{"id":5629,"date":"2024-02-28T19:42:52","date_gmt":"2024-02-28T19:42:52","guid":{"rendered":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/?page_id=5629"},"modified":"2024-03-22T14:59:23","modified_gmt":"2024-03-22T14:59:23","slug":"zhiwei-zhu","status":"publish","type":"page","link":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/speakers\/zhiwei-zhu\/","title":{"rendered":"Zhiwei Zhu"},"content":{"rendered":"<!--themify_builder_content-->\n<div id=\"themify_builder_content-5629\" data-postid=\"5629\" class=\"themify_builder_content themify_builder_content-5629 themify_builder tf_clear\">\n                    <div  data-lazy=\"1\" class=\"module_row themify_builder_row dropPadding-bottom tb_0l52602 tb_first tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_2 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col4-1 tb_0ygc603 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_esex603 image-top   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"300\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/files\/2024\/02\/Zhiwei_Zhu.jpg\" class=\"wp-post-image wp-image-5630\" title=\"Zhiwei Zhu\" alt=\"Zhiwei Zhu\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/files\/2024\/02\/Zhiwei_Zhu.jpg 300w, https:\/\/meetings.informs.org\/wordpress\/analytics2024\/files\/2024\/02\/Zhiwei_Zhu-150x150.jpg 150w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/>    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <div class=\"image-content\">\n                    <h3 class=\"image-title\">\n                                    Zhiwei Zhu                            <\/h3>\n                    <\/div>\n    <!-- \/image-content -->\n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-3 tb_g2w3604 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_t7c7604   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h1>Zhiwei Zhu<\/h1>\n<h5>Professor at Purdue University<\/h5>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module accordion -->\n<div  class=\"module module-accordion tb_2plz358 \" data-behavior=\"toggle\" data-lazy=\"1\">\n    \n    <ul class=\"ui module-accordion  glossy tb_default_color\">\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-2plz358-0\" class=\"tb_title_accordion\" aria-controls=\"acc-2plz358-0-content\" aria-expanded=\"false\">\n                    <i class=\"accordion-icon\"><svg  class=\"tf_fa tf-ti-plus\" aria-hidden=\"true\"><use href=\"#tf-ti-plus\"><\/use><\/svg><\/i>                    <i class=\"accordion-active-icon tf_hide\"><svg  class=\"tf_fa tf-ti-minus\" aria-hidden=\"true\"><use href=\"#tf-ti-minus\"><\/use><\/svg><\/i>                    <span class=\"accordion-title-wrap\">Bio<\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-2plz358-0-content\" data-id=\"acc-2plz358-0\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                                    <div class=\"tb_text_wrap\">\n                        <p>Professor Zhu currently serves as the academic director of the BS Business Analytics and Information Management (BAIM) program and teaches graduate and undergraduate courses in Business Analytics and Data Science at the Daniels School of Business at Purdue University. Recognized for his excellence in teaching, he was honored as one of the &#8220;Best Undergraduate Professors&#8221; by Poets &amp; Quants in 2023. Additionally, he has been awarded a grant by the Fulbright Foreign Scholarship Board and will collaborate on an &#8220;Achieve Excellence of Business Analytics Teaching and Research&#8221; project with an international institution in 2024.<\/p>\n<p>Before joining Purdue University, Professor Zhu amassed over 15 years of industry experience, specializing in establishing and managing business analytics functions within major global and U.S. insurance companies.<\/p>\n<p>He holds a Ph.D. in Statistics from Michigan State University and a Master&#8217;s degree in Mathematics from Central South University (China).<\/p>                    <\/div>\n                            <\/div><!-- .accordion-content -->\n        <\/li>\n        <\/ul>\n\n<\/div><!