Kubernetes (sometimes abbreviated to “kube”) is open-sourced, was originally developed by Google, and organizes containers into logical units for transport and use in the cloud. Containers support the construction of self-contained environments capable of transporting data, and the software supporting it. Containers are, ultimately, a way to package software and other application components. It is […]
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 […]
Semantic Web and Semantic Technology Trends in 2019
What to expect of Semantic Web and other Semantic Technologies in 2019? Quite a bit. DATAVERSITY® engaged with leaders in the space to get their thoughts on how Semantic Technologies will have an impact on multiple areas. As DATAVERSITY discussed last year, Knowledge Graphs have gotten a lot of attention as a backbone for Machine […]
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 […]
Data Management and the Internet of Things
Billions of things with sensors surround people and their lives. These Internet of Things (IoT) interact with people, homes, factories, workplaces, cities, farms, and vehicles. Gartner predicts that by 2020, IoT technology will be in 95 percent of electronics for new product designs, from wearables to medical devices and beyond. IoT promises useful information, allowing […]
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 […]
Business Intelligence and Analytics Trends 2019
In 2019, Advanced Analytics capabilities with minimal manual efforts will remain the hallmark of all competitive Business Intelligence solutions. The Business Application Research Center (BARC) 2018 Business Intelligence Survey indicates that the global BI solutions market is slated for major technological changes. The primary technology initiatives that BI users can expect in 2019 are Cloud BI deployments, BI […]
Data Strategy and Machine Learning: How Do They Intersect?
With the tremendous growth of business data in terms of volume, size, and complexity, it is imperative that global enterprises develop a strong Data Strategy to address their core business needs. However, a realistic Data Strategy has to incorporate a clear road map with milestones, so that strategy documents do not end up as digital […]