{"id":843,"date":"2019-07-31T09:17:58","date_gmt":"2019-07-31T08:17:58","guid":{"rendered":"http:\/\/www.klaushaller.net\/?page_id=843"},"modified":"2022-03-26T10:35:16","modified_gmt":"2022-03-26T09:35:16","slug":"data-information-management-and-analytics","status":"publish","type":"page","link":"https:\/\/www.klaushaller.net\/?page_id=843","title":{"rendered":"Artificial Intelligence &#8211; MLOps &#8211; Information Management"},"content":{"rendered":"\n<div class=\"wp-block-image is-style-default\"><figure class=\"alignright size-medium\"><a href=\"http:\/\/www.klaushaller.net\/wp-content\/uploads\/2021\/11\/managing_ai_in_the_enterprise_succeeding_with_ai_projects_and_MLOps_to_build_sustainable_AI_organiations-1.jpg\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" width=\"252\" height=\"300\" src=\"http:\/\/www.klaushaller.net\/wp-content\/uploads\/2021\/11\/managing_ai_in_the_enterprise_succeeding_with_ai_projects_and_MLOps_to_build_sustainable_AI_organiations-1-252x300.jpg\" alt=\"\" class=\"wp-image-1136\" srcset=\"https:\/\/www.klaushaller.net\/wp-content\/uploads\/2021\/11\/managing_ai_in_the_enterprise_succeeding_with_ai_projects_and_MLOps_to_build_sustainable_AI_organiations-1-252x300.jpg 252w, https:\/\/www.klaushaller.net\/wp-content\/uploads\/2021\/11\/managing_ai_in_the_enterprise_succeeding_with_ai_projects_and_MLOps_to_build_sustainable_AI_organiations-1.jpg 619w\" sizes=\"auto, (max-width: 252px) 100vw, 252px\" \/><\/a><figcaption><a href=\"https:\/\/www.amazon.de\/Managing-Enterprise-Succeeding-Sustainable-Organizations\/dp\/1484278232\" data-type=\"URL\" data-id=\"https:\/\/www.amazon.de\/Managing-Enterprise-Succeeding-Sustainable-Organizations\/dp\/1484278232\">https:\/\/www.amazon.de\/Managing-Enterprise-Succeeding-Sustainable-Organizations\/dp\/1484278232<\/a><\/figcaption><\/figure><\/div>\n\n\n\n<p>The ability to acquire, process, and manage data and information is essential for today\u2019s organizations. While databases and data warehouses are well-known and established technologies, newer trends such as artificial intelligence, data analytics, data insights, advanced analytics, and self-service business intelligence enable companies to move ahead of their competitors.<\/p>\n\n\n\n<p>I published numerous articles in English and German \u2013 and a <strong>book <\/strong>on how to run AI projects (&#8220;<strong>Managing AI in the Enterprise<\/strong>&#8220;), ML Ops, and how to set up a successful AI organization. In short: <em>505 grams that change your life as an AI specialist!<\/em><\/p>\n\n\n\n<p>My articles in English about <strong>AI &amp; Strategy<\/strong>:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"http:\/\/www.klaushaller.net\/?page_id=1046\" data-type=\"URL\" data-id=\"http:\/\/www.klaushaller.net\/?page_id=1046\" target=\"_blank\" rel=\"noreferrer noopener\">Becoming a Data-Driven Company<\/a> &#8211; Understand the concept of a data-driven company!<\/li><li><a rel=\"noreferrer noopener\" href=\"https:\/\/aibusiness.com\/author.asp?doc_id=768720&amp;section_id=789\" data-type=\"URL\" data-id=\"https:\/\/aibusiness.com\/author.asp?doc_id=768720&amp;section_id=789\" target=\"_blank\">Artificial intelligence in data-driven companies<\/a> &#8211; what is the role of AI for\/in data-driven organizations?<\/li><li><a href=\"https:\/\/aibusiness.com\/author.asp?section_id=789&amp;doc_id=774804\" data-type=\"URL\" data-id=\"https:\/\/aibusiness.com\/author.asp?section_id=789&amp;doc_id=774804\">Innovation and the AI technology stack<\/a> &#8211; an article helping you to align your AI teams&#8217; and data scientists&#8217; work with strategic company goals and to prevent ivory tower projects from wasting time and money.  <\/li><li><a rel=\"noreferrer noopener\" href=\"https:\/\/aibusiness.com\/author.asp?section_id=789&amp;doc_id=774570\" data-type=\"URL\" data-id=\"https:\/\/aibusiness.com\/author.asp?section_id=789&amp;doc_id=774570\" target=\"_blank\">AI and Ethics: Risks and dilemmas<\/a> &#8211; understand the Timnit Gebru versus Google controversy and how to avoid such clashes in your organization!<\/li><li><a rel=\"noreferrer noopener\" href=\"https:\/\/aibusiness.com\/author.asp?section_id=789&amp;doc_id=774504\" data-type=\"URL\" data-id=\"https:\/\/aibusiness.com\/author.asp?section_id=789&amp;doc_id=774504\" target=\"_blank\">Artificial intelligence creativity: Ready for the enterprise world?<\/a> &#8211; learn whether computers can be creative and how companies can benefit from that.