowledge you are able to optimize business outcome, while addressing risks and uncertainties as early as possible.<\/p>\n<h4 style=\"margin-top: 15px;\">Agenda:<\/h4>\n<table width=\"100%\" style=\"border-collapse: collapse; border: 1px solid #c0c0c0;\">\n<tr>\n<td width=\"120\" style=\"padding: 10px; border: 1px solid #c0c0c0; text-align: center; background-color: #dfdfdf;\">8:00 am<\/td>\n<td style=\"padding: 10px; border: 1px solid #c0c0c0; background-color: #dfdfdf;\">Registration<\/td>\n<\/tr>\n<tr>\n<td width=\"120\" style=\"padding: 10px; border: 1px solid #c0c0c0; text-align: center; background-color: #dfdfdf;\">9:00 am<\/td>\n<td style=\"padding: 10px; border: 1px solid #c0c0c0; font-weight: bold;\">Welcome &#038; introduction, sharing expectations of the workshop<\/td>\n<\/tr>\n<tr>\n<td width=\"120\" style=\"padding: 10px; border: 1px solid #c0c0c0; text-align: center; background-color: #dfdfdf;\">9:15 am<\/td>\n<td style=\"padding: 10px; border: 1px solid #c0c0c0; font-weight: bold;\">Presentation: The state of data science and predictive analytics in Industry 4.0<\/td>\n<\/tr>\n<tr>\n<td width=\"120\" style=\"padding: 10px; border: 1px solid #c0c0c0; text-align: center; background-color: #dfdfdf;\">9:45 am<\/td>\n<td style=\"padding: 10px; border: 1px solid #c0c0c0; font-weight: bold;\">Presentation\/Demo: Data Mining. The value of raw data transparency in a heterogeneous production landscape<\/td>\n<\/tr>\n<tr>\n<td width=\"120\" style=\"padding: 10px; border: 1px solid #c0c0c0; text-align: center; background-color: #dfdfdf;\">10:30 am<\/td>\n<td style=\"padding: 10px; border: 1px solid #c0c0c0; background-color: #dfdfdf;\">Coffee break<\/td>\n<\/tr>\n<tr>\n<td width=\"120\" style=\"padding: 10px; border: 1px solid #c0c0c0; text-align: center; background-color: #dfdfdf;\">11:00 pm<\/td>\n<td style=\"padding: 10px; border: 1px solid #c0c0c0; font-weight: bold;\">Presentation: Data Science: What are proven steps to generate analytics models in an industrial context?<\/td>\n<\/tr>\n<tr>\n<td width=\"120\" style=\"padding: 10px; border: 1px solid #c0c0c0; text-align: center; background-color: #dfdfdf;\">11:45 am<\/td>\n<td style=\"padding: 10px; border: 1px solid #c0c0c0; font-weight: bold;\">Practice: Successful predictive analytics use cases in Industry 4.0 and how they were built<\/td>\n<\/tr>\n<tr>\n<td width=\"120\" style=\"padding: 10px; border: 1px solid #c0c0c0; text-align: center; background-color: #dfdfdf;\">12:30 pm<\/td>\n<td style=\"padding: 10px; border: 1px solid #c0c0c0; background-color: #dfdfdf;\">Lunch break<\/td>\n<\/tr>\n<tr>\n<td width=\"120\" style=\"padding: 10px; border: 1px solid #c0c0c0; text-align: center; background-color: #dfdfdf;\">1:15 pm<\/td>\n<td style=\"padding: 10px; border: 1px solid #c0c0c0; font-weight: bold;\">Demo: Machine Learning: The top machine learning use cases in Industry 4.0: Time-series analysis, anomaly detection and computer vision. What is their business value and how are they implemented, monitored, and certified?<\/td>\n<\/tr>\n<tr>\n<td width=\"120\" style=\"padding: 10px; border: 1px solid #c0c0c0; text-align: center; background-color: #dfdfdf;\">3:00 pm<\/td>\n<td style=\"padding: 10px; border: 1px solid #c0c0c0; background-color: #dfdfdf;\">Coffee break<\/td>\n<\/tr>\n<tr>\n<td width=\"120\" style=\"padding: 10px; border: 1px solid #c0c0c0; text-align: center; background-color: #dfdfdf;\">3:30 pm<\/td>\n<td style=\"padding: 10px; border: 1px solid #c0c0c0; font-weight: bold;\">Practice: Why do predictive analytics projects fail &#8211; and how to avoid the pitfalls<\/td>\n<\/tr>\n<tr>\n<td width=\"120\" style=\"padding: 