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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 […]

2018 DATAVERSITY Mid-Year Top 20

It’s halfway through 2018 and time once again to post the Top 20 pieces of content published and consumed by you, the community, within the last year. What are people reading, sharing, and discussing? So, what’s happening on the list? Machine Learning continues to hover towards the top and makes a couple of appearances. No […]

2017 DATAVERSITY Top 20

The Top 20 Posts of the year are here! As one year comes to an end and another about to begin, it’s a tradition here at DATAVERSITY to take a moment to pause and review the content published over the year by our writers and by the Industry Experts who contribute their thoughts and experiences. […]

What are Data Ethics?

Data Ethics describe a code of behavior, specifically what is right and wrong, encompassing the following: Data Handling: generation, recording, curation, processing, dissemination, sharing, and use. Algorithms: AI, artificial agents, machine learning, and robots. Corresponding Practices: responsible innovation, programming, hacking, and professional codes. Data Ethics build on the foundation provided by computer and information ethics, but […]

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