{"id":11764,"date":"2026-08-13T09:33:52","date_gmt":"2026-08-13T14:33:52","guid":{"rendered":"https:\/\/meetings.informs.org\/wordpress\/annual\/?page_id=11764"},"modified":"2026-09-11T09:35:50","modified_gmt":"2026-09-11T14:35:50","slug":"exhibitor-workshops","status":"publish","type":"page","link":"https:\/\/meetings.informs.org\/wordpress\/annual\/exhibitor-workshops\/","title":{"rendered":"Exhibitor Workshops"},"content":{"rendered":"<!--themify_builder_content-->\n<div id=\"themify_builder_content-11764\" data-postid=\"11764\" class=\"themify_builder_content themify_builder_content-11764 themify_builder tf_clear\">\n                    <div  data-zoom-bg=\"desktop\" data-css_id=\"73ap816\" data-lazy=\"1\" class=\"module_row themify_builder_row fullwidth_row_container tb_73ap816 tb_first tf_w\">\n            <span  class=\"builder_row_cover tf_abs\" data-lazy=\"1\"><\/span>            <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_0eei816 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_8p4l816   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h1 class=\"page-title\">Exhibitor Workshops<\/h1>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-lazy=\"1\" class=\"module_row themify_builder_row tb_gcf7829 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_w0br829 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_09kg582   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p>Take advantage of these complimentary, pre-meeting Exhibitor Workshops for hands-on demonstrations of the latest industry products and software. All full conference registrants are welcome to preregister or join on site. You\u2019ll be able to add these preconference workshops to your current registration in September.<\/p>\n<p>All Exhibitor Workshops will be held in Moscone Center South on <b>Saturday, October 31<\/b>.<\/p>\n<h3 style=\"text-align: left\"><strong>Additional details coming soon!<\/strong><\/h3>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-lazy=\"1\" class=\"module_row themify_builder_row tb_m67a523 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_ub6k523 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_etnd523   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3>10:30-11:45AM<\/h3>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"sas\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-sas tb_7wmr845 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 col4-2 tb_gjdh845 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_eyrc752 image-center   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <a href=\"https:\/\/www.sas.com\/en_us\/home.html#\" rel=\"noopener\" target=\"_blank\">\n                   <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/06\/sas-logo-blue-300x124.png\" width=\"300\" height=\"124\" class=\"wp-post-image wp-image-12350\" title=\"sas-logo-blue\" alt=\"sas-logo-blue\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/06\/sas-logo-blue-300x124.png 300w, https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/06\/sas-logo-blue-250x103.png 250w, https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/06\/sas-logo-blue.png 600w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/>        <\/a>\n    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-2 tb_naxa845 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_ust7580   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3>SAS Optimization, Quantum Computing, Network Analytics, and IoT<\/h3>\n<p><strong>Speakers:\u00a0Rob Pratt,\u00a0Amy Becker, &amp;\u00a0Yonggui Yan<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module accordion -->\n<div  class=\"module module-accordion tb_7hme522 \" data-behavior=\"toggle\" data-lazy=\"1\">\n    \n    <ul class=\"ui module-accordion   tb_default_color\">\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-7hme522-0\" class=\"tb_title_accordion\" aria-controls=\"acc-7hme522-0-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\">Description<\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-7hme522-0-content\" data-id=\"acc-7hme522-0\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                        <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_xjsh542\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_7vfm542 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_uac7542   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p>SAS offers extensive analytics capabilities, including machine learning, deep learning, natural language processing, statistical analysis, optimization, and simulation. SAS analytics are also available through the open, cloud-enabled architecture of SAS\u00ae Viya\u00ae. You can program in SAS or in other languages, including Python, Lua, Java, and R.<\/p>\n<p>This workshop will provide an overview of the SAS analytics portfolio and highlight recently added features, including a new mixed integer nonlinear programming (MINLP) solver and SAS Quantum Lab. Additional topics will include network analytics and the Internet of Things (IoT), with examples that demonstrate how you can use these technologies to solve real-world business and operational challenges.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                    <\/div><!-- .accordion-content -->\n        <\/li>\n        <\/ul>\n\n<\/div><!-- \/module accordion -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-lazy=\"1\" class=\"module_row themify_builder_row tb_8m9j401 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_elgw401 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_icwt401   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3>1:30-2:45PM<\/h3>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"jmpstatisticaldiscovery\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-jmpstatisticaldiscovery tb_o2q396 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 col4-2 tb_dhd596 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_igdw96 image-center   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <a href=\"https:\/\/www.jmp.com\/en\/home\" rel=\"noopener\" target=\"_blank\">\n                   <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/08\/JMP-web_ready_company_logo-300x82.png\" width=\"300\" height=\"82\" class=\"wp-post-image wp-image-12709\" title=\"JMP web_ready_company_logo\" alt=\"JMP web_ready_company_logo\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/08\/JMP-web_ready_company_logo-300x82.png 