{"id":610,"date":"2022-01-07T18:08:14","date_gmt":"2022-01-07T18:08:14","guid":{"rendered":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/?page_id=610"},"modified":"2022-03-29T20:17:30","modified_gmt":"2022-03-29T20:17:30","slug":"technology-tutorials","status":"publish","type":"page","link":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/tracks\/technology-tutorials\/","title":{"rendered":"Technology Tutorials"},"content":{"rendered":"<!--themify_builder_content-->\n<div id=\"themify_builder_content-610\" data-postid=\"610\" class=\"themify_builder_content themify_builder_content-610 themify_builder tf_clear\">\n                    <div  data-lazy=\"1\" class=\"module_row themify_builder_row tb_m675379 tb_first tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_2 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col4-3 tb_ayg4381 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_cvnq76   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p>Join the conference exhibitors as they discuss innovations and best practices in the field.\u00a0<\/p>\n<p><b>Descriptions and times below:<\/b><\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-1 tb_2lnt239 last\">\n                            <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"aimms\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-aimms tb_qoiv866 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_zwco867 first\">\n                            <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_2 tb_68bs438\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column col4-1 tb_x5u9439 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_ln6m939 image-top   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <a href=\"https:\/\/www.aimms.com\/\">\n                   <img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"156\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/01\/AIMMS_logo_S_RGB.gif_Small.gif\" class=\"wp-post-image wp-image-676\" title=\"AIMMS_logo_S_RGB.gif_Small\" alt=\"AIMMS_logo_S_RGB.gif_Small\">        <\/a>\n    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column sub_column col4-3 tb_w9zd439 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_hs2q329   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>AIMMS<\/h2>\n<h3>Supply Chain Network Design with Scenario Modeling and Center of Gravity<\/h3>\n<p><strong>Monday, April 4, 1:50-2:40pm, Room Sugarland A<br><\/strong>Presented by: Linlin Ma &amp; N.S. Krishnan<\/p>\n<p>Systematically solve strategic supply chain problems using AIMMS Network Design. You will learn how to run multiple scenarios to expose hidden opportunities and risks in your network. You will also understand how to optimize its flows, resource capacities, locations, and overall supply chain footprint. On top of that, you will learn to use Center of Gravity analyses to provide new candidate DC locations based on existing demand and supply.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n        <!-- module divider -->\n<div  class=\"module tf_mw module-divider tb_ise2362 solid   \" style=\"border-width: 1px;border-color: #202225;\" data-lazy=\"1\">\n    <\/div>\n<!-- \/module divider -->\n        <\/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_38e6947 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_xcag948 first\">\n                            <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_2 tb_l7ba948\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column col4-1 tb_ovyw949 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_2f34949 image-top   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <a href=\"https:\/\/www.aimms.com\/\">\n                   <img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"235\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/02\/AMPL-300.jpg\" class=\"wp-post-image wp-image-1688\" title=\"AMPL-300\" alt=\"AMPL-300\">        <\/a>\n    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column sub_column col4-3 tb_cyhn950 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_hryw950   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>AMPL<\/h2>\n<h3>Optimization in Your Toolchain:\u00a0 How AMPL is Making it Faster and Easier<\/h3>\n<p><strong>Tuesday, April 5, 9:10-10am, Room Sugarland A<br><\/strong>Presented by: Robert Fourer<\/p>\n<p>Optimization has been fundamental to Analytics for as long as there have been computers, yet we are still finding ways to make optimization software more natural to use, faster to run, and easier to integrate with enterprise systems. In this presentation, you\u2019ll learn how AMPL\u2019s modeling framework has been enhanced to support optimization in today\u2019s challenging applications. Topics include:<\/p>\n<ul>\n<li>Expressing constraint logic more directly and understandably.<\/li>\n<li>Exchanging data and results directly and efficiently with spreadsheets and database systems.<\/li>\n<li>Interfacing to business systems through APIs for popular programming languages.<\/li>\n<li>Deploying optimization in cloud environments and containers.<\/li>\n<\/ul>\n<p>To round out the presentation, the theme of adding optimization to applications will be illustrated by several varied case studies.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n        <!-- module divider -->\n<div  class=\"module tf_mw module-divider tb_ok4b950 solid   \" style=\"border-width: 1px;border-color: #202225;\" data-lazy=\"1\">\n    <\/div>\n<!-- \/module divider -->\n        <\/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_wiz2824 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_ouus825 first\">\n                            <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_2 tb_22tg825\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column col4-1 tb_exsm825 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_av8y825 image-top   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <a href=\"https:\/\/decisionbrain.com\/\" rel=\"noopener\" target=\"_blank\">\n                   <img loading=\"lazy\" decoding=\"async\" width=\"1500\" height=\"367\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/01\/DB-Logo-Color-Slogan-TM.png\" class=\"wp-post-image wp-image-1055\" title=\"DB - Logo - Color Slogan TM\" alt=\"DB - Logo - Color Slogan TM\">        <\/a>\n    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column sub_column col4-3 tb_wqdg826 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_0box826   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>DecisionBrain<\/h2>\n<h3>DB Gene: A Platform to Build Workforce and Manufacturing Optimization Solutions<\/h3>\n<p><strong>Monday, April 4, 11:30am-12:20pm, Room Tanglewood<br><\/strong>Presented by: Issam Mazhoud<br><br>In this presentation, we will show with two case studies how the same platform can be customized to two different business problems. The first is about a workforce solution that optimizes tactical planning and operational scheduling. The second talks about a manufacturing solution that optimizes production planning and scheduling.<br>DB Gene is based on state-of-the-art technologies and made of standard components. It provides out-of-the-box web user interface components, data and scenario management services, user access and profiling components, and a tasks server that can manage several computation processes in parallel, on-premise, or in the Cloud.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n        <!