{"id":7965,"date":"2025-01-15T20:56:20","date_gmt":"2025-01-15T20:56:20","guid":{"rendered":"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/?page_id=7965"},"modified":"2025-03-12T14:28:40","modified_gmt":"2025-03-12T14:28:40","slug":"exhibitor-workshop","status":"publish","type":"page","link":"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/exhibitor-workshop\/","title":{"rendered":"Exhibitor Workshops"},"content":{"rendered":"<!--themify_builder_content-->\n<div id=\"themify_builder_content-7965\" data-postid=\"7965\" class=\"themify_builder_content themify_builder_content-7965 themify_builder tf_clear\">\n                    <div  data-anchor=\"d-wave\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-d-wave tb_nsff935 tb_first tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_2 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col3-1 tb_m707935 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_yrhl418   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>11am-12:45pm<br>Room 201<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module image -->\n<div  class=\"module module-image tb_qelr3 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\" width=\"660\" height=\"85\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/web_ready_company_logo-D-Wave.png\" 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.png 660w, 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-367x46.png 367w\" sizes=\"auto, (max-width: 660px) 100vw, 660px\" \/>        <\/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_i4rp935 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_3ka1596   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3><span style=\"color: #274e13;\">Quantum Computing for Optimization<\/span><\/h3>\n<p><strong>Presented by: Catherine Potts<\/strong><\/p>\n<div>Quantum computing has gone from the lab to the enterprise, and a recent Hyperion Research study reported that respondents overwhelmingly indicated that quantum computing-based optimization capabilities are seen as integral to optimizing their key business processes. While you may think production use of quantum computers are years away, the first commercial quantum applications in production are using D-Wave\u2019s quantum technology.<\/div>\n<div>\u00a0<\/div>\n<div>This workshop will cover the following topics:<\/div>\n<div>\u00a0<\/div>\n<ul>\n<li>An introduction to quantum computers, quantum annealing, and optimization solvers<\/li>\n<li>What kinds of business problems are good candidates for quantum\/ hybrid solutions<\/li>\n<li>Use case examples: how quantum hybrid is being used for optimization applications such as resource and workforce scheduling, cargo loading and other complex business problems<\/li>\n<li>How quantum systems are programmed, and the tools for developers. This will include live demos and an introduction to Leap, D-Wave\u2019s real-time cloud service. Leap provides access to a portfolio of hybrid solvers, enabling enterprises to address all kinds of business problems that range in size and complexity.<\/li>\n<li>How to get started with quantum for business.<\/li>\n<\/ul>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"decisionbrain\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-decisionbrain tb_ounf626 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_esb5627 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_9k7u627   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>11am-12:45pm<br>Room 202<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module image -->\n<div  class=\"module module-image tb_x1wd448 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=\"1500\" height=\"367\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/DB-Logo-Color.png\" class=\"wp-post-image wp-image-9282\" title=\"DB-Logo-Color\" alt=\"DB-Logo-Color\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/DB-Logo-Color.png 1500w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/DB-Logo-Color-300x73.png 300w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/DB-Logo-Color-1024x251.png 1024w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/DB-Logo-Color-768x188.png 768w\" sizes=\"auto, (max-width: 1500px) 100vw, 1500px\" \/>    \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_mona627 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_0g6s627   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3><span style=\"color: #274e13;\">Democratizing Algorithm Deployment for Planning &amp; Scheduling<\/span><\/h3>\n<p><strong>Presented by: Justin Clark<\/strong><\/p>\n<p>Many organizations struggle to bridge the gap between algorithm development and real-world business applications, limiting the impact of optimization and AI-driven decision-making. This session explores how to streamline the transition from prototype to production using your own or open-source algorithms.<\/p>\n<p>With the DB Gene Platform as an accelerator, teams can focus on solving business challenges rather than managing infrastructure or building UIs. Through real-world examples, we\u2019ll demonstrate how organizations can rapidly deploy custom-fit, interactive applications, making advanced optimization intuitive, actionable, and seamlessly integrated into enterprise decision-making\u2014without requiring software development skills.<\/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_b28r398 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_0v43398 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_9s2s398   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>11am-12:45pm<br>Room 203<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module image -->\n<div  class=\"module module-image tb_1qk2398 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_qsn1398 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_0vpy398   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3><span style=\"color: #274e13;\">GAMSPy for Fast and Flexible Optimization in Python<\/span><\/h3>\n<p><strong>Presented by: Adam Christensen and Steven Dirkse<\/strong><\/p>\n<p>Join us for a workshop that introduces GAMSPy \u2014 a cutting-edge Python package that captures the speed and expressive power of set-based algebraic modeling languages while leveraging Python&#8217;s familiar syntax and robust and flexible ecosystem. Participants will learn how GAMSPy overcomes the challenges posed by conventional object-oriented frameworks to ensure both performance and clarity.<\/p>\n<p>Throughout the workshop, we will explore:<\/p>\n<ul>\n<li>The Foundations of Algebraic Modeling Languages (AMLs): Understand how AMLs \u2013 like GAMSPy \u2013 lead to clearer code, better maintainability, and a shorter develop-debug-deploy cycle for your team.<\/li>\n<li>Model Building: We will work through real-world inspired examples \u2014 from data ingestion and cleaning to constructing and solving optimization models with GAMSPy.