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The Semantic Knowledge Graph: A Tribute

Noam Chomsky, the philosopher, cognitive scientist, historian, social critic, and father of modern linguistics, has authored over 1,000 articles and 130 books. The 89-year-old intellectual also has written films and appeared in many documentaries. The substantial work he has done in linguistics and politics has earned him the title of “most cited living author.” Now […]

2018 DATAVERSITY Top 20

As we wrap up 2018 and prepare ourselves for 2019, it’s time to take a moment to review and reflect. And while in review, we take the opportunity to look at the content published, produced, and consumed over the last year. In looking at the top 20 published articles and blogs of the year, Machine […]

Data Science Trends in 2019

When it comes to major Data Science trends to watch in 2019, the co-founder and CEO of Kaggle, Anthony Goldbloom, has predicted that very soon Data Centers will be replaced by departmental or business-specific Data Science teams. As discussed in Data Science Trends in 2018, last year’s major trends continued from 2017 as the growth […]

Make the Most of Graph Databases Through Interactive Analytics

New Big Data systems and advanced technologies are revolutionizing how businesses analyze their data assets and discover new value and insights across their business practices. Barry Zane, Senior Vice President and John Rueter, Vice President of Marketing at Cambridge Semantics, both recently sat down with DATAVERSITY® to discuss how companies are implementing new technologies such […]

Machine Learning Moves to the Hybrid Cloud

The future of Machine Learning (ML) is more: more projects, more stakeholders, and more migrations of high-performance computing (HPC) for Machine Learning workloads to the Hybrid Cloud. A recent survey conducted by Dimensional Research looked at the market momentum of Machine Learning, why companies are moving in that direction, and the hurdles they must overcome […]

The Future of NLP in Data Science

According to many market statistics, data volume is doubling every two years, but in future this time span may get further reduced. The vast portion of this data (about 79 percent) is text data. Natural Language Processing (NLP) is the sub-branch of Data Science that attempts to extract insights from “text.” Thus, NLP is assuming […]

Data Management Trends in 2019

The sudden growth of business data in recent years due to streaming data technologies and Internet of Things (IoT), Mobile, and Big Data pipelines, has businesses struggling to put better Data Management practices in place. Organizations are constantly in search of advanced data collection and storage, Data Management, Data Governance, and Data Security platforms. Why […]