300w, https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/08\/JMP-web_ready_company_logo.png 557w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/>        <\/a>\n    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-2 tb_yheu96 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_31gc528   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3>Analyzing Multidimensional Data in an Interactive, No-code Environment<\/h3>\n<p><strong>Speaker: Kevin Potcner<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module accordion -->\n<div  class=\"module module-accordion tb_gt3i424 \" data-behavior=\"toggle\" data-lazy=\"1\">\n    \n    <ul class=\"ui module-accordion   tb_default_color\">\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-gt3i424-0\" class=\"tb_title_accordion\" aria-controls=\"acc-gt3i424-0-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\">Description<\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-gt3i424-0-content\" data-id=\"acc-gt3i424-0\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                        <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_yz6q437\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_fgsw437 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_or1h437   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p>Fully analyzing data requires an analyst to generate a wide variety of visualizations, analyses, and models. The insights gleaned from each step leads the analyst to a next set of analyses to try, and so on. This exploratory approach can become cumbersome in a coding environment. Without strong proficiency in programming, students often get frustrated finding themselves unable to run many different analyses and visualization quickly. In this presentation, a statistical scientist from JMP will illustrate how easy it can be to explore multi-dimensional data through interactive visualizations, analyses, and models in a \u201cno code\u201d environment.\u00a0<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                    <\/div><!-- .accordion-content -->\n        <\/li>\n        <\/ul>\n\n<\/div><!-- \/module accordion -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"prospectpress\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-prospectpress tb_g1av537 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 col4-2 tb_y6oc537 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_v0pl267 image-center   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <a href=\"https:\/\/www.prospectpressvt.com\/\" rel=\"noopener\" target=\"_blank\">\n                   <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/08\/prospectpress-logo-300x138.webp\" width=\"300\" height=\"138\" class=\"wp-post-image wp-image-12997\" title=\"prospectpress-logo\" alt=\"prospectpress-logo\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/08\/prospectpress-logo-300x138.webp 300w, https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/08\/prospectpress-logo.webp 256w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/>        <\/a>\n    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-2 tb_01t5537 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_pzko125   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3>Teaching Business Students to Build AI Applications<\/h3>\n<p><strong>Speaker: Tingting \u201cRachel\u201d Chung<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module accordion -->\n<div  class=\"module module-accordion tb_m9jx494 \" data-behavior=\"toggle\" data-lazy=\"1\">\n    \n    <ul class=\"ui module-accordion   tb_default_color\">\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-m9jx494-0\" class=\"tb_title_accordion\" aria-controls=\"acc-m9jx494-0-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\">Description<\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-m9jx494-0-content\" data-id=\"acc-m9jx494-0\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                        <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_7ijm517\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_mita517 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_ly2y517   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p>Rachel Chung will provide an extended presentation of various labs, teaching aids, and challenges in teaching business students to develop AI applications. Learning objectives regarding advancing critical thinking and responsible behavior are covered. This presentation is drawn from her new textbook, &#8220;AI for Business: Building Applications using Python&#8221; from Prospect Press.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                    <\/div><!-- .accordion-content -->\n        <\/li>\n        <\/ul>\n\n<\/div><!-- \/module accordion -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-lazy=\"1\" class=\"module_row themify_builder_row tb_r68z652 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_xum1652 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_c10l652   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3>3-4:15PM<\/h3>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"artelys\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-artelys tb_jvus165 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 col4-2 tb_fjvv165 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_6jsy619 image-center   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <a href=\"https:\/\/www.artelys.com\/\" rel=\"noopener\" target=\"_blank\">\n                   <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/05\/Arteyls2-Copie-logo-300x109.png\" width=\"300\" height=\"109\" class=\"wp-post-image wp-image-11597\" title=\"Arteyls2-Copie-logo\" alt=\"Arteyls2-Copie-logo\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/05\/Arteyls2-Copie-logo-300x109.png 300w, https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/05\/Arteyls2-Copie-logo-768x279.png 768w, https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/05\/Arteyls2-Copie-logo-250x90.png 250w, https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/05\/Arteyls2-Copie-logo.png 787w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/>        <\/a>\n    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-2 tb_83cw165 last\">\n                            <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"gams\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-gams tb_nmhj159 