<\/li>\n<li>Machine Learning (ML) in GAMSPy: Embedding ML models into optimization problems is an exciting opportunity to create surrogate models to complex systems. Learn how to train, extract, and embed these surrogate systems into a real-world inspired example using new tools being offered in GAMSPy.<\/li>\n<li>Modern Data Pipelines in Python: Learn how to integrate and clean data for use in GAMSPy models using the GAMS Transfer API as well as other GAMS data tools.<\/li>\n<\/ul>\n<p>This workshop is ideal for optimization professionals, researchers, and practitioners who are excited to integrate high performance optimization models directly into their existing Python environments.<\/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_7qxp820 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_fur8820 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_6xwg262   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>11am-12:45pm<br>Room 204<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module image -->\n<div  class=\"module module-image tb_885z743 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-723x1024-171x242.png\" width=\"171\" height=\"242\" 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-723x1024-171x242.png 171w, 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-723x1024-150x211.png 150w, 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: 171px) 100vw, 171px\" \/>    \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_tlkw820 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_skz1840   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3><span style=\"color: #274e13;\">Demand and Last Mile Logistics Planning Using ORMAE&#8217;s tools<\/span><\/h3>\n<p><strong>Presented by: Amit Garg<\/strong><\/p>\n<p><strong>OptiFIT<\/strong> <br>Join us for an exclusive workshop showcasing OptiFIT, our advanced forecasting and demand planning platform. Discover how OptiFIT leverages cutting-edge machine learning algorithms to enhance accuracy, optimise inventory, and drive better business decisions.<\/p>\n<p>We will walk you through the key capabilities:<\/p>\n<ul>\n<li>Hierarchical Forecasting \u2013 Generate accurate forecasts at multiple levels of granularity.<\/li>\n<li>Automatic Model Selection \u2013 Let OptiFIT choose the best-performing model for your data.<\/li>\n<li>Ensemble Model Selection \u2013 Improve forecast reliability with a blend of multiple models.<\/li>\n<li>Scalability &amp; Automation \u2013 Handle complex forecasting needs with minimal manual intervention.<\/li>\n<\/ul>\n<p>We will demonstrate OptiFIT\u2019s core functionalities and dive into the technical details behind its powerful performance.<\/p>\n<p>Don\u2019t miss this opportunity to explore the future of demand planning! <br><br><strong>RouteCap<\/strong> <br>RouteCap is a powerful engine for logistics optimization. The optimized plans generated adhere to time, zone, manpower and vehicle constraints as per your business operations requirement while balancing workload, minimizing the number of resources utilized and maximizing savings.<\/p>\n<p>If you are an organization that needs to plan customer delivery or visits across a geography on a regular basis, RouteCap can help you. In this workshop, you will experience power of math modelling to generate optimal routes for your trucks to fulfil orders.<\/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_1e4l236 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_rwjf236 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_yvpj237   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>11am-12:45pm<br \/>Room 205<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module image -->\n<div  class=\"module module-image tb_jya6221 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_tzj5237 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_bjek237   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3><span style=\"color: #274e13;\">SAS Analytics and AI<\/span><\/h3>\n<p><strong>Presented by: Rob Pratt and Yan Xu<\/strong><\/p>\n<p>SAS offers extensive analytic and AI capabilities, including machine learning, deep learning, natural language processing, statistical analysis, optimization, and simulation. SAS analytic and AI 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 equipped with AI-enabled automations and modern low-code or no-code user interfaces that democratize data science usage in your organization and offer unparalleled speed to value.<\/p>\n<p>We will first review the SAS analytics and AI portfolio, then highlight recently added optimization features (including automated Benders decomposition and support for Pyomo and PuLP), and finally explore several case studies in analytics and AI with a focus on optimization, deep learning and computer vision.<\/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_ucu879 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_dytg79 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_cjb5835   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>1-2:45pm<br \/>Room 201<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module image -->\n<div  class=\"module module-image tb_txby381 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_m96k79 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_x9zx29   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3><span style=\"color: #274e13;\">The Seeker Optimization Solver<\/span><\/h3>\n<p><strong>Presented by: Meinolf Sellmann<\/strong><\/p>\n<p>Learn how to create business-changing models using the revolutionary new solver Seeker! From lightning-fast discrete optimization, to non-hierarchical multi-objective, to non-convex, to stochastic and distributed optimization. You will learn hands-on how easy it is to create models that defy traditional solver technology with Seeker. Please bring your laptop!<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"jmpstasticaldiscovery\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-jmpstasticaldiscovery tb_2lh275 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_qwup75 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_ase375   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>1-2:45pm<br \/>Room 202<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module image -->\n<div  class=\"module module-image tb_vud675 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=\"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_xogl75 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_97hp75   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3><span style=\"color: #274e13;\">Data to Decisions, Faster and Smarter: Analytics Transformation with JMP<\/span><\/h3>\n<p><strong>Presented by: Muralidhara Anandamurthy<\/strong><\/p>\n<p>In today\u2019s data-driven world, the ability to swiftly transform insights into impactful decisions is a true game-changer. JMP empowers organizations to navigate this journey with speed, precision, and intelligence \u2014 offering a robust suite of tools for data exploration, predictive modeling, and statistical discovery. <br>By seamlessly bridging the gap between complex data and actionable insights, JMP drives analytics transformation, enabling faster, smarter, and more confident decision-making. Whether it\u2019s uncovering hidden patterns or optimizing processes, JMP turns your data into a powerful strategic asset.