How GPU Computing Can Boost Data Science Capabilities

GPU technology is an innovative option that can improve the speed of certain types of processes, namely those that can be performed using parallel processing which require computer systems to “think” and “learn” while processing data as quickly and efficiently as possible. For example, GPUs are used in everyday technology …

Three Emerging Data Science Trends You Need to Know

Data science has become a necessity for companies looking for innovative and efficient ways of solving complex business problems. As the world becomes more data-centric, trends in data science technologies and practices continue to emerge and evolve. Continual education on cutting edge data science applications can help optimize an organization’s …

A System for Evaluating Business Program Improvement

If your organization is like most, you have to balance meeting customer expectations for delivering high quality products or services with the hard reality of needing to keep costs in line to maintain profitability. Often, organizations will implement “interventions” aimed to improve business, such as to reduce costs, increase revenue, …

Segmentation and Discrete Choice Models from Market Research Data

Everyone has heard of “market research” as a way to learn more about the customers for a product or service, but did you know that through data-science-enhanced market research, organizations can potentially save marketing and deployment dollars in the long run? Through methods such as discrete choice modeling and segmentation, …

Considering the Benefits of Open Source Tools

The term “open source” refers to software that is developed by an individual, group, or company and made available for use by anyone free of charge.  The reason the developer opens the use of the software to anyone at no cost is to harness improvements resulting from volunteer contributions. The …

AI vs Machine Learning: What’s the Difference?

Artificial intelligence, or “AI”, is a buzzword that has been around for decades… but what does it really mean? For most people, it can be hard to differentiate between the futuristic sounding AI and its less glamorous sounding counterpart, machine learning, sometimes called “ML”. AI vs Machine Learning: What’s the …

Using AI to Detect Data Anomalies

Business decision makers rarely crave more reams of data.  They really want well-defined, actionable insights from data that they can evaluate and consider for future actions. They also want confidence that they aren’t missing something critical in the data, either because the data is not being analyzed thoroughly or correctly, …

Comprehensive Retailer Analytics with Fulcrum RetailViewer

The retail industry by nature is dynamic, cyclically driven, and often reactive. It can be difficult for pricing managers to track the buying behavior trends of customers over time, especially when promotions are applied to certain products. Additionally, retailers often have a desire to quickly adapt to shifts in customer preferences, …