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 col4-2 tb_6zmt159 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_46hi159 image-center   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <a href=\"https:\/\/www.gams.com\/\" rel=\"noopener\" target=\"_blank\">\n                   <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/05\/381961131-GAMS-RESIZED-300x125.jpg\" width=\"300\" height=\"125\" class=\"wp-post-image wp-image-11575\" title=\"381961131-GAMS-RESIZED\" alt=\"381961131-GAMS-RESIZED\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/05\/381961131-GAMS-RESIZED-300x125.jpg 300w, https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/05\/381961131-GAMS-RESIZED.jpg 384w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/>        <\/a>\n    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-2 tb_hmqf159 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_qjz6348   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3>GAMS in Production: Python, Scaling, and Modern Optimization Workflows<\/h3>\n<p><strong>Speakers: Atharv Bhosekar, Adam Christensen, &amp; Steven Dirkse<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module accordion -->\n<div  class=\"module module-accordion tb_utz8194 \" data-behavior=\"toggle\" data-lazy=\"1\">\n    \n    <ul class=\"ui module-accordion   tb_default_color\">\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-utz8194-0\" class=\"tb_title_accordion\" aria-controls=\"acc-utz8194-0-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\">Description<\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-utz8194-0-content\" data-id=\"acc-utz8194-0\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                        <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_dbeg209\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_kf51209 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_nq7o209   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p>This workshop covers how the GAMS ecosystem has evolved to support modern optimization workflows, including integration with Python, cloud deployment, and AI tooling. Presenters will walk through GAMSPy for Python-based modeling, GAMS Connect for moving data between systems, GAMS Engine for scaling computationally demanding models, and MIRO for building web-based interfaces that put optimization results in front of decision-makers. The session also touches on emerging AI integrations where they complement existing workflows. Presenters will also address real trade-offs encountered in production, performance tuning, and maintaining large models over time.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                    <\/div><!-- .accordion-content -->\n        <\/li>\n        <\/ul>\n\n<\/div><!-- \/module accordion -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"gurobi\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-gurobi tb_8hqf562 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 col4-2 tb_z79k562 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_yv39562 image-center   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <a href=\"https:\/\/www.gurobi.com\/\" rel=\"noopener\" target=\"_blank\">\n                   <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/06\/600x150px_Gurobi_Logo_Blue-300x75.jpg\" width=\"300\" height=\"75\" class=\"wp-post-image wp-image-12340\" title=\"600x150px_Gurobi_Logo_Blue\" alt=\"600x150px_Gurobi_Logo_Blue\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/06\/600x150px_Gurobi_Logo_Blue-300x75.jpg 300w, https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/06\/600x150px_Gurobi_Logo_Blue.jpg 600w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/>        <\/a>\n    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-2 tb_xmnz562 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_ki7q140   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3>From Optimization to Intelligence: What&#8217;s New in Gurobi 14 and the Future of AI<\/h3>\n<p><strong>Speakers: Oliver Bastert, Robert Luce, &amp; Lindsay Montanari<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module accordion -->\n<div  class=\"module module-accordion tb_26by365 \" data-behavior=\"toggle\" data-lazy=\"1\">\n    \n    <ul class=\"ui module-accordion   tb_default_color\">\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-26by365-0\" class=\"tb_title_accordion\" aria-controls=\"acc-26by365-0-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\">Description<\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-26by365-0-content\" data-id=\"acc-26by365-0\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                        <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_46ov402\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_qj5h402 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_v2u0403   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p>Discover the latest innovations in Gurobi Optimizer 14 and explore how optimization is evolving alongside generative AI. This interactive session will provide an overview of new capabilities, introduce the Gurobean game, and showcase how Gurobi&#8217;s GAIL team is applying AI to help users solve complex decision-making challenges. Bring your questions for an open discussion with Gurobi experts.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                    <\/div><!-- .accordion-content -->\n        <\/li>\n        <\/ul>\n\n<\/div><!-- \/module accordion -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"hexaly\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-hexaly tb_0m0f487 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 col4-2 tb_1sd7487 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_58gf487 image-center   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <a href=\"https:\/\/www.hexaly.com\/\" rel=\"noopener\" target=\"_blank\">\n                   <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/04\/hexaly-orange.svg\" width=\"300\" height=\"98\" class=\"wp-post-image wp-image-11501\" title=\"hexaly-orange\" alt=\"hexaly-orange\">        <\/a>\n    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-2 tb_57u1487 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_n8u2123   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3>Hexaly, Beyond Traditional MIP<\/h3>\n<p><strong>Speaker: Fred Gardi<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module