CIO Journal Coverage

According to CIO Magazine, May 2nd, 2018, major brands are intensely searching for explainable AI solutions for several reasons spanning guarding against ethical and regulatory breaches to understanding when to override machine based decisions or how to improve them in the future.

Dynamic Predictive Segmentation is the Future of Marketing

Today’s digitally-empowered customers have high expectations for relevant, highly personalized customer experiences. Companies must keep pace with these growing demands or they will be left behind by their more perceptive competition.

5 Market Segmentation Challenges That Are About to Be Solved

Market segmentation is one of the most basic arms of business strategy. Firms bundle customers to understand their preferences, manage relationships with them, improve product and service offerings, and assess risk.

Dynamic Predictive Segmentation Will Upgrade Retailers Relevancy with Shoppers

  11/30/2017   Dave Irwin   Blog, Marketing, Retail

It’s well known that the “Amazon effect” is wreaking havoc on retailers’ ability to lure and retain shoppers because of their inability to predict what motivates customers to buy and to be relevant in the moment of interaction.

AI Enabled Customer Segmentation Will Transform Marketing

Marketers are missing opportunities when they use static segmentation, which is not predictive of customer behavior and fails to take customer context into account.

Machine Learning with Transparency Changes the Art of the Possible in Marketing

Most marketers are just beginning to explore machine learning applications.  Machine learning is already providing tremendous analytic efficiency gains and increased precision.

Marketers Need Granular Transparency Behind Machine Learning Predictions

Demand for explainable AI over the last year has started to ramp up from a variety of perspectives. DARPA, the Defense Advanced Research Projects Agency, for example, has been calling for more explainable machine learning models that human users can understand and trust.

McKinsey’s 2016 Analytics Study Defines the Future of Machine Learning

  08/22/2017   Dave Irwin   Retail

This is a synopsis of key findings from McKinsey Global Institute’s Study: The Age of Analytics, Competing in a Data Driven World. Machine Learning’s potential in improving retail forecasting, predictive analytics, and personalized advertising, demonstrate specific business improvements.

How Artificial Intelligence Will Invade Retail

  08/22/2017   Dave Irwin   Retail

The base-line fact: retailers and ecommerce brands have more data available to them than ever before. The data is increasing by exponential factors as more endpoints are created to track consumers and their ever-changing behavior.