-- module divider -->\n<div  class=\"module tf_mw module-divider tb_b1c3826 solid   \" style=\"border-width: 1px;border-color: #202225;\" data-lazy=\"1\">\n    <\/div>\n<!-- \/module divider -->\n        <\/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_mydt285 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_dnfa286 first\">\n                            <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_2 tb_anna286\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column col4-1 tb_a3h5287 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_sm5f287 image-top   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <a href=\"https:\/\/www.fico.com\/en\/products\/fico-xpress-optimization\" rel=\"noopener\" target=\"_blank\">\n                   <img loading=\"lazy\" decoding=\"async\" width=\"241\" height=\"94\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/02\/FICO-Xpress-Optimization-Color.jpg\" class=\"wp-post-image wp-image-1123\" title=\"FICO-Xpress-Optimization Color\" alt=\"FICO-Xpress-Optimization Color\">        <\/a>\n    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column sub_column col4-3 tb_mica287 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_q8hj287   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>FICO<\/h2>\n<h3>End-to-End FICO<sup>\u00ae<\/sup> Xpress Insight\u00a0Tutorial: From Data to Decisions for Non-Technical Business Users<\/h3>\n<p><strong>Tuesday, April 5, 1:50-2:40pm, Room Tanglewood<br><\/strong>Presented by: Majid Bazrafshan<\/p>\n<p>You have a team with a great analytics background. They\u2019ve developed advanced analytical tools using Python, R, or your current optimization solver. They\u2019ve derived crucial insights from your data and figured out how your decisions shape your customers\u2019 behaviors. Now it\u2019s time to put these critical analytical insights into the hands of your non-technical business users.<\/p>\n<p>In this\u00a0tutorial, you\u2019ll learn how FICO\u2019s Xpress Optimization\u00a0solutions\u00a0(including Xpress Mosel, Xpress Workbench, Xpress Solver and Xpress Insight) make it possible to embed your analytic models in business user-friendly applications.\u00a0See how\u00a0to supercharge your analytic models with simulation, optimization, reporting, what-if analysis, and agile extensibility for your ever-changing business.\u00a0Plus, you\u2019ll discover how to use the new View Designer to reduce GUI development times from minutes to seconds.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n        <!-- module divider -->\n<div  class=\"module tf_mw module-divider tb_bdxt288 solid   \" style=\"border-width: 1px;border-color: #202225;\" data-lazy=\"1\">\n    <\/div>\n<!-- \/module divider -->\n        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"gams\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-gams tb_8qvz521 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_ha67522 first\">\n                            <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_2 tb_k6ku522\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column col4-1 tb_vbvt522 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_c2gg523 image-top   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <a href=\"https:\/\/www.gurobi.com\/\" rel=\"noopener\" target=\"_blank\">\n                   <img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"96\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/02\/GAMS_Logo_INFORMS.png\" class=\"wp-post-image wp-image-1448\" title=\"GAMS_Logo_INFORMS\" alt=\"GAMS_Logo_INFORMS\">        <\/a>\n    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column sub_column col4-3 tb_r3ep523 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_5jcw523   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>GAMS<\/h2>\n<h3>Model Deployment and Data Wrangling with GAMS Engine and GAMS Transfer<\/h3>\n<p><strong>Tuesday, April 5, 10:30-11:20am, Sugarland A<br><\/strong>Presented by: Adam Christensen &amp; Stefan Mann<\/p>\n<p>The right tools help you deploy your GAMS model and maximize the impact of your decision support application.<br>GAMS Engine is a powerful tool for solving GAMS models, either on-prem or in the cloud. Engine acts as a broker between applications or users with GAMS models to solve and the computational resources used for this task. Central to Engine is a modern REST API that provides an interface to a scalable, containerized system of services, providing API, database, queue, and a configurable number of GAMS workers. GAMS Engine is available as a standalone application, or as a Software-As-A-Service solution running on AWS.<\/p>\n<p>GAMS Transfer is an API (available in Python, Matlab, and soon R) that makes moving data between GAMS and your computational environment fast and easy. By leveraging open source data science tools such as Pandas\/Numpy, GAMS Transfer is able to take advantage of a suite of useful (and platform independent) I\/O tools to deposit data into GDX or withdraw GDX results to a number of data endpoints (i.e., visualizations,<br>databases, etc.).<\/p>\n<p>In this session we will go through the necessary steps to get started with GAMS Engine<br>and GAMS Transfer.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n        <!-- module divider -->\n<div  class=\"module tf_mw module-divider tb_1ph5523 solid   \" style=\"border-width: 1px;border-color: #202225;\" data-lazy=\"1\">\n    <\/div>\n<!-- \/module divider -->\n        <\/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_k5i1663 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_ctus664 first\">\n                            <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_2 tb_tffc664\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column col4-1 tb_otae664 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_kvww664 image-top   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <a href=\"https:\/\/www.gurobi.com\/\" rel=\"noopener\" target=\"_blank\">\n                   <img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"81\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/02\/gurobi_logo.jpg\" class=\"wp-post-image wp-image-1065\" title=\"gurobi_logo\" alt=\"gurobi_logo\">        <\/a>\n    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column sub_column col4-3 tb_aqx3664 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_qosm664   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>Gurobi Optimization<\/h2>\n<h3>Learn about Gurobi&#8217;s Educational Resources &amp; Play our Optimization Game<\/h3>\n<p><strong>Monday, April 4, 1:50-2:40pm, Room Tanglewood<\/strong><\/p>\n<p>Presented by: Alison Cozad, Optimization Engineer, Cara Touretzky, Technical Account Manager, and Lindsay Montanari, Academic Program Director<strong><br><\/strong><\/p>\n<p>Gurobi is a company that has education at the core of what we do; because of this, we strive to find ways to give back to the optimization community that has helped shape us. Gurobi Optimization has developed and released open education tools to teach users why optimization is valuable, why it\u2019s difficult, and why solvers and other optimization algorithms are essential in finding the best solution for their problem solving.<\/p>\n<p>If you are looking to help teach your colleagues optimization or are new to optimization yourself, join Gurobi experts to dive into our new optimization game and take a tour of our suite of free education tools.