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Ascend Launches to Create Automated and Intelligent Dataflows to Power Digital Transformations

According to a recent press release, “Ascend, provider of the world’s first Autonomous Dataflow Service, today emerged from stealth with $19M in funding to de-risk big data projects and accelerate digital transformations. Ascend operates the only solution with which data engineering teams can quickly build, scale, and operate continuously optimized, Apache Spark-based pipelines. By combining […]

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 […]

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 […]

Building an Effective Data Science Team

Dr. Cindi Thompson considers Data Scientists to be raccoons: “Raccoons are both smart and dangerous, and that’s kind of the way we think about Data Scientists.” Speaking at the DATAVERSITY® Enterprise Analytics Online 2017 Conference, in her presentation titled “How to Get the Most Value from Data Science Teams” Thompson said, “Raccoons have that desire […]