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Bringing MMM to 21st Century with Machine Learning and Automation?

DataRobot Blog

Historically, this analysis was applied to traditional offline media channels: TV, radio, print (magazines, newspaper), out-of-home (billboards and posters), etc. Media data (usually weekly): media costs, media ratings generated (TVRs, magazine copies, digital impressions, likes, shares, etc.), Classical Modeling Considerations.

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Q&A Tuesday with Gary Melling: A Look at the Intersection of AI and Data-Driven Business Insights

Jet Global

Knowing that technologies like AI and machine learning were coming, many companies started storing data preemptively even before they knew when or how technology would turn it into something valuable. What, specifically, do AI and machine learning do to help companies learn more from data?

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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

datapine

With that in mind, we have prepared a list of the top 19 definitive data analytics and big data books, along with magazines and authentic readers’ reviews upvoted by the Goodreads community. James Warren, on the other part, is a successful analytics architect with a background in machine learning and scientific computing.

Big Data 263
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Breaking Silos: Passive Consumption + Active Engagement FTW!

Occam's Razor

Geico purchases every kind of ad: TV spots, radio ads, billboards (OOH), digital displays (video, online,– social media), print (magazines, newspaper, your cousin's Christmas letter), and so much more. Every measurement and optimization initiative is based on this cocktail of metrics. Thus delivering a positive, but local, maxima.

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Unsexy Fundamentals Focus: User Experiences That Print Money

Occam's Razor

Oh, and let's not forget the application of machine learning to every facet of your work. If you are a reader of my newsletter, The Marketing < > Analytics Intersect , you’ve seen me apply it to metrics (last TMAI was on Bounce Rate), reports, frameworks and more. I ADORE The New Yorker magazine.

Sales 133
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Cookies To Humans: Implications Of Identity Systems On Incentives!

Occam's Razor

To ensure customer delight was delivered in a timely manner, it was also decided that Average Call Time (ACT) would now be The success metric. The success metric, ACT, did go down. That ACT was an activity metric was terrible – if you have a The success metric, it should always be an outcome metric. Another issue.

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Themes and Conferences per Pacoid, Episode 6

Domino Data Lab

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. A series of debates in literature, editorials, lectures, magazine articles, film, etc., hill climbing ) ( Clue #1 ).