<\/p>\n<p>This session will showcase an engaging overview and live demonstration of JMP\u2019s diverse analytical capabilities, from data exploration and visualization to advanced analytics highlighting its role in effective problem solving and innovation. We will cover multivariate analysis, predictive modeling and machine learning, text mining, model comparison and deployment.<\/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_sjed827 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_6c59827 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_khtn827   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>1-2:45pm<br \/>Room 203<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module image -->\n<div  class=\"module module-image tb_fget827 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_eeia827 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_1ke7827   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3><span style=\"color: #274e13;\">Run, Test, Replay, Let It Flow: Applying DecisionOps or Better Decision Modeling, Explainability, Reproducibility, and Stakeholder Buy-In<\/span><\/h3>\n<p><strong>Presented by: Nicole Misek<\/strong><\/p>\n<p>Why did the optimization model pick this solution vs. another? How does the decision model perform under this range of conditions? How do I compare my plan to what the model chose? What is the best way to reproduce past model runs? Questions such as these are inherent to the journey to build, deploy, and advocate for decision models.<\/p>\n<p>This session will cover selected discussion points that arise throughout the decision model lifecycle that are often challenging to address using traditional approaches. With DecisionOps, we\u2019ll explore how more efficient methods for running decision models on remote infrastructure, simulating \u201cwhat if\u201d scenarios, reproducing past runs with a streamlined \u201creplay mode\u201d, setting up decision pipelines to automate workflows, and drive cohesive collaboration to catalyze stakeholder buy-in.<\/p>\n<p>Join us for this interactive session that will demonstrate these workflows, allow for hands-on experimentation, and Q&amp;A. This session is relevant to anyone working with tools such as: OR-Tools, Pyomo, HiGHS, VROOM, Gurobi, AMPL, Hexaly, Jupyter Notebooks, Plotly, Statsmodels, Prophet, and more.<\/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_zk0r763 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_zdc7763 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_zims349   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>1-2:45pm<br \/>Room 204<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module image -->\n<div  class=\"module module-image tb_6ah9884 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=\"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_62xc764 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_7e7f44   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3><span style=\"color: #274e13;\">Generative AI-Enhanced Mathematical Programming Workshop with <br>FICO Xpress<\/span><\/h3>\n<p><strong>Presented by: Alkis\u00a0Vazacopoulos<\/strong><\/p>\n<p>This workshop introduces participants to the transformative potential of generative AI in mathematical programming using FICO Xpress. Through hands-on demonstrations and practical exercises, attendees will learn how to leverage generative AI to streamline model development, enhance code generation, and improve result interpretation. The workshop covers key aspects including automated model formulation, intelligent debugging assistance, and AI-powered console output analysis. Participants will gain practical experience in using generative AI to solve complex optimization problems more efficiently, interpret solver outputs more effectively, and generate comprehensive documentation. This workshop is designed for optimization practitioners, researchers, and developers who want to enhance their mathematical programming workflow with state-of-the-art AI capabilities.<\/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_n9s3321 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_4o67321 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_9bps322   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>1-2:45pm<br \/>Room 205<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module image -->\n<div  class=\"module module-image tb_r93u635 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=\"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\" \/>    \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_u4y8322 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_6fip652   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3><span style=\"color: #274e13;\">Data-First Best Practices and Integrations with Princeton and Databricks<\/span><\/h3>\n<p><strong>Presented by: Irv Lustig and Siddhesh Pore<\/strong><\/p>\n<p>Many O.R. and Machine Learning textbooks and guides focus on the models and algorithms. Automated machine learning software assumes that your data is in an easily consumable format. Optimization software providers often give examples assuming that data is organized in data structures appropriate for modeling languages or programming idioms. In the real world, data is messy, and this workshop will address how to handle this challenge and achieve outstanding results.<\/p>\n<p>Significant work is required to organize and understand data and to successfully deliver advanced analytics solutions. Irv Lustig will discuss a \u201cData-First\u201d approach and, using examples, illustrate best practices for organizing data for machine learning and optimization with considerations for deployment in applications. Irv will also discuss the pitfalls that can occur by not taking numerous data-related issues into account when developing an application.<\/p>\n<p>Siddhesh (Sid) Pore will then discuss how Databricks\u2019s Data Intelligence platform enables building optimization techniques on the platform. Sid will present an overview of Databricks and its ability to handle large-scale data processing and analytics. Sid will delve into the integration of solvers within the Databricks environment, discussing various implementation options and best practices. The core of the discussion will focus on how Databricks can be used to prepare data, build optimization models, and efficiently solve complex decision problems at scale. Sid will cover the process of integrating solvers, managing data flows, and visualizing results.