{"id":1467,"date":"2023-06-16T15:08:58","date_gmt":"2023-06-16T15:08:58","guid":{"rendered":"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/?page_id=1467"},"modified":"2023-10-08T23:21:47","modified_gmt":"2023-10-08T23:21:47","slug":"exhibitor-workshops","status":"publish","type":"page","link":"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/exhibitor-workshops\/","title":{"rendered":"Exhibitor Workshops"},"content":{"rendered":"<!--themify_builder_content-->\n<div id=\"themify_builder_content-1467\" data-postid=\"1467\" class=\"themify_builder_content themify_builder_content-1467 themify_builder tf_clear\">\n                    <div  data-lazy=\"1\" class=\"module_row themify_builder_row tb_8gwu122 tb_first 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_4va1123 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_7uqe709   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p>Take advantage of these pre-conference exhibitor workshops on for a hands-on demonstration of the latest industry products and software. All attendees are welcome to join onsite or pre-register. If you\u2019ve already registered for the Annual Meeting, you can add workshops by editing your record. <span style=\"font-weight: bold;\">All Exhibitor Workshops will be held in the Phoenix Convention Center on Saturday, October 14.<\/span><\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"aizoth\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-aizoth tb_9l8u394 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_rwca394 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_gssj394   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>10-12:30pm<br \/><\/strong><strong>Location: CC-North 121 A<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-2 tb_ic4n395 last\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_ig8r381 image-top   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/AIZOTH-logo-1024x252-250x61.png\" width=\"250\" height=\"61\" class=\"wp-post-image wp-image-2783\" title=\"AIZOTH logo\" alt=\"AIZOTH logo\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/AIZOTH-logo-1024x252-250x61.png 250w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/AIZOTH-logo-300x74.png 300w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/AIZOTH-logo-1024x252.png 1024w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/AIZOTH-logo-768x189.png 768w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/AIZOTH-logo-1024x252-251x61.png 251w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/AIZOTH-logo.png 1047w\" sizes=\"auto, (max-width: 250px) 100vw, 250px\" \/>    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image --><!-- module text -->\n<div  class=\"module module-text tb_etmk304   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>Multi-Sigma: an Integrated AI Platform of Prediction and Optimization for Multiple Target Objectives Simultaneously<\/h2>\n<p>Presented by: Kotaro Kawajiri<\/p>\n<p>AIZOTH provides AI services such as Multi-Sigma, AI consulting, spot support to optimize manufacturing conditions, and commissioned R&amp;D. Multi-Sigma is the cloud-based AI software for R&amp;D to reduce the effort of experiment drastically and also to help researchers finding the innovative solutions for their actual problems with minimum experimental dataset. Multi-Sigma was already introduced by large manufacturing enterprises and top universities. We will demonstrate how a Multi-Sigma can be used with sample datasets.<\/p>\n<p>Key features of Multi-Sigma:<\/p>\n<p><ul><li>Numerical analysis using deep learning: Deep learning techniques of both neural network and Bayesian optimization can be used with minimum dataset. High precision prediction of multiple objective variables. Factor analysis using sensitivity analysis for explainable AI. Multi-objective optimization in trade-off (maximization, minimization, target value, tailor-made optimization, constraint of explanatory variables). It can handle a large number of explanatory variables (up to 200) and objective variables (up to 100),<\/li><\/ul><\/p><p><ul><li>No-code cloud-based software: Multi-Sigma is the advanced cloud-based AI platform which can be used with no-code on the browser. Anyone can use Multi-Sigma anytime, anywhere, and by any hardware (even by smartphones).<\/li><\/ul><\/p><p><ul><li>Innovative Design of Experiment using Artificial Intelligence (AI-DOE): Researchers can utilize our &#8216;AI-DOE&#8217; techniques easily on Multi-Sigma. AI-DOE is developed by incorporating AI techniques into the traditional DOE basing on statistics. It can guides researchers to find the optimal solution for multi-input and multi-objective systems.<\/li><\/ul><\/p><p><ul><li>Versatility: Multi-Sigma can be utilized for any issue of R&amp;D. Main users are manufacturing companies such as automobile, chemical, pharmaceutical companies. Also it can be used for management issues such as prediction of sales, marketing, and inventory management. Tailor-made optimization is the brand-new techniques with great potential in the field of medical care, material science, and sales management.<\/li><\/ul><\/p>    <\/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_k6mj490 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_c1zt490 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_ipon490   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>1-3:30pm<br \/><\/strong><strong>Location: CC-North 121 A<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-2 tb_mx1w490 last\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_kzxe490 image-top   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/07\/web_ready_company_logo-AMPL_logo_web_ready-250x75.png\" width=\"250\" height=\"75\" class=\"wp-post-image wp-image-1821\" title=\"Exhibitor Workshops\" alt=\"Exhibitor Workshops\">    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image --><!-- module text -->\n<div  class=\"module module-text tb_xy9w490   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>Teaching, Learning, and Applying Optimization: New Developments in the AMPL Modeling System<\/h2>\n<p>Presented by: Filipe Brand\u00e3o and Robert Fourer<\/p>\n<p>Optimization is the most widely adopted technology of Operations Research and Analytics, yet it must steadily evolve to remain relevant. After an introductory example, this presentation takes you on a tour through new developments in the AMPL modeling language and system that have been changing the ways that people learn and apply large-scale optimization:<\/p>\n<ul>\n<li>A new approach to connecting the modeling language to solvers, which lets you write many common logical conditions and \u201cnot quite linear\u201d functions in a much more natural way, avoiding complicated and error-prone reformulations.<\/li>\n<li>A Python-first alternative to learning AMPL and model-building, supported by new teaching materials that leverage the power of Jupyter notebooks and Google Colab to bring modern computing to the study of optimization.<\/li>\n<li>Enhancements to the AMPL Python interface (amplpy), including faster data input and closer solver integration, which expand the possibilities for model-based application development.<\/li>\n<\/ul>\n<p>We conclude with deployment examples, showing how Python scripts can be turned quickly into OR and Prescriptive Analytics applications using amplpy, Pandas, and the Streamlit app framework. Deployments are supported on traditional servers and in a variety of modern virtual environments including containers, clusters, and cloud machines.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"datarefiner\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-datarefiner tb_g1e4489 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_nvw7489 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_sitg383   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>1-3:30pm<br \/><\/strong><strong>Location: CC-North 121 B<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-2 tb_2gg7490 last\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_4dx3325 image-top   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img loading=\"lazy\" decoding=\"async\" width=\"1200\" height=\"276\" src=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/DataRefiner-logo.png\" class=\"wp-post-image wp-image-2740\" title=\"DataRefiner logo\" alt=\"DataRefiner logo\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/DataRefiner-logo.png 1200w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/DataRefiner-logo-300x69.png 300w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/DataRefiner-logo-1024x236.png 1024w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/DataRefiner-logo-768x177.png 768w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/DataRefiner-logo-1024x236-231x52.png 231w\" sizes=\"auto, (max-width: 1200px) 100vw, 1200px\" \/>    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image --><!