{"id":216,"date":"2022-11-28T17:09:08","date_gmt":"2022-11-28T17:09:08","guid":{"rendered":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/?page_id=216"},"modified":"2023-04-11T17:01:40","modified_gmt":"2023-04-11T17:01:40","slug":"technology-workshops","status":"publish","type":"page","link":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/technology-workshops\/","title":{"rendered":"Technology Workshops"},"content":{"rendered":"\n
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Take advantage of these pre-conference workshops for a hands on demonstration of the latest in Analytics software. All attendees are welcome to join onsite or pre-register. If you\u2019ve already registered for the conference, you can add workshops by editing your record.

Descriptions and times below:<\/b><\/p>\n <\/div>\n<\/div>\n <\/div>\n

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Sunday, April 16<\/p> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n

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Time:
11am-12:45pm<\/b><\/p>\n

Location:
Cottonwood 9<\/b><\/p> <\/div>\n<\/div>\n <\/div>\n

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\n \"web_ready_company_logo-JMP\" \n <\/div>\n \n \n <\/div>\n\n
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Predictive Modeling Workflow using JMP Pro Software<\/h2>\n

Presented by:\u00a0Kevin Potcner<\/p>\n

Teaching the process of building, evaluating, and choosing statistical models has become an essential part of the curriculum for Analytics Programs. What was once limited to teaching only linear and logistic regression, instructors are now exposing their students to many other modeling techniques \u2013 partition\/trees, neural network, K-nearest neighbors, Text Mining among many others. Curriculums are also evolving so that students are being exposed to what working on real datasets are like. This includes such steps as cleaning and formatting data, deciding how to deal with missing values and outliers,\u00a0exploratory analyses,\u00a0building and comparing a variety of models,\u00a0deploying the chosen model in a production environment,\u00a0and presenting results in an accessible manner to a non-technical audience.<\/p>\n

In this workshop, a statistical scientist from JMP will illustrate how JMP Pro\u2019s\u00a0no-code\u00a0interactive\u00a0and\u00a0visual approach to this process can greatly enhance student\u2019s understanding, and enjoyment of the predictive modeling workflow.<\/p> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n

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Time:
1-2:45pm<\/b><\/p>\n

Location:
Cottonwood 9<\/b><\/p> <\/div>\n<\/div>\n <\/div>\n

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\n \"DecisionBrain\" \n <\/div>\n \n \n <\/div>\n\n
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DB Gene: Bring your Optimization Model to the Cloud, Create Dashboards and Connect it with Tableau<\/h2>\n

Presented by: Giulia Burchi and Filippo Focacci

DB Gene is a development platform to easily customize and deploy cost-effective optimization solutions. It helps reduce development time and costs by over 70%. It allows to quickly create and deploy optimization solutions for business users.<\/p>\n

In this workshop, we will leverage a workforce optimization model and we will:<\/p>\n