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Building high value and effective relationships using Big Data

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Building high value and effective relationships using Big Data

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Marie Smith will share modeling and methodology for detecting entities for transactional relationships and helping optimize those relationships towards human and machine learning goals.

Relationships are complex, and so is the data space. The major technology companies and corporations use advanced machine learning and big data to understand the meaning, likelihood of a transaction, predict future behavior as well as influence decision making. It’s said that “Relationships are the new currency of business.
We're in an era where machine learning and artificial intelligence techniques are being used to help companies build more effective relationships with their customers. we’ll explore on how one can use big data, machine learning and artificial intelligence in order to develop more customer-focused marketing strategies.

Marie is a prolific leader, advisor, coach and mentor who works and advocates locally, regionally and nationally for digital and technology literacy, closing the economic gap using technology and ethical, equitable and explainable AI. See more of her work at [http://bit.ly/data360-speakingworkshopsamples](https://bitli.pro/1mvrc_738b1cdb) and her long bio at [https://bit.ly/marielongbio](https://bitli.pro/1mvrd_6e6501ee).
Marie has been a speaker/presenter, lectured at and produced curriculum for over 10,000 elementary, middle, high school, college students and workers online and in-person about coding, career development, corporate data analysis, data science and technology development with Harvard Innovation Lab, the University of Southern California, University of California Berkeley, Los Angeles Trade Tech College, California State University Dominguez Hills, conferences and corporations throughout the United States and Europe.

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Chicago Booth Big Data & Analytics Roundtable
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