-- module text -->\n<div  class=\"module module-text tb_rr1j50   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>Exploring the use of Topological Data Analysis in Image, Time-series, Text, and Social Media<\/h2>\n<p>Presented by: Edward Kibardin<\/p>\n<p>Using DataRefiner, we\u2019ll tap into Topological Data Analysis (TDA) and deep learning methods. Together, we&#8217;ll navigate data from images, time series, and texts. We&#8217;ll spot complex trends in the data using clustering and identify the links between different aspects of the data using cause discovery techniques. Join to see the TDA analysis of an enormous amount of Reddit comments &#8211; 2,5 billion to be exact.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/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_9lrc860 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_21am860 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_zdvw860   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>1-3:30pm<br \/><\/strong><strong>Location: CC-North 121 C<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-2 tb_el55860 last\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_nitm975 image-top   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img loading=\"lazy\" decoding=\"async\" width=\"1824\" height=\"733\" src=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/06\/GAMS_with-slogan.png\" class=\"wp-post-image wp-image-1474\" alt=\"GAMS will be presenting at the 2023 INFORMS Annual Meeting\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/06\/GAMS_with-slogan.png 1824w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/06\/GAMS_with-slogan-300x121.png 300w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/06\/GAMS_with-slogan-1024x412.png 1024w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/06\/GAMS_with-slogan-768x309.png 768w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/06\/GAMS_with-slogan-1536x617.png 1536w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/06\/GAMS_with-slogan-1024x412-251x100.png 251w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/06\/GAMS_with-slogan-1024x412-249x99.png 249w\" sizes=\"auto, (max-width: 1824px) 100vw, 1824px\" \/>    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image --><!-- module text -->\n<div  class=\"module module-text tb_qywu860   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>Application-building with GAMS: Model Development, Data Transfer, and Deployment<\/h2>\n<p>Presented by: Atharv Bhosekar<\/p>\n<p>The General Algebraic Modeling System (GAMS) allows modelers to create optimization-based decision support applications. In this workshop, our first focus will be on model development with GAMS. We will explore what a model entails, how to solve different problem types (linear, mixed-integer, non-linear) using GAMS, as well as how to switch solvers and separate the model code from input data using GDX. Additionally, we will demonstrate how a GAMS model can be integrated and transformed into an effective application. An essential step in this process is ensuring efficient data transfer. To achieve this, we will showcase the use of the embedded code facility, GAMS Transfer API, and tools like GAMS Connect. Lastly, we will introduce the GAMS Engine, a powerful tool for solving GAMS models either on-premises or in the cloud.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"jd.com\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-jd.com tb_nqb7943 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_88ne943 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_rsn3943   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>1-3:30pm<br \/><\/strong><strong>Location: CC-North 122 A<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-2 tb_2i2c943 last\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_dd2x753 image-top   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/jd-logo-jpg-1024x124-416x49.jpg\" width=\"416\" height=\"49\" class=\"wp-post-image wp-image-3007\" title=\"jd-logo-jpg\" alt=\"jd-logo-jpg\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/jd-logo-jpg-1024x124-416x49.jpg 416w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/jd-logo-jpg-300x36.jpg 300w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/jd-logo-jpg-1024x124.jpg 1024w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/jd-logo-jpg-768x93.jpg 768w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/jd-logo-jpg-1536x186.jpg 1536w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/jd-logo-jpg-2048x248.jpg 2048w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/jd-logo-jpg-1024x124-450x54.jpg 450w\" sizes=\"auto, (max-width: 416px) 100vw, 416px\" \/>    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image --><!-- module text -->\n<div  class=\"module module-text tb_6w0u733   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>Building Sustainable Supply Chain and Logistics: The Case of JD.com<\/h2>\n<p>Presented by: Hau Lee, Yongzhi Qi, and Ningxuan Kang<\/p>\n<p>JD.com is China&#8217;s largest retailer and a global leader. By operating 1500+ warehouses, and fulfilling 90% of customer orders same or next day, JD.com have achieved a very high automation rate end-to-end. As a company also focused on social responsibility, JD.com has made great effort to establish a supply-chain end-to-end mobile carbon emission footprint management platform, which enables JD.com to work better on carbon emissions for its customers and to identify greenhouse gas decarbonization opportunities for e-commerce scenarios. This speech will help you to uncover the potential supply chain sustainability using machine learning, operation research, AI and IOT techniques with real-world cases.<\/p>    <\/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_g34j474 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_1c27474 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_j820474   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>1-3:30pm<br \/><\/strong><strong>Location: CC-North 122 B<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-2 tb_kcwi474 last\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_384h790 image-top   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/08\/web_ready_company_logo-JMP-199x193.png\" width=\"199\" height=\"193\" class=\"wp-post-image wp-image-2518\" title=\"web_ready_company_logo-JMP\" alt=\"web_ready_company_logo-JMP\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/08\/web_ready_company_logo-JMP-199x193.png 199w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/08\/web_ready_company_logo-JMP-197x191.png 197w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/08\/web_ready_company_logo-JMP.png 269w\" sizes=\"auto, (max-width: 199px) 100vw, 199px\" \/>    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image --><!-- module text -->\n<div  class=\"module module-text tb_1qsb474   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>Performing Basic-to-Advanced Statistical Analyses in an Interactive \u201cNo Code\/Low Code\u201d Environment<\/h2>\n<p>Presented by: Kevin Potcner<\/p>\n<p>A statistical scientist from JMP will demonstrate a wide collection of platforms in JMP software for analyzing data and teaching data science in a &#8216;no code&#8217; interactive environment.