\u00a0 \u00a0<\/p>\n<p>Please bring your laptops to get the full benefit of this hands-on tutorial (including game play and a review of available guides).<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n        <!-- module divider -->\n<div  class=\"module tf_mw module-divider tb_12tq665 solid   \" style=\"border-width: 1px;border-color: #202225;\" data-lazy=\"1\">\n    <\/div>\n<!-- \/module divider -->\n        <\/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_m5xy457 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_i6f3458 first\">\n                            <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_2 tb_8sa5458\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column col4-1 tb_xnsp458 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_c60j458 image-top   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <a href=\"https:\/\/www.jmp.com\/en_us\/home.html\" rel=\"noopener\" target=\"_blank\">\n                   <img decoding=\"async\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/03\/JMP-logo-color.jpg\" width=\"200\" class=\"wp-post-image wp-image-2486\" title=\"JMP-logo-color\" alt=\"JMP-logo-color\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/03\/JMP-logo-color.jpg 678w, https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/03\/JMP-logo-color-300x201.jpg 300w\" sizes=\"(max-width: 678px) 100vw, 678px\" \/>        <\/a>\n    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column sub_column col4-3 tb_ks9h458 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_mqub459   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>JMP Statistical Discovery<\/h2>\n<h3>Adding Sentiment Analysis to the Curriculum of Introductory Analytics Courses<\/h3>\n<p><strong>Tuesday, April 5, 11:30am-12:20pm, Room Sugarland A<\/strong><\/p>\n<p>Presented by: Kevin Potcner<strong><br><\/strong><\/p>\n<p>JMP Pro Statistical software has made analyzing unstructured text data simple and engaging. Requiring no prior experience in the concepts of formal statistical analyses (confidence intervals, p-values, models, etc.), extracting meaning from a large collection of text can now be done by even students brand new to the world of analytics.<br><br>And with today\u2019s students being intimately familiar with these type of data, the value of such analyses is easily appreciated by any student. Using JMP Pro statistical software, the presenter will illustrate the process of analyzing text data including Sentiment Analysis \u2013 the process of quantifying the amount of positive\/negative meaning.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n        <!-- module divider -->\n<div  class=\"module tf_mw module-divider tb_kujy459 solid   \" style=\"border-width: 1px;border-color: #202225;\" data-lazy=\"1\">\n    <\/div>\n<!-- \/module divider -->\n        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"kpmg\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-kpmg tb_w7ry293 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_6m7t293 first\">\n                            <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_2 tb_bt2k294\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column col4-1 tb_ltaq294 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_235t294 image-top   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <a href=\"https:\/\/home.kpmg\/xx\/en\/home.html\" rel=\"noopener\" target=\"_blank\">\n                   <img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"131\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/02\/KPMG_NoCP_RGB_small.png\" class=\"wp-post-image wp-image-2107\" title=\"KPMG_NoCP_RGB_small\" alt=\"KPMG_NoCP_RGB_small\">        <\/a>\n    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column sub_column col4-3 tb_0toi294 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_3f2s294   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>KPMG<\/h2>\n<h3>Talking with Machines: Creating Value from Unstructured Data with AI<\/h3>\n<p><strong>Tuesday, April 5, 1:50-2:40pm, Room Sugarland A<\/strong><\/p>\n<p>Presented by: Rachel Wagner-Kaiser<\/p>\n<p>More than 70% of companies&#8217; data is created and locked away as unstructured data. Emails, images, documents, conversations are rich with valuable information, but difficult for most companies to access and leverage at scale to create value or act on data-drive insights. We will cover two real world use cases where companies have applied natural language processing, deep learning, and conversational AI techniques to drive business value from unstructured data.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n        <!-- module divider -->\n<div  class=\"module tf_mw module-divider tb_3p6l295 solid   \" style=\"border-width: 1px;border-color: #202225;\" data-lazy=\"1\">\n    <\/div>\n<!-- \/module divider -->\n        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"memcomputing\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-memcomputing tb_ekf623 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_p8yj24 first\">\n                            <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_2 tb_gm1k24\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column col4-1 tb_7au724 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_x17a24 image-top   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <a href=\"https:\/\/www.memcpu.com\/\" rel=\"noopener\" target=\"_blank\">\n                   <img loading=\"lazy\" decoding=\"async\" width=\"2300\" height=\"1710\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/01\/MemComputing_logo2-1.png\" class=\"wp-post-image wp-image-618\" title=\"MemComputing_logo2 (1)\" alt=\"MemComputing_logo2 (1)\">        <\/a>\n    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column sub_column col4-3 tb_rura25 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_kkos25   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>MemComputing, Inc.<\/h2>\n<h3>Virtual MemComputing Machine Tutorial<b><\/b><\/h3>\n<p><b>Tuesday, April 5, 10:30-11:20am, Room Tanglewood<\/b><\/p>\n<p>Presented by: Dr. Fabio L. Traversa, CTO, MemComputing, Inc.<\/p>\n<p>MemComputing will provide a tutorial on its cloud-based Virtual MemComputing Machine (VMM) solution for solving Integer Linear Programming problems. The MemComputing technology represents a completely new computational paradigm that is fine tuned to solve intractable combinatorial optimization problems efficiently. The VMM is in beta test. Beta testers are given free access to the service for testing out their own problems. Come along to see if this has applicability in your environment.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n        <!-- module divider -->\n<div  class=\"module tf_mw module-divider tb_5qdd25 solid   \" style=\"border-width: 1px;border-color: #202225;\" data-lazy=\"1\">\n    <\/div>\n<!