accordion -->\n<div  class=\"module module-accordion tb_vesl68 \" data-behavior=\"toggle\" data-lazy=\"1\">\n    \n    <ul class=\"ui module-accordion   tb_default_color\">\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-vesl68-0\" class=\"tb_title_accordion\" aria-controls=\"acc-vesl68-0-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\">Description<\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-vesl68-0-content\" data-id=\"acc-vesl68-0\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                        <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_c2d585\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_qccx85 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_7y7585   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p>Mixed-Integer Programming (MIP) has been the dominant optimization framework in Operations Research for several decades. While highly effective, classical MIP formulations can become increasingly difficult to express and solve as problems grow in scale and structural complexity, particularly in domains such as routing, scheduling, and packing.<br><br>Hexaly is a next-generation optimization solver designed to extend the scope of traditional MIP. Rather than relying solely on linearization and standard branch-and-bound workflows, it provides a unified framework for modeling and solving combinatorial and nonlinear problems in a more natural way. By integrating techniques from MIP, constraint programming, nonlinear optimization, and black-box optimization within a single engine, Hexaly enables more expressive models while maintaining high solution quality and scalable performance.<br><br>This talk will feature the key principles behind this approach, with a focus on large-scale discrete optimization problems where Hexaly performs best, such as routing, scheduling, and packing. It will also show how this extended modeling framework enables problems to be formulated more closely to their underlying structure, while allowing diverse algorithmic components to interact in a complementary manner. Finally, selected benchmark results will illustrate the practical impact of this approach.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                    <\/div><!-- .accordion-content -->\n        <\/li>\n        <\/ul>\n\n<\/div><!-- \/module accordion -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-lazy=\"1\" class=\"module_row themify_builder_row tb_ppcf82 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_j1jv82 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_906382   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3>4:30-5:45PM<\/h3>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"ampl\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-ampl tb_jpnb821 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 col4-2 tb_xiwz821 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_5ucx821 image-center   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <a href=\"https:\/\/ampl.com\/\" rel=\"noopener\" target=\"_blank\">\n                   <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/05\/391989549-ampl_logo_inline-300x93.png\" width=\"300\" height=\"93\" class=\"wp-post-image wp-image-11767\" title=\"391989549-ampl_logo_inline\" alt=\"391989549-ampl_logo_inline\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/05\/391989549-ampl_logo_inline-300x93.png 300w, https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/05\/391989549-ampl_logo_inline-768x238.png 768w, https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/05\/391989549-ampl_logo_inline.png 863w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/>        <\/a>\n    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-2 tb_xb4b821 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_twvr307   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3>Getting Optimization into Production with AMPL: From Prototype Models to Operational Decision Systems<\/h3>\n<p><strong>Speakers: Juan Bohorquez &amp; Christian Valente<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module accordion -->\n<div  class=\"module module-accordion tb_u4fh732 \" data-behavior=\"toggle\" data-lazy=\"1\">\n    \n    <ul class=\"ui module-accordion   tb_default_color\">\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-u4fh732-0\" class=\"tb_title_accordion\" aria-controls=\"acc-u4fh732-0-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\">Description<\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-u4fh732-0-content\" data-id=\"acc-u4fh732-0\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                        <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_1 tb_pwpv747\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column tb_urwu747 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_8yqi747   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p>Optimization models often start as compact prototypes, but translating them into operational systems introduces significant challenges in scalability, system integration, and solver performance. Using a power generation portfolio optimization example, this workshop demonstrates how to bridge the gap between initial prototypes and production-ready decision applications using AMPL. Starting with a basic linear programming formulation, we progressively expand it toward a realistic industry application, addressing common production barriers such as feasibility management, workflow maintainability, and computational speed. Attendees will explore practical modeling patterns, solver strategies, and integration architectures to overcome deployment bottlenecks and build reliable decision support workflows.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n                    <\/div><!-- .accordion-content -->\n        <\/li>\n        <\/ul>\n\n<\/div><!