<\/p>\n<p>Topics will include:<\/p>\n<ul>\n<li>Importing and preparing the data for analysis<\/li>\n<li>Discovering and describing features in univariate and multidimensional data through interactive visualizations<\/li>\n<li>Classic Inference and estimation<\/li>\n<li>Designing and analyzing research experiments<\/li>\n<li>Conducting comparative statistical analyses<\/li>\n<li>Building statistical models for describing relationships and predicting outcomes<\/li>\n<li>Analyzing unstructured text data<\/li>\n<li>Preparing graphs for publication submission<\/li>\n<\/ul>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"nextmv\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-nextmv tb_vsxz452 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_fym3452 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_q08o452   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>1-3:30pm<br \/><\/strong><strong>Location: CC-North 122 C<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-2 tb_pnep452 last\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_exuo917 image-left   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/07\/web_ready_company_logo-nextmv-logo-horizontal-color-250x62.png\" width=\"250\" height=\"62\" class=\"wp-post-image wp-image-1777\" title=\"web_ready_company_logo-nextmv-logo-horizontal-color\" alt=\"web_ready_company_logo-nextmv-logo-horizontal-color\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/07\/web_ready_company_logo-nextmv-logo-horizontal-color-250x62.png 250w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/07\/web_ready_company_logo-nextmv-logo-horizontal-color-300x76.png 300w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/07\/web_ready_company_logo-nextmv-logo-horizontal-color-262x65.png 262w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/07\/web_ready_company_logo-nextmv-logo-horizontal-color.png 600w\" sizes=\"auto, (max-width: 250px) 100vw, 250px\" \/>    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image --><!-- module text -->\n<div  class=\"module module-text tb_8l12923   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>De-risking Decision Model Rollout with Batch, Acceptance, and Shadow Testing<\/h2>\n<p>Presented by: Sebasti\u00e1n Quintero<\/p>\n<p>Isaac Asimov once said, \u201cThe most exciting phrase to hear in science, the one that heralds new discoveries, is not \u2018Eureka!\u2019 but \u2018That\u2019s funny\u2026\u2019\u201d Asmiov\u2019s words speak to the opportunities, curiosities, and showstoppers that surface while building and deploying decision algorithms \u2014 but ideally not before an algorithm impacts production systems. That\u2019s where model testing comes in. Testing is a useful tool for algorithm development teams to avoid expensive mistakes, troubleshoot bugs, establish a repeatable path to production, and give stakeholders confidence in results. How does a new model perform compared to an existing one? How do solutions change as constraints are added or removed? Does the model perform as I\u2019d expect before deploying to production? In this workshop, we\u2019ll explore these questions in addition to walking through the different types of model testing, a framework for bringing them all together, and hands-on examples for how to use and incorporate an optimization model testing toolkit into your OR operations.<\/p>\n    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"provalisresearch\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-provalisresearch tb_kqn9579 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_jeyn580 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_2jt3580   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>1-3:30pm<br \/><\/strong><strong>Location: CC-North 123<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-2 tb_zdfa581 last\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_n3is837 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=\"52\" src=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/06\/exhibitor-logo-provalis-research.png\" class=\"wp-post-image wp-image-1462\" alt=\"Provalis Research is an exhibitor at the 2023 INFORMS Annual Meeting\">    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image --><!-- module text -->\n<div  class=\"module module-text tb_1tpa581   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>Introduction to WordStat Text Analytics<\/h2>\n<p>Presented by: Normand Peladeau<\/p>\n<p><span style=\"background-color: initial; color: #202225;\">Provalis Research CEO Normand Peladeau will identify the main challenges in the analysis of unstructured text data and demonstrates how Provalis Research\u2019s text analytics software WordStat can help you deal with those challenges and analyze large amounts of text data using exploratory text-mining and quantitative content analysis. He will show you how you can quickly and easily explore very large amounts of text data with advanced topic modeling and other techniques as well as how to build and use dictionaries for automated content analysis.<\/span><\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"cocalcbysagemath\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-cocalcbysagemath tb_b1on893 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_2s78894 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_1fqx894   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>4-6:30pm<br \/><\/strong><strong>Location: CC-North 121 A<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-2 tb_24e9894 last\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_herq485 image-top   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img loading=\"lazy\" decoding=\"async\" width=\"367\" height=\"71\" src=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/Cocalc-logo-v7.2-horizontal.png\" class=\"wp-post-image wp-image-2609\" title=\"Cocalc-logo-v7.2-horizontal\" alt=\"Cocalc-logo-v7.2-horizontal\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/Cocalc-logo-v7.2-horizontal.png 367w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/Cocalc-logo-v7.2-horizontal-300x58.png 300w\" sizes=\"auto, (max-width: 367px) 100vw, 367px\" \/>    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image --><!-- module text -->\n<div  class=\"module module-text tb_azrw894   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>A Real-time Collaborative and Cloud-based Open-source Ecosystem with AI<\/h2>\n<p>Presented by: Blaec Bejarano<\/p>\n<p>This workshop serves to highlight a few unique capabilities that CoCalc possesses which enhance the collaborative performance of computational science. This includes a Jupyter integration with OpenAI, computational whiteboard environment (and slideshow mode), version control via TimeTravel, and more.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"fico\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-fico tb_v96o742 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_pjsl742 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_blzg742   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>4-6:30pm<br \/><\/strong><strong>Location: CC-North 121 B<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-2 tb_xv75742 last\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_32e0742 image-top   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/06\/sponsor-logo-fico-249x124.png\" width=\"249\" height=\"124\" class=\"wp-post-image wp-image-1454\" alt=\"FICO is sponsoring the 2023 INFORMS Annual Meeting\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/06\/sponsor-logo-fico-249x124.png 249w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/06\/sponsor-logo-fico-230x116.png 230w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/06\/sponsor-logo-fico.png 168w\" sizes=\"auto, (max-width: 249px) 100vw, 249px\" \/>    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image --><!-- module text -->\n<div  class=\"module module-text tb_fasr742   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>The New Xpress Global Optimization Solver and Other Advances in Optimization<\/h2>\n<p>Presented by: Michael Perregaard, Susanne Heipcke, Jeff Day, and Robert Ashford<\/p>\n<p>This workshop will 1) introduce the new Xpress Global Solver, 2) cover the next generation of features in the Mosel programming language, 3) discuss the ODH MIP accelerator package from Optimization Direct), and 4) describe how Xpress Insight allows you to put the power of your analytical models in the hands of business users in far less time than traditional tools.<\/p>\n<ol>\n<li>The new global optimization engine in the FICO Xpress Solver can solve mixed-integer, nonlinear optimization problems to proven global optimality. Building upon Xpress Nonlinear and its multi-start extension, Global Optimization offers a new solution methodology for nonlinear problems, supporting all kinds of algebraic nonlinearities (powers, exponentials, trigonometrics), in addition to all of the discrete entities that the Xpress Optimizer supports (binaries, integers, indicators, special-ordered sets, piece-wise linear functions).