{"id":7991,"date":"2025-01-15T21:30:44","date_gmt":"2025-01-15T21:30:44","guid":{"rendered":"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/?page_id=7991"},"modified":"2025-04-03T17:16:01","modified_gmt":"2025-04-03T17:16:01","slug":"technology-showcases","status":"publish","type":"page","link":"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/technology-showcases\/","title":{"rendered":"Technology Showcases"},"content":{"rendered":"<!--themify_builder_content-->\n<div id=\"themify_builder_content-7991\" data-postid=\"7991\" class=\"themify_builder_content themify_builder_content-7991 themify_builder tf_clear\">\n                    <div  data-lazy=\"1\" class=\"module_row themify_builder_row tb_jk91609 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_866q609 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_i422143   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p>Join conference exhibitors as they discuss innovations and best practices in the field. Technology Showcase presentations are educational, feature case studies, and may use exhibitor products and services. Technology Showcases will be presented through the lens of the INFORMS Certified Analytics Professional (CAP) Job Task Analysis (JTA) and how they relate to the <a href=\"https:\/\/www.certifiedanalytics.org\/jta\" data-feathr-click-track=\"true\" data-feathr-link-aids=\"622fa93bb0ebf976bd76e19a\">7 Domains of the Analytics Process<\/a>.<\/p>\n<div>\n<div>\u00a0<span style=\"background-color: initial;\">Professional Development Units (PDUs)\u00a0are available to those who attend these sessions.<\/span><\/div>\n<\/div>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-lazy=\"1\" class=\"module_row themify_builder_row tb_8mos687 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_tvew687 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_4ynl725  repeat \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3><span style=\"color: #f7eded;\">Monday, April 7<\/span><\/h3>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/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_0kwy274 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 col3-1 tb_7xli274 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_ndfe417   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>9:10-10am<br>Room 201<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module image -->\n<div  class=\"module module-image tb_wzlo0 image-top   auto_fullwidth tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img loading=\"lazy\" decoding=\"async\" width=\"280\" height=\"74\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/12\/Gurobi-web_ready_company.jpg\" class=\"wp-post-image wp-image-7634\" title=\"Gurobi web_ready_company\" alt=\"Gurobi web_ready_company\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/12\/Gurobi-web_ready_company.jpg 280w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/12\/Gurobi-web_ready_company-250x65.jpg 250w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/12\/Gurobi-web_ready_company-300x79.jpg 300w\" sizes=\"auto, (max-width: 280px) 100vw, 280px\" \/>    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col3-2 tb_qlvk186 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_78w0701   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3 class=\"MsoNormal\"><span style=\"font-family: 'Arial',sans-serif; mso-fareast-font-family: 'Times New Roman';\"><span style=\"color: #274e13;\">\u2018Optimizing\u2019 Optimization: Generative AI Tools for Beginners and Gurobi Experts<\/span><\/span><\/h3>\n<p><strong>Presented by: Cara Touretzky and Jerry Yurchisin<\/strong><\/p>\n<p>Generative AI based tools are being positioned to transform the workflows surrounding mathematical optimization. At Gurobi, we want to leverage new opportunities in this space while still honoring the importance of studying and practicing classical model development techniques. \u202fDesigned with new learners in mind, we\u2019ll walk you through a comprehensive documentation site on using LLMs for modeling and introduce two custom GPT tools\u2014the Prompt Engineer and the Modeling Assistant\u2014that lower the barrier to learning optimization modeling and build your confidence. For those with advanced expertise, we also present Gurobot, a specialized GPT crafted for Gurobi experts to tackle complex optimization challenges. Throughout this discussion we will review model validation strategies, as these are critical for both verifying the usefulness of GenAI tool output and developing skills as a model developer. Whether you&#8217;re starting your optimization journey or fine-tuning your skills, discover how these innovative AI resources can streamline your workflow and unlock new levels of efficiency.<\/p>\n<p>The content presented is most relevant to\u00a0Professional (Mid-Career).<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"ormae\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-ormae tb_yezq960 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 col3-1 tb_0ee7960 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_6acq960   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>9:10-10am<br>Room 202<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module image -->\n<div  class=\"module module-image tb_0f3b641 image-center   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\/analytics2025\/files\/2025\/01\/ORMAE-web_ready_company_logo-V-723x1024-150x211.png\" width=\"150\" height=\"211\" class=\"wp-post-image wp-image-8433\" title=\"ORMAE web_ready_company_logo V\" alt=\"ORMAE web_ready_company_logo V\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/ORMAE-web_ready_company_logo-V-723x1024-150x211.png 150w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/ORMAE-web_ready_company_logo-V-212x300.png 212w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/ORMAE-web_ready_company_logo-V-723x1024.png 723w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/ORMAE-web_ready_company_logo-V-768x1087.png 768w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/ORMAE-web_ready_company_logo-V-723x1024-200x283.png 200w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/ORMAE-web_ready_company_logo-V-723x1024-171x242.png 171w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/ORMAE-web_ready_company_logo-V-723x1024-130x183.png 130w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/ORMAE-web_ready_company_logo-V.png 1013w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/>    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col3-2 tb_af5q960 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_96yq877   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3><span style=\"color: #274e13;\">Challenges in Developing a Custom Network Optimization Solution for a Global Supply Chain<\/span><\/h3>\n<p><strong>Presented by: Amit Garg<\/strong><\/p>\n<p>Team ORMAE would like to share their experience and lessons learned while building Custom Network Optimization Solution for a Global Supply Chain for a multi-national pharma company. Building custom solution poses unique adoption challenges. We share how ORMAE collaborated with various stakeholders to create right environment and process for the success of the project.<\/p>\n<p>The content presented is most relevant to:\u00a0Professional (Mid-Career); Executive (Senior Level); and Associate (Early Career).<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"d-wave\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-d-wave tb_kump897 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 col3-1 tb_6d31898 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_ib4z526   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>10:30-11:20am<br>Room 201<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module image -->\n<div  class=\"module module-image tb_j44h953 image-center   auto_fullwidth tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <a href=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/exhibitors-sponsors\/exhibitors\/d-wave-quantum\/\">\n                   <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/web_ready_company_logo-D-Wave-367x46.png\" width=\"367\" height=\"46\" class=\"wp-post-image wp-image-7821\" title=\"web_ready_company_logo-D-Wave\" alt=\"web_ready_company_logo-D-Wave\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/web_ready_company_logo-D-Wave-367x46.png 367w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/web_ready_company_logo-D-Wave-300x39.png 300w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/web_ready_company_logo-D-Wave.png 660w\" sizes=\"auto, (max-width: 367px) 100vw, 367px\" \/>        <\/a>\n    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col3-2 tb_svon898 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_ehms243   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3><span style=\"color: #274e13;\">Quantum Optimization: Applying Quantum Computing to Business Optimization Challenges<\/span><\/h3>\n<p><strong>Presented by: Catherine Potts<\/strong><\/p>\n<p>A recent Hyperion Research survey reveals that businesses expect up to 20x return on investment from quantum optimization investments, and over 21% plan production-level use of quantum computing over the next 12-18 months\u2013a 50% increase over the past two years. <br><br>Attend this session to learn about quantum optimization, and how these new resources are being used for challenging combinatorial optimization problems such as:<\/p>\n<ul>\n<li>Optimized workforce scheduling for improved employee experience<\/li>\n<li>Enhanced production scheduling to improve customer satisfaction<\/li>\n<li>More efficient and more sustainable logistics routing.<\/li>\n<\/ul>\n<p>The content presented is most relevant to:\u00a0Professional (Mid-Career) and Executive (Senior Level).