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Challenges for Data Governance and Data Quality in a Machine Learning Ecosystem

The high availability of data, enhanced computing power and advanced Data Science technologies together make a lethal combination for data-driven outcomes. With the open data economy just around the corner, well-tuned Data Governance capabilities will be the goal of most businesses. Current Data Management practices are focused on risk free data sharing and regulatory compliance. […]

What Is Assisted Predictive Modeling?

Click to learn more about author Kartik Patel. Assisted predictive modeling incorporates complex, sophisticated analytical and forecasting techniques in a self-serve environment where business users can employ tools to guide them through recommended techniques and report formats and ensure that the methods and reports they choose are appropriate to the type of data and information they […]

Case Study: Crown College Uses Predictive Analytics to Retain At-Risk Students

Crown College in St. Bonifacius MN embraced a five-year persistence and completion project four years ago. The college’s Presidents’ Cabinet embraced persistence and completion as an improvement initiative to retain at-risk students and the school had been accepted into the Higher Learning Commission (HLC) Persistence and Completion Academy. HLC accredits colleges and universities in a […]

How AI Empowers Machine Learning to Be More Democratized

Click to learn more about co-author Adam Carrigan. Click to learn more about co-author Jorge Torres. Traditionally, machine learning tools were only available to enterprises with the necessary budget and expertise. Now, AI is empowering machine learning to be democratized to reach more users, allowing them to make the business intelligence-driven decisions that could transform […]

Data Science vs. Business Intelligence

The growth of Data Science in today’s modern data-driven world had to happen when it did. If one really takes a careful look at the growth of data analysis over the years, without Data Science, traditional (descriptive) Business Intelligence (BI) would have remained primarily a static performance reporter within current business operations. With the rising […]