January 24, 2018

Registration is Now Open for 2018 Great Lakes BI & Big Data Summit

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WIT is pleased to announce that registration is now open for the sixth annual Great Lakes Business Intelligence (BI) and Big Data Summit. The Summit will take place Thursday, March 15, 2018 at the Detroit Marriott Troy in Troy, Michigan. This is a premier business analytics conference for any IT and BI professionals who is interested in discovering best practices to tackle real-world big data issues.

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In its sixth year, the Summit is estimated to attract more than 350 BI practitioners from across the Midwest to share their expertise on big data and to make lasting connections. The event offers attendees ample learning and networking opportunities throughout the day, with two keynote speakers, 15+ breakout sessions, interactive demos, hands-on workshop sessions, and numerous chances to network with peers during lunch and breaks.

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The speaker line-up at the 2018 Summit will be comprised of IT leaders from a cross-section of top companies across multiple industries. Eric Siegel, founder of Predictive Analytics World, will presenting the headlining keynote addresses. Eric’s keynote will address how to deliver on the promise of machine learning and how companies can use data to make predictions that will impact the millions of operational decisions that businesses make every day. For more information, read our blog annoucing his keynote and his guest blog post. 

New in 2018, we are offering 90-minute hands-on workshop sessions that provide real-life experience solving a hypothetical business problem using the latest business analytics tools. These sessions are intended to be a deep-dive into the technical elements of the tool or platform being presented. These sessions are sponsored by Alteryx, Informatica, Tableau, and Qlik. For more information, visit our website


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Tagged: BI Summit, Big Data, big data summit, Business Intelligence, Events, great lakes bi summit, BI Technology, Analytics Technology, Analytics Software, Predictive Analytics, machine learning, Data Visualization, Data Science, data trends, data governance, Data Discovery, Cloud, BI Case Study, BI Best Practices, Business Analytics

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