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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 […]

Will They Blend? Meeting the Semantic Web

Click to learn more about author Martyna Pawletta. Let’s see if we can serve pizza via the Semantic Web and an analytics platform. Will they blend? Ontologies study concepts that directly relate to “being,” i.e., concepts that relate to existence and reality as well as the basic categories of being and their relations. In information science, […]

Advances in Machine Learning

There is little doubt machine learning has become one of the most powerful technologies in the last decade. The emphasis on “learning” in machine learning allows computers to make better and better decisions, based on previous experiences. Advances in this technology have allowed for recent breakthroughs that promote faster and more efficient business intelligence, using […]

Analyzing Gene Expression Data

Click to learn more about author Jeany Prinz. Express Yourself! All individuals are unique, and so are our data needs. From simple CSV files to REST APIs to Google’s BigQuery or using customized shared components, Data Science Analytics Platforms offer many ways to access and analyze your data. Today, we will demonstrate how to access […]

What Is Natural Language Processing (NLP)?

Natural language processing (NLP) describes a branch of artificial intelligence (AI) that automates language recognition and generation so that computers and humans can communicate seamlessly. To interact with humans, computers must be adept at and understand syntax (grammar), semantics (word meaning), morphology (tense), and pragmatics (conversation). These tasks have proven quite complex. Natural language processing […]

2020 DATAVERSITY Top 20

With 2020 now behind us, we here at DATAVERSITY are taking a moment to look back on the hits and misses of this unprecedented year. What content did you, our readers, seek out most during challenging times? Which topics helped you succeed as a data professional, and what should we focus more on in 2021 […]