-- \/module accordion -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-css_id=\"u6fe602\" data-lazy=\"1\" class=\"module_row themify_builder_row fullwidth_row_container tb_u6fe602 tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_1 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col-full tb_84q1605 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_k572608 track  \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h6>Track: Machine Learning &amp; AI<\/h6>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module text -->\n<div  class=\"module module-text tb_xwmz608   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>Generative AI&#8217;s Enduring Significance to Analytics and Data Science<\/h2>\n<p>Have you noticed the recent surge in Generative AI (GAI) applications, exemplified by OpenAI&#8217;s ChatGPT and Microsoft&#8217;s Copilot? Are you curious about the relevance of GAI in analytics and its impact on the analytics profession? This presentation explores two paradigm-shifting expansions facilitated by GAI in analytics and emphasizes the indispensable applications and values of traditional analytics. These insights are valuable for analytics professionals seeking answers in the evolving landscape shaped by GAI around their positions. Moreover, GAI, as a catalyst propelling analytics into uncharted territories, necessitates a robust scientific understanding and foundational optimization. The speaker contends that data science, as a rising star in the analytics sciences, is best positioned to assume the responsibility, seamlessly bridging historical analytics foundations and future AI frontiers. This allows data science to distinctively differentiate itself from other established analytical sciences and practices.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n        <\/div>\n<!--\/themify_builder_content-->","protected":false},"excerpt":{"rendered":"<p>Zhiwei Zhu Professor at Purdue University<\/p>\n","protected":false},"author":1001140,"featured_media":0,"parent":712,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"class_list":["post-5629","page","type-page","status-publish","hentry","has-post-title","has-post-date","has-post-category","has-post-tag","has-post-comment","has-post-author",""],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.0 (Yoast SEO v26.0) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Zhiwei Zhu - 2024 INFORMS Analytics Conference<\/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:\/\/meetings.informs.org\/wordpress\/analytics2024\/speakers\/zhiwei-zhu\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Zhiwei Zhu\" \/>\n<meta property=\"og:description\" content=\"Zhiwei Zhu Professor at Purdue University\" \/>\n<meta property=\"og:url\" content=\"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/speakers\/zhiwei-zhu\/\" \/>\n<meta property=\"og:site_name\" content=\"2024 INFORMS Analytics Conference\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/INFORMSpage\/\" \/>\n<meta property=\"article:modified_time\" content=\"2024-03-22T14:59:23+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/files\/2023\/11\/analytics-2024-logo.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"414\" \/>\n\t<meta property=\"og:image:height\" content=\"414\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@2023_Analytics\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/speakers\/zhiwei-zhu\/\",\"url\":\"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/speakers\/zhiwei-zhu\/\",\"name\":\"Zhiwei Zhu - 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Recognized for his excellence in teaching, he was honored as one of the \"Best Undergraduate Professors\" by Poets &amp; Quants in 2023. Additionally, he has been awarded a grant by the Fulbright Foreign Scholarship Board and will collaborate on an \"Achieve Excellence of Business Analytics Teaching and Research\" project with an international institution in 2024.<\/p> <p>Before joining Purdue University, Professor Zhu amassed over 15 years of industry experience, specializing in establishing and managing business analytics functions within major global and U.S. insurance companies.<\/p> <p>He holds a Ph.D. in Statistics from Michigan State University and a Master's degree in Mathematics from Central South University (China).<\/p><\/li><\/ul>\n<h6>Track: Machine Learning &amp; AI<\/h6>\n<h2>Generative AI's Enduring Significance to Analytics and Data Science<\/h2> <p>Have you noticed the recent surge in Generative AI (GAI) applications, exemplified by OpenAI's ChatGPT and Microsoft's Copilot? Are you curious about the relevance of GAI in analytics and its impact on the analytics profession? This presentation explores two paradigm-shifting expansions facilitated by GAI in analytics and emphasizes the indispensable applications and values of traditional analytics. These insights are valuable for analytics professionals seeking answers in the evolving landscape shaped by GAI around their positions. Moreover, GAI, as a catalyst propelling analytics into uncharted territories, necessitates a robust scientific understanding and foundational optimization. The speaker contends that data science, as a rising star in the analytics sciences, is best positioned to assume the responsibility, seamlessly bridging historical analytics foundations and future AI frontiers. 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