Mitch Joel is fond of saying, “It’s not who you know, it’s who knows you”. This quote has never been more true than today in influencer marketing. How do we measure influence in most digital marketing domains? Email marketers look at forwarding and sharing rates Public relations professionals look at who covers us in the…
I joined an all-star team of IBM social influencers to speak on Silicon Angle’s The Cube at the IBM CDO Summit recently. We discussed artificial intelligence, machine learning, neural networks, predictive analytics, and so much more. Hear what Tripp Braden, Mike Tamir, Bob Hayes, and I had to say: Thanks to IBM and Silicon Angle…
I had the privilege to speak on Silicon Angle’s The Cube at the IBM CDO Summit recently. We discussed the basics of machine learning, how marketing is changing, what to do if a company doesn’t want to keep up with the future, and the differences in types of media. Thanks to IBM and Silicon Angle…
This week, I have the pleasure and privilege to speak at the IBM CDO Summit in Boston. I’ll be co-presenting with one of the true leaders and innovators in our field, Dr. Victor S. Y. Lo, who pioneered uplift analysis in the early days of digital marketing. What We’ll Be Addressing We see three problems…
Podcasting – and audio in general – can be a bit arcane to folks who aren’t audio nerds. If you’ve been asked to be a guest on a podcast, here are some tips about the people, process, and technology of podcast interviews that will help make your guest appearance as successful as possible. People Before…
In the last post, we examined the output of an S-ARIMA-based prediction. Let’s now dig into the most important part of predictive analytics: planning and acting. The Power of Predictive Analytics The power of predictive analytics is our ability to forecast with greater accuracy and specificity than generalized, “gut instinct” predictions. We know when something…
In the last post, we examined different methods for identifying which variable to predict. Once we’ve made a sound, data-driven assessment of what variables matter most to us, we build a predictive model around it. Predicting Ahead To create accurate forecasts, we must use software built for the explicit purpose of time-series prediction. The generally-accepted…
In the last post, we examined different ways to prepare data to counteract known, common problems. Let’s turn our eye towards picking which data to predict. Picking Variables Picking a variable to predict is a blend of both human insight and machine analysis. The best comparison I know is that of a GPS app. We…
In the last post, we examined the basics of extracting data from various data stores and the different types of datasets we have access to. Let’s now look at the process of preparing data. Three Data Challenges In the preparation of our data, we typically face three challenges: Missing data Corrupted data Irrelevant data To…
If you read any amount of online material about emoji written by someone older than the age of 25, much ink is spilled lamenting the state of modern language and the infiltration of emoji and emoticons into it. “I don’t know what these kids are saying!”, “They’re not using real words any more!” and variations thereof…