-- \/module accordion -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"probabilitymanagement\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-probabilitymanagement tb_b2ui239 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 col4-2 tb_6f7q239 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_vxlw158 image-center   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <a href=\"https:\/\/www.probabilitymanagement.org\/\" rel=\"noopener\" target=\"_blank\">\n                   <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/08\/PM_logo_transparent-1024x368-300x107.webp\" width=\"300\" height=\"107\" class=\"wp-post-image wp-image-13000\" title=\"PM_logo_transparent\" alt=\"PM_logo_transparent\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/08\/PM_logo_transparent-1024x368-300x107.webp 300w, https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/08\/PM_logo_transparent-1024x368.webp 1024w, https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/08\/PM_logo_transparent-768x276.webp 768w, https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/08\/PM_logo_transparent.webp 1500w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/>        <\/a>\n    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-2 tb_o70v239 last\">\n                            <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"responsivelearning\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-responsivelearning tb_x4cm105 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 col4-2 tb_mcao105 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_rzvv105 image-center   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <a href=\"https:\/\/responsive.net\/\" rel=\"noopener\" target=\"_blank\">\n                   <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/05\/RLT-company_logo-300x106.png\" width=\"300\" height=\"106\" class=\"wp-post-image wp-image-11768\" title=\"RLT company_logo\" alt=\"RLT company_logo\">        <\/a>\n    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-2 tb_o70g105 last\">\n                            <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-lazy=\"1\" class=\"module_row themify_builder_row tb_mid6381 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 col4-2 tb_1zg9381 first\">\n                            <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-2 tb_gsft381 last\">\n                            <\/div>\n                        <\/div>\n        <\/div>\n        <\/div>\n<!--\/themify_builder_content-->","protected":false},"excerpt":{"rendered":"<p>Exhibitor Workshops<\/p>\n","protected":false},"author":46,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"class_list":["post-11764","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>Exhibitor Workshops &#187; 2026 INFORMS Annual Meeting<\/title>\n<meta name=\"description\" content=\"All Exhibitor Workshops will be held in Moscone Center South on Saturday, October 31 during the 2026 INFORMS Annual Meeting.\" \/>\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\/annual\/exhibitor-workshops\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Exhibitor Workshops\" \/>\n<meta property=\"og:description\" content=\"All Exhibitor Workshops will be held in Moscone Center South on Saturday, October 31 during the 2026 INFORMS Annual Meeting.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/meetings.informs.org\/wordpress\/annual\/exhibitor-workshops\/\" \/>\n<meta property=\"og:site_name\" content=\"2026 INFORMS Annual Meeting\" \/>\n<meta property=\"article:modified_time\" content=\"2026-09-11T14:35:50+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/06\/sas-logo-blue.png\" \/>\n\t<meta property=\"og:image:width\" content=\"600\" \/>\n\t<meta property=\"og:image:height\" content=\"248\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/meetings.informs.org\/wordpress\/annual\/exhibitor-workshops\/\",\"url\":\"https:\/\/meetings.informs.org\/wordpress\/annual\/exhibitor-workshops\/\",\"name\":\"Exhibitor Workshops &#187; 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2026 INFORMS Annual Meeting","description":"All Exhibitor Workshops will be held in Moscone Center South on Saturday, October 31 during the 2026 INFORMS Annual Meeting.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/meetings.informs.org\/wordpress\/annual\/exhibitor-workshops\/","og_locale":"en_US","og_type":"article","og_title":"Exhibitor Workshops","og_description":"All Exhibitor Workshops will be held in Moscone Center South on Saturday, October 31 during the 2026 INFORMS Annual Meeting.","og_url":"https:\/\/meetings.informs.org\/wordpress\/annual\/exhibitor-workshops\/","og_site_name":"2026 INFORMS Annual Meeting","article_modified_time":"2026-09-11T14:35:50+00:00","og_image":[{"width":600,"height":248,"url":"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/06\/sas-logo-blue.png","type":"image\/png"}],"twitter_card":"summary_large_image","twitter_misc":{"Est. reading time":"4 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/meetings.informs.org\/wordpress\/annual\/exhibitor-workshops\/","url":"https:\/\/meetings.informs.org\/wordpress\/annual\/exhibitor-workshops\/","name":"Exhibitor Workshops &#187; 2026 INFORMS Annual Meeting","isPartOf":{"@id":"https:\/\/meetings.informs.org\/wordpress\/annual\/#website"},"primaryImageOfPage":{"@id":"https:\/\/meetings.informs.org\/wordpress\/annual\/exhibitor-workshops\/#primaryimage"},"image":{"@id":"https:\/\/meetings.informs.org\/wordpress\/annual\/exhibitor-workshops\/#primaryimage"},"thumbnailUrl":"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/06\/sas-logo-blue-300x124.png","datePublished":"2026-08-13T14:33:52+00:00","dateModified":"2026-09-11T14:35:50+00:00","description":"All Exhibitor Workshops will be held in Moscone Center South on Saturday, October 31 during the 2026 INFORMS Annual Meeting.","breadcrumb":{"@id":"https:\/\/meetings.informs.org\/wordpress\/annual\/exhibitor-workshops\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/meetings.informs.org\/wordpress\/annual\/exhibitor-workshops\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/meetings.informs.org\/wordpress\/annual\/exhibitor-workshops\/#primaryimage","url":"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/06\/sas-logo-blue.png","contentUrl":"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/06\/sas-logo-blue.png","width":600,"height":248},{"@type":"BreadcrumbList","@id":"https:\/\/meetings.informs.org\/wordpress\/annual\/exhibitor-workshops\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/meetings.informs.org\/wordpress\/annual\/"},{"@type":"ListItem","position":2,"name":"Exhibitor Workshops"}]},{"@type":"WebSite","@id":"https:\/\/meetings.informs.org\/wordpress\/annual\/#website","url":"https:\/\/meetings.informs.org\/wordpress\/annual\/","name":"2026 INFORMS Annual Meeting","description":"November 1-4, 2026 | San