\u00a0<\/li>\n<li>Mosel 6 is a major milestone that reinforces the programming features of the Mosel language. It allows for a more flexible design, implementation, and version management of Mosel packages. Mosel addresses the needs of large-scale application development that we and our clients also demand for non-optimization-based applications. It supports testing systems, debugging functionality, and long-term compatibility management for user and system components. Besides the new programming features, the Mosel 6 series also provides numerous extensions to Mosel&#8217;s optimization capabilities. We will provide examples that illustrate how to use the new Global Solver with Mosel, how to formulate and solve optimization problems with multiple objectives, and extensions to the IIS (Irreducible Infeasible Set) functionality. We will also briefly cover new versions of Mosel open-source components, including new features of the online-doc generation, new data structures, and support for testing.<\/li>\n<li>ODH is a software package from Optimization Direct Inc. that runs concurrently with MIP optimizers like FICO Xpress to accelerate and extend their capabilities for large and difficult optimization models. Using thread synchronization and heuristics like decomposition methods, ODH generates and provides good solutions to the MIP solver, allowing it to converge faster. In tests by Optimization Direct, ODH reduced optimality gaps by 40% on mid-sized models and solved previously unsolved instances from MIPLIB. It is used by customers in scheduling, telecom, retail, logistics, etc. to optimize models that would fail without ODH. By leveraging its synchronization and heuristics, ODH enables MIP solvers to tackle larger and harder real-world optimization problems.<\/li>\n<li>FICO\u00ae Xpress Insight is a rapid application development and deployment framework that integrates with Xpress Solver and your own analytics, enables collaboration across multi-functional teams, and deploys decision support or automated solutions in the cloud or on-premises in far less time than traditional application development tools. We will show how you can rapidly convert Python and Mosel models into complete business applications with Xpress Insight to make your analytical models available to thousands of business users.<\/li>\n<\/ol>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"frontlinesystems\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-frontlinesystems tb_q45q461 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_g76v461 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_mo9d461   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>4-6:30pm<br><\/strong><strong>Location: CC-North 122 B<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-2 tb_bu3z461 last\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_k8pb36 image-top   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/FrontlineSolvers-web_ready_company_logo-1001x1024-200x203.jpg\" width=\"200\" height=\"203\" class=\"wp-post-image wp-image-2965\" title=\"FrontlineSolvers web_ready_company_logo\" alt=\"FrontlineSolvers web_ready_company_logo\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/FrontlineSolvers-web_ready_company_logo-1001x1024-200x203.jpg 200w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/FrontlineSolvers-web_ready_company_logo-768x785.jpg 768w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/FrontlineSolvers-web_ready_company_logo-1001x1024-199x203.jpg 199w\" sizes=\"auto, (max-width: 200px) 100vw, 200px\" \/>    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image --><!-- module text -->\n<div  class=\"module module-text tb_h8m3462   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>Build Analytic Models with Help from AI in RASON and Analytic Solver for Excel<\/h2>\n<p>Presented by: Daniel Fylstra<\/p>\n<p>This workshop will highlight what\u2019s new in Analytic Solver\u00ae for Excel and RASON\u00ae, our cloud platform and high-level modeling language for your full range of analytics \u2013 optimization, simulation, machine learning, and business rules. See how you can use our integrated, ChatGPT-powered AI Agent, trained on thousands of pages of our guides, to learn new software features and more easily create models.<\/p>\n<p>We\u2019ll show how RASON helps you connect models to cloud data sources, use different model types together in multi-stage decision flows (without writing code), schedule automated data updates and model solves, run models \u201con demand\u201d, access results from low-code \/ no-code tools like Power Apps, Power Automate and Power BI, track model versions, runs, and resource usage, and leverage Azure cyber security features to create a modern \u201czero trust\u201d solution.<\/p>\n<p>As a bonus, you\u2019ll see our patent-pending, fully automated risk analysis of machine learning models \u2013 easy to use in RASON, in Excel with Analytic Solver, and in C++, C#, Java, Python and R with Solver SDK\u00ae. (If you miss this, check our tutorial session!) See if you agree that this will become the new best practice for machine learning model development and evaluation.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"gurobioptimization\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-gurobioptimization tb_fvg90 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_gcq40 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_r8sp0   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>4-6:30pm<br \/><\/strong><strong>Location: CC-North 126 B<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-2 tb_7mti0 last\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_5b7u282 image-top   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/07\/Gurobi-Logo2-250x65.png\" width=\"250\" height=\"65\" class=\"wp-post-image wp-image-1907\" alt=\"Gurobi Optimization\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/07\/Gurobi-Logo2-250x66.png 250w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/07\/Gurobi-Logo2.png 280w\" sizes=\"auto, (max-width: 250px) 100vw, 250px\" \/>    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image --><!-- module text -->\n<div  class=\"module module-text tb_tz7n0   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>Gurobi 11.0 &#8211; Helping You to Build, Solve, and Deploy Optimization Models<\/h2>\n<p>Presented by:\u00a0Zonghao Gu, Ed Klotz, Rodrigo Fuentes, Cara Touretzky, Dan Steffy, and Lindsay Montanari<\/p>\n<p>Regardless of whether you are an experienced mathematical optimization practitioner, a newcomer interested in better understanding the potential of mathematical optimization in your organization, or somewhere in between, this workshop has something for you.<\/p>\n<p>Attendees will get a first look at our latest product release,\u202fGurobi\u202f11.0\u2014including exciting\u202fperformance improvements to\u202fGurobi\u2019s\u202fcore algorithms and additional support for nonlinear functions.\u00a0The latter includes direct support of general nonlinear functions beyond the piecewise linear approximations provided in previous versions. The workshop will also include an interactive panel discussion \u201c<strong>From skepticism to success: getting buy-in for optimization projects\u201d<\/strong>\u00a0with optimization experts across academia, industries, and\u202fGurobi.<\/p>\n<p>The Gurobi team will also be presenting a live demo of <a href=\"https:\/\/github.com\/Gurobi\/gurobi-optimods\">OptiMods<\/a>, an open-source project that provides Python users with high-level access to optimization capabilities. Developed by the Gurobi Tech teams, the project aims to put optimization in the hands of more people\u2014especially those without prior knowledge of optimization and mathematical modeling.\u00a0 While primarily intended for newcomers, experienced optimization practitioners may gain insights on obtaining acceptance of optimization-based solutions.<\/p>\n<p>All Workshop attendees will receive a free Gurobi t-shirt.