Search engine optimization, or SEO, has changed significantly in the past few years. Thanks to the power of machine learning and artificial intelligence, the only way to build a sustainable, long-term SEO strategy is to create content people want to share. To combat these new trends, we need to employ our own machine learning technology…
Search engine optimization, or SEO, has changed significantly in the past few years. Once upon a time, we did simple tricks to please search engines. We highlighted and bolded some text on page, we spammed Wikipedia, we sent out a few emails, and watched the search volume flood in. Those days are long gone. Thanks…
As much as people may express distrust or discomfort with artificial intelligence and robots today, the reality is that we’ve wanted robots (powered by AI) as significant parts of our lives all along. Consider the standards we hold people to for attractiveness. We demand nearly impossible standards of beauty that takes a full-time fitness career…
While I’m not participating, a number of friends plan to participate in National Novel Writing Month, or #NaNoWriMo. For me, once I’ve built an outline, the hardest part of writing is the actual writing, putting words on paper. To help those participating, I’m sharing 3 different ways to put lots of words on paper, so…
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…
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…