Francisco, CA","publisher":{"@id":"https:\/\/meetings.informs.org\/wordpress\/annual\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/meetings.informs.org\/wordpress\/annual\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/meetings.informs.org\/wordpress\/annual\/#organization","name":"2026 INFORMS Annual Meeting","url":"https:\/\/meetings.informs.org\/wordpress\/annual\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/meetings.informs.org\/wordpress\/annual\/#\/schema\/logo\/image\/","url":"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2025\/10\/cropped-2026_INFORMS_Annual_Meeting_Logo.png","contentUrl":"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2025\/10\/cropped-2026_INFORMS_Annual_Meeting_Logo.png","width":512,"height":512,"caption":"2026 INFORMS Annual Meeting"},"image":{"@id":"https:\/\/meetings.informs.org\/wordpress\/annual\/#\/schema\/logo\/image\/"}}]}},"builder_content":"<h1>Exhibitor Workshops<\/h1>\n<p>Take advantage of these complimentary, pre-meeting Exhibitor Workshops for hands-on demonstrations of the latest industry products and software. All full conference registrants are welcome to preregister or join on site. You\u2019ll be able to add these preconference workshops to your current registration in September.<\/p> <p>All Exhibitor Workshops will be held in Moscone Center South on <b>Saturday, October 31<\/b>.<\/p> <h3 style=\"text-align: left\"><strong>Additional details coming soon!<\/strong><\/h3>\n<h3>9-10:15AM<\/h3>\n<h3>10:30-11:45AM<\/h3>\n<a href=\"https:\/\/www.sas.com\/en_us\/home.html#\" rel=\"noopener\" target=\"_blank\"> <img src=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/06\/sas-logo-blue-300x124.png\" width=\"300\" height=\"124\" title=\"sas-logo-blue\" alt=\"sas-logo-blue\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/06\/sas-logo-blue-300x124.png 300w, https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/06\/sas-logo-blue-250x103.png 250w, https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/06\/sas-logo-blue.png 600w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/> <\/a>\n<h3>SAS Optimization, Quantum Computing, Network Analytics, and IoT<\/h3> <p><strong>Speakers:\u00a0Rob Pratt,\u00a0Amy Becker, &amp;\u00a0Yonggui Yan<\/strong><\/p>\n<ul><li><h4>Description<\/h4><p>SAS offers extensive analytics capabilities, including machine learning, deep learning, natural language processing, statistical analysis, optimization, and simulation. SAS analytics are also available through the open, cloud-enabled architecture of SAS\u00ae Viya\u00ae. You can program in SAS or in other languages, including Python, Lua, Java, and R.<\/p> <p>This workshop will provide an overview of the SAS analytics portfolio and highlight recently added features, including a new mixed integer nonlinear programming (MINLP) solver and SAS Quantum Lab. Additional topics will include network analytics and the Internet of Things (IoT), with examples that demonstrate how you can use these technologies to solve real-world business and operational challenges.<\/p><\/li><\/ul>\n<p>SAS offers extensive analytics capabilities, including machine learning, deep learning, natural language processing, statistical analysis, optimization, and simulation. SAS analytics are also available through the open, cloud-enabled architecture of SAS\u00ae Viya\u00ae. You can program in SAS or in other languages, including Python, Lua, Java, and R.<\/p> <p>This workshop will provide an overview of the SAS analytics portfolio and highlight recently added features, including a new mixed integer nonlinear programming (MINLP) solver and SAS Quantum Lab. Additional topics will include network analytics and the Internet of Things (IoT), with examples that demonstrate how you can use these technologies to solve real-world business and operational challenges.<\/p>\n<h3>12-1:15PM<\/h3>\n<h3>1:30-2:45PM<\/h3>\n<a href=\"https:\/\/www.jmp.com\/en\/home\" rel=\"noopener\" target=\"_blank\"> <img src=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/08\/JMP-web_ready_company_logo-300x82.png\" width=\"300\" height=\"82\" title=\"JMP web_ready_company_logo\" alt=\"JMP web_ready_company_logo\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/08\/JMP-web_ready_company_logo-300x82.png 300w, https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/08\/JMP-web_ready_company_logo.png 557w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/> <\/a>\n<h3>Analyzing Multidimensional Data in an Interactive, No-code Environment<\/h3> <p><strong>Speaker: Kevin Potcner<\/strong><\/p>\n<ul><li><h4>Description<\/h4><p>Fully analyzing data requires an analyst to generate a wide variety of visualizations, analyses, and models. The insights gleaned from each step leads the analyst to a next set of analyses to try, and so on. This exploratory approach can become cumbersome in a coding environment. Without strong proficiency in programming, students often get frustrated finding themselves unable to run many different analyses and visualization quickly. In this presentation, a statistical scientist from JMP will illustrate how easy it can be to explore multi-dimensional data through interactive visualizations, analyses, and models in a \u201cno code\u201d environment.\u00a0<\/p><\/li><\/ul>\n<p>Fully analyzing data requires an analyst to generate a wide variety of visualizations, analyses, and models. The insights gleaned from each step leads the analyst to a next set of analyses to try, and so on. This exploratory approach can become cumbersome in a coding environment. Without strong proficiency in programming, students often get frustrated finding themselves unable to run many different analyses and visualization quickly. In this presentation, a statistical scientist from JMP will illustrate how easy it can be to explore multi-dimensional data through interactive visualizations, analyses, and models in a \u201cno code\u201d environment.\u00a0<\/p>\n<a href=\"https:\/\/www.prospectpressvt.com\/\" rel=\"noopener\" target=\"_blank\"> <img src=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/08\/prospectpress-logo-300x138.webp\" width=\"300\" height=\"138\" title=\"prospectpress-logo\" alt=\"prospectpress-logo\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/08\/prospectpress-logo-300x138.webp 300w, https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/08\/prospectpress-logo.webp 256w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/> <\/a>\n<h3>Teaching Business Students to Build AI Applications<\/h3> <p><strong>Speaker: Tingting \u201cRachel\u201d Chung<\/strong><\/p>\n<ul><li><h4>Description<\/h4><p>Rachel Chung will provide an extended presentation of various labs, teaching aids, and challenges in teaching business students to develop AI applications. Learning objectives regarding advancing critical thinking and responsible behavior are covered. This presentation is drawn from her new textbook, \"AI for Business: Building Applications using Python\" from Prospect Press.