\u00a0<\/p>\n<p>Commercial-grade solvers like Gurobi, along with data and analytics platforms like Databricks, are increasingly being used by businesses to address optimization challenges. These platforms help prepare data inputs and turn solver outputs into actionable applications. To illustrate these concepts Sid will present a live demonstration, using Gurobi as the solver, walking step by step through integrating solves within Databricks.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"ampl\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-ampl tb_qde3607 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_yqk1607 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_l2kx607   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>3-4:45pm<br \/>Room 201<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module image -->\n<div  class=\"module module-image tb_thct607 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=\"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_9cbb608 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_3jwx608   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3><span style=\"color: #274e13;\">How Optimization Generates Millions: Cases from Energy, Transportation, Supply Chain, and Finance<\/span><\/h3>\n<p><strong>Presented by: Bob Fourer and Filipe Brandao<\/strong><\/p>\n<p>Optimization has always been a key methodology of Analytics, and today it has never been easier to apply successfully. Through a series of examples and case studies, this presentation\u00a0shows how recent advances in modeling, integration, and artificial\u00a0intelligence have made optimization more central than ever to generating revenue and improving profitability in key business areas.\u00a0<\/p>\n<p>We begin by outlining a proven approach to optimization that leverages the best features of two powerful implementation environments:\u00a0<\/p>\n<ul>\n<li>Development in AMPL&#8217;s\u00a0new MP modeling framework lets you formulate optimization problems more like you think about them, while automating the complicated and error-prone transformations required for use of advanced solver algorithms.\u00a0<\/li>\n<li>Deployment in amplpy integrates AMPL&#8217;s\u00a0modeling advantages with Python&#8217;s vast ecosystem for data preparation, solution analysis, and visualization.\u00a0<\/li>\n<\/ul>\n<p>Building on the technical advantages and broad applicability of AMPL MP and amplpy, the main part of the workshop features AMPL\u00a0+ Python solutions in four very different optimization-intensive application areas:<\/p>\n<ul>\n<li>Energy: day-ahead market clearing, economic dispatch, optimal power flow<\/li>\n<li>Transportation: airline crew scheduling<\/li>\n<li>Supply chain: production optimization, network design with redundancy<\/li>\n<li>Finance: tracking error minimization<\/li>\n<\/ul>\n<p>Our examples highlight how generative AI&#8217;s broad &#8220;knowledge&#8221; of Python packages speeds integration with data sources and interactive dashboards. The result is rapid development process that slashes the time and effort needed to produce a working application that&#8217;s ready for end-users.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"fico\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-fico tb_qv1v784 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_q1w6784 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_a4fx429   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>3-4:45pm<br>Room 202<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module image -->\n<div  class=\"module module-image tb_cgoe641 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\/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_8u7a784 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_yz8s283   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3><span style=\"color: #274e13;\">Turbocharge Your Optimization with the Latest Innovations in FICO\u00ae Xpress<\/span><\/h3>\n<p><strong>Presented by: Dinakar Gade<\/strong><\/p>\n<p>Join our workshop to discover the latest innovations in Xpress Solver. Get a firsthand look at how Xpress Insight empowers business users to harness the full potential of analytical models faster than ever before. Learn about the Compute Interface, the technology that is that is designed to handle large optimization workloads. Our expert demonstrations will also show you how industry leaders are transforming their businesses using Enterprise Optimization capabilities from FICO Platform.<\/p>\n<p>Experience the latest features and performance enhancements in FICO\u00ae Xpress Solver, including advances in mixed-integer linear and nonlinear optimization.<\/p>\n<p>FICO\u00ae Xpress Insight is a rapid application development and deployment framework that integrates with Xpress Solver and your own analytics. We will show how you can rapidly convert Python models into complete business applications with Xpress Insight to make your analytical models available to thousands of business users. FICO\u00ae Xpress Compute Interface allows you to seamless offload and manage optimization models with a client-server architecture. Based on the same technology stack as Xpress Insight, the Compute Interface is ready to your handle your optimization workloads.<\/p>\n<div>\u00a0<\/div>    <\/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_n5y7904 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_japd904 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_zqsj904   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>3-4:45pm<br>Room 203<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module image -->\n<div  class=\"module module-image tb_9kzz219 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=\"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_2igu905 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_v030769   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3><span style=\"color: #274e13;\">What\u2019s New in Gurobi 12.0: Defining, Solving, and Explaining Optimization Models and Solutions<\/span><\/h3>\n<p><strong>Presented by: Alison Cozad and Xavier Nodet<\/strong><\/p>\n<p>This workshop will cover two key topics: the Gurobi 12.0 release and how to both build optimization models with AI and use Gurobi\u2019s built-in tools to enhance solution explainability. <br><br>We\u2019ll begin with a review of Gurobi 12.0, highlighting performance improvements and enhancements to the global MINLP solver, first introduced in version 11.0. A key advancement is support for compound multivariate nonlinear expressions, eliminating the need for auxiliary variables and constraints. <br><br>Next, we\u2019ll focus on improving the entire process\u2014from problem definition to solution explanation. We\u2019ll start with Gurobi AI Modeling, a set of resources to help develop optimization problems and to learn modeling while navigating common pitfalls. But building a model is just the first step\u2014understanding its solutions is just as important. We\u2019ll explore Gurobi\u2019s features through the lens of solution explainability, including Solution Pools, Multi-Scenario Analysis, and Infeasibility Analysis, and how they help users interpret and trust their solutions. By showing you how to use both AI-assisted modeling and tools for solution interpretability, we\u2019ll demonstrate how to make optimization more accessible and actionable.