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"responsivelearningtechnologies\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-responsivelearningtechnologies tb_npfu951 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_7nay951 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_gcar951   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>4-6:30pm<br \/><\/strong><strong>Location: CC-North 121 C<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-2 tb_qhi5951 last\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_nqrd978 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=\"106\" src=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/06\/exhibitor-logo-responsive-learning-technologies.png\" class=\"wp-post-image wp-image-1463\" alt=\"Responsive Learning Technologies is an exhibitor at the 2023 INFORMS Annual Meeting\">    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image --><!-- module text -->\n<div  class=\"module module-text tb_8qpj951   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>Littlefield 2.0 &#8212; A New Version of the Online Game for Operations Management Courses<\/h2>\n<p>Presented by: Samuel Wood<\/p>\n<p>After 24 years there is a new version of Littlefield! Littlefield is a competitive online simulation of either a factory or a medical laboratory that has been by more than half a million students in 500+ universities in 60+ countries to excite and engage students in operations management topics like process analysis and inventory control. This presentation will introduce a newly updated version 2 of the game that will go into production in 2024. Participants are encouraged but not required to bring a laptop.<\/p>    <\/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_txh8698 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_7xfg698 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_w8i6698   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>4-6:30pm<br \/><\/strong><strong>Location: CC-North 122 A<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-2 tb_x1vb698 last\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_szwa644 image-top   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/07\/sas-logo-midnight-250x101.png\" width=\"250\" height=\"101\" class=\"wp-post-image wp-image-1798\" title=\"Exhibitor Workshops\" alt=\"Exhibitor Workshops\">    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image --><!-- module text -->\n<div  class=\"module module-text tb_3e0z833   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>SAS Analytics and Digital Twins<\/h2>\n<p>Presented by: Rob Pratt, Hossein Tohidi, and Bahar Biller<\/p>\n<p>SAS offers extensive analytic capabilities, including machine learning, deep learning, natural language processing, statistical analysis, optimization, and simulation. SAS analytic functionality is also available through the open, cloud-enabled design of SAS\u00ae Viya\u00ae.\u00a0 You can program in SAS or in other languages \u2013 Python, Lua, Java, and R. SAS Analytics is equipped with AI-enabled automations and modern low-code or no-code user interfaces that democratize data science usage in your organization and offer unparalleled speed to value.<\/p>\n<p>We\u2019ll first review the SAS analytics portfolio, then highlight recently added optimization features, and finally explore case studies in optimization, network analytics, and simulation, with an emphasis on projects involving digital twins. The concept of digital twin plays a paramount role in the digital transformation efforts of our customers. We will describe how we envision digital twins, share our development framework, and highlight SAS enabling technologies and differentiators. We will further share our experience of building digital twins and conclude with an overview of SAS customer outcomes.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n        <\/div>\n<!--\/themify_builder_content-->","protected":false},"excerpt":{"rendered":"<p>Take advantage of these pre-conference exhibitor workshops on for a hands-on demonstration of the latest industry products and software. All attendees are welcome to join onsite or pre-register. If you\u2019ve already registered for the Annual Meeting, you can add workshops by editing your record. All Exhibitor Workshops will be held in the Phoenix Convention Center [&hellip;]<\/p>\n","protected":false},"author":1001140,"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-1467","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 - 2023 INFORMS Annual Meeting<\/title>\n<meta name=\"description\" content=\"Take advantage of these pre-2023 INFORMS Annual Meeting exhibitor workshops for a demonstration of the latest industry products and software.\" \/>\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\/phoenix2023\/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=\"Take advantage of these pre-2023 INFORMS Annual Meeting exhibitor workshops for a demonstration of the latest industry products and software.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/exhibitor-workshops\/\" \/>\n<meta property=\"og:site_name\" content=\"2023 INFORMS Annual Meeting\" \/>\n<meta property=\"article:modified_time\" content=\"2023-10-08T23:21:47+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/exhibitor-workshops\/\",\"url\":\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/exhibitor-workshops\/\",\"name\":\"Exhibitor Workshops - 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2023 INFORMS Annual Meeting","isPartOf":{"@id":"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/#website"},"datePublished":"2023-06-16T15:08:58+00:00","dateModified":"2023-10-08T23:21:47+00:00","description":"Take advantage of these pre-2023 INFORMS Annual Meeting exhibitor workshops for a demonstration of the latest industry products and software.","breadcrumb":{"@id":"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/exhibitor-workshops\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/exhibitor-workshops\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/exhibitor-workshops\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/"},{"@type":"ListItem","position":2,"name":"Exhibitor Workshops"}]},{"@type":"WebSite","@id":"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/#website","url":"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/","name":"2023 INFORMS Annual Meeting","description":"October 15-18, 2023 | Phoenix, AZ","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"}]}},"builder_content":"<p>Take advantage of these pre-conference exhibitor workshops on for a hands-on demonstration of the latest industry products and software. All attendees are welcome to join onsite or pre-register. If you\u2019ve already registered for the Annual Meeting, you can add workshops by editing your record. All Exhibitor Workshops will be held in the Phoenix Convention Center on Saturday, October 14.<\/p>\n<p><strong>10-12:30pm<br \/><\/strong><strong>Location: CC-North 121 A<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/AIZOTH-logo-1024x252-250x61.png\" width=\"250\" height=\"61\" title=\"AIZOTH logo\" alt=\"AIZOTH logo\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/AIZOTH-logo-1024x252-250x61.png 250w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/AIZOTH-logo-300x74.png 300w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/AIZOTH-logo-1024x252.png 1024w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/AIZOTH-logo-768x189.png 768w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/AIZOTH-logo-1024x252-251x61.png 251w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/AIZOTH-logo.png 1047w\" sizes=\"(max-width: 250px) 100vw, 250px\" \/>\n<h2>Multi-Sigma: an Integrated AI Platform of Prediction and Optimization for Multiple Target Objectives Simultaneously<\/h2> <p>Presented by: Kotaro Kawajiri<\/p> <p>AIZOTH provides AI services such as Multi-Sigma, AI consulting, spot support to optimize manufacturing conditions, and commissioned R&amp;D. Multi-Sigma is the cloud-based AI software for R&amp;D to reduce the effort of experiment drastically and also to help researchers finding the innovative solutions for their actual problems with minimum experimental dataset. Multi-Sigma was already introduced by large manufacturing enterprises and top universities. We will demonstrate how a Multi-Sigma can be used with sample datasets.