<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"purdueuniversity\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-purdueuniversity tb_251v640 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 col3-1 tb_pdh4641 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_2zzq186   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>10:30-11:20am<br>Room 202<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module image -->\n<div  class=\"module module-image tb_y8b7874 image-center   auto_fullwidth tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <a href=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/exhibitors-sponsors\/exhibitors\/purdue-university\/\">\n                   <img loading=\"lazy\" decoding=\"async\" width=\"1426\" height=\"152\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/Purdue-Exhibitor-logo-krn-krann-kreni-h-bg-rgb.png\" class=\"wp-post-image wp-image-8125\" title=\"Purdue Exhibitor logo-krn-krann-kreni-h-bg-rgb\" alt=\"Purdue Exhibitor logo-krn-krann-kreni-h-bg-rgb\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/Purdue-Exhibitor-logo-krn-krann-kreni-h-bg-rgb.png 1426w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/Purdue-Exhibitor-logo-krn-krann-kreni-h-bg-rgb-300x32.png 300w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/Purdue-Exhibitor-logo-krn-krann-kreni-h-bg-rgb-1024x109.png 1024w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/Purdue-Exhibitor-logo-krn-krann-kreni-h-bg-rgb-768x82.png 768w\" sizes=\"auto, (max-width: 1426px) 100vw, 1426px\" \/>        <\/a>\n    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col3-2 tb_u050641 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_cac8578   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3><span style=\"color: #274e13;\">Integrating Predictive &amp; Prescriptive Analytics in R<\/span><\/h3>\n<p><strong>Presented by: Matthew Lanham<\/strong><\/p>\n<p>This tech showcase provides R users and enthusiasts a simple example that clearly demonstrates how to integrate your predictive model(s) into an optimization model. Whether your predictive model is a simple parametric linear or logistic regression or a non-parametric machine learning model, we will highlight important modeling considerations to reduce unintended consequences that could occur from the predictive model uncertainty. The motivation for this workshop is that R continues to be a popular language used by data scientists and analytics professionals. Some professionals might have vast experience in one of prediction or optimization, but little to no experience integrating the two. This example with working code will help you get started off on the right foot.<\/p>\n<p>The content presented is most relevant to\u00a0Professional (Mid-Career).<\/p>    <\/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_13dv32 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 col3-1 tb_h2nf32 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_cbqm517   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>11:30am-12:20pm<br>Room 201<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module image -->\n<div  class=\"module module-image tb_vu3k742 image-center   auto_fullwidth 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\/analytics2025\/files\/2025\/03\/Arteyls2-300x108.png\" width=\"300\" height=\"108\" class=\"wp-post-image wp-image-9968\" title=\"Arteyls2\" alt=\"Arteyls2\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/03\/Arteyls2-300x108.png 300w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/03\/Arteyls2-768x279.png 768w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/03\/Arteyls2.png 787w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/>    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col3-2 tb_hisr32 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_x0kr377   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3><span style=\"color: #274e13;\">Optimizing Cross-Border Balancing: Artelys&#8217; Optimization Engine for the European Manual Frequency Restoration Reserve Platform<\/span><\/h3>\n<p><strong>Presented by: Renaud Saltet<\/strong><\/p>\n<p>Energy supply is a critical economic and societal challenge requiring a continuous balance between supply and demand. To achieve this, energy markets operate across different timeframes, from long-term futures markets to short-term balancing markets. While participants can trade energy up to one hour before delivery, Transmission System Operators (TSOs) manage real-time balancing by activating reserves within seconds to half an hour. In Europe, these reserves were traditionally handled nationally, but the interconnected European power system requires cross-border coordination.<\/p>\n<p>A coupled European market for balancing reserves offers substantial economic benefits. This has led to the development of balancing market through initiatives like MARI, which standardizes the exchange of manual Frequency Restoration Reserves (mFRR) across European TSOs. MARI operates through the Libra platform, a common European system designed to optimize the activation and allocation of balancing energy in real time.<\/p>\n<p>Artelys is contributing to this effort by developing the optimization engine for the Activation Optimization Function (AOF) within MARI, focusing on selecting and allocating mFRR bids efficiently. The algorithms optimize reserve activation across multiple countries, minimizing costs and ensuring grid stability by considering operational constraints and transmission limitations.<\/p>\n<p>The content presented is most relevant to:\u00a0Professional (Mid-Career) and Executive (Senior Level).<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"optimizationdirect\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-optimizationdirect tb_ckei420 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 col3-1 tb_qz51420 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_vqqz420   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>11:30am-12:20pm<br>Room 202<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module image -->\n<div  class=\"module module-image tb_g8vj508 image-center   auto_fullwidth tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img loading=\"lazy\" decoding=\"async\" width=\"2560\" height=\"583\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/Od_cmyk-scaled.jpg\" class=\"wp-post-image wp-image-8694\" title=\"Od_cmyk\" alt=\"Od_cmyk\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/Od_cmyk-scaled.jpg 2560w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/Od_cmyk-300x68.jpg 300w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/Od_cmyk-1024x233.jpg 1024w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/Od_cmyk-768x175.jpg 768w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/Od_cmyk-1536x350.jpg 1536w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/Od_cmyk-2048x466.jpg 2048w\" sizes=\"auto, (max-width: 2560px) 100vw, 2560px\" \/>    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col3-2 tb_kxqz420 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_6ubx420   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3><span style=\"color: #274e13;\">Generative AI and Mathematical Optimization: A FICO Xpress Tutorial<\/span><\/h3>\n<p><strong>Presented by: Alkis Vazacopoulos<\/strong><\/p>\n<p>This tutorial introduces innovative approaches for integrating generative AI with FICO Xpress optimization software. We demonstrate how generative AI can streamline the entire optimization workflow, from model formulation to solution analysis. Participants will learn practical techniques for automated model development, efficient code generation, and intelligent interpretation of solver outputs. Through hands-on examples, we explore how this integration accelerates development time while improving model quality. The tutorial covers key applications in operations research, with particular focus on transforming business problems into mathematical models and interpreting complex solver outputs. This session is designed for both researchers and practitioners interested in enhancing their optimization workflows with AI capabilities.<\/p>    <\/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_bkb7777 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 col3-1 tb_i4ya777 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_a6q3777   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>1:50-2:40pm<br>Room 201<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module image -->\n<div  class=\"module module-image tb_xvtq448 image-center   auto_fullwidth tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <a href=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/exhibitors-sponsors\/exhibitors\/nextmv\/\">\n                   <img loading=\"lazy\" decoding=\"async\" width=\"600\" height=\"152\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/11\/nextmv-logo-horizontal-color.png\" class=\"wp-post-image wp-image-7361\" title=\"nextmv-logo-horizontal-color\" alt=\"nextmv-logo-horizontal-color\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/11\/nextmv-logo-horizontal-color.png 600w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/11\/nextmv-logo-horizontal-color-300x76.png 300w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/>        <\/a>\n    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col3-2 tb_rsxf777 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_fcfd777   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3><span style=\"color: #274e13;\">DecisionOps in the Analytics Process: How to Build, Test, Deploy, and Manage Models Better<\/span><\/h3>\n<p><strong>Presented by: Carolyn Mooney<\/strong><\/p>\n<p>Optimization is founded upon the promise of efficiency and improving solutions. While it\u2019s reasonable to believe project success starts and ends with a decision model\u2019s runtime, there are greater efficiency hurdles to be had beyond the Big M or a destroy operator. In today\u2019s analytics environment, the leading teams will be defined by how they apply DecisionOps practices to test, deploy, and operate these solutions alongside software and business stakeholders.