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 […]
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 […]
Big Data Trends in 2019
The accessibility of data has provided a new generation of technology and has shifted the business focus towards data-driven decision making. Big Data Analytics is now an established part of gathering Business Intelligence. Many businesses, particularly those online, consider Big Data a mainstream practice. These businesses are constantly researching new tools and models to improve […]
AI Platforms: The Next Step in Artificial Intelligence
The use of Big Data has continued to grow and mature, with some organizations reaping considerable rewards. The processing of Big Data has recently advanced to a new level of evolution, in the form of AI (Artificial Intelligence) platforms. AI platforms promise significant impact (and disruptions) over the next decade. The use of AI to […]
Contemporary Data Scientists: Working Machine Learning at Scale
In a recent Magic Quadrant for Data Science and Machine Learning Platforms report, it was expressed that the Data Science and Machine Learning platform market will be in a state of flux over the next few years. Among the drivers of change will be providing Data Scientists with the ability to manage models and collaborate […]