-- \/module divider -->\n        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"optimization-direct\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-optimization-direct tb_mowb41 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_wrq742 first\">\n                            <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_2 tb_r5r242\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column col4-1 tb_162742 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_dpxx43 image-top   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <a href=\"https:\/\/openblender.io\/\" rel=\"noopener\" target=\"_blank\">\n                   <img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"70\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/03\/OpenBlender_screen.png\" class=\"wp-post-image wp-image-2530\" title=\"OpenBlender_screen\" alt=\"OpenBlender_screen\">        <\/a>\n    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column sub_column col4-3 tb_2ugo43 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_lnee43   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>OpenBlender<\/h2>\n<h3><strong>Improve your Forecasts with Free, Open External Data in Seconds<\/strong><\/h3>\n<p><b>Tuesday, April 5, 11:30am-12:20pm Room Tanglewood<\/b><\/p>\n<p>Presented by: Kenneth Sanford, P.h.D.<\/p>\n<p>Predictive models are underperforming in a wide variety of use cases where contextual data would greatly improve situational awareness.\u00a0 However, incorporating external variables is a time-consuming and labor intensive process, making it very hard to find the right signals that actually have an impact on the model. OpenBlender will show how predictive performance is immensely improved by transparently generating and blending relevant exogenous variables from publicly-available data.\u00a0 This includes news reports, social media interactions, web search trends, reviews, economic and financial figures, geolocations, mobility, weather, etc. Enriching your models with ML-ready features from any source no longer takes days or weeks, but just a few lines of code.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n        <!-- module divider -->\n<div  class=\"module tf_mw module-divider tb_ikzk44 solid   \" style=\"border-width: 1px;border-color: #202225;\" data-lazy=\"1\">\n    <\/div>\n<!-- \/module divider -->\n        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"optimization-direct\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-optimization-direct tb_0ioq700 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_wt65701 first\">\n                            <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_2 tb_k3iq701\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column col4-1 tb_wgfr701 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_8mcx701 image-top   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <a href=\"http:\/\/www.optimizationdirect.com\/\" rel=\"noopener\" target=\"_blank\">\n                   <img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"68\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/02\/OptimizationDirectOd_cmyk_Small.jpg\" class=\"wp-post-image wp-image-1994\" title=\"OptimizationDirectOd_cmyk_Small\" alt=\"OptimizationDirectOd_cmyk_Small\">        <\/a>\n    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column sub_column col4-3 tb_0t56702 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_ulfs702   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>Optimization Direct<\/h2>\n<h3>Solving the Most Difficult Mixed Integer Programming Models with ODH<\/h3>\n<p><b>Monday, April 4, 3:40-4:30pm, Room Tanglewood<\/b><\/p>\n<p>Presented by: Robert Ashford<\/p>\n<p>ODH is a package for accelerating MIP optimization and extending its range. It runs concurrently and synchronously with a MIP optimizer exchanging information with it.<\/p>\n<p>Although ODH was primarily designed to enable MIP optimization to be applied to models too large or difficult to be amenable to the standard commercial MIP optimizers such as CPLEX, \u00a0or other commercial parckages, it also accelerates the optimization of most models that are regularly solved with standard MIP.<\/p>\n<p>ODH has been developed by Optimization Direct Inc. over the past 8 years to handle real world customer models for which standard MIP was not effective. \u00a0<\/p>\n<p>On Optimization Direct\u2019s standard hundred model sub-set of mid-sized models taken from its library of nearly 1000 real customer models, ODH|CPLEX reduces the average optimality gap after two hours to nearly half that found by using CPLEX alone.<\/p>\n<p>On the MIPLIB version 7 open set of 29 models to which no integer feasible solution had been found, ODH|CPLEX found solutions to 5 of them in 2 hours. Of the remaining 257 models to which no optimal solution had been proven, ODH|CPLEX found and proved optimal solutions to 13 of them and found better solutions to any that had been previously found to 45% of them. Again, with runs of just 2 hours.<\/p>\n<p>Optimization Direct has customers in the scheduling, telecoms, retail, logistics and supply chain areas who use OD|CPEX. At least three of these have applications that would fail without ODH|CPLEX technology. In January 2022, one said \u2018ODH|CPLEX is comparable to the best optimization technology available from anyone on my small models and much superior to any other optimizer on the large ones\u2019.<\/p>\n<p>ODH uses a number of heuristics, especially a novel decomposition based method, and information from a MIP optimizer to feed that MIP optimizer with good solutions. This is made possible by its new thread synchronization technology within which the ODH and MIP threads can work efficiently.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n        <!-- module divider -->\n<div  class=\"module tf_mw module-divider tb_0brf702 solid   \" style=\"border-width: 1px;border-color: #202225;\" data-lazy=\"1\">\n    <\/div>\n<!-- \/module divider -->\n        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"princeton-consultants\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-princeton-consultants tb_1kvn829 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_szj1830 first\">\n                            <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_2 tb_myqd830\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column col4-1 tb_d70e830 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_yt9p831 image-top   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <a href=\"https:\/\/www.princeton.com\/\" rel=\"noopener\" target=\"_blank\">\n                   <img loading=\"lazy\" decoding=\"async\" width=\"3078\" height=\"891\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/02\/PCI.Logo_.tallandtransparent.png\" class=\"wp-post-image wp-image-1465\" title=\"PCI.Logo.tallandtransparent\" alt=\"PCI.Logo.tallandtransparent\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/02\/PCI.Logo_.tallandtransparent.png 3078w, https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/02\/PCI.Logo_.tallandtransparent-300x87.png 300w, https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/02\/PCI.Logo_.tallandtransparent-1024x296.png 1024w, https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/02\/PCI.Logo_.tallandtransparent-768x222.png 768w, https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/02\/PCI.Logo_.tallandtransparent-1536x445.png 1536w, https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/02\/PCI.Logo_.tallandtransparent-2048x593.png 2048w\" sizes=\"auto, (max-width: 3078px) 100vw, 3078px\" \/>        <\/a>\n    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column sub_column col4-3 tb_cedb831 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_j7w5831   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>Princeton Consultants, Inc.