<\/p><\/li><\/ul>\n<p>Rachel Chung will provide an extended presentation of various labs, teaching aids, and challenges in teaching business students to develop AI applications. Learning objectives regarding advancing critical thinking and responsible behavior are covered. This presentation is drawn from her new textbook, \"AI for Business: Building Applications using Python\" from Prospect Press.<\/p>\n<h3>3-4:15PM<\/h3>\n<a href=\"https:\/\/www.artelys.com\/\" rel=\"noopener\" target=\"_blank\"> <img src=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/05\/Arteyls2-Copie-logo-300x109.png\" width=\"300\" height=\"109\" title=\"Arteyls2-Copie-logo\" alt=\"Arteyls2-Copie-logo\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/05\/Arteyls2-Copie-logo-300x109.png 300w, https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/05\/Arteyls2-Copie-logo-768x279.png 768w, https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/05\/Arteyls2-Copie-logo-250x90.png 250w, https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/05\/Arteyls2-Copie-logo.png 787w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/> <\/a>\n<a href=\"https:\/\/www.gams.com\/\" rel=\"noopener\" target=\"_blank\"> <img src=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/05\/381961131-GAMS-RESIZED-300x125.jpg\" width=\"300\" height=\"125\" title=\"381961131-GAMS-RESIZED\" alt=\"381961131-GAMS-RESIZED\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/05\/381961131-GAMS-RESIZED-300x125.jpg 300w, https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/05\/381961131-GAMS-RESIZED.jpg 384w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/> <\/a>\n<h3>GAMS in Production: Python, Scaling, and Modern Optimization Workflows<\/h3> <p><strong>Speakers: Atharv Bhosekar, Adam Christensen, &amp; Steven Dirkse<\/strong><\/p>\n<ul><li><h4>Description<\/h4><p>This workshop covers how the GAMS ecosystem has evolved to support modern optimization workflows, including integration with Python, cloud deployment, and AI tooling. Presenters will walk through GAMSPy for Python-based modeling, GAMS Connect for moving data between systems, GAMS Engine for scaling computationally demanding models, and MIRO for building web-based interfaces that put optimization results in front of decision-makers. The session also touches on emerging AI integrations where they complement existing workflows. Presenters will also address real trade-offs encountered in production, performance tuning, and maintaining large models over time.<\/p><\/li><\/ul>\n<p>This workshop covers how the GAMS ecosystem has evolved to support modern optimization workflows, including integration with Python, cloud deployment, and AI tooling. Presenters will walk through GAMSPy for Python-based modeling, GAMS Connect for moving data between systems, GAMS Engine for scaling computationally demanding models, and MIRO for building web-based interfaces that put optimization results in front of decision-makers. The session also touches on emerging AI integrations where they complement existing workflows. Presenters will also address real trade-offs encountered in production, performance tuning, and maintaining large models over time.<\/p>\n<a href=\"https:\/\/www.gurobi.com\/\" rel=\"noopener\" target=\"_blank\"> <img src=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/06\/600x150px_Gurobi_Logo_Blue-300x75.jpg\" width=\"300\" height=\"75\" title=\"600x150px_Gurobi_Logo_Blue\" alt=\"600x150px_Gurobi_Logo_Blue\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/06\/600x150px_Gurobi_Logo_Blue-300x75.jpg 300w, https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/06\/600x150px_Gurobi_Logo_Blue.jpg 600w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/> <\/a>\n<h3>From Optimization to Intelligence: What's New in Gurobi 14 and the Future of AI<\/h3> <p><strong>Speakers: Oliver Bastert, Robert Luce, &amp; Lindsay Montanari<\/strong><\/p>\n<ul><li><h4>Description<\/h4><p>Discover the latest innovations in Gurobi Optimizer 14 and explore how optimization is evolving alongside generative AI. This interactive session will provide an overview of new capabilities, introduce the Gurobean game, and showcase how Gurobi's GAIL team is applying AI to help users solve complex decision-making challenges. Bring your questions for an open discussion with Gurobi experts.<\/p><\/li><\/ul>\n<p>Discover the latest innovations in Gurobi Optimizer 14 and explore how optimization is evolving alongside generative AI. This interactive session will provide an overview of new capabilities, introduce the Gurobean game, and showcase how Gurobi's GAIL team is applying AI to help users solve complex decision-making challenges. Bring your questions for an open discussion with Gurobi experts.<\/p>\n<a href=\"https:\/\/www.hexaly.com\/\" rel=\"noopener\" target=\"_blank\"> <img src=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/04\/hexaly-orange.svg\" width=\"300\" height=\"98\" title=\"hexaly-orange\" alt=\"hexaly-orange\"> <\/a>\n<h3>Hexaly, Beyond Traditional MIP<\/h3> <p><strong>Speaker: Fred Gardi<\/strong><\/p>\n<ul><li><h4>Description<\/h4><p>Mixed-Integer Programming (MIP) has been the dominant optimization framework in Operations Research for several decades. While highly effective, classical MIP formulations can become increasingly difficult to express and solve as problems grow in scale and structural complexity, particularly in domains such as routing, scheduling, and packing.<br><br>Hexaly is a next-generation optimization solver designed to extend the scope of traditional MIP. Rather than relying solely on linearization and standard branch-and-bound workflows, it provides a unified framework for modeling and solving combinatorial and nonlinear problems in a more natural way. By integrating techniques from MIP, constraint programming, nonlinear optimization, and black-box optimization within a single engine, Hexaly enables more expressive models while maintaining high solution quality and scalable performance.