<\/p> <p>Key features of Multi-Sigma:<\/p> <p><ul><li>Numerical analysis using deep learning: Deep learning techniques of both neural network and Bayesian optimization can be used with minimum dataset. High precision prediction of multiple objective variables. Factor analysis using sensitivity analysis for explainable AI. Multi-objective optimization in trade-off (maximization, minimization, target value, tailor-made optimization, constraint of explanatory variables). It can handle a large number of explanatory variables (up to 200) and objective variables (up to 100),<\/li><\/ul><\/p><p><ul><li>No-code cloud-based software: Multi-Sigma is the advanced cloud-based AI platform which can be used with no-code on the browser. Anyone can use Multi-Sigma anytime, anywhere, and by any hardware (even by smartphones).<\/li><\/ul><\/p><p><ul><li>Innovative Design of Experiment using Artificial Intelligence (AI-DOE): Researchers can utilize our 'AI-DOE' techniques easily on Multi-Sigma. AI-DOE is developed by incorporating AI techniques into the traditional DOE basing on statistics. It can guides researchers to find the optimal solution for multi-input and multi-objective systems.<\/li><\/ul><\/p><p><ul><li>Versatility: Multi-Sigma can be utilized for any issue of R&amp;D. Main users are manufacturing companies such as automobile, chemical, pharmaceutical companies. Also it can be used for management issues such as prediction of sales, marketing, and inventory management. Tailor-made optimization is the brand-new techniques with great potential in the field of medical care, material science, and sales management.<\/li><\/ul><\/p>\n<p><strong>1-3:30pm<br \/><\/strong><strong>Location: CC-North 121 A<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/07\/web_ready_company_logo-AMPL_logo_web_ready-250x75.png\" width=\"250\" height=\"75\" title=\"Exhibitor Workshops\" alt=\"Exhibitor Workshops\">\n<h2>Teaching, Learning, and Applying Optimization: New Developments in the AMPL Modeling System<\/h2> <p>Presented by: Filipe Brand\u00e3o and Robert Fourer<\/p> <p>Optimization is the most widely adopted technology of Operations Research and Analytics, yet it must steadily evolve to remain relevant. After an introductory example, this presentation takes you on a tour through new developments in the AMPL modeling language and system that have been changing the ways that people learn and apply large-scale optimization:<\/p> <ul> <li>A new approach to connecting the modeling language to solvers, which lets you write many common logical conditions and \u201cnot quite linear\u201d functions in a much more natural way, avoiding complicated and error-prone reformulations.<\/li> <li>A Python-first alternative to learning AMPL and model-building, supported by new teaching materials that leverage the power of Jupyter notebooks and Google Colab to bring modern computing to the study of optimization.<\/li> <li>Enhancements to the AMPL Python interface (amplpy), including faster data input and closer solver integration, which expand the possibilities for model-based application development.<\/li> <\/ul> <p>We conclude with deployment examples, showing how Python scripts can be turned quickly into OR and Prescriptive Analytics applications using amplpy, Pandas, and the Streamlit app framework. Deployments are supported on traditional servers and in a variety of modern virtual environments including containers, clusters, and cloud machines.<\/p>\n<p><strong>1-3:30pm<br \/><\/strong><strong>Location: CC-North 121 B<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/DataRefiner-logo.png\" title=\"DataRefiner logo\" alt=\"DataRefiner logo\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/DataRefiner-logo.png 1200w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/DataRefiner-logo-300x69.png 300w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/DataRefiner-logo-1024x236.png 1024w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/DataRefiner-logo-768x177.png 768w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/DataRefiner-logo-1024x236-231x52.png 231w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/>\n<h2>Exploring the use of Topological Data Analysis in Image, Time-series, Text, and Social Media<\/h2> <p>Presented by: Edward Kibardin<\/p> <p>Using DataRefiner, we\u2019ll tap into Topological Data Analysis (TDA) and deep learning methods. Together, we'll navigate data from images, time series, and texts. We'll spot complex trends in the data using clustering and identify the links between different aspects of the data using cause discovery techniques. Join to see the TDA analysis of an enormous amount of Reddit comments - 2,5 billion to be exact.<\/p>\n<p><strong>1-3:30pm<br \/><\/strong><strong>Location: CC-North 121 C<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/06\/GAMS_with-slogan.png\" alt=\"GAMS will be presenting at the 2023 INFORMS Annual Meeting\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/06\/GAMS_with-slogan.png 1824w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/06\/GAMS_with-slogan-300x121.png 300w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/06\/GAMS_with-slogan-1024x412.png 1024w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/06\/GAMS_with-slogan-768x309.png 768w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/06\/GAMS_with-slogan-1536x617.png 1536w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/06\/GAMS_with-slogan-1024x412-251x100.png 251w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/06\/GAMS_with-slogan-1024x412-249x99.png 249w\" sizes=\"(max-width: 1824px) 100vw, 1824px\" \/>\n<h2>Application-building with GAMS: Model Development, Data Transfer, and Deployment<\/h2> <p>Presented by: Atharv Bhosekar<\/p> <p>The General Algebraic Modeling System (GAMS) allows modelers to create optimization-based decision support applications. In this workshop, our first focus will be on model development with GAMS. We will explore what a model entails, how to solve different problem types (linear, mixed-integer, non-linear) using GAMS, as well as how to switch solvers and separate the model code from input data using GDX. Additionally, we will demonstrate how a GAMS model can be integrated and transformed into an effective application. An essential step in this process is ensuring efficient data transfer. To achieve this, we will showcase the use of the embedded code facility, GAMS Transfer API, and tools like GAMS Connect. Lastly, we will introduce the GAMS Engine, a powerful tool for solving GAMS models either on-premises or in the cloud.<\/p>\n<p><strong>1-3:30pm<br \/><\/strong><strong>Location: CC-North 122 A<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/jd-logo-jpg-1024x124-416x49.jpg\" width=\"416\" height=\"49\" title=\"jd-logo-jpg\" alt=\"jd-logo-jpg\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/jd-logo-jpg-1024x124-416x49.jpg 416w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/jd-logo-jpg-300x36.jpg 300w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/jd-logo-jpg-1024x124.jpg 1024w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/jd-logo-jpg-768x93.jpg 768w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/jd-logo-jpg-1536x186.jpg 1536w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/jd-logo-jpg-2048x248.jpg 2048w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/jd-logo-jpg-1024x124-450x54.jpg 450w\" sizes=\"(max-width: 416px) 100vw, 416px\" \/>\n<h2>Building Sustainable Supply Chain and Logistics: The Case of JD.com<\/h2> <p>Presented by: Hau Lee, Yongzhi Qi, and Ningxuan Kang<\/p> <p>JD.com is China's largest retailer and a global leader. By operating 1500+ warehouses, and fulfilling 90% of customer orders same or next day, JD.com have achieved a very high automation rate end-to-end. As a company also focused on social responsibility, JD.com has made great effort to establish a supply-chain end-to-end mobile carbon emission footprint management platform, which enables JD.com to work better on carbon emissions for its customers and to identify greenhouse gas decarbonization opportunities for e-commerce scenarios. This speech will help you to uncover the potential supply chain sustainability using machine learning, operation research, AI and IOT techniques with real-world cases.