\u00a0<\/h2>\n<h3>It&#8217;s All About the Data<\/h3>\n<p><b>Tuesday, April 5, 9:10-10am, Room Tanglewood<\/b><\/p>\n<p>Presented by: Irv Lustig, PhD, CAP, INFORMS Fellow, Optimization Principal at Princeton Consultants<\/p>\n<p>If you pick up a textbook about operations research methods, or read up on the latest machine learning techniques, the focus is on the models and algorithms. Automated machine learning software assumes that your data is in an easily consumable format. Optimization software providers give examples based on the assumption that data is organized in data structures appropriate for modeling languages or programming idioms. In the real world, data is messy. Significant work is required to organize and understand data and to successfully deliver advanced analytics solutions. Via numerous examples from our consulting experience, we will illustrate best practices for organizing data for machine learning and optimization, for deployment in applications, and the pitfalls that can occur by not taking numerous data related issues into account when developing an application.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n        <!-- module divider -->\n<div  class=\"module tf_mw module-divider tb_38s8831 solid   \" style=\"border-width: 1px;border-color: #202225;\" data-lazy=\"1\">\n    <\/div>\n<!-- \/module divider -->\n        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-anchor=\"rockwell\" data-lazy=\"1\" class=\"module_row themify_builder_row tb_has_section tb_section-rockwell tb_h5cu532 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_6og6533 first\">\n                            <div  data-lazy=\"1\" class=\"module_subrow themify_builder_sub_row tf_w col_align_top tb_col_count_2 tb_moo8533\">\n                <div  data-lazy=\"1\" class=\"module_column sub_column col4-1 tb_ca84534 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_ncph534 image-top   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <a href=\"https:\/\/www.memcpu.com\/\" rel=\"noopener\" target=\"_blank\">\n                   <img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"74\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/02\/2019_RA_Logo_cmyk_RA-Bug-LeftText-Color.png\" class=\"wp-post-image wp-image-1364\" title=\"2019_RA_Logo_cmyk_RA-Bug-LeftText-Color\" alt=\"2019_RA_Logo_cmyk_RA-Bug-LeftText-Color\">        <\/a>\n    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column sub_column col4-3 tb_snn0534 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_ek15534   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>Rockwell Automation<\/h2>\n<h3>Making Simulation Easer with Arena<b><\/b><\/h3>\n<p><b>Monday, April 4, 10:30-11:20am, Room Tanglewood<\/b><\/p>\n<p>Presented by: Melanie Barker<\/p>\n<p>In this presentation, we will discuss the latest features being introduced to Rockwell Automation\u2019s Arena simulation software in version 16.2. We will also revisit previous releases and highlight key features added in the most recent versions.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                    <\/div>\n        <!-- module divider -->\n<div  class=\"module tf_mw module-divider tb_cej9535 solid   \" style=\"border-width: 1px;border-color: #202225;\" data-lazy=\"1\">\n    <\/div>\n<!-- \/module divider -->\n        <\/div>\n                        <\/div>\n        <\/div>\n        <\/div>\n<!--\/themify_builder_content-->","protected":false},"excerpt":{"rendered":"<p>Join the conference exhibitors as they discuss innovations and best practices in the field.\u00a0 Descriptions and times below: AIMMS Supply Chain Network Design with Scenario Modeling and Center of Gravity Monday, April 4, 1:50-2:40pm, Room Sugarland APresented by: Linlin Ma &amp; N.S. Krishnan Systematically solve strategic supply chain problems using AIMMS Network Design. You will [&hellip;]<\/p>\n","protected":false},"author":1001077,"featured_media":481,"parent":161,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"class_list":["post-610","page","type-page","status-publish","has-post-thumbnail","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 Tutorials - 2022 INFORMS Business 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\/analytics2022\/tracks\/technology-tutorials\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Technology Tutorials\" \/>\n<meta property=\"og:description\" content=\"Join the conference exhibitors as they discuss innovations and best practices in the field.\u00a0 Descriptions and times below: AIMMS Supply Chain Network Design with Scenario Modeling and Center of Gravity Monday, April 4, 1:50-2:40pm, Room Sugarland APresented by: Linlin Ma &amp; N.S. Krishnan Systematically solve strategic supply chain problems using AIMMS Network Design. You will [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/tracks\/technology-tutorials\/\" \/>\n<meta property=\"og:site_name\" content=\"2022 INFORMS Business Analytics Conference\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/INFORMSpage\/\" \/>\n<meta property=\"article:modified_time\" content=\"2022-03-29T20:17:30+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2021\/12\/RBG_2022_Analytics_Logo.png\" \/>\n\t<meta property=\"og:image:width\" content=\"2468\" \/>\n\t<meta property=\"og:image:height\" content=\"2440\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@INFORMS\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/tracks\/technology-tutorials\/\",\"url\":\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/tracks\/technology-tutorials\/\",\"name\":\"Technology Tutorials - 2022 INFORMS Business Analytics Conference\",\"isPartOf\":{\"@id\":\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/tracks\/technology-tutorials\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/tracks\/technology-tutorials\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2021\/12\/RBG_2022_Analytics_Logo.png\",\"datePublished\":\"2022-01-07T18:08:14+00:00\",\"dateModified\":\"2022-03-29T20:17:30+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/tracks\/technology-tutorials\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/tracks\/technology-tutorials\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/tracks\/technology-tutorials\/#primaryimage\",\"url\":\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2021\/12\/RBG_2022_Analytics_Logo.png\",\"contentUrl\":\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2021\/12\/RBG_2022_Analytics_Logo.png\",\"width\":2468,\"height\":2440},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/tracks\/technology-tutorials\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Tracks\",\"item\":\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/tracks\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Technology Tutorials\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/#website\",\"url\":\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/\",\"name\":\"INFORMS Business Analytics Conference 2022\",\"description\":\"Houston, TX | April 3-5, 2022\",\"publisher\":{\"@id\":\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/?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\/analytics2022\/#organization\",\"name\":\"INFORMS\",\"url\":\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2021\/04\/Full_Color_INFORMS_Logo.jpg\",\"contentUrl\":\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2021\/04\/Full_Color_INFORMS_Logo.jpg\",\"width\":2023,\"height\":486,\"caption\":\"INFORMS\"},\"image\":{\"@id\":\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/#\/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\"]}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Technology Tutorials - 2022 INFORMS Business Analytics Conference","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/tracks\/technology-tutorials\/","og_locale":"en_US","og_type":"article","og_title":"Technology Tutorials","og_description":"Join the conference exhibitors as they discuss innovations and best practices in the field.