Category: Data

  • Fun Fact Friday: Feature Engineering

    In this episode, we talk about feature engineering and text, especially social media content. Social media text is often accompanied by very little data, so what can we do to enhance and expand it? That’s feature engineering. Watch the video for details about what kinds of features we can add to social media content to…

    Continue reading →

  • Fun Fact Friday: Just How Much Data Is A Zettabyte?

    One of the starting points for my keynote speech on artificial intelligence is that, as a civilization, humanity will create approximately 30 zettabytes of data in 2018 according to IDC. But just how much is a zettabyte? Watch this video to learn what a zettabyte is in Netflix terms, plus other stunning Internet usage facts.…

    Continue reading →

  • You Ask, I Answer: How to Choose a Data Science Course

    Sherry asks, “What sets apart a good data science course? What should I look for in the curriculum?” Great question, and an important one in today’s world when companies are offering “crash courses” and “become a data scientist in X weeks”. Would you feel comfortable going to someone who did the “crash course in surgery”…

    Continue reading →

  • Win With AI: IBM Cloud Private for Data & Watson Studio

    The IBM Win With AI Summit was a powerful event for IBM Business Partners and AI practitioners. Watch the video to learn what’s new with IBM Watson Studio and the all-new IBM Cloud Private for Data. If you’ve ever wanted one view of your customer or data management with strong governance built in, you’ll want…

    Continue reading →

  • #WinWithAI: How To Leverage The Value of Data

    Melissa asks, “How can companies leverage data — their most valuable asset — as a competitive advantage?” As part of the IBM #WinWithAI Summit, this is a critical question. What are the uses of data? Data as the end product, for analytics and insights Data as the source for training machine learning models Data as…

    Continue reading →

  • #WinWithAI: How Data Preparation Must Change for AI

    As part of my work with IBM in the Win With AI Summit, one topic I’ve been asked to address is what technologies will impact AI strategies and rollout. Register for the IBM Win With AI Summit in NYC here. When we look at the data science lifecycle, we see that a healthy portion of…

    Continue reading →

  • Can Causation Exist Without Correlation? Yes!

    Updated: Watch this video for more in-depth explanation of 5 different scenarios. One of the axioms of statistics is, “correlation is not causation”, meaning that just because two data variables move together in a relationship does not mean one causes the other. The most common textbook example of this axiom is that consumption of ice…

    Continue reading →

  • You Ask, I Answer: Tackling Data Privacy and Regulation

    Melissa asks, as part of the IBM #WinWithAI Summit: “How can enterprises be proactive about data privacy and regulation?” Want to know why we’re having conversations about data privacy and regulation? It’s because marketing has no governance. It’s the Wild West, with CMOs buying every technology available and no one conducting the orchestra. Marketers need…

    Continue reading →

  • You Ask, I Answer: How to Standardize Metrics and Measurement

    Kevin asks, “How do we standardize metrics and measurement, especially when different parts of the company do things differently?” Great and very common question. The answer is, unsurprisingly, a framework: Goal alignment Exploratory data analysis Model creation Model validation Model deployment Adoption, training, and compliance Measurement of compliance Refinement and improvement If this sounds familiar,…

    Continue reading →

  • You Ask, I Answer: Best Practices in Using Marketing Data

    Magdalena asks, “Can you share two or three good practices of using data in tracking our efforts?” Great and important question. Many marketers don’t have, for one reason or another, a solid understanding or past experience in statistics. Let’s look at a few of the most basic rules that apply, especially when we’re digging into…

    Continue reading →