<\/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_1ct8431 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_q4tg431 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_qwlh428   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>3-4:45pm<br>Room 204<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module image -->\n<div  class=\"module module-image tb_7439745 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_uta7431 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_o1kk621   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3><span style=\"color: #274e13;\">Hexaly, a New Kind of Global Optimization Solver<\/span><\/h3>\n<p><strong>Presented by: Fred Gardi<\/strong><\/p>\n<div>\n<p>Hexaly is a new type 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 programming, nonlinear programming, and constraint programming. Under the hood, Hexaly combines various exact and heuristic optimization methods: spatial branch-and-bound, simplex methods, interior-point methods, propagation, automatic branch-cut-price, local search, and surrogate modeling.<\/p>\n<p>Hexaly stands out from traditional solvers like Gurobi, CPLEX, and OR-Tools by delivering super-fast solutions to problems such as routing, sequencing, scheduling, packing, clustering, matching, assignment, and location. For example, Hexaly provides solutions close to the best-known results in the literature for vehicle routing problems with thousands of points and scheduling problems with millions of tasks, achieving this in just one minute of runtime on a basic computer.<\/p>\n<p>In addition to the Optimizer, Hexaly offers an innovative platform called Hexaly Studio, designed to prototype, develop, and deploy optimization applications quickly in a low-code fashion. This web-based platform is also well-suited for educational purposes; like all other Hexaly products, it is free for faculty and students.<\/p>\n<\/div>    <\/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_pbp9640 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_93sc641 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_t6fx641   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p><strong>3-4:45pm<br>Room 205<\/strong><\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module image -->\n<div  class=\"module module-image tb_7sww980 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=\"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_yxcw641 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_qect34   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h3><span style=\"color: #274e13;\">Using Simul8 for Real-time Decision Making with Digital Twins<\/span><\/h3>\n<p><strong>Presented by: Cheryl Pammer<\/strong><\/p>\n<p>In this interactive session, you will take on two real-world capital expenditure (CAPEX) decisions, first using basic calculations and then refining your choices after running a simple simulation model using Simul8. This hands-on approach will highlight the risks of overestimating or underestimating investment needs and demonstrate how Discrete Event Simulation (DES) can provide data-driven insights to make more confident, cost-effective decisions.<\/p>\n<p>Next, you\u2019ve built a simulation to support a critical CAPEX decision\u2014now, how can you leverage that investment for ongoing operational decision-making? We\u2019ll explore how to use the same simulation to drive efficiencies, reduce costs, and support faster, data-driven choices in day-to-day operations. Through interactive examples, we\u2019ll demonstrate how well-designed Simul8-powered Digital Twins are dynamic resources that continuously deliver value, saving time and money every time a crucial decision arises.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n        <\/div>\n<!--\/themify_builder_content-->","protected":false},"excerpt":{"rendered":"<p>&lt;h3 style&gt;Sunday, April 6&lt;\/h3&gt;<\/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-7965","page","type-page","status-publish","hentry","has-post-title","has-post-date","has-post-category","has-post-tag","has-post-comment","has-post-author",""],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.0 (Yoast SEO v26.0) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Exhibitor Workshops - 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While you may think production use of quantum computers are years away, the first commercial quantum applications in production are using D-Wave\u2019s quantum technology. \u00a0 This workshop will cover the following topics: \u00a0 <ul> <li>An introduction to quantum computers, quantum annealing, and optimization solvers<\/li> <li>What kinds of business problems are good candidates for quantum\/ hybrid solutions<\/li> <li>Use case examples: how quantum hybrid is being used for optimization applications such as resource and workforce scheduling, cargo loading and other complex business problems<\/li> <li>How quantum systems are programmed, and the tools for developers. This will include live demos and an introduction to Leap, D-Wave\u2019s real-time cloud service. Leap provides access to a portfolio of hybrid solvers, enabling enterprises to address all kinds of business problems that range in size and complexity.<\/li> <li>How to get started with quantum for business.<\/li> <\/ul>\n<p><strong>11am-12:45pm<br>Room 202<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/DB-Logo-Color.png\" title=\"DB-Logo-Color\" alt=\"DB-Logo-Color\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/DB-Logo-Color.png 1500w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/DB-Logo-Color-300x73.png 300w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/DB-Logo-Color-1024x251.png 1024w, https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/02\/DB-Logo-Color-768x188.png 768w\" sizes=\"(max-width: 1500px) 100vw, 1500px\" \/>\n<h3>Democratizing Algorithm Deployment for Planning &amp; Scheduling<\/h3> <p><strong>Presented by: Justin Clark<\/strong><\/p> <p>Many organizations struggle to bridge the gap between algorithm development and real-world business applications, limiting the impact of optimization and AI-driven decision-making. This session explores how to streamline the transition from prototype to production using your own or open-source algorithms.