\u00a0 Descriptions and times below: AIMMS Supply Chain Network Design with Scenario Modeling and Center of Gravity Monday, April 4, 1:50-2:40pm, Room Sugarland APresented by: Linlin Ma &amp; N.S. Krishnan Systematically solve strategic supply chain problems using AIMMS Network Design. You will [&hellip;]","og_url":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/tracks\/technology-tutorials\/","og_site_name":"2022 INFORMS Business Analytics Conference","article_publisher":"https:\/\/www.facebook.com\/INFORMSpage\/","article_modified_time":"2022-03-29T20:17:30+00:00","og_image":[{"width":2468,"height":2440,"url":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2021\/12\/RBG_2022_Analytics_Logo.png","type":"image\/png"}],"twitter_card":"summary_large_image","twitter_site":"@INFORMS","schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/tracks\/technology-tutorials\/","url":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/tracks\/technology-tutorials\/","name":"Technology Tutorials - 2022 INFORMS Business Analytics Conference","isPartOf":{"@id":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/#website"},"primaryImageOfPage":{"@id":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/tracks\/technology-tutorials\/#primaryimage"},"image":{"@id":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/tracks\/technology-tutorials\/#primaryimage"},"thumbnailUrl":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2021\/12\/RBG_2022_Analytics_Logo.png","datePublished":"2022-01-07T18:08:14+00:00","dateModified":"2022-03-29T20:17:30+00:00","breadcrumb":{"@id":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/tracks\/technology-tutorials\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/meetings.informs.org\/wordpress\/analytics2022\/tracks\/technology-tutorials\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/tracks\/technology-tutorials\/#primaryimage","url":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2021\/12\/RBG_2022_Analytics_Logo.png","contentUrl":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2021\/12\/RBG_2022_Analytics_Logo.png","width":2468,"height":2440},{"@type":"BreadcrumbList","@id":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/tracks\/technology-tutorials\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/"},{"@type":"ListItem","position":2,"name":"Tracks","item":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/tracks\/"},{"@type":"ListItem","position":3,"name":"Technology Tutorials"}]},{"@type":"WebSite","@id":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/#website","url":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/","name":"INFORMS Business Analytics Conference 2022","description":"Houston, TX | April 3-5, 2022","publisher":{"@id":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/?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\/analytics2022\/#organization","name":"INFORMS","url":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/#\/schema\/logo\/image\/","url":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2021\/04\/Full_Color_INFORMS_Logo.jpg","contentUrl":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2021\/04\/Full_Color_INFORMS_Logo.jpg","width":2023,"height":486,"caption":"INFORMS"},"image":{"@id":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/#\/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"]}]}},"builder_content":"<p>Join the conference exhibitors as they discuss innovations and best practices in the field.\u00a0<\/p> <p><b>Descriptions and times below:<\/b><\/p>\n<a href=\"https:\/\/www.aimms.com\/\"> <img src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/01\/AIMMS_logo_S_RGB.gif_Small.gif\" title=\"AIMMS_logo_S_RGB.gif_Small\" alt=\"AIMMS_logo_S_RGB.gif_Small\"> <\/a>\n<h2>AIMMS<\/h2> <h3>Supply Chain Network Design with Scenario Modeling and Center of Gravity<\/h3> <p><strong>Monday, April 4, 1:50-2:40pm, Room Sugarland A<br><\/strong>Presented by: Linlin Ma &amp; N.S. Krishnan<\/p> <p>Systematically solve strategic supply chain problems using AIMMS Network Design. You will learn how to run multiple scenarios to expose hidden opportunities and risks in your network. You will also understand how to optimize its flows, resource capacities, locations, and overall supply chain footprint. On top of that, you will learn to use Center of Gravity analyses to provide new candidate DC locations based on existing demand and supply.<\/p>\n\n<a href=\"https:\/\/www.aimms.com\/\"> <img src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/02\/AMPL-300.jpg\" title=\"AMPL-300\" alt=\"AMPL-300\"> <\/a>\n<h2>AMPL<\/h2> <h3>Optimization in Your Toolchain:\u00a0 How AMPL is Making it Faster and Easier<\/h3> <p><strong>Tuesday, April 5, 9:10-10am, Room Sugarland A<br><\/strong>Presented by: Robert Fourer<\/p> <p>Optimization has been fundamental to Analytics for as long as there have been computers, yet we are still finding ways to make optimization software more natural to use, faster to run, and easier to integrate with enterprise systems. In this presentation, you\u2019ll learn how AMPL\u2019s modeling framework has been enhanced to support optimization in today\u2019s challenging applications. Topics include:<\/p> <ul> <li>Expressing constraint logic more directly and understandably.<\/li> <li>Exchanging data and results directly and efficiently with spreadsheets and database systems.<\/li> <li>Interfacing to business systems through APIs for popular programming languages.<\/li> <li>Deploying optimization in cloud environments and containers.<\/li> <\/ul> <p>To round out the presentation, the theme of adding optimization to applications will be illustrated by several varied case studies.<\/p>\n\n<a href=\"https:\/\/decisionbrain.com\/\" rel=\"noopener\" target=\"_blank\"> <img src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/01\/DB-Logo-Color-Slogan-TM.png\" title=\"DB - Logo - Color Slogan TM\" alt=\"DB - Logo - Color Slogan TM\"> <\/a>\n<h2>DecisionBrain<\/h2> <h3>DB Gene: A Platform to Build Workforce and Manufacturing Optimization Solutions<\/h3> <p><strong>Monday, April 4, 11:30am-12:20pm, Room Tanglewood<br><\/strong>Presented by: Issam Mazhoud<br><br>In this presentation, we will show with two case studies how the same platform can be customized to two different business problems. The first is about a workforce solution that optimizes tactical planning and operational scheduling. The second talks about a manufacturing solution that optimizes production planning and scheduling.<br>DB Gene is based on state-of-the-art technologies and made of standard components. It provides out-of-the-box web user interface components, data and scenario management services, user access and profiling components, and a tasks server that can manage several computation processes in parallel, on-premise, or in the Cloud.