<\/p>\n<p>Join this session to learn basic concepts, real-world applications, and how to get started with DecisionOps in Nextmv, a platform for accelerating decision model development. This session is relevant to anyone working with tools such as: OR-Tools, Pyomo, HiGHS, VROOM, Gurobi, AMPL, Hexaly, Jupyter Notebooks, Statsmodels, Prophet, and more.<\/p>\n<p>The content presented is most relevant to:\u00a0Professional (Mid-Career).<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"princetonconsultants\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-princetonconsultants tb_ivlv523 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 col3-1 tb_p8py523 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_31a7523   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>1:50-2:40pm<br>Room 202<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module image -->\n<div  class=\"module module-image tb_gvjp838 image-top   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <a href=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/exhibitors-sponsors\/exhibitors\/princeton-consultants\/\">\n                   <img loading=\"lazy\" decoding=\"async\" width=\"792\" height=\"247\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/Princeton-Consultants-web_ready_company_logo-2024.jpg\" class=\"wp-post-image wp-image-7754\" title=\"Princeton Consultants web_ready_company_logo-2024\" alt=\"Princeton Consultants web_ready_company_logo-2024\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/Princeton-Consultants-web_ready_company_logo-2024.jpg 792w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/Princeton-Consultants-web_ready_company_logo-2024-300x94.jpg 300w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/Princeton-Consultants-web_ready_company_logo-2024-768x240.jpg 768w\" sizes=\"auto, (max-width: 792px) 100vw, 792px\" \/>        <\/a>\n    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col3-2 tb_8a0k523 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_svyc524   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3><span style=\"color: #274e13;\">Embracing \u201cAgile for Optimization\u201d to Transform Your Model <br>Development Process<\/span><\/h3>\n<p><strong>Presented by: Patricia Randall<\/strong><\/p>\n<div>\u00a0<span style=\"background-color: initial;\">Agile development accommodates the complexities and evolving nature of optimization solutions, leading to better outcomes and user satisfaction. Despite its prevalence in corporate IT organizations, many optimization practitioners have not yet embraced Agile. Princeton Consultants Director Patricia Randall, PhD believes you should, and she will discuss advantages and disadvantages of Agile, and draw on lessons from high-impact projects.<\/span><\/div>\n<div><span style=\"background-color: initial;\">\u00a0<\/span><\/div>\n<p>Optimization models by their nature present challenges to Agile, and Patricia will present best practices\u2014including decomposing the model, defining \u201cdone,\u201d and iterative refinement\u2014to overcome obstacles and achieve outstanding results. In this webinar, you will learn:<\/p>\n<div>\n<ul>\n<li>Pros and cons of Agile and Waterfall development<\/li>\n<li>Challenges in using Agile<\/li>\n<li>Practices to help you tailor Agile for your optimization solution development<\/li>\n<\/ul>\n<div><span style=\"background-color: initial;\">The content presented is most relevant to:\u00a0<\/span>Associate (Early Career); Professional (Mid-Career); and Executive (Senior Level).<\/div>\n<\/div>    <\/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_dk15323 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 col3-1 tb_urtg323 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_9a1i726   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>3:40-4:30pm<br>Room 201<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module image -->\n<div  class=\"module module-image tb_qxug494 image-top   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img loading=\"lazy\" decoding=\"async\" width=\"863\" height=\"268\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/ampl_logo_inline.png\" class=\"wp-post-image wp-image-8534\" title=\"ampl_logo_inline\" alt=\"ampl_logo_inline\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/ampl_logo_inline.png 863w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/ampl_logo_inline-300x93.png 300w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/ampl_logo_inline-768x238.png 768w\" sizes=\"auto, (max-width: 863px) 100vw, 863px\" \/>    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col3-2 tb_gs7m323 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_uqy165   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3><span style=\"color: #274e13;\">Using\u00a0Generative AI to Build High Impact Optimization Applications: Cases from Energy, Transportation, Supply Chain, and Finance<\/span><\/h3>\n<p><strong>Presented by: Bob Fourer and Filipe Brandao<\/strong><\/p>\n<p>Python and its vast ecosystem are great for data pre-processing, result analysis, and visualization, but Python&#8217;s design as a general-purpose programming\u00a0language makes it less than ideal for expressing the complex optimization problems typical of today&#8217;s applications. AMPL is a declarative language\u00a0that is designed for describing\u00a0optimization problems and that integrates naturally with Python.\u00a0<\/p>\n<p>Using recent cases from optimization-intensive application areas, this presentation demonstrates how the combination of AMPL modeling with Python environments\u00a0and tools has made optimization software more natural to use, faster to run, and easier to integrate with enterprise systems. After a quick introduction to the high-level modeling made possible by AMPL&#8217;s new MP solver interfaces, we show how AMPL and Python work together in a range of contexts:\u00a0<\/p>\n<ul>\n<li>Installing AMPL and solvers as Python packages<\/li>\n<li>Importing and exporting data naturally from\/to Python data structures such as Pandas dataframes<\/li>\n<li>Developing AMPL model formulations directly in Jupyter notebooks<\/li>\n<li>Trying AMPL and open-source solvers for free on Google Colab, with no arbitrary\u00a0problem size limits<\/li>\n<li>Turning Python scripts into prescriptive analytics applications in minutes with Pandas, Streamlit, and amplpy<\/li>\n<\/ul>\n<p>Our cases highlight how generative AI&#8217;s broad &#8220;knowledge&#8221; of Python packages speeds integration with data sources and interactive dashboards, enabling a rapid development process that slashes the time.\u00a0<\/p>\n<p>The content presented is most relevant to:\u00a0Associate (Early Career); Professional (Mid-Career); and Executive (Senior Level).<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/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_ihum542 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 col3-1 tb_6jd8542 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_w59h542   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>3:40-4:30pm<br>Room 202<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module image -->\n<div  class=\"module module-image tb_1ey6542 image-top   auto_fullwidth tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <a href=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/exhibitors-sponsors\/exhibitors\/hexaly\/\">\n                   <img decoding=\"async\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/hexaly-orange.svg\" class=\"wp-post-image wp-image-8071\" 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 col3-2 tb_a1zg542 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_0dq3542   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3><span style=\"color: #274e13;\">Automatic Branch-cut-price in Hexaly<\/span><\/h3>\n<p><strong>Presented by: Fred Gardi<\/strong><\/p>\n<div>\n<p>Hexaly is a new kind of global optimization solver. Its modeling interface is nonlinear and set-oriented. It also supports user-coded functions, enabling seamless integration of simulation with optimization or machine learning with optimization. The Hexaly API unifies modeling concepts from mixed-integer linear programming, nonlinear programming, and constraint programming. Under the hood, Hexaly combines various exact and heuristic optimization methods to solve users\u2019 problems effectively.<\/p>\n<p>In this talk, we will explain how Hexaly leverages Branch-Cut-Price techniques to automatically solve vehicle routing problems with hundreds of points, achieving near-optimal solutions within minutes on a standard laptop. Here, \u201cautomatically\u201d means out-of-the-box: no additional information or parameter tuning is required from the user.<\/p>\n<\/div>\n<div>\u00a0<span style=\"background-color: initial;\">The content presented is most relevant to:\u00a0Executive (Senior Level); Professional (Mid-Career); and Associate (Early Career).