{"id":2946,"date":"2025-07-28T05:50:34","date_gmt":"2025-07-28T05:50:34","guid":{"rendered":"https:\/\/ieomsociety.org\/capetown2026\/?page_id=2946"},"modified":"2025-07-28T05:58:49","modified_gmt":"2025-07-28T05:58:49","slug":"ai-ml-competition","status":"publish","type":"page","link":"https:\/\/ieomsociety.org\/capetown2026\/ai-ml-competition\/","title":{"rendered":"AI &amp; ML Competition"},"content":{"rendered":"<h1 style=\"text-align: center;\"><span style=\"color: #993300;\"><strong>Artificial Intelligence and Machine Learning Competition<\/strong><\/span><\/h1>\n<h2 style=\"text-align: center;\"><strong>Competition Submission Deadline: February 15, 2026<\/strong><\/h2>\n<hr \/>\n<p><strong>Submission Link:\u00a0<a href=\"https:\/\/www.xcdsystem.com\/IEOM\/abstract\/index.cfm?ID=4NV4t3A\" target=\"_blank\" rel=\"noopener\">https:\/\/www.xcdsystem.com\/IEOM\/abstract\/index.cfm?ID=4NV4t3A<\/a><\/strong><br \/>\n<strong>Registration Link:\u00a0<a href=\"https:\/\/www.xcdsystem.com\/IEOM\/attendee\/index.cfm?ID=oU2n27y\" target=\"_blank\" rel=\"noopener\">https:\/\/www.xcdsystem.com\/IEOM\/attendee\/index.cfm?ID=oU2n27y<\/a><\/strong><\/p>\n<hr \/>\n<p>The AI and Data Analytics discusses the latest advancements, trends, and applications of AI and data-driven strategies across various industries, including higher education. By highlighting cutting-edge research, real-world case studies, and emerging technologies, the discussion aims to provide invaluable insights into how businesses can leverage AI and data analytics to drive innovation, enhance decision-making, and maintain a competitive edge in an increasingly data-centric world.<\/p>\n<ul>\n<li>Trends in AI and Data Analytics<\/li>\n<li>AI in Education Transformation<\/li>\n<li>Big Data Management and IA Business Transformation<\/li>\n<li>Ethics and Governance in AI<\/li>\n<li>Challenges in AI Deployment<\/li>\n<li>Future of AI and Data Analytics<\/li>\n<\/ul>\n<p><strong>IEOM Competition Rubrics<\/strong><\/p>\n<ul>\n<li>Overall content: 1-5 points<\/li>\n<li>Data analysis and results: 1-5 points<\/li>\n<li>Presentation skills: 1-5 points<\/li>\n<li>Knowledge of the topic \/ confident: 1-5 points<\/li>\n<li>Answering questions: 1-5 points<\/li>\n<\/ul>\n<hr \/>\n<h2><a href=\"http:\/\/ieomsociety.org\/ieom\/ethics-malpractice-statement\/\"><strong>IEOM Publication Ethics and Malpractice Statement<\/strong><\/a><\/h2>\n<hr \/>\n<h2>Each paper must present a significant research contribution, encompassing:<\/h2>\n<ol>\n<li><strong>Motivation of the Research<\/strong>: Clearly state the relevance of the research and its importance within the field.<\/li>\n<li><strong>Problem Statements and Objectives<\/strong>: Identify the specific problem(s) addressed and outline clear, measurable objectives.<\/li>\n<li><strong>Literature Review<\/strong>: Provide a comprehensive review of relevant research to establish the context and background.<\/li>\n<li><strong>Data<\/strong>: Describe the data sources, collection methods, and any preprocessing steps undertaken.<\/li>\n<li><strong>Methods<\/strong>: Detail the methodologies used, including the rationale behind their selection.<\/li>\n<li><strong>Results<\/strong>: Include both numerical and graphical results, effectively presenting key findings.<\/li>\n<li><strong>Statistical Analysis and Hypothesis Tests<\/strong>: Perform appropriate statistical tests to validate findings, presenting results with proper interpretation.<\/li>\n<li><strong>Research Validation<\/strong>: Demonstrate that each objective has been met through quantitative or qualitative analysis, confirming the reliability of the results.<\/li>\n<li><strong>Technical Writing Quality<\/strong>: Ensure the paper is well-written, free from spelling and grammatical errors, and follows a clear, logical structure.<\/li>\n<\/ol>\n<p>Each paper and its abstract must strictly adhere to the IEOM Template for consistent formatting, including fonts, headings, and layout.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Artificial Intelligence and Machine Learning Competition Competition Submission Deadline: February 15, 2026 Submission Link:\u00a0https:\/\/www.xcdsystem.com\/IEOM\/abstract\/index.cfm?ID=4NV4t3A Registration Link:\u00a0https:\/\/www.xcdsystem.com\/IEOM\/attendee\/index.cfm?ID=oU2n27y The AI and Data Analytics discusses the latest advancements, trends, and applications of AI and data-driven strategies across various industries, including higher education. By highlighting cutting-edge research, real-world case studies, and emerging technologies, the discussion aims to provide invaluable [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-2946","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/ieomsociety.org\/capetown2026\/wp-json\/wp\/v2\/pages\/2946","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ieomsociety.org\/capetown2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ieomsociety.org\/capetown2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ieomsociety.org\/capetown2026\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ieomsociety.org\/capetown2026\/wp-json\/wp\/v2\/comments?post=2946"}],"version-history":[{"count":4,"href":"https:\/\/ieomsociety.org\/capetown2026\/wp-json\/wp\/v2\/pages\/2946\/revisions"}],"predecessor-version":[{"id":2953,"href":"https:\/\/ieomsociety.org\/capetown2026\/wp-json\/wp\/v2\/pages\/2946\/revisions\/2953"}],"wp:attachment":[{"href":"https:\/\/ieomsociety.org\/capetown2026\/wp-json\/wp\/v2\/media?parent=2946"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}