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Data Science Trends in 2020

The exponential growth of data, partly generated by sensor-driven devices, is making Data Science and machine learning (ML) market differentiators in global business-analytics solutions. With the rising demand in Data Science and ML skills, 2020 may well be a witness to several new trends in the field.  According to IDC: “[I]f our digital universe or […]

2019 DATAVERSITY Top 20

It is once again time to look back and evaluate the struggles and successes of the previous year and then build those lessons into the year to come. Part of how we do that here at DATAVERSITY is to look at the content consumed by the community over the year and evaluate what was hot […]

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 […]