<\/span><\/div>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-lazy=\"1\" class=\"module_row themify_builder_row tb_cnqj877 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_iifa877 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_q8co528  repeat \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3><span style=\"color: #faf5f5;\">Tuesday, April 8<\/span><\/h3>    <\/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_qsac891 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 col3-1 tb_fam5891 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_7s9z54   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>9:10-10am<br>Room 201<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module image -->\n<div  class=\"module module-image tb_wxb7304 image-top   auto_fullwidth tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <a href=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/exhibitors-sponsors\/exhibitors\/fico\/\">\n                   <img loading=\"lazy\" decoding=\"async\" width=\"1001\" height=\"358\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/12\/FICO_RGB_Blue-1.png\" class=\"wp-post-image wp-image-7592\" title=\"FICO_RGB_Blue (1)\" alt=\"FICO_RGB_Blue (1)\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/12\/FICO_RGB_Blue-1.png 1001w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/12\/FICO_RGB_Blue-1-300x107.png 300w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/12\/FICO_RGB_Blue-1-768x275.png 768w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/12\/FICO_RGB_Blue-1-250x88.png 250w\" sizes=\"auto, (max-width: 1001px) 100vw, 1001px\" \/>        <\/a>\n    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col3-2 tb_tlxk843 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_inl4103   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3><span style=\"color: #274e13;\">From Data to Decisions with the Help of Generative AI and Optimization<\/span><\/h3>\n<p><strong>Presented by: Dinakar Gade and Imre P\u00f3lik<\/strong><\/p>\n<p>You have a team with a great analytics background. They have created advanced analytical tools using Python, R, or your current optimization solver. They managed to derive insights from your data and figured out what the best path forward is. But the tools remain cumbersome to use and are not accessible by business domain experts and business users. It is time to put these critical analytical insights into the hands of the business \u2013 with the help LLMs and great optimization technology. <br><br>In this tutorial, you\u2019ll learn how FICO\u2019s Xpress Optimization capabilities make it possible to embed your analytic and optimization models within business user-friendly applications. See how to supercharge your models with simulation, fast and robust optimization, reporting, what-if analysis, and agile extensibility for your ever-changing business. We will demonstrate how LLMs can help develop models and configure the solution as well as efficiently guide the business user.<\/p>\n<p>The content presented is most relevant to:\u00a0Associate (Early Career); Professional (Mid-Career); and Executive (Senior Level).<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"minitab\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-minitab tb_jeue914 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 col3-1 tb_pgib914 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_v7t4914   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>9:10-10am<br>Room 202<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module image -->\n<div  class=\"module module-image tb_mh0h124 image-center   auto_fullwidth tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img loading=\"lazy\" decoding=\"async\" width=\"722\" height=\"128\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/minitab-corp-logo.jpg\" class=\"wp-post-image wp-image-8658\" title=\"minitab-corp-logo\" alt=\"minitab-corp-logo\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/minitab-corp-logo.jpg 722w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/minitab-corp-logo-300x53.jpg 300w\" sizes=\"auto, (max-width: 722px) 100vw, 722px\" \/>    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col3-2 tb_tn24914 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_iems914   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3><span style=\"color: #274e13;\">Kickstart Your Analytics Revolution<\/span><\/h3>\n<p><strong>Presented by: Cheryl Pammer<\/strong><\/p>\n<p>Are you ready to lead the charge in transforming your organization? Join us to discover how Minitab can empower you to become the hero of your analytics initiatives.<\/p>\n<p>For over 50 years, Minitab has partnered with professionals like you to drive breakthroughs in product and process improvement. From reducing costs to streamlining efficiency, we\u2019ve helped organizations revolutionize the way they work\u2014and now it\u2019s your turn.<\/p>\n<p>Case studies based on recent experiences will illustrate how others have used the Minitab product suite to:<\/p>\n<ul>\n<li>Improve healthcare workers\u2019 safety with idea management and brainstorming.<\/li>\n<li>Tackle food safety and hygiene concerns, resulting in safer products and increased consumer trust using process capability, statistical process control, and predictive analytics.<\/li>\n<li>Navigate supply chain disruptions, boosting operational efficiency and customer satisfaction using forecasting and automated machine learning.<\/li>\n<li>Cut product defects, achieving remarkable cost savings and delivering superior quality using automated data collection, machine learning, and operationalizing models.<\/li>\n<\/ul>\n<p><span style=\"background-color: initial;\">The content presented is most relevant to\u00a0Professional (Mid-Career) level attendees.<\/span><\/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_43os434 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 col3-1 tb_nqgr435 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_hkw5435   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>11:30am-12:20pm<br>Room 201<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module image -->\n<div  class=\"module module-image tb_d5ow773 image-center   auto_fullwidth tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img loading=\"lazy\" decoding=\"async\" width=\"500\" height=\"200\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/12\/GAMS-Logo.png\" class=\"wp-post-image wp-image-7593\" title=\"GAMS Logo\" alt=\"GAMS Logo\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/12\/GAMS-Logo.png 500w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/12\/GAMS-Logo-300x120.png 300w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/12\/GAMS-Logo-200x79.png 200w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/12\/GAMS-Logo-250x99.png 250w\" sizes=\"auto, (max-width: 500px) 100vw, 500px\" \/>    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col3-2 tb_o3lv435 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_i7r5129   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3><span style=\"color: #274e13;\">Embedded Machine Learning Models with GAMSPy<\/span><\/h3>\n<p><strong>Presented by: Adam Christensen and Steven Dirkse<\/strong><\/p>\n<p>Join us as we showcase the machine learning capabilities of GAMSPy &#8212; our new Python-based algebraic modeling language. Embedding ML models into optimization problems is an exciting opportunity to create simplified surrogate models to real-world complex systems. Participants will see examples &#8212; inspired by these real world applications &#8212; where we train a neural network model, extract the trained\/verified system, and embed it into an optimization model written in GAMSPy. Along the way, participants will also get exposed to a range of GAMS data tools that support the entire development &#8212; debug &#8212; deployment cycle. Throughout the showcase, we will also explore how AMLs &#8212; like GAMSPy &#8212; lead to clearer code, better maintainability, and learn how GAMSPy overcomes the challenges posted by conventional object-oriented frameworks.<\/p>\n<p>The content presented is most relevant to Professional (Mid-Career); Executive (Senior Level); and Associate (Early Career).<\/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_6ebw826 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 col3-1 tb_3yrq826 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_oiir826   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>11:30am-12:20pm<br>Room 202<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module image -->\n<div  class=\"module module-image tb_gy5g507 image-top   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img loading=\"lazy\" decoding=\"async\" width=\"600\" height=\"160\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/JMP-logo-horz-blue-and-black-with-tagline-2.png\" class=\"wp-post-image wp-image-8987\" title=\"JMP-logo-horz-blue-and-black-with-tagline-2\" alt=\"JMP-logo-horz-blue-and-black-with-tagline-2\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/JMP-logo-horz-blue-and-black-with-tagline-2.png 600w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/JMP-logo-horz-blue-and-black-with-tagline-2-300x80.png 300w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/>    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col3-2 tb_zj5t826 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_bjor826   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3><span style=\"color: #274e13;\">Building and Evaluating Predictive Models in an Interactive <br>\u201cNo Code\u201d Environment<\/span><\/h3>\n<p><strong>Presented by: Muralidhara Anandamurthy<\/strong><\/p>\n<p>Teaching the process of building, evaluating, and choosing statistical models has become a core part of the curriculum for many analytics focused programs. What was once limited to teaching only linear and logistic regression, instructors are now exposing their students to many other modeling techniques \u2013 partition\/trees, neural network, K-nearest neighbors, support vector machines among many others. <br><br>Curriculums are also evolving so that students are given the chance to practice the full predictive modeling workflow on real datasets. This includes such steps as:<\/p>\n<ul>\n<li>importing, validating, and cleaning the data;<\/li>\n<li>defining the data to best address specific questions;<\/li>\n<li>preliminary data exploration;<\/li>\n<li>building and comparing models;<\/li>\n<li>presenting results; and<\/li>\n<li>selecting best model to put into production.<\/li>\n<\/ul>\n<p>In this showcase, a statistical scientist will illustrate how JMP\u2019s interactive approach to this process can greatly enhance student\u2019s understanding and enjoyment of the model building and selection workflow.<\/p>\n<p>The content presented is most relevant to:\u00a0Associate (Early Career); Professional (Mid-Career); and Executive (Senior Level).