<\/p> <p>With the DB Gene Platform as an accelerator, teams can focus on solving business challenges rather than managing infrastructure or building UIs. Through real-world examples, we\u2019ll demonstrate how organizations can rapidly deploy custom-fit, interactive applications, making advanced optimization intuitive, actionable, and seamlessly integrated into enterprise decision-making\u2014without requiring software development skills.<\/p>\n<p><strong>11am-12:45pm<br>Room 203<\/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>GAMSPy for Fast and Flexible Optimization in Python<\/h3> <p><strong>Presented by: Adam Christensen and Steven Dirkse<\/strong><\/p> <p>Join us for a workshop that introduces GAMSPy \u2014 a cutting-edge Python package that captures the speed and expressive power of set-based algebraic modeling languages while leveraging Python's familiar syntax and robust and flexible ecosystem. Participants will learn how GAMSPy overcomes the challenges posed by conventional object-oriented frameworks to ensure both performance and clarity.<\/p> <p>Throughout the workshop, we will explore:<\/p> <ul> <li>The Foundations of Algebraic Modeling Languages (AMLs): Understand how AMLs \u2013 like GAMSPy \u2013 lead to clearer code, better maintainability, and a shorter develop-debug-deploy cycle for your team.<\/li> <li>Model Building: We will work through real-world inspired examples \u2014 from data ingestion and cleaning to constructing and solving optimization models with GAMSPy.<\/li> <li>Machine Learning (ML) in GAMSPy: Embedding ML models into optimization problems is an exciting opportunity to create surrogate models to complex systems. Learn how to train, extract, and embed these surrogate systems into a real-world inspired example using new tools being offered in GAMSPy.<\/li> <li>Modern Data Pipelines in Python: Learn how to integrate and clean data for use in GAMSPy models using the GAMS Transfer API as well as other GAMS data tools.<\/li> <\/ul> <p>This workshop is ideal for optimization professionals, researchers, and practitioners who are excited to integrate high performance optimization models directly into their existing Python environments.<\/p>\n<p><strong>11am-12:45pm<br>Room 204<\/strong><\/p>\n<img src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/files\/2025\/01\/ORMAE-web_ready_company_logo-V-723x1024-171x242.png\" width=\"171\" height=\"242\" 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-723x1024-171x242.png 171w, 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-723x1024-150x211.png 150w, 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: 171px) 100vw, 171px\" \/>\n<h3>Demand and Last Mile Logistics Planning Using ORMAE's tools<\/h3> <p><strong>Presented by: Amit Garg<\/strong><\/p> <p><strong>OptiFIT<\/strong> <br>Join us for an exclusive workshop showcasing OptiFIT, our advanced forecasting and demand planning platform. Discover how OptiFIT leverages cutting-edge machine learning algorithms to enhance accuracy, optimise inventory, and drive better business decisions.<\/p> <p>We will walk you through the key capabilities:<\/p> <ul> <li>Hierarchical Forecasting \u2013 Generate accurate forecasts at multiple levels of granularity.<\/li> <li>Automatic Model Selection \u2013 Let OptiFIT choose the best-performing model for your data.<\/li> <li>Ensemble Model Selection \u2013 Improve forecast reliability with a blend of multiple models.<\/li> <li>Scalability &amp; Automation \u2013 Handle complex forecasting needs with minimal manual intervention.<\/li> <\/ul> <p>We will demonstrate OptiFIT\u2019s core functionalities and dive into the technical details behind its powerful performance.<\/p> <p>Don\u2019t miss this opportunity to explore the future of demand planning! <br><br><strong>RouteCap<\/strong> <br>RouteCap is a powerful engine for logistics optimization. The optimized plans generated adhere to time, zone, manpower and vehicle constraints as per your business operations requirement while balancing workload, minimizing the number of resources utilized and maximizing savings.<\/p> <p>If you are an organization that needs to plan customer delivery or visits across a geography on a regular basis, RouteCap can help you. In this workshop, you will experience power of math modelling to generate optimal routes for your trucks to fulfil orders.<\/p>\n<p><strong>11am-12:45pm<br \/>Room 205<\/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>SAS Analytics and AI<\/h3> <p><strong>Presented by: Rob Pratt and Yan Xu<\/strong><\/p> <p>SAS offers extensive analytic and AI capabilities, including machine learning, deep learning, natural language processing, statistical analysis, optimization, and simulation. SAS analytic and AI 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 equipped with AI-enabled automations and modern low-code or no-code user interfaces that democratize data science usage in your organization and offer unparalleled speed to value.<\/p> <p>We will first review the SAS analytics and AI portfolio, then highlight recently added optimization features (including automated Benders decomposition and support for Pyomo and PuLP), and finally explore several case studies in analytics and AI with a focus on optimization, deep learning and computer vision.<\/p>\n<p><strong>1-2:45pm<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>The Seeker Optimization Solver<\/h3> <p><strong>Presented by: Meinolf Sellmann<\/strong><\/p> <p>Learn how to create business-changing models using the revolutionary new solver Seeker! From lightning-fast discrete optimization, to non-hierarchical multi-objective, to non-convex, to stochastic and distributed optimization. You will learn hands-on how easy it is to create models that defy traditional solver technology with Seeker. Please bring your laptop!<\/p>\n<p><strong>1-2:45pm<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>Data to Decisions, Faster and Smarter: Analytics Transformation with JMP<\/h3> <p><strong>Presented by: Muralidhara Anandamurthy<\/strong><\/p> <p>In today\u2019s data-driven world, the ability to swiftly transform insights into impactful decisions is a true game-changer. JMP empowers organizations to navigate this journey with speed, precision, and intelligence \u2014 offering a robust suite of tools for data exploration, predictive modeling, and statistical discovery. <br>By seamlessly bridging the gap between complex data and actionable insights, JMP drives analytics transformation, enabling faster, smarter, and more confident decision-making. Whether it\u2019s uncovering hidden patterns or optimizing processes, JMP turns your data into a powerful strategic asset.