10px; border: 1px solid #c0c0c0; text-align: center; background-color: #dfdfdf;\">4:15 pm<\/td>\n<td style=\"padding: 10px; border: 1px solid #c0c0c0; font-weight: bold;\">Presentation: Exploiting digital twin data for flexible raw data access and seamless predictive analytics<\/td>\n<\/tr>\n<tr>\n<td width=\"120\" style=\"padding: 10px; border: 1px solid #c0c0c0; text-align: center; background-color: #dfdfdf;\">4:45 pm<\/td>\n<td style=\"padding: 10px; border: 1px solid #c0c0c0; font-weight: bold;\">Q&#038;A and open feedback session, wrap-up<\/td>\n<\/tr>\n<tr>\n<td width=\"120\" style=\"padding: 10px; border: 1px solid #c0c0c0; text-align: center; background-color: #dfdfdf;\">5:00 pm<\/td>\n<td style=\"padding: 10px; border: 1px solid #c0c0c0; background-color: #dfdfdf;\">End of workshop<\/td>\n<\/tr>\n<\/table>\n<h4 style=\"margin-top: 15px;\" id=\"37846199\">Trainer:<\/h4>\n<p>With his industrial analytics consultancy DATA AHEAD ANALYTICS, Christian Spindler supports companies in their digital transformation to analytics-driven organization with consulting and solution development in all data and analytics aspects. His approach to data and analytics workshops is to involve the audience into actively testing and playing with concepts and solutions, to maximize the learning process and foster ideation. Christian Spindler sums up more than 10 years of data science and industrial experience.<\/p>\n<p>Prior to Data Ahead, Christian Spindler was Senior Manager at the global consultancy PricewaterhouseCoopers, where he led the IoT &#038; machine learning activities within the data analytics department. Before, he got extensive training in predictive maintenance and industrial analytics during his role as Senior Researcher at the global electro-technology company ABB. Christian Spindler has a quantitative education in physics (PhD) and earned an M.B.A. from St. Gallen University.<\/p>\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>Workshop: Predictive Analytics Industry 4.0 for Practitioners and Decision Makers with Christian Spindler Wednesday, 8 May, 2019 9:00 am &#8211; 5:00 pm Holiday Inn Munich City Center Included are two coffee breaks, lunch and soft drinks during the conference The workshop places are limited \u2013 secure your space now! Register <a class=\"\" href=\"https:\/\/previous.predictiveanalyticsworld.de\/en\/industry4-0\/predictive-analytics-industry-4-0-for-practitioners-and-decision-makers-with-christian-spindler\/\">&#8230;&nbsp;weiter lesen<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":2292,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/previous.predictiveanalyticsworld.de\/en\/wp-json\/wp\/v2\/pages\/3784"}],"collection":[{"href":"https:\/\/previous.predictiveanalyticsworld.de\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/previous.predictiveanalyticsworld.de\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/previous.predictiveanalyticsworld.de\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/previous.predictiveanalyticsworld.de\/en\/wp-json\/wp\/v2\/comments?post=3784"}],"version-history":[{"count":18,"href":"https:\/\/previous.predictiveanalyticsworld.de\/en\/wp-json\/wp\/v2\/pages\/3784\/revisions"}],"predecessor-version":[{"id":3939,"href":"https:\/\/previous.predictiveanalyticsworld.de\/en\/wp-json\/wp\/v2\/pages\/3784\/revisions\/3939"}],"up":[{"embeddable":true,"href":"https:\/\/previous.predictiveanalyticsworld.de\/en\/wp-json\/wp\/v2\/pages\/2292"}],"wp:attachment":[{"href":"https:\/\/previous.predictiveanalyticsworld.de\/en\/wp-json\/wp\/v2\/media?parent=3784"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}