<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"insideopt\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-insideopt tb_dgwp873 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 col3-1 tb_tlbo873 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_49fp873   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>1:50-2:40pm<br>Room 201<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module image -->\n<div  class=\"module module-image tb_njb5719 image-center   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\/analytics2025\/files\/2025\/02\/InsideOpt_Neu2-logo-250x240.png\" width=\"250\" height=\"240\" class=\"wp-post-image wp-image-9117\" title=\"InsideOpt_Neu2-logo\" alt=\"InsideOpt_Neu2-logo\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/InsideOpt_Neu2-logo-250x239.png 250w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/InsideOpt_Neu2-logo-300x289.png 300w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/InsideOpt_Neu2-logo-200x192.png 200w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/InsideOpt_Neu2-logo.png 509w\" sizes=\"auto, (max-width: 250px) 100vw, 250px\" \/>    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col3-2 tb_lb0s873 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_04nj317   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3><span style=\"color: #274e13;\">Seeker &#8211; Unlocking a New Value Proposition for Optimization<\/span><\/h3>\n<p><strong>Presented by: Meinolf Sellmann<\/strong><\/p>\n<p>Does your management lack trust in optimization? Do operators not accept the plans your team provides in deployment? Do your models not survive long in production? Does it take too long to stand up and iterate on solutions? Do your models lack business impact? <br><br>If the answer to any of these questions is yes, then this talk is for you. We introduce the revolutionary new Seeker solver. We walk through several industrial applications that illustrate the incredible opportunities that this new technology offers for optimization experts to create buy-in and increase their business impact.<\/p>\n<p>The content presented is most relevant to:\u00a0Executive (Senior Level); Professional (Mid-Career); and Associate (Early Career).<\/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_x7j6348 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 col3-1 tb_bg2s348 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_68ev348   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>1:50-2:40pm<br>Room 202<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module image -->\n<div  class=\"module module-image tb_faq2641 image-center   auto_fullwidth tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img loading=\"lazy\" decoding=\"async\" width=\"600\" height=\"248\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/sas-logo-blue.jpg\" class=\"wp-post-image wp-image-8644\" title=\"sas-logo-blue\" alt=\"sas-logo-blue\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/sas-logo-blue.jpg 600w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/sas-logo-blue-300x124.jpg 300w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/>    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col3-2 tb_sq1e348 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_24kc285   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3><span style=\"color: #274e13;\">Building and Solving Optimization Models with SAS<\/span><\/h3>\n<p><strong>Presented by: Rob Pratt<\/strong><\/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. You can program in SAS or in other languages \u2013 Python, Lua, Java, and R. SAS Analytics is also 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. <br><br>OPTMODEL from SAS provides a powerful and intuitive algebraic optimization modeling language and unified support for building and solving LP, MILP, QP, conic, NLP, constraint programming, network-oriented, and black-box models. This showcase will include an overview of the optimization capabilities and demonstrate recently added features.<\/p>\n<p>The content presented is most relevant to:\u00a0Associate (Early Career); Professional (Mid-Career); and Executive (Senior Level).<\/p>    <\/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_a0em595 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 col3-1 tb_6rlj595 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_9wqe595   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>3:40-4:30pm<br>Room 201<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module image -->\n<div  class=\"module module-image tb_0t9e950 image-center   auto_fullwidth tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"133\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/Provalis_Research_logo.png\" class=\"wp-post-image wp-image-9223\" title=\"Provalis_Research_logo\" alt=\"Provalis_Research_logo\">    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col3-2 tb_2y01595 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_8xzr606   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3><span style=\"color: #274e13;\">Text Analytics in the GenAI Era: Obsolete or Complementary?<\/span><\/h3>\n<p><strong>Presented by Normand Peladeau<\/strong><\/p>\n<p>In the rapidly evolving landscape of data analysis, the rise of generative AI has led many to question the relevance of traditional text analytics techniques. Are these established methods now obsolete, or do they still have a crucial place alongside new AI-driven solutions? This session explores how text analytics and generative AI can coexist, not as competitors but as complementary approaches. We will examine the unique strengths and limitations of both, highlighting how their combination can offer more robust, insightful analyses<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n        <\/div>\n<!--\/themify_builder_content-->","protected":false},"excerpt":{"rendered":"<p>Join conference exhibitors as they discuss innovations and best practices in the field. Technology Showcase presentations are educational, feature case studies, and may use exhibitor products and services. Technology Showcases will be presented through the lens of the INFORMS Certified Analytics Professional (CAP) Job Task Analysis (JTA) and how they relate to the 7 Domains [&hellip;]<\/p>\n","protected":false},"author":1001137,"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-7991","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>Technology Showcases - 2025 INFORMS Analytics+ Conference<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/technology-showcases\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Technology Showcases\" \/>\n<meta property=\"og:description\" content=\"Join conference exhibitors as they discuss innovations and best practices in the field. 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Technology Showcases will be presented through the lens of the INFORMS Certified Analytics Professional (CAP) Job Task Analysis (JTA) and how they relate to the 7 Domains [&hellip;]","og_url":"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/technology-showcases\/","og_site_name":"2025 INFORMS Analytics+ Conference","article_publisher":"https:\/\/www.facebook.com\/INFORMSpage\/","article_modified_time":"2025-04-03T17:16:01+00:00","og_image":[{"width":400,"height":400,"url":"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/10\/analyticsplus-logo.jpg","type":"image\/jpeg"}],"twitter_card":"summary_large_image","twitter_site":"@INFORMS","schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/technology-showcases\/","url":"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/technology-showcases\/","name":"Technology Showcases - 2025 INFORMS Analytics+ Conference","isPartOf":{"@id":"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/#website"},"datePublished":"2025-01-15T21:30:44+00:00","dateModified":"2025-04-03T17:16:01+00:00","breadcrumb":{"@id":"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/technology-showcases\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/meetings.informs.org\/wordpress\/analytics2025\/technology-showcases\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/technology-showcases\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/"},{"@type":"ListItem","position":2,"name":"Technology Showcases"}]},{"@type":"WebSite","@id":"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/#website","url":"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/","name":"2025 INFORMS Analytics+ Conference","description":"April 6-8, 2025","publisher":{"@id":"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/?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\/analytics2025\/#organization","name":"INFORMS","url":"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/#\/schema\/logo\/image\/","url":"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2022\/03\/INFORMS_Logo_full_color.jpg","contentUrl":"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2022\/03\/INFORMS_Logo_full_color.jpg","width":300,"height":72,"caption":"INFORMS"},"image":{"@id":"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/INFORMSpage\/","https:\/\/x.com\/INFORMS","http:\/\/instagram.com\/informs_orms","https:\/\/www.linkedin.com\/groups\/82644\/profile","https:\/\/www.pinterest.com\/informs\/_saved\/","https:\/\/www.youtube.com\/user\/INFORMSonline","https:\/\/en.wikipedia.org\/wiki\/Institute_for_Operations_Research_and_the_Management_Sciences"]}]}},"builder_content":"<p>Join conference exhibitors as they discuss innovations and best practices in the field. Technology Showcase presentations are educational, feature case studies, and may use exhibitor products and services. Technology Showcases will be presented through the lens of the INFORMS Certified Analytics Professional (CAP) Job Task Analysis (JTA) and how they relate to the <a href=\"https:\/\/www.certifiedanalytics.org\/jta\" data-feathr-click-track=\"true\" data-feathr-link-aids=\"622fa93bb0ebf976bd76e19a\">7 Domains of the Analytics Process<\/a>.<\/p>\n\u00a0Professional Development Units (PDUs)\u00a0are available to those who attend these sessions.