<\/p>\n\n<a href=\"https:\/\/www.fico.com\/en\/products\/fico-xpress-optimization\" rel=\"noopener\" target=\"_blank\"> <img src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/02\/FICO-Xpress-Optimization-Color.jpg\" title=\"FICO-Xpress-Optimization Color\" alt=\"FICO-Xpress-Optimization Color\"> <\/a>\n<h2>FICO<\/h2> <h3>End-to-End FICO<sup>\u00ae<\/sup> Xpress Insight\u00a0Tutorial: From Data to Decisions for Non-Technical Business Users<\/h3> <p><strong>Tuesday, April 5, 1:50-2:40pm, Room Tanglewood<br><\/strong>Presented by: Majid Bazrafshan<\/p> <p>You have a team with a great analytics background. They\u2019ve developed advanced analytical tools using Python, R, or your current optimization solver. They\u2019ve derived crucial insights from your data and figured out how your decisions shape your customers\u2019 behaviors. Now it\u2019s time to put these critical analytical insights into the hands of your non-technical business users.<\/p> <p>In this\u00a0tutorial, you\u2019ll learn how FICO\u2019s Xpress Optimization\u00a0solutions\u00a0(including Xpress Mosel, Xpress Workbench, Xpress Solver and Xpress Insight) make it possible to embed your analytic models in business user-friendly applications.\u00a0See how\u00a0to supercharge your analytic models with simulation, optimization, reporting, what-if analysis, and agile extensibility for your ever-changing business.\u00a0Plus, you\u2019ll discover how to use the new View Designer to reduce GUI development times from minutes to seconds.<\/p>\n\n<a href=\"https:\/\/www.gurobi.com\/\" rel=\"noopener\" target=\"_blank\"> <img src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/02\/GAMS_Logo_INFORMS.png\" title=\"GAMS_Logo_INFORMS\" alt=\"GAMS_Logo_INFORMS\"> <\/a>\n<h2>GAMS<\/h2> <h3>Model Deployment and Data Wrangling with GAMS Engine and GAMS Transfer<\/h3> <p><strong>Tuesday, April 5, 10:30-11:20am, Sugarland A<br><\/strong>Presented by: Adam Christensen &amp; Stefan Mann<\/p> <p>The right tools help you deploy your GAMS model and maximize the impact of your decision support application.<br>GAMS Engine is a powerful tool for solving GAMS models, either on-prem or in the cloud. Engine acts as a broker between applications or users with GAMS models to solve and the computational resources used for this task. Central to Engine is a modern REST API that provides an interface to a scalable, containerized system of services, providing API, database, queue, and a configurable number of GAMS workers. GAMS Engine is available as a standalone application, or as a Software-As-A-Service solution running on AWS.<\/p> <p>GAMS Transfer is an API (available in Python, Matlab, and soon R) that makes moving data between GAMS and your computational environment fast and easy. By leveraging open source data science tools such as Pandas\/Numpy, GAMS Transfer is able to take advantage of a suite of useful (and platform independent) I\/O tools to deposit data into GDX or withdraw GDX results to a number of data endpoints (i.e., visualizations,<br>databases, etc.).<\/p> <p>In this session we will go through the necessary steps to get started with GAMS Engine<br>and GAMS Transfer.<\/p>\n\n<a href=\"https:\/\/www.gurobi.com\/\" rel=\"noopener\" target=\"_blank\"> <img src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/02\/gurobi_logo.jpg\" title=\"gurobi_logo\" alt=\"gurobi_logo\"> <\/a>\n<h2>Gurobi Optimization<\/h2> <h3>Learn about Gurobi's Educational Resources &amp; Play our Optimization Game<\/h3> <p><strong>Monday, April 4, 1:50-2:40pm, Room Tanglewood<\/strong><\/p> <p>Presented by: Alison Cozad, Optimization Engineer, Cara Touretzky, Technical Account Manager, and Lindsay Montanari, Academic Program Director<strong><br><\/strong><\/p> <p>Gurobi is a company that has education at the core of what we do; because of this, we strive to find ways to give back to the optimization community that has helped shape us. Gurobi Optimization has developed and released open education tools to teach users why optimization is valuable, why it\u2019s difficult, and why solvers and other optimization algorithms are essential in finding the best solution for their problem solving.<\/p> <p>If you are looking to help teach your colleagues optimization or are new to optimization yourself, join Gurobi experts to dive into our new optimization game and take a tour of our suite of free education tools.\u00a0 \u00a0<\/p> <p>Please bring your laptops to get the full benefit of this hands-on tutorial (including game play and a review of available guides).<\/p>\n\n<a href=\"https:\/\/www.jmp.com\/en_us\/home.html\" rel=\"noopener\" target=\"_blank\"> <img src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/03\/JMP-logo-color.jpg\" width=\"200\" title=\"JMP-logo-color\" alt=\"JMP-logo-color\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/03\/JMP-logo-color.jpg 678w, https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/03\/JMP-logo-color-300x201.jpg 300w\" sizes=\"(max-width: 678px) 100vw, 678px\" \/> <\/a>\n<h2>JMP Statistical Discovery<\/h2> <h3>Adding Sentiment Analysis to the Curriculum of Introductory Analytics Courses<\/h3> <p><strong>Tuesday, April 5, 11:30am-12:20pm, Room Sugarland A<\/strong><\/p> <p>Presented by: Kevin Potcner<strong><br><\/strong><\/p> <p>JMP Pro Statistical software has made analyzing unstructured text data simple and engaging. Requiring no prior experience in the concepts of formal statistical analyses (confidence intervals, p-values, models, etc.), extracting meaning from a large collection of text can now be done by even students brand new to the world of analytics.<br><br>And with today\u2019s students being intimately familiar with these type of data, the value of such analyses is easily appreciated by any student. Using JMP Pro statistical software, the presenter will illustrate the process of analyzing text data including Sentiment Analysis \u2013 the process of quantifying the amount of positive\/negative meaning.<\/p>\n\n<a href=\"https:\/\/home.kpmg\/xx\/en\/home.html\" rel=\"noopener\" target=\"_blank\"> <img src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/02\/KPMG_NoCP_RGB_small.png\" title=\"KPMG_NoCP_RGB_small\" alt=\"KPMG_NoCP_RGB_small\"> <\/a>\n<h2>KPMG<\/h2> <h3>Talking with Machines: Creating Value from Unstructured Data with AI<\/h3> <p><strong>Tuesday, April 5, 1:50-2:40pm, Room Sugarland A<\/strong><\/p> <p>Presented by: Rachel Wagner-Kaiser<\/p> <p>More than 70% of companies' data is created and locked away as unstructured data. Emails, images, documents, conversations are rich with valuable information, but difficult for most companies to access and leverage at scale to create value or act on data-drive insights. We will cover two real world use cases where companies have applied natural language processing, deep learning, and conversational AI techniques to drive business value from unstructured data.<\/p>\n\n<a href=\"https:\/\/www.memcpu.com\/\" rel=\"noopener\" target=\"_blank\"> <img src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/01\/MemComputing_logo2-1.png\" title=\"MemComputing_logo2 (1)\" alt=\"MemComputing_logo2 (1)\"> <\/a>\n<h2>MemComputing, Inc.<\/h2> <h3>Virtual MemComputing Machine Tutorial<b><\/b><\/h3> <p><b>Tuesday, April 5, 10:30-11:20am, Room Tanglewood<\/b><\/p> <p>Presented by: Dr. Fabio L. Traversa, CTO, MemComputing, Inc.<\/p> <p>MemComputing will provide a tutorial on its cloud-based Virtual MemComputing Machine (VMM) solution for solving Integer Linear Programming problems. The MemComputing technology represents a completely new computational paradigm that is fine tuned to solve intractable combinatorial optimization problems efficiently. The VMM is in beta test. Beta testers are given free access to the service for testing out their own problems. Come along to see if this has applicability in your environment.