<\/p> <p>This session will showcase an engaging overview and live demonstration of JMP\u2019s diverse analytical capabilities, from data exploration and visualization to advanced analytics highlighting its role in effective problem solving and innovation. We will cover multivariate analysis, predictive modeling and machine learning, text mining, model comparison and deployment.<\/p>\n<p><strong>1-2:45pm<br \/>Room 203<\/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>Run, Test, Replay, Let It Flow: Applying DecisionOps or Better Decision Modeling, Explainability, Reproducibility, and Stakeholder Buy-In<\/h3> <p><strong>Presented by: Nicole Misek<\/strong><\/p> <p>Why did the optimization model pick this solution vs. another? How does the decision model perform under this range of conditions? How do I compare my plan to what the model chose? What is the best way to reproduce past model runs? Questions such as these are inherent to the journey to build, deploy, and advocate for decision models.<\/p> <p>This session will cover selected discussion points that arise throughout the decision model lifecycle that are often challenging to address using traditional approaches. With DecisionOps, we\u2019ll explore how more efficient methods for running decision models on remote infrastructure, simulating \u201cwhat if\u201d scenarios, reproducing past runs with a streamlined \u201creplay mode\u201d, setting up decision pipelines to automate workflows, and drive cohesive collaboration to catalyze stakeholder buy-in.<\/p> <p>Join us for this interactive session that will demonstrate these workflows, allow for hands-on experimentation, and Q&amp;A. This session is relevant to anyone working with tools such as: OR-Tools, Pyomo, HiGHS, VROOM, Gurobi, AMPL, Hexaly, Jupyter Notebooks, Plotly, Statsmodels, Prophet, and more.<\/p>\n<p><strong>1-2:45pm<br \/>Room 204<\/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-Enhanced Mathematical Programming Workshop with <br>FICO Xpress<\/h3> <p><strong>Presented by: Alkis\u00a0Vazacopoulos<\/strong><\/p> <p>This workshop introduces participants to the transformative potential of generative AI in mathematical programming using FICO Xpress. Through hands-on demonstrations and practical exercises, attendees will learn how to leverage generative AI to streamline model development, enhance code generation, and improve result interpretation. The workshop covers key aspects including automated model formulation, intelligent debugging assistance, and AI-powered console output analysis. Participants will gain practical experience in using generative AI to solve complex optimization problems more efficiently, interpret solver outputs more effectively, and generate comprehensive documentation. This workshop is designed for optimization practitioners, researchers, and developers who want to enhance their mathematical programming workflow with state-of-the-art AI capabilities.<\/p>\n<p><strong>1-2:45pm<br \/>Room 205<\/strong><\/p>\n<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\" \/>\n<h3>Data-First Best Practices and Integrations with Princeton and Databricks<\/h3> <p><strong>Presented by: Irv Lustig and Siddhesh Pore<\/strong><\/p> <p>Many O.R. and Machine Learning textbooks and guides focus on the models and algorithms. Automated machine learning software assumes that your data is in an easily consumable format. Optimization software providers often give examples assuming that data is organized in data structures appropriate for modeling languages or programming idioms. In the real world, data is messy, and this workshop will address how to handle this challenge and achieve outstanding results.<\/p> <p>Significant work is required to organize and understand data and to successfully deliver advanced analytics solutions. Irv Lustig will discuss a \u201cData-First\u201d approach and, using examples, illustrate best practices for organizing data for machine learning and optimization with considerations for deployment in applications. Irv will also discuss the pitfalls that can occur by not taking numerous data-related issues into account when developing an application.<\/p> <p>Siddhesh (Sid) Pore will then discuss how Databricks\u2019s Data Intelligence platform enables building optimization techniques on the platform. Sid will present an overview of Databricks and its ability to handle large-scale data processing and analytics. Sid will delve into the integration of solvers within the Databricks environment, discussing various implementation options and best practices. The core of the discussion will focus on how Databricks can be used to prepare data, build optimization models, and efficiently solve complex decision problems at scale. Sid will cover the process of integrating solvers, managing data flows, and visualizing results.\u00a0<\/p> <p>Commercial-grade solvers like Gurobi, along with data and analytics platforms like Databricks, are increasingly being used by businesses to address optimization challenges. These platforms help prepare data inputs and turn solver outputs into actionable applications. To illustrate these concepts Sid will present a live demonstration, using Gurobi as the solver, walking step by step through integrating solves within Databricks.<\/p>\n<p><strong>3-4:45pm<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>How Optimization Generates Millions: Cases from Energy, Transportation, Supply Chain, and Finance<\/h3> <p><strong>Presented by: Bob Fourer and Filipe Brandao<\/strong><\/p> <p>Optimization has always been a key methodology of Analytics, and today it has never been easier to apply successfully. Through a series of examples and case studies, this presentation\u00a0shows how recent advances in modeling, integration, and artificial\u00a0intelligence have made optimization more central than ever to generating revenue and improving profitability in key business areas.\u00a0<\/p> <p>We begin by outlining a proven approach to optimization that leverages the best features of two powerful implementation environments:\u00a0<\/p> <ul> <li>Development in AMPL's\u00a0new MP modeling framework lets you formulate optimization problems more like you think about them, while automating the complicated and error-prone transformations required for use of advanced solver algorithms.\u00a0<\/li> <li>Deployment in amplpy integrates AMPL's\u00a0modeling advantages with Python's vast ecosystem for data preparation, solution analysis, and visualization.