\n<h3>Monday, April 7<\/h3>\n<p><strong>9:10-10am<br>Room 201<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/12\/Gurobi-web_ready_company.jpg\" title=\"Gurobi web_ready_company\" alt=\"Gurobi web_ready_company\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/12\/Gurobi-web_ready_company.jpg 280w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/12\/Gurobi-web_ready_company-250x65.jpg 250w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/12\/Gurobi-web_ready_company-300x79.jpg 300w\" sizes=\"(max-width: 280px) 100vw, 280px\" \/>\n<h3>\u2018Optimizing\u2019 Optimization: Generative AI Tools for Beginners and Gurobi Experts<\/h3> <p><strong>Presented by: Cara Touretzky and Jerry Yurchisin<\/strong><\/p> <p>Generative AI based tools are being positioned to transform the workflows surrounding mathematical optimization. At Gurobi, we want to leverage new opportunities in this space while still honoring the importance of studying and practicing classical model development techniques. \u202fDesigned with new learners in mind, we\u2019ll walk you through a comprehensive documentation site on using LLMs for modeling and introduce two custom GPT tools\u2014the Prompt Engineer and the Modeling Assistant\u2014that lower the barrier to learning optimization modeling and build your confidence. For those with advanced expertise, we also present Gurobot, a specialized GPT crafted for Gurobi experts to tackle complex optimization challenges. Throughout this discussion we will review model validation strategies, as these are critical for both verifying the usefulness of GenAI tool output and developing skills as a model developer. Whether you're starting your optimization journey or fine-tuning your skills, discover how these innovative AI resources can streamline your workflow and unlock new levels of efficiency.<\/p> <p>The content presented is most relevant to\u00a0Professional (Mid-Career).<\/p>\n<p><strong>9:10-10am<br>Room 202<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/ORMAE-web_ready_company_logo-V-723x1024-150x211.png\" width=\"150\" height=\"211\" title=\"ORMAE web_ready_company_logo V\" alt=\"ORMAE web_ready_company_logo V\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/ORMAE-web_ready_company_logo-V-723x1024-150x211.png 150w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/ORMAE-web_ready_company_logo-V-212x300.png 212w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/ORMAE-web_ready_company_logo-V-723x1024.png 723w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/ORMAE-web_ready_company_logo-V-768x1087.png 768w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/ORMAE-web_ready_company_logo-V-723x1024-200x283.png 200w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/ORMAE-web_ready_company_logo-V-723x1024-171x242.png 171w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/ORMAE-web_ready_company_logo-V-723x1024-130x183.png 130w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/ORMAE-web_ready_company_logo-V.png 1013w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/>\n<h3>Challenges in Developing a Custom Network Optimization Solution for a Global Supply Chain<\/h3> <p><strong>Presented by: Amit Garg<\/strong><\/p> <p>Team ORMAE would like to share their experience and lessons learned while building Custom Network Optimization Solution for a Global Supply Chain for a multi-national pharma company. Building custom solution poses unique adoption challenges. We share how ORMAE collaborated with various stakeholders to create right environment and process for the success of the project.<\/p> <p>The content presented is most relevant to:\u00a0Professional (Mid-Career); Executive (Senior Level); and Associate (Early Career).<\/p>\n<p><strong>10:30-11:20am<br>Room 201<\/strong><\/p>\n<a href=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/exhibitors-sponsors\/exhibitors\/d-wave-quantum\/\"> <img src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/web_ready_company_logo-D-Wave-367x46.png\" width=\"367\" height=\"46\" title=\"web_ready_company_logo-D-Wave\" alt=\"web_ready_company_logo-D-Wave\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/web_ready_company_logo-D-Wave-367x46.png 367w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/web_ready_company_logo-D-Wave-300x39.png 300w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/web_ready_company_logo-D-Wave.png 660w\" sizes=\"(max-width: 367px) 100vw, 367px\" \/> <\/a>\n<h3>Quantum Optimization: Applying Quantum Computing to Business Optimization Challenges<\/h3> <p><strong>Presented by: Catherine Potts<\/strong><\/p> <p>A recent Hyperion Research survey reveals that businesses expect up to 20x return on investment from quantum optimization investments, and over 21% plan production-level use of quantum computing over the next 12-18 months\u2013a 50% increase over the past two years. <br><br>Attend this session to learn about quantum optimization, and how these new resources are being used for challenging combinatorial optimization problems such as:<\/p> <ul> <li>Optimized workforce scheduling for improved employee experience<\/li> <li>Enhanced production scheduling to improve customer satisfaction<\/li> <li>More efficient and more sustainable logistics routing.<\/li> <\/ul> <p>The content presented is most relevant to:\u00a0Professional (Mid-Career) and Executive (Senior Level).<\/p>\n<p><strong>10:30-11:20am<br>Room 202<\/strong><\/p>\n<a href=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/exhibitors-sponsors\/exhibitors\/purdue-university\/\"> <img src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/Purdue-Exhibitor-logo-krn-krann-kreni-h-bg-rgb.png\" title=\"Purdue Exhibitor logo-krn-krann-kreni-h-bg-rgb\" alt=\"Purdue Exhibitor logo-krn-krann-kreni-h-bg-rgb\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/Purdue-Exhibitor-logo-krn-krann-kreni-h-bg-rgb.png 1426w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/Purdue-Exhibitor-logo-krn-krann-kreni-h-bg-rgb-300x32.png 300w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/Purdue-Exhibitor-logo-krn-krann-kreni-h-bg-rgb-1024x109.png 1024w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/Purdue-Exhibitor-logo-krn-krann-kreni-h-bg-rgb-768x82.png 768w\" sizes=\"(max-width: 1426px) 100vw, 1426px\" \/> <\/a>\n<h3>Integrating Predictive &amp; Prescriptive Analytics in R<\/h3> <p><strong>Presented by: Matthew Lanham<\/strong><\/p> <p>This tech showcase provides R users and enthusiasts a simple example that clearly demonstrates how to integrate your predictive model(s) into an optimization model. Whether your predictive model is a simple parametric linear or logistic regression or a non-parametric machine learning model, we will highlight important modeling considerations to reduce unintended consequences that could occur from the predictive model uncertainty. The motivation for this workshop is that R continues to be a popular language used by data scientists and analytics professionals. Some professionals might have vast experience in one of prediction or optimization, but little to no experience integrating the two. This example with working code will help you get started off on the right foot.<\/p> <p>The content presented is most relevant to\u00a0Professional (Mid-Career).<\/p>\n<p><strong>11:30am-12:20pm<br>Room 201<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/03\/Arteyls2-300x108.png\" width=\"300\" height=\"108\" title=\"Arteyls2\" alt=\"Arteyls2\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/03\/Arteyls2-300x108.png 300w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/03\/Arteyls2-768x279.png 768w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/03\/Arteyls2.png 787w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/>\n<h3>Optimizing Cross-Border Balancing: Artelys' Optimization Engine for the European Manual Frequency Restoration Reserve Platform<\/h3> <p><strong>Presented by: Renaud Saltet<\/strong><\/p> <p>Energy supply is a critical economic and societal challenge requiring a continuous balance between supply and demand. To achieve this, energy markets operate across different timeframes, from long-term futures markets to short-term balancing markets. While participants can trade energy up to one hour before delivery, Transmission System Operators (TSOs) manage real-time balancing by activating reserves within seconds to half an hour. In Europe, these reserves were traditionally handled nationally, but the interconnected European power system requires cross-border coordination.<\/p> <p>A coupled European market for balancing reserves offers substantial economic benefits. This has led to the development of balancing market through initiatives like MARI, which standardizes the exchange of manual Frequency Restoration Reserves (mFRR) across European TSOs. MARI operates through the Libra platform, a common European system designed to optimize the activation and allocation of balancing energy in real time.<\/p> <p>Artelys is contributing to this effort by developing the optimization engine for the Activation Optimization Function (AOF) within MARI, focusing on selecting and allocating mFRR bids efficiently. The algorithms optimize reserve activation across multiple countries, minimizing costs and ensuring grid stability by considering operational constraints and transmission limitations.<\/p> <p>The content presented is most relevant to:\u00a0Professional (Mid-Career) and Executive (Senior Level).