<\/p>\n\n<a href=\"https:\/\/openblender.io\/\" rel=\"noopener\" target=\"_blank\"> <img src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/03\/OpenBlender_screen.png\" title=\"OpenBlender_screen\" alt=\"OpenBlender_screen\"> <\/a>\n<h2>OpenBlender<\/h2> <h3><strong>Improve your Forecasts with Free, Open External Data in Seconds<\/strong><\/h3> <p><b>Tuesday, April 5, 11:30am-12:20pm Room Tanglewood<\/b><\/p> <p>Presented by: Kenneth Sanford, P.h.D.<\/p> <p>Predictive models are underperforming in a wide variety of use cases where contextual data would greatly improve situational awareness.\u00a0 However, incorporating external variables is a time-consuming and labor intensive process, making it very hard to find the right signals that actually have an impact on the model. OpenBlender will show how predictive performance is immensely improved by transparently generating and blending relevant exogenous variables from publicly-available data.\u00a0 This includes news reports, social media interactions, web search trends, reviews, economic and financial figures, geolocations, mobility, weather, etc. Enriching your models with ML-ready features from any source no longer takes days or weeks, but just a few lines of code.<\/p>\n\n<a href=\"http:\/\/www.optimizationdirect.com\/\" rel=\"noopener\" target=\"_blank\"> <img src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/02\/OptimizationDirectOd_cmyk_Small.jpg\" title=\"OptimizationDirectOd_cmyk_Small\" alt=\"OptimizationDirectOd_cmyk_Small\"> <\/a>\n<h2>Optimization Direct<\/h2> <h3>Solving the Most Difficult Mixed Integer Programming Models with ODH<\/h3> <p><b>Monday, April 4, 3:40-4:30pm, Room Tanglewood<\/b><\/p> <p>Presented by: Robert Ashford<\/p> <p>ODH is a package for accelerating MIP optimization and extending its range. It runs concurrently and synchronously with a MIP optimizer exchanging information with it.<\/p> <p>Although ODH was primarily designed to enable MIP optimization to be applied to models too large or difficult to be amenable to the standard commercial MIP optimizers such as CPLEX, \u00a0or other commercial parckages, it also accelerates the optimization of most models that are regularly solved with standard MIP.<\/p> <p>ODH has been developed by Optimization Direct Inc. over the past 8 years to handle real world customer models for which standard MIP was not effective. \u00a0<\/p> <p>On Optimization Direct\u2019s standard hundred model sub-set of mid-sized models taken from its library of nearly 1000 real customer models, ODH|CPLEX reduces the average optimality gap after two hours to nearly half that found by using CPLEX alone.<\/p> <p>On the MIPLIB version 7 open set of 29 models to which no integer feasible solution had been found, ODH|CPLEX found solutions to 5 of them in 2 hours. Of the remaining 257 models to which no optimal solution had been proven, ODH|CPLEX found and proved optimal solutions to 13 of them and found better solutions to any that had been previously found to 45% of them. Again, with runs of just 2 hours.<\/p> <p>Optimization Direct has customers in the scheduling, telecoms, retail, logistics and supply chain areas who use OD|CPEX. At least three of these have applications that would fail without ODH|CPLEX technology. In January 2022, one said \u2018ODH|CPLEX is comparable to the best optimization technology available from anyone on my small models and much superior to any other optimizer on the large ones\u2019.<\/p> <p>ODH uses a number of heuristics, especially a novel decomposition based method, and information from a MIP optimizer to feed that MIP optimizer with good solutions. This is made possible by its new thread synchronization technology within which the ODH and MIP threads can work efficiently.<\/p>\n\n<a href=\"https:\/\/www.princeton.com\/\" rel=\"noopener\" target=\"_blank\"> <img src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/02\/PCI.Logo_.tallandtransparent.png\" title=\"PCI.Logo.tallandtransparent\" alt=\"PCI.Logo.tallandtransparent\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/02\/PCI.Logo_.tallandtransparent.png 3078w, https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/02\/PCI.Logo_.tallandtransparent-300x87.png 300w, https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/02\/PCI.Logo_.tallandtransparent-1024x296.png 1024w, https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/02\/PCI.Logo_.tallandtransparent-768x222.png 768w, https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/02\/PCI.Logo_.tallandtransparent-1536x445.png 1536w, https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/02\/PCI.Logo_.tallandtransparent-2048x593.png 2048w\" sizes=\"(max-width: 3078px) 100vw, 3078px\" \/> <\/a>\n<h2>Princeton Consultants, Inc.\u00a0<\/h2> <h3>It's All About the Data<\/h3> <p><b>Tuesday, April 5, 9:10-10am, Room Tanglewood<\/b><\/p> <p>Presented by: Irv Lustig, PhD, CAP, INFORMS Fellow, Optimization Principal at Princeton Consultants<\/p> <p>If you pick up a textbook about operations research methods, or read up on the latest machine learning techniques, the focus is on the models and algorithms. Automated machine learning software assumes that your data is in an easily consumable format. Optimization software providers give examples based on the assumption that data is organized in data structures appropriate for modeling languages or programming idioms. In the real world, data is messy. Significant work is required to organize and understand data and to successfully deliver advanced analytics solutions. Via numerous examples from our consulting experience, we will illustrate best practices for organizing data for machine learning and optimization, for deployment in applications, and the pitfalls that can occur by not taking numerous data related issues into account when developing an application.<\/p>\n\n<a href=\"https:\/\/www.memcpu.com\/\" rel=\"noopener\" target=\"_blank\"> <img src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/files\/2022\/02\/2019_RA_Logo_cmyk_RA-Bug-LeftText-Color.png\" title=\"2019_RA_Logo_cmyk_RA-Bug-LeftText-Color\" alt=\"2019_RA_Logo_cmyk_RA-Bug-LeftText-Color\"> <\/a>\n<h2>Rockwell Automation<\/h2> <h3>Making Simulation Easer with Arena<b><\/b><\/h3> <p><b>Monday, April 4, 10:30-11:20am, Room Tanglewood<\/b><\/p> <p>Presented by: Melanie Barker<\/p> <p>In this presentation, we will discuss the latest features being introduced to Rockwell Automation\u2019s Arena simulation software in version 16.2. We will also revisit previous releases and highlight key features added in the most recent versions.<\/p>\n","_links":{"self":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/wp-json\/wp\/v2\/pages\/610","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/wp-json\/wp\/v2\/users\/1001077"}],"replies":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/wp-json\/wp\/v2\/comments?post=610"}],"version-history":[{"count":58,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/wp-json\/wp\/v2\/pages\/610\/revisions"}],"predecessor-version":[{"id":2546,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/wp-json\/wp\/v2\/pages\/610\/revisions\/2546"}],"up":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/wp-json\/wp\/v2\/pages\/161"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/wp-json\/wp\/v2\/media\/481"}],"wp:attachment":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/wp-json\/wp\/v2\/media?parent=610"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}