<br><br>This talk will feature the key principles behind this approach, with a focus on large-scale discrete optimization problems where Hexaly performs best, such as routing, scheduling, and packing. It will also show how this extended modeling framework enables problems to be formulated more closely to their underlying structure, while allowing diverse algorithmic components to interact in a complementary manner. Finally, selected benchmark results will illustrate the practical impact of this approach.<\/p><\/li><\/ul>\n<p>Mixed-Integer Programming (MIP) has been the dominant optimization framework in Operations Research for several decades. While highly effective, classical MIP formulations can become increasingly difficult to express and solve as problems grow in scale and structural complexity, particularly in domains such as routing, scheduling, and packing.<br><br>Hexaly is a next-generation optimization solver designed to extend the scope of traditional MIP. Rather than relying solely on linearization and standard branch-and-bound workflows, it provides a unified framework for modeling and solving combinatorial and nonlinear problems in a more natural way. By integrating techniques from MIP, constraint programming, nonlinear optimization, and black-box optimization within a single engine, Hexaly enables more expressive models while maintaining high solution quality and scalable performance.<br><br>This talk will feature the key principles behind this approach, with a focus on large-scale discrete optimization problems where Hexaly performs best, such as routing, scheduling, and packing. It will also show how this extended modeling framework enables problems to be formulated more closely to their underlying structure, while allowing diverse algorithmic components to interact in a complementary manner. Finally, selected benchmark results will illustrate the practical impact of this approach.<\/p>\n<h3>4:30-5:45PM<\/h3>\n<a href=\"https:\/\/ampl.com\/\" rel=\"noopener\" target=\"_blank\"> <img src=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/05\/391989549-ampl_logo_inline-300x93.png\" width=\"300\" height=\"93\" title=\"391989549-ampl_logo_inline\" alt=\"391989549-ampl_logo_inline\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/05\/391989549-ampl_logo_inline-300x93.png 300w, https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/05\/391989549-ampl_logo_inline-768x238.png 768w, https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/05\/391989549-ampl_logo_inline.png 863w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/> <\/a>\n<h3>Getting Optimization into Production with AMPL: From Prototype Models to Operational Decision Systems<\/h3> <p><strong>Speakers: Juan Bohorquez &amp; Christian Valente<\/strong><\/p>\n<ul><li><h4>Description<\/h4><p>Optimization models often start as compact prototypes, but translating them into operational systems introduces significant challenges in scalability, system integration, and solver performance. Using a power generation portfolio optimization example, this workshop demonstrates how to bridge the gap between initial prototypes and production-ready decision applications using AMPL. Starting with a basic linear programming formulation, we progressively expand it toward a realistic industry application, addressing common production barriers such as feasibility management, workflow maintainability, and computational speed. Attendees will explore practical modeling patterns, solver strategies, and integration architectures to overcome deployment bottlenecks and build reliable decision support workflows.<\/p><\/li><\/ul>\n<p>Optimization models often start as compact prototypes, but translating them into operational systems introduces significant challenges in scalability, system integration, and solver performance. Using a power generation portfolio optimization example, this workshop demonstrates how to bridge the gap between initial prototypes and production-ready decision applications using AMPL. Starting with a basic linear programming formulation, we progressively expand it toward a realistic industry application, addressing common production barriers such as feasibility management, workflow maintainability, and computational speed. Attendees will explore practical modeling patterns, solver strategies, and integration architectures to overcome deployment bottlenecks and build reliable decision support workflows.<\/p>\n<a href=\"https:\/\/www.probabilitymanagement.org\/\" rel=\"noopener\" target=\"_blank\"> <img src=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/08\/PM_logo_transparent-1024x368-300x107.webp\" width=\"300\" height=\"107\" title=\"PM_logo_transparent\" alt=\"PM_logo_transparent\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/08\/PM_logo_transparent-1024x368-300x107.webp 300w, https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/08\/PM_logo_transparent-1024x368.webp 1024w, https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/08\/PM_logo_transparent-768x276.webp 768w, https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/08\/PM_logo_transparent.webp 1500w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/> <\/a>\n<a href=\"https:\/\/responsive.net\/\" rel=\"noopener\" target=\"_blank\"> <img src=\"https:\/\/meetings.informs.org\/wordpress\/annual\/files\/2026\/05\/RLT-company_logo-300x106.png\" width=\"300\" height=\"106\" title=\"RLT company_logo\" alt=\"RLT company_logo\"> <\/a>","_links":{"self":[{"href":"https:\/\/meetings.informs.org\/wordpress\/annual\/wp-json\/wp\/v2\/pages\/11764","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/meetings.informs.org\/wordpress\/annual\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/meetings.informs.org\/wordpress\/annual\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/annual\/wp-json\/wp\/v2\/users\/46"}],"replies":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/annual\/wp-json\/wp\/v2\/comments?post=11764"}],"version-history":[{"count":109,"href":"https:\/\/meetings.informs.org\/wordpress\/annual\/wp-json\/wp\/v2\/pages\/11764\/revisions"}],"predecessor-version":[{"id":13330,"href":"https:\/\/meetings.informs.org\/wordpress\/annual\/wp-json\/wp\/v2\/pages\/11764\/revisions\/13330"}],"wp:attachment":[{"href":"https:\/\/meetings.informs.org\/wordpress\/annual\/wp-json\/wp\/v2\/media?parent=11764"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}