<\/p>\n<p><strong>11:30am-12:20pm<br>Room 202<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/Od_cmyk-scaled.jpg\" title=\"Od_cmyk\" alt=\"Od_cmyk\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/Od_cmyk-scaled.jpg 2560w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/Od_cmyk-300x68.jpg 300w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/Od_cmyk-1024x233.jpg 1024w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/Od_cmyk-768x175.jpg 768w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/Od_cmyk-1536x350.jpg 1536w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/Od_cmyk-2048x466.jpg 2048w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" \/>\n<h3>Generative AI and Mathematical Optimization: A FICO Xpress Tutorial<\/h3> <p><strong>Presented by: Alkis Vazacopoulos<\/strong><\/p> <p>This tutorial introduces innovative approaches for integrating generative AI with FICO Xpress optimization software. We demonstrate how generative AI can streamline the entire optimization workflow, from model formulation to solution analysis. Participants will learn practical techniques for automated model development, efficient code generation, and intelligent interpretation of solver outputs. Through hands-on examples, we explore how this integration accelerates development time while improving model quality. The tutorial covers key applications in operations research, with particular focus on transforming business problems into mathematical models and interpreting complex solver outputs. This session is designed for both researchers and practitioners interested in enhancing their optimization workflows with AI capabilities.<\/p>\n<p><strong>1:50-2:40pm<br>Room 201<\/strong><\/p>\n<a href=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/exhibitors-sponsors\/exhibitors\/nextmv\/\"> <img src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/11\/nextmv-logo-horizontal-color.png\" title=\"nextmv-logo-horizontal-color\" alt=\"nextmv-logo-horizontal-color\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/11\/nextmv-logo-horizontal-color.png 600w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/11\/nextmv-logo-horizontal-color-300x76.png 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/> <\/a>\n<h3>DecisionOps in the Analytics Process: How to Build, Test, Deploy, and Manage Models Better<\/h3> <p><strong>Presented by: Carolyn Mooney<\/strong><\/p> <p>Optimization is founded upon the promise of efficiency and improving solutions. While it\u2019s reasonable to believe project success starts and ends with a decision model\u2019s runtime, there are greater efficiency hurdles to be had beyond the Big M or a destroy operator. In today\u2019s analytics environment, the leading teams will be defined by how they apply DecisionOps practices to test, deploy, and operate these solutions alongside software and business stakeholders.<\/p> <p>Join this session to learn basic concepts, real-world applications, and how to get started with DecisionOps in Nextmv, a platform for accelerating decision model development. This session is relevant to anyone working with tools such as: OR-Tools, Pyomo, HiGHS, VROOM, Gurobi, AMPL, Hexaly, Jupyter Notebooks, Statsmodels, Prophet, and more.<\/p> <p>The content presented is most relevant to:\u00a0Professional (Mid-Career).<\/p>\n<p><strong>1:50-2:40pm<br>Room 202<\/strong><\/p>\n<a href=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/exhibitors-sponsors\/exhibitors\/princeton-consultants\/\"> <img src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/Princeton-Consultants-web_ready_company_logo-2024.jpg\" title=\"Princeton Consultants web_ready_company_logo-2024\" alt=\"Princeton Consultants web_ready_company_logo-2024\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/Princeton-Consultants-web_ready_company_logo-2024.jpg 792w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/Princeton-Consultants-web_ready_company_logo-2024-300x94.jpg 300w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/Princeton-Consultants-web_ready_company_logo-2024-768x240.jpg 768w\" sizes=\"(max-width: 792px) 100vw, 792px\" \/> <\/a>\n<h3>Embracing \u201cAgile for Optimization\u201d to Transform Your Model <br>Development Process<\/h3> <p><strong>Presented by: Patricia Randall<\/strong><\/p> \u00a0Agile development accommodates the complexities and evolving nature of optimization solutions, leading to better outcomes and user satisfaction. Despite its prevalence in corporate IT organizations, many optimization practitioners have not yet embraced Agile. Princeton Consultants Director Patricia Randall, PhD believes you should, and she will discuss advantages and disadvantages of Agile, and draw on lessons from high-impact projects. \u00a0 <p>Optimization models by their nature present challenges to Agile, and Patricia will present best practices\u2014including decomposing the model, defining \u201cdone,\u201d and iterative refinement\u2014to overcome obstacles and achieve outstanding results. In this webinar, you will learn:<\/p>\n<ul> <li>Pros and cons of Agile and Waterfall development<\/li> <li>Challenges in using Agile<\/li> <li>Practices to help you tailor Agile for your optimization solution development<\/li> <\/ul> The content presented is most relevant to:\u00a0Associate (Early Career); Professional (Mid-Career); and Executive (Senior Level).\n<p><strong>3:40-4:30pm<br>Room 201<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/ampl_logo_inline.png\" title=\"ampl_logo_inline\" alt=\"ampl_logo_inline\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/ampl_logo_inline.png 863w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/ampl_logo_inline-300x93.png 300w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/ampl_logo_inline-768x238.png 768w\" sizes=\"(max-width: 863px) 100vw, 863px\" \/>\n<h3>Using\u00a0Generative AI to Build High Impact Optimization Applications: Cases from Energy, Transportation, Supply Chain, and Finance<\/h3> <p><strong>Presented by: Bob Fourer and Filipe Brandao<\/strong><\/p> <p>Python and its vast ecosystem are great for data pre-processing, result analysis, and visualization, but Python's design as a general-purpose programming\u00a0language makes it less than ideal for expressing the complex optimization problems typical of today's applications. AMPL is a declarative language\u00a0that is designed for describing\u00a0optimization problems and that integrates naturally with Python.\u00a0<\/p> <p>Using recent cases from optimization-intensive application areas, this presentation demonstrates how the combination of AMPL modeling with Python environments\u00a0and tools has made optimization software more natural to use, faster to run, and easier to integrate with enterprise systems. After a quick introduction to the high-level modeling made possible by AMPL's new MP solver interfaces, we show how AMPL and Python work together in a range of contexts:\u00a0<\/p> <ul> <li>Installing AMPL and solvers as Python packages<\/li> <li>Importing and exporting data naturally from\/to Python data structures such as Pandas dataframes<\/li> <li>Developing AMPL model formulations directly in Jupyter notebooks<\/li> <li>Trying AMPL and open-source solvers for free on Google Colab, with no arbitrary\u00a0problem size limits<\/li> <li>Turning Python scripts into prescriptive analytics applications in minutes with Pandas, Streamlit, and amplpy<\/li> <\/ul> <p>Our cases highlight how generative AI's broad \"knowledge\" of Python packages speeds integration with data sources and interactive dashboards, enabling a rapid development process that slashes the time.\u00a0<\/p> <p>The content presented is most relevant to:\u00a0Associate (Early Career); Professional (Mid-Career); and Executive (Senior Level).<\/p>\n<p><strong>3:40-4:30pm<br>Room 202<\/strong><\/p>\n<a href=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/exhibitors-sponsors\/exhibitors\/hexaly\/\"> <img src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/hexaly-orange.svg\" title=\"hexaly-orange\" alt=\"hexaly-orange\"> <\/a>\n<h3>Automatic Branch-cut-price in Hexaly<\/h3> <p><strong>Presented by: Fred Gardi<\/strong><\/p>\n<p>Hexaly is a new kind of global optimization solver. Its modeling interface is nonlinear and set-oriented. It also supports user-coded functions, enabling seamless integration of simulation with optimization or machine learning with optimization. The Hexaly API unifies modeling concepts from mixed-integer linear programming, nonlinear programming, and constraint programming. Under the hood, Hexaly combines various exact and heuristic optimization methods to solve users\u2019 problems effectively.<\/p> <p>In this talk, we will explain how Hexaly leverages Branch-Cut-Price techniques to automatically solve vehicle routing problems with hundreds of points, achieving near-optimal solutions within minutes on a standard laptop. Here, \u201cautomatically\u201d means out-of-the-box: no additional information or parameter tuning is required from the user.<\/p>\n\u00a0The content presented is most relevant to:\u00a0Executive (Senior Level); Professional (Mid-Career); and Associate (Early Career).\n<h3>Tuesday, April 8<\/h3>\n<p><strong>9:10-10am<br>Room 201<\/strong><\/p>\n<a href=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/exhibitors-sponsors\/exhibitors\/fico\/\"> <img src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/12\/FICO_RGB_Blue-1.png\" title=\"FICO_RGB_Blue (1)\" alt=\"FICO_RGB_Blue (1)\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/12\/FICO_RGB_Blue-1.png 1001w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/12\/FICO_RGB_Blue-1-300x107.png 300w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/12\/FICO_RGB_Blue-1-768x275.png 768w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/12\/FICO_RGB_Blue-1-250x88.png 250w\" sizes=\"(max-width: 1001px) 100vw, 1001px\" \/> <\/a>\n<h3>From Data to Decisions with the Help of Generative AI and Optimization<\/h3> <p><strong>Presented by: Dinakar Gade and Imre P\u00f3lik<\/strong><\/p> <p>You have a team with a great analytics background. They have created advanced analytical tools using Python, R, or your current optimization solver. They managed to derive insights from your data and figured out what the best path forward is. But the tools remain cumbersome to use and are not accessible by business domain experts and business users. It is time to put these critical analytical insights into the hands of the business \u2013 with the help LLMs and great optimization technology. <br><br>In this tutorial, you\u2019ll learn how FICO\u2019s Xpress Optimization capabilities make it possible to embed your analytic and optimization models within business user-friendly applications. See how to supercharge your models with simulation, fast and robust optimization, reporting, what-if analysis, and agile extensibility for your ever-changing business. We will demonstrate how LLMs can help develop models and configure the solution as well as efficiently guide the business user.