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Is Artificial Intelligence/Machine Learning Real?

  May 20, 2021 |   60 min   |  Webinar 12

Is Artificial Intelligence/Machine Learning Real?
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We are pleased to bring you our next webinar “Is AI/ML real?” .. Featuring a panel of expert data analysts and a data monetization expert moderator for a lively practical conversation on all things AI/ML - what it means to you and the world. Topics that will be discussed: What are neural networks, what are training sets, when to use regression or not use regression, ensemble  models, clone, and more. Media provides postal, email, and telemarketing data to B2C/B2B direct marketers. Our new relationship with MDR makes us the first choice for marketers looking to acquire educational data including pre-K through grade 12, college,  district level personnel, as well as all business and school administrators.  We offer list and insert management and brokerage, data append and hygiene, plus co- op expertise. Our MailingListsXPRESS partnership with Dun & Bradstreet means access and affordability on D&B business data. To talk to customers, talk to us!



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Laurie is a Customer Experience Lead at Guideposts where she develops acquisition programs for the Inspirational and Non-Fiction Customer Audiences. A 25+ year veteran of the direct marketing industry, Laurie specializes in outside list analysis and modeling.  Prior to joining Guideposts, Laurie managed offline and online programs at Consumer Reports, The Taunton Press, Synapse and Carol Wright Gifts.

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Asya Takken holds a B.A. in Mathematics and Ph.D. in statistics.  For the past 5 years, she has worked in predictive modeling at Alliant, where she enjoys helping clients learn about their audiences and expanding their reach.   Her prior work experience includes yield modeling at IBM, B2B data analysis at Cisco, as well as teaching high school mathematics.  In her spare time, she enjoys hiking, skiing, cooking, and is looking forward to being able to resume travel.

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Originally trained in mathematics and physics, I have been involved with information and communication technology since 1992. I joined Dataline in 2009 as a data scientist, to build predictive models of consumer behavior. I also teach as an adjunct professor of systems engineering at Virginia Tech, focusing on investment analysis and choice modeling.

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Emma combines an education in advanced applied mathematics with a deep curiosity in the drivers and responses of consumer behavior, both simple and unexpected. With years of using established and innovative statistics to create predictive solutions for clients across markets, and with large companies like Epsilon, Seagate, Level 3, and Spectra Logic, Emma believes every brand deserves an audience as unique as their data and customers.

Emma holds an M.S in Applied Statistics and a B.S. in Metallurgical Engineering from the Colorado School of Mines. As a Colorado native, Emma enjoys rock climbing, visiting new breweries, and quality time with her dogs.

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