<\/li><\/ul>\n\n\n\n<p>My articles in English about <strong>AI Concepts and Methodologies<\/strong>:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a rel=\"noreferrer noopener\" href=\"https:\/\/aibusiness.com\/author.asp?section_id=789&amp;doc_id=767230\" data-type=\"URL\" data-id=\"https:\/\/aibusiness.com\/author.asp?section_id=789&amp;doc_id=767230\" target=\"_blank\">A risk and security perspective on AI<\/a> &#8211; a general overview on the security risks of AI organizations<\/li><li><a rel=\"noreferrer noopener\" href=\"https:\/\/aibusiness.com\/author.asp?section_id=789&amp;doc_id=774649\" target=\"_blank\">Achieving productivity gains in data science<\/a> &#8211; which tools allow AI and data science teams to work more efficiently<\/li><li><a rel=\"noreferrer noopener\" href=\"https:\/\/aibusiness.com\/author.asp?section_id=789&amp;doc_id=770832&amp;f_src=aibusiness_node_1301\" target=\"_blank\">Securing AI systems: Addressing data piling and data access in AI training environments<\/a> &#8211; another article on securing the IT assets of an AI organization focussing more on specific data piling related risks<\/li><li><a rel=\"noreferrer noopener\" href=\"https:\/\/aibusiness.com\/author.asp?section_id=789&amp;doc_id=767172\" data-type=\"URL\" data-id=\"https:\/\/aibusiness.com\/author.asp?section_id=789&amp;doc_id=767172\" target=\"_blank\">Data catalogs: Enablers for AI projects<\/a> &#8211; an article you might want to read before starting any data catalog project in your organization and before even choosing the software solution.<\/li><li><a rel=\"noreferrer noopener\" href=\"http:\/\/tdan.com\/trends-in-data-management-and-analytics\/24603\" target=\"_blank\">Trends in Data Management and Analytics<\/a> &#8211; a high-level architectural view on trends in analytics, AI, data management, and data warehousing<\/li><li><a rel=\"noreferrer noopener\" href=\"https:\/\/aibusiness.com\/author.asp?section_id=789&amp;doc_id=767562\" target=\"_blank\">The intricacies of model management<\/a> &#8211; in academia, projects end after building a suitable AI model, but in a corporate world, models are in use for years and have to be maintained. This article unveils the mysteries!<\/li><li><a href=\"http:\/\/www.klaushaller.net\/?page_id=1112\" data-type=\"URL\" data-id=\"http:\/\/www.klaushaller.net\/?page_id=1112\">Quality Assurance and Machine Learning Models<\/a> &#8211; a testing and quality assurance perspective on the work of AI projects and data science teams.<\/li><li><a href=\"http:\/\/www.klaushaller.net\/?page_id=987\" data-type=\"URL\" data-id=\"http:\/\/www.klaushaller.net\/?page_id=987\">Making CRISP-DM Work for Embedded Analytics<\/a> discussed how to successfully organize the interplay of AI projects and software development projects when working on one joined vision and solution. To download a pdf version, click <a rel=\"noreferrer noopener\" href=\"http:\/\/www.klaushaller.net\/wp-content\/uploads\/2020\/01\/Embedded-Analytics-CRISP-DM-Klaus-Haller-TDAN-2020.pdf\" data-type=\"URL\" data-id=\"http:\/\/www.klaushaller.net\/wp-content\/uploads\/2020\/01\/Embedded-Analytics-CRISP-DM-Klaus-Haller-TDAN-2020.pdf\" target=\"_blank\">here<\/a>.<\/li><\/ul>\n\n\n\n<p>My articles in German:<\/p>\n\n\n\n<ul class=\"wp-block-list\" id=\"block-c9b9bd44-ff07-4345-8e07-52e6223eed31\"><li><a rel=\"noreferrer noopener\" href=\"https:\/\/www.vertriebsmanager.de\/ressort\/predictive-analytics-vertrieb\" target=\"_blank\">Quick Wins im Vertrieb dank Predictive Analytics<\/a><\/li><li><a rel=\"noreferrer noopener\" href=\"https:\/\/www.vertriebsmanager.de\/ressort\/predictive-analytics-und-marktbearbeitung-eine-strategische-perspektive-2037488047\" target=\"_blank\">Predictive Analytics und Marktbearbeitung &#8211; eine strategische Perspektive<\/a><\/li><li><a rel=\"noreferrer noopener\" href=\"https:\/\/issuu.com\/isqi\/docs\/sq-magazin-50\/38\" target=\"_blank\">Data Analytics &#8211; Stolperfallen und Testbedarf<\/a><\/li><li><a rel=\"noreferrer noopener\" href=\"https:\/\/www.linkedin.com\/pulse\/data-governance-applikationsdaten-im-klaus-haller\/\" target=\"_blank\">Data Governance: Applikationsdaten im Unternehmenskontext<\/a><\/li><li><a rel=\"noreferrer noopener\" href=\"https:\/\/www.linkedin.com\/pulse\/die-drei-dimensionen-von-datenqualit%C3%A4t-klaus-haller\/\" target=\"_blank\">Die drei Dimensionen von Datenqualit\u00e4t<\/a><\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>The ability to acquire, process, and manage data and information is essential for today\u2019s organizations. While databases and data warehouses are well-known and established technologies, newer trends such as artificial intelligence, data analytics, data insights, advanced analytics, and self-service business intelligence enable companies to move ahead of their competitors. I published numerous articles in English [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":20,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-843","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.klaushaller.net\/index.php?rest_route=\/wp\/v2\/pages\/843","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.klaushaller.net\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.klaushaller.net\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.klaushaller.net\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.klaushaller.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=843"}],"version-history":[{"count":22,"href":"https:\/\/www.klaushaller.net\/index.php?rest_route=\/wp\/v2\/pages\/843\/revisions"}],"predecessor-version":[{"id":1260,"href":"https:\/\/www.klaushaller.net\/index.php?rest_route=\/wp\/v2\/pages\/843\/revisions\/1260"}],"wp:attachment":[{"href":"https:\/\/www.klaushaller.net\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=843"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}