<\/p> <p>The content presented is most relevant to:\u00a0Associate (Early Career); Professional (Mid-Career); and Executive (Senior Level).<\/p>\n<p><strong>9:10-10am<br>Room 202<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/minitab-corp-logo.jpg\" title=\"minitab-corp-logo\" alt=\"minitab-corp-logo\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/minitab-corp-logo.jpg 722w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/minitab-corp-logo-300x53.jpg 300w\" sizes=\"(max-width: 722px) 100vw, 722px\" \/>\n<h3>Kickstart Your Analytics Revolution<\/h3> <p><strong>Presented by: Cheryl Pammer<\/strong><\/p> <p>Are you ready to lead the charge in transforming your organization? Join us to discover how Minitab can empower you to become the hero of your analytics initiatives.<\/p> <p>For over 50 years, Minitab has partnered with professionals like you to drive breakthroughs in product and process improvement. From reducing costs to streamlining efficiency, we\u2019ve helped organizations revolutionize the way they work\u2014and now it\u2019s your turn.<\/p> <p>Case studies based on recent experiences will illustrate how others have used the Minitab product suite to:<\/p> <ul> <li>Improve healthcare workers\u2019 safety with idea management and brainstorming.<\/li> <li>Tackle food safety and hygiene concerns, resulting in safer products and increased consumer trust using process capability, statistical process control, and predictive analytics.<\/li> <li>Navigate supply chain disruptions, boosting operational efficiency and customer satisfaction using forecasting and automated machine learning.<\/li> <li>Cut product defects, achieving remarkable cost savings and delivering superior quality using automated data collection, machine learning, and operationalizing models.<\/li> <\/ul> <p>The content presented is most relevant to\u00a0Professional (Mid-Career) level attendees.<\/p>\n<p><strong>11:30am-12:20pm<br>Room 201<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/12\/GAMS-Logo.png\" title=\"GAMS Logo\" alt=\"GAMS Logo\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/12\/GAMS-Logo.png 500w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/12\/GAMS-Logo-300x120.png 300w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/12\/GAMS-Logo-200x79.png 200w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2024\/12\/GAMS-Logo-250x99.png 250w\" sizes=\"(max-width: 500px) 100vw, 500px\" \/>\n<h3>Embedded Machine Learning Models with GAMSPy<\/h3> <p><strong>Presented by: Adam Christensen and Steven Dirkse<\/strong><\/p> <p>Join us as we showcase the machine learning capabilities of GAMSPy -- our new Python-based algebraic modeling language. Embedding ML models into optimization problems is an exciting opportunity to create simplified surrogate models to real-world complex systems. Participants will see examples -- inspired by these real world applications -- where we train a neural network model, extract the trained\/verified system, and embed it into an optimization model written in GAMSPy. Along the way, participants will also get exposed to a range of GAMS data tools that support the entire development -- debug -- deployment cycle. Throughout the showcase, we will also explore how AMLs -- like GAMSPy -- lead to clearer code, better maintainability, and learn how GAMSPy overcomes the challenges posted by conventional object-oriented frameworks.<\/p> <p>The content presented is most relevant to Professional (Mid-Career); Executive (Senior Level); and Associate (Early Career).<\/p>\n<p><strong>11:30am-12:20pm<br>Room 202<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/JMP-logo-horz-blue-and-black-with-tagline-2.png\" title=\"JMP-logo-horz-blue-and-black-with-tagline-2\" alt=\"JMP-logo-horz-blue-and-black-with-tagline-2\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/JMP-logo-horz-blue-and-black-with-tagline-2.png 600w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/JMP-logo-horz-blue-and-black-with-tagline-2-300x80.png 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/>\n<h3>Building and Evaluating Predictive Models in an Interactive <br>\u201cNo Code\u201d Environment<\/h3> <p><strong>Presented by: Muralidhara Anandamurthy<\/strong><\/p> <p>Teaching the process of building, evaluating, and choosing statistical models has become a core part of the curriculum for many analytics focused programs. What was once limited to teaching only linear and logistic regression, instructors are now exposing their students to many other modeling techniques \u2013 partition\/trees, neural network, K-nearest neighbors, support vector machines among many others. <br><br>Curriculums are also evolving so that students are given the chance to practice the full predictive modeling workflow on real datasets. This includes such steps as:<\/p> <ul> <li>importing, validating, and cleaning the data;<\/li> <li>defining the data to best address specific questions;<\/li> <li>preliminary data exploration;<\/li> <li>building and comparing models;<\/li> <li>presenting results; and<\/li> <li>selecting best model to put into production.<\/li> <\/ul> <p>In this showcase, a statistical scientist will illustrate how JMP\u2019s interactive approach to this process can greatly enhance student\u2019s understanding and enjoyment of the model building and selection workflow.<\/p> <p>The content presented is most relevant to:\u00a0Associate (Early Career); Professional (Mid-Career); and Executive (Senior Level).<\/p>\n<p><strong>1:50-2:40pm<br>Room 201<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/InsideOpt_Neu2-logo-250x240.png\" width=\"250\" height=\"240\" title=\"InsideOpt_Neu2-logo\" alt=\"InsideOpt_Neu2-logo\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/InsideOpt_Neu2-logo-250x239.png 250w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/InsideOpt_Neu2-logo-300x289.png 300w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/InsideOpt_Neu2-logo-200x192.png 200w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/InsideOpt_Neu2-logo.png 509w\" sizes=\"(max-width: 250px) 100vw, 250px\" \/>\n<h3>Seeker - Unlocking a New Value Proposition for Optimization<\/h3> <p><strong>Presented by: Meinolf Sellmann<\/strong><\/p> <p>Does your management lack trust in optimization? Do operators not accept the plans your team provides in deployment? Do your models not survive long in production? Does it take too long to stand up and iterate on solutions? Do your models lack business impact? <br><br>If the answer to any of these questions is yes, then this talk is for you. We introduce the revolutionary new Seeker solver. We walk through several industrial applications that illustrate the incredible opportunities that this new technology offers for optimization experts to create buy-in and increase their business impact.<\/p> <p>The content presented is most relevant to:\u00a0Executive (Senior Level); Professional (Mid-Career); and Associate (Early Career).<\/p>\n<p><strong>1:50-2:40pm<br>Room 202<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/sas-logo-blue.jpg\" title=\"sas-logo-blue\" alt=\"sas-logo-blue\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/sas-logo-blue.jpg 600w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/sas-logo-blue-300x124.jpg 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/>\n<h3>Building and Solving Optimization Models with SAS<\/h3> <p><strong>Presented by: Rob Pratt<\/strong><\/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. You can program in SAS or in other languages \u2013 Python, Lua, Java, and R. SAS Analytics is also 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. <br><br>OPTMODEL from SAS provides a powerful and intuitive algebraic optimization modeling language and unified support for building and solving LP, MILP, QP, conic, NLP, constraint programming, network-oriented, and black-box models. This showcase will include an overview of the optimization capabilities and demonstrate recently added features.<\/p> <p>The content presented is most relevant to:\u00a0Associate (Early Career); Professional (Mid-Career); and Executive (Senior Level).<\/p>\n<p><strong>3:40-4:30pm<br>Room 201<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/Provalis_Research_logo.png\" title=\"Provalis_Research_logo\" alt=\"Provalis_Research_logo\">\n<h3>Text Analytics in the GenAI Era: Obsolete or Complementary?<\/h3> <p><strong>Presented by Normand Peladeau<\/strong><\/p> <p>In the rapidly evolving landscape of data analysis, the rise of generative AI has led many to question the relevance of traditional text analytics techniques. Are these established methods now obsolete, or do they still have a crucial place alongside new AI-driven solutions? This session explores how text analytics and generative AI can coexist, not as competitors but as complementary approaches. We will examine the unique strengths and limitations of both, highlighting how their combination can offer more robust, insightful analyses<\/p>","_links":{"self":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/wp-json\/wp\/v2\/pages\/7991","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/wp-json\/wp\/v2\/users\/1001137"}],"replies":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/wp-json\/wp\/v2\/comments?post=7991"}],"version-history":[{"count":328,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/wp-json\/wp\/v2\/pages\/7991\/revisions"}],"predecessor-version":[{"id":10041,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/wp-json\/wp\/v2\/pages\/7991\/revisions\/10041"}],"wp:attachment":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/wp-json\/wp\/v2\/media?parent=7991"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}