<\/p>\n<p><strong>1-3:30pm<br \/><\/strong><strong>Location: CC-North 122 B<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/08\/web_ready_company_logo-JMP-199x193.png\" width=\"199\" height=\"193\" title=\"web_ready_company_logo-JMP\" alt=\"web_ready_company_logo-JMP\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/08\/web_ready_company_logo-JMP-199x193.png 199w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/08\/web_ready_company_logo-JMP-197x191.png 197w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/08\/web_ready_company_logo-JMP.png 269w\" sizes=\"(max-width: 199px) 100vw, 199px\" \/>\n<h2>Performing Basic-to-Advanced Statistical Analyses in an Interactive \u201cNo Code\/Low Code\u201d Environment<\/h2> <p>Presented by: Kevin Potcner<\/p> <p>A statistical scientist from JMP will demonstrate a wide collection of platforms in JMP software for analyzing data and teaching data science in a 'no code' interactive environment.<\/p> <p>Topics will include:<\/p> <ul> <li>Importing and preparing the data for analysis<\/li> <li>Discovering and describing features in univariate and multidimensional data through interactive visualizations<\/li> <li>Classic Inference and estimation<\/li> <li>Designing and analyzing research experiments<\/li> <li>Conducting comparative statistical analyses<\/li> <li>Building statistical models for describing relationships and predicting outcomes<\/li> <li>Analyzing unstructured text data<\/li> <li>Preparing graphs for publication submission<\/li> <\/ul>\n<p><strong>1-3:30pm<br \/><\/strong><strong>Location: CC-North 122 C<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/07\/web_ready_company_logo-nextmv-logo-horizontal-color-250x62.png\" width=\"250\" height=\"62\" title=\"web_ready_company_logo-nextmv-logo-horizontal-color\" alt=\"web_ready_company_logo-nextmv-logo-horizontal-color\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/07\/web_ready_company_logo-nextmv-logo-horizontal-color-250x62.png 250w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/07\/web_ready_company_logo-nextmv-logo-horizontal-color-300x76.png 300w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/07\/web_ready_company_logo-nextmv-logo-horizontal-color-262x65.png 262w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/07\/web_ready_company_logo-nextmv-logo-horizontal-color.png 600w\" sizes=\"(max-width: 250px) 100vw, 250px\" \/>\n<h2>De-risking Decision Model Rollout with Batch, Acceptance, and Shadow Testing<\/h2> <p>Presented by: Sebasti\u00e1n Quintero<\/p> <p>Isaac Asimov once said, \u201cThe most exciting phrase to hear in science, the one that heralds new discoveries, is not \u2018Eureka!\u2019 but \u2018That\u2019s funny\u2026\u2019\u201d Asmiov\u2019s words speak to the opportunities, curiosities, and showstoppers that surface while building and deploying decision algorithms \u2014 but ideally not before an algorithm impacts production systems. That\u2019s where model testing comes in. Testing is a useful tool for algorithm development teams to avoid expensive mistakes, troubleshoot bugs, establish a repeatable path to production, and give stakeholders confidence in results. How does a new model perform compared to an existing one? How do solutions change as constraints are added or removed? Does the model perform as I\u2019d expect before deploying to production? In this workshop, we\u2019ll explore these questions in addition to walking through the different types of model testing, a framework for bringing them all together, and hands-on examples for how to use and incorporate an optimization model testing toolkit into your OR operations.<\/p>\n<p><strong>1-3:30pm<br \/><\/strong><strong>Location: CC-North 123<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/06\/exhibitor-logo-provalis-research.png\" alt=\"Provalis Research is an exhibitor at the 2023 INFORMS Annual Meeting\">\n<h2>Introduction to WordStat Text Analytics<\/h2> <p>Presented by: Normand Peladeau<\/p> <p>Provalis Research CEO Normand Peladeau will identify the main challenges in the analysis of unstructured text data and demonstrates how Provalis Research\u2019s text analytics software WordStat can help you deal with those challenges and analyze large amounts of text data using exploratory text-mining and quantitative content analysis. He will show you how you can quickly and easily explore very large amounts of text data with advanced topic modeling and other techniques as well as how to build and use dictionaries for automated content analysis.<\/p>\n<p><strong>4-6:30pm<br \/><\/strong><strong>Location: CC-North 121 A<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/Cocalc-logo-v7.2-horizontal.png\" title=\"Cocalc-logo-v7.2-horizontal\" alt=\"Cocalc-logo-v7.2-horizontal\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/Cocalc-logo-v7.2-horizontal.png 367w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/Cocalc-logo-v7.2-horizontal-300x58.png 300w\" sizes=\"(max-width: 367px) 100vw, 367px\" \/>\n<h2>A Real-time Collaborative and Cloud-based Open-source Ecosystem with AI<\/h2> <p>Presented by: Blaec Bejarano<\/p> <p>This workshop serves to highlight a few unique capabilities that CoCalc possesses which enhance the collaborative performance of computational science. This includes a Jupyter integration with OpenAI, computational whiteboard environment (and slideshow mode), version control via TimeTravel, and more.<\/p>\n<p><strong>4-6:30pm<br \/><\/strong><strong>Location: CC-North 121 B<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/06\/sponsor-logo-fico-249x124.png\" width=\"249\" height=\"124\" alt=\"FICO is sponsoring the 2023 INFORMS Annual Meeting\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/06\/sponsor-logo-fico-249x124.png 249w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/06\/sponsor-logo-fico-230x116.png 230w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/06\/sponsor-logo-fico.png 168w\" sizes=\"(max-width: 249px) 100vw, 249px\" \/>\n<h2>The New Xpress Global Optimization Solver and Other Advances in Optimization<\/h2> <p>Presented by: Michael Perregaard, Susanne Heipcke, Jeff Day, and Robert Ashford<\/p> <p>This workshop will 1) introduce the new Xpress Global Solver, 2) cover the next generation of features in the Mosel programming language, 3) discuss the ODH MIP accelerator package from Optimization Direct), and 4) describe how Xpress Insight allows you to put the power of your analytical models in the hands of business users in far less time than traditional tools.<\/p> <ol> <li>The new global optimization engine in the FICO Xpress Solver can solve mixed-integer, nonlinear optimization problems to proven global optimality. Building upon Xpress Nonlinear and its multi-start extension, Global Optimization offers a new solution methodology for nonlinear problems, supporting all kinds of algebraic nonlinearities (powers, exponentials, trigonometrics), in addition to all of the discrete entities that the Xpress Optimizer supports (binaries, integers, indicators, special-ordered sets, piece-wise linear functions).\u00a0<\/li> <li>Mosel 6 is a major milestone that reinforces the programming features of the Mosel language. It allows for a more flexible design, implementation, and version management of Mosel packages. Mosel addresses the needs of large-scale application development that we and our clients also demand for non-optimization-based applications. It supports testing systems, debugging functionality, and long-term compatibility management for user and system components. Besides the new programming features, the Mosel 6 series also provides numerous extensions to Mosel's optimization capabilities. We will provide examples that illustrate how to use the new Global Solver with Mosel, how to formulate and solve optimization problems with multiple objectives, and extensions to the IIS (Irreducible Infeasible Set) functionality. We will also briefly cover new versions of Mosel open-source components, including new features of the online-doc generation, new data structures, and support for testing.<\/li> <li>ODH is a software package from Optimization Direct Inc. that runs concurrently with MIP optimizers like FICO Xpress to accelerate and extend their capabilities for large and difficult optimization models. Using thread synchronization and heuristics like decomposition methods, ODH generates and provides good solutions to the MIP solver, allowing it to converge faster. In tests by Optimization Direct, ODH reduced optimality gaps by 40% on mid-sized models and solved previously unsolved instances from MIPLIB. It is used by customers in scheduling, telecom, retail, logistics, etc. to optimize models that would fail without ODH. By leveraging its synchronization and heuristics, ODH enables MIP solvers to tackle larger and harder real-world optimization problems.