Customer Data & Analytics Blog

Janet Wagner

Recent Posts by Janet Wagner:

Predictive modeling techniques used in marketing

Janet Wagner | 3 minute read

The concept of predictive modeling has been around for decades, and it involves collecting data, formulating a statistical model, making predictions, and then revising the model as more data becomes available. It is only in recent years that the use of predictive modeling techniques in marketing has taken off- thanks to the abundance of customer data available. There is a wealth of internal and external data that data scientists and marketers can leverage to make predictions about customers such as the propensity to engage, convert, buy, and churn. This post highlights two common predictive modeling techniques used in marketing.

Topics: Customer Analytics

IoT data and machine learning: A powerful combination for marketing

Janet Wagner | 3 minute read

On our blog, we highlight the many ways machine learning allows marketers to gain valuable insights from data- insights such as products customers are most interested in, when customers are most likely to buy, and the propensity for customers to churn. Today, we thought we would highlight how machine learning and data from connected devices are a powerful combination for marketing. When we talk about connected devices we are talking about the Internet of Things (IoT), a worldwide network of devices all connected to the internet. IoT data is generated from every connected device that consumers use- smartphones, smartwatches, activity trackers, home appliances, to name a few.  

GDPR and Explainable AI

Janet Wagner | 3 minute read

The EU General Data Protection Regulation (GDPR) went into effect on May 25, 2018. The regulation has had a significant impact on how companies around the world handle the data of European citizens. The regulation includes numerous provisions regarding data protection and privacy. Several sections of the GDPR have led to a debate among AI industry professionals about the “right to explanation” mandate included in the regulation.

Topics: GDPR & Data Privacy

AutoML could help bridge the AI skills gap

Janet Wagner | 2 minute read

The number of companies currently using AI is growing rapidly along with the companies that want to start leveraging AI. But the shortage of AI talent is a significant problem for companies looking to implement AI technologies.

K-Means: A popular algorithm for segmentation

Janet Wagner | 3 minute read

Many businesses today are using machine learning algorithms to build intelligent applications. One of the ways algorithms are used in marketing is customer segmentation- grouping customers based on specific qualities such as demographics or behavioral patterns.