Using Clustering for Customer Segmentation Clustering is a useful unsupervised method of machine learning, especially for identifying customer segments. Before, it was necessary to manually examine the qualities of your customers and make assumptions to…
With the continued growth of machine learning and artificial intelligence, there is a constant need for reports, dashboards, and other ways of visualizing data. Whether you are downloading CSV files or connecting to a complex…
Marketing and IT Sittin' in a Tree F-I-N-D-I-N-G [great customer insights] The two worlds of IT and marketing are changing rapidly, both experiencing technological advances at never-before-seen rates. IT is tasked with orchestrating exponentially…
Machine Learning and Flip Phones Doing data analytics in Excel is like tweeting from your flip phone. It's time to move on. It was January 2007. I had just started my last semester of high…
In this post I will discuss some important points of TensorFlow; namely what is it, how it works, and how easily it can be used in production environments with Keras and eager processing. Enterprises that…
“Machine learning” has been a buzzword for a while now, and studies continue to affirm the substance behind the hype. Even the most traditional of businesses are now rushing to adopt machine learning into their…
We’ve seen how what has traditionally been thought of as “big data” has evolved to encompass techniques and technologies that can benefit any company and prepare them for the future. What could an example project look like?
Market Basket Analysis gives retailers the opportunity to find correlations of items in shopping carts in order to find strong correlations. Why might a retailer choose MBA to analyze point-of-sale data? Read on for further details on the benefits of using Market Basket Analysis as a retailer.
What would you say if I told you that your marketing and IT departments need to cozy on up together to achieve your goals? Two areas that were black and white in a traditional world are now gray and fuzzy in a digital one. Smart companies are harnessing the power of a modern data architecture (that’s right - Big Data) to gain insights into their customers’ ideas, behaviors, and actions.
The technology field is home to an unpredictable and ever changing landscape. Something heralded as an “industry game changer” today can be reduced to little more than an afterthought in just a few years’ time. Alternatively, other tech that is brushed aside as nothing more than a novelty item can quickly bloom into a massive business. Since no one can accurately predict what will succeed, and what will fail, it’s important to keep up to date on the new technology.