<\/li> <li>FICO\u00ae Xpress Insight is a rapid application development and deployment framework that integrates with Xpress Solver and your own analytics, enables collaboration across multi-functional teams, and deploys decision support or automated solutions in the cloud or on-premises in far less time than traditional application development tools. We will show how you can rapidly convert Python and Mosel models into complete business applications with Xpress Insight to make your analytical models available to thousands of business users.<\/li> <\/ol>\n<p><strong>4-6:30pm<br><\/strong><strong>Location: CC-North 122 B<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/FrontlineSolvers-web_ready_company_logo-1001x1024-200x203.jpg\" width=\"200\" height=\"203\" title=\"FrontlineSolvers web_ready_company_logo\" alt=\"FrontlineSolvers web_ready_company_logo\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/FrontlineSolvers-web_ready_company_logo-1001x1024-200x203.jpg 200w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/FrontlineSolvers-web_ready_company_logo-768x785.jpg 768w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/09\/FrontlineSolvers-web_ready_company_logo-1001x1024-199x203.jpg 199w\" sizes=\"(max-width: 200px) 100vw, 200px\" \/>\n<h2>Build Analytic Models with Help from AI in RASON and Analytic Solver for Excel<\/h2> <p>Presented by: Daniel Fylstra<\/p> <p>This workshop will highlight what\u2019s new in Analytic Solver\u00ae for Excel and RASON\u00ae, our cloud platform and high-level modeling language for your full range of analytics \u2013 optimization, simulation, machine learning, and business rules. See how you can use our integrated, ChatGPT-powered AI Agent, trained on thousands of pages of our guides, to learn new software features and more easily create models.<\/p> <p>We\u2019ll show how RASON helps you connect models to cloud data sources, use different model types together in multi-stage decision flows (without writing code), schedule automated data updates and model solves, run models \u201con demand\u201d, access results from low-code \/ no-code tools like Power Apps, Power Automate and Power BI, track model versions, runs, and resource usage, and leverage Azure cyber security features to create a modern \u201czero trust\u201d solution.<\/p> <p>As a bonus, you\u2019ll see our patent-pending, fully automated risk analysis of machine learning models \u2013 easy to use in RASON, in Excel with Analytic Solver, and in C++, C#, Java, Python and R with Solver SDK\u00ae. (If you miss this, check our tutorial session!) See if you agree that this will become the new best practice for machine learning model development and evaluation.<\/p>\n<p><strong>4-6:30pm<br \/><\/strong><strong>Location: CC-North 126 B<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/07\/Gurobi-Logo2-250x65.png\" width=\"250\" height=\"65\" alt=\"Gurobi Optimization\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/07\/Gurobi-Logo2-250x66.png 250w, https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/07\/Gurobi-Logo2.png 280w\" sizes=\"(max-width: 250px) 100vw, 250px\" \/>\n<h2>Gurobi 11.0 - Helping You to Build, Solve, and Deploy Optimization Models<\/h2> <p>Presented by:\u00a0Zonghao Gu, Ed Klotz, Rodrigo Fuentes, Cara Touretzky, Dan Steffy, and Lindsay Montanari<\/p> <p>Regardless of whether you are an experienced mathematical optimization practitioner, a newcomer interested in better understanding the potential of mathematical optimization in your organization, or somewhere in between, this workshop has something for you.<\/p> <p>Attendees will get a first look at our latest product release,\u202fGurobi\u202f11.0\u2014including exciting\u202fperformance improvements to\u202fGurobi\u2019s\u202fcore algorithms and additional support for nonlinear functions.\u00a0The latter includes direct support of general nonlinear functions beyond the piecewise linear approximations provided in previous versions. The workshop will also include an interactive panel discussion \u201c<strong>From skepticism to success: getting buy-in for optimization projects\u201d<\/strong>\u00a0with optimization experts across academia, industries, and\u202fGurobi.<\/p> <p>The Gurobi team will also be presenting a live demo of <a href=\"https:\/\/github.com\/Gurobi\/gurobi-optimods\">OptiMods<\/a>, an open-source project that provides Python users with high-level access to optimization capabilities. Developed by the Gurobi Tech teams, the project aims to put optimization in the hands of more people\u2014especially those without prior knowledge of optimization and mathematical modeling.\u00a0 While primarily intended for newcomers, experienced optimization practitioners may gain insights on obtaining acceptance of optimization-based solutions.<\/p> <p>All Workshop attendees will receive a free Gurobi t-shirt.<\/p>\n<p><strong>4-6:30pm<br \/><\/strong><strong>Location: CC-North 121 C<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/06\/exhibitor-logo-responsive-learning-technologies.png\" alt=\"Responsive Learning Technologies is an exhibitor at the 2023 INFORMS Annual Meeting\">\n<h2>Littlefield 2.0 -- A New Version of the Online Game for Operations Management Courses<\/h2> <p>Presented by: Samuel Wood<\/p> <p>After 24 years there is a new version of Littlefield! Littlefield is a competitive online simulation of either a factory or a medical laboratory that has been by more than half a million students in 500+ universities in 60+ countries to excite and engage students in operations management topics like process analysis and inventory control. This presentation will introduce a newly updated version 2 of the game that will go into production in 2024. Participants are encouraged but not required to bring a laptop.<\/p>\n<p><strong>4-6:30pm<br \/><\/strong><strong>Location: CC-North 122 A<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/files\/2023\/07\/sas-logo-midnight-250x101.png\" width=\"250\" height=\"101\" title=\"Exhibitor Workshops\" alt=\"Exhibitor Workshops\">\n<h2>SAS Analytics and Digital Twins<\/h2> <p>Presented by: Rob Pratt, Hossein Tohidi, and Bahar Biller<\/p> <p>SAS offers extensive analytic capabilities, including machine learning, deep learning, natural language processing, statistical analysis, optimization, and simulation. SAS analytic functionality is also available through the open, cloud-enabled design of SAS\u00ae Viya\u00ae.\u00a0 You can program in SAS or in other languages \u2013 Python, Lua, Java, and R. SAS Analytics is equipped with AI-enabled automations and modern low-code or no-code user interfaces that democratize data science usage in your organization and offer unparalleled speed to value.<\/p> <p>We\u2019ll first review the SAS analytics portfolio, then highlight recently added optimization features, and finally explore case studies in optimization, network analytics, and simulation, with an emphasis on projects involving digital twins. The concept of digital twin plays a paramount role in the digital transformation efforts of our customers. We will describe how we envision digital twins, share our development framework, and highlight SAS enabling technologies and differentiators. We will further share our experience of building digital twins and conclude with an overview of SAS customer outcomes.<\/p>","_links":{"self":[{"href":"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/wp-json\/wp\/v2\/pages\/1467","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/wp-json\/wp\/v2\/users\/1001140"}],"replies":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/wp-json\/wp\/v2\/comments?post=1467"}],"version-history":[{"count":166,"href":"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/wp-json\/wp\/v2\/pages\/1467\/revisions"}],"predecessor-version":[{"id":3594,"href":"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/wp-json\/wp\/v2\/pages\/1467\/revisions\/3594"}],"wp:attachment":[{"href":"https:\/\/meetings.informs.org\/wordpress\/phoenix2023\/wp-json\/wp\/v2\/media?parent=1467"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}