\u00a0<\/li> <\/ul> <p>Building on the technical advantages and broad applicability of AMPL MP and amplpy, the main part of the workshop features AMPL\u00a0+ Python solutions in four very different optimization-intensive application areas:<\/p> <ul> <li>Energy: day-ahead market clearing, economic dispatch, optimal power flow<\/li> <li>Transportation: airline crew scheduling<\/li> <li>Supply chain: production optimization, network design with redundancy<\/li> <li>Finance: tracking error minimization<\/li> <\/ul> <p>Our examples highlight how generative AI's broad \"knowledge\" of Python packages speeds integration with data sources and interactive dashboards. The result is rapid development process that slashes the time and effort needed to produce a working application that's ready for end-users.<\/p>\n<p><strong>3-4:45pm<br>Room 202<\/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>Turbocharge Your Optimization with the Latest Innovations in FICO\u00ae Xpress<\/h3> <p><strong>Presented by: Dinakar Gade<\/strong><\/p> <p>Join our workshop to discover the latest innovations in Xpress Solver. Get a firsthand look at how Xpress Insight empowers business users to harness the full potential of analytical models faster than ever before. Learn about the Compute Interface, the technology that is that is designed to handle large optimization workloads. Our expert demonstrations will also show you how industry leaders are transforming their businesses using Enterprise Optimization capabilities from FICO Platform.<\/p> <p>Experience the latest features and performance enhancements in FICO\u00ae Xpress Solver, including advances in mixed-integer linear and nonlinear optimization.<\/p> <p>FICO\u00ae Xpress Insight is a rapid application development and deployment framework that integrates with Xpress Solver and your own analytics. We will show how you can rapidly convert Python models into complete business applications with Xpress Insight to make your analytical models available to thousands of business users. FICO\u00ae Xpress Compute Interface allows you to seamless offload and manage optimization models with a client-server architecture. Based on the same technology stack as Xpress Insight, the Compute Interface is ready to your handle your optimization workloads.<\/p> \u00a0\n<p><strong>3-4:45pm<br>Room 203<\/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>What\u2019s New in Gurobi 12.0: Defining, Solving, and Explaining Optimization Models and Solutions<\/h3> <p><strong>Presented by: Alison Cozad and Xavier Nodet<\/strong><\/p> <p>This workshop will cover two key topics: the Gurobi 12.0 release and how to both build optimization models with AI and use Gurobi\u2019s built-in tools to enhance solution explainability. <br><br>We\u2019ll begin with a review of Gurobi 12.0, highlighting performance improvements and enhancements to the global MINLP solver, first introduced in version 11.0. A key advancement is support for compound multivariate nonlinear expressions, eliminating the need for auxiliary variables and constraints. <br><br>Next, we\u2019ll focus on improving the entire process\u2014from problem definition to solution explanation. We\u2019ll start with Gurobi AI Modeling, a set of resources to help develop optimization problems and to learn modeling while navigating common pitfalls. But building a model is just the first step\u2014understanding its solutions is just as important. We\u2019ll explore Gurobi\u2019s features through the lens of solution explainability, including Solution Pools, Multi-Scenario Analysis, and Infeasibility Analysis, and how they help users interpret and trust their solutions. By showing you how to use both AI-assisted modeling and tools for solution interpretability, we\u2019ll demonstrate how to make optimization more accessible and actionable.<\/p>\n<p><strong>3-4:45pm<br>Room 204<\/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>Hexaly, a New Kind of Global Optimization Solver<\/h3> <p><strong>Presented by: Fred Gardi<\/strong><\/p>\n<p>Hexaly is a new type 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 programming, nonlinear programming, and constraint programming. Under the hood, Hexaly combines various exact and heuristic optimization methods: spatial branch-and-bound, simplex methods, interior-point methods, propagation, automatic branch-cut-price, local search, and surrogate modeling.<\/p> <p>Hexaly stands out from traditional solvers like Gurobi, CPLEX, and OR-Tools by delivering super-fast solutions to problems such as routing, sequencing, scheduling, packing, clustering, matching, assignment, and location. For example, Hexaly provides solutions close to the best-known results in the literature for vehicle routing problems with thousands of points and scheduling problems with millions of tasks, achieving this in just one minute of runtime on a basic computer.<\/p> <p>In addition to the Optimizer, Hexaly offers an innovative platform called Hexaly Studio, designed to prototype, develop, and deploy optimization applications quickly in a low-code fashion. This web-based platform is also well-suited for educational purposes; like all other Hexaly products, it is free for faculty and students.<\/p>\n<p><strong>3-4:45pm<br>Room 205<\/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>Using Simul8 for Real-time Decision Making with Digital Twins<\/h3> <p><strong>Presented by: Cheryl Pammer<\/strong><\/p> <p>In this interactive session, you will take on two real-world capital expenditure (CAPEX) decisions, first using basic calculations and then refining your choices after running a simple simulation model using Simul8. This hands-on approach will highlight the risks of overestimating or underestimating investment needs and demonstrate how Discrete Event Simulation (DES) can provide data-driven insights to make more confident, cost-effective decisions.<\/p> <p>Next, you\u2019ve built a simulation to support a critical CAPEX decision\u2014now, how can you leverage that investment for ongoing operational decision-making? We\u2019ll explore how to use the same simulation to drive efficiencies, reduce costs, and support faster, data-driven choices in day-to-day operations. Through interactive examples, we\u2019ll demonstrate how well-designed Simul8-powered Digital Twins are dynamic resources that continuously deliver value, saving time and money every time a crucial decision arises.<\/p>","_links":{"self":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/wp-json\/wp\/v2\/pages\/7965","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=7965"}],"version-history":[{"count":235,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/wp-json\/wp\/v2\/pages\/7965\/revisions"}],"predecessor-version":[{"id":9509,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/wp-json\/wp\/v2\/pages\/7965\/revisions\/9509"}],"wp:attachment":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2025\/wp-json\/wp\/v2\/media?parent=7965"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}