Dataconomy

JUNE 27, 2018

Data science has gone through a rapid evolution, fueled by powerful open source software and more affordable and faster data storage solutions. Universities have adapted to the increasing demand as well and are graduating analytically trained students at an unprecedented pace. This evolution opens new and innovative pathways for many. The post Four Data Analytics Pitfalls and How to Avoid Them appeared first on Dataconomy.

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DataRobot Blog

JUNE 25, 2018

by Jen Underwood. In light of recent S-1 confessions and warnings about DOMO’s precarious situation, my condolences go out to DOMO’s customers, staff and investors. If DOMO does not pull off a successful IPO, Read More.

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Dataconomy

JUNE 25, 2018

Over the last several years, the global database market has made significant strides toward leveraging real-time information. As telcos and other industries prepare for the transition to 5G, it’s apparent that real-time data analytics are key for organizations looking to capitalize on the promise of 5G. Although the current. The post The Rise of 5G: A Culture Shift in Data Analytics appeared first on Dataconomy.

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Dataconomy

JUNE 28, 2018

Artificial intelligence, machine learning, big data, financial technology, and various connected devices are evolving the data-tech game on a day-to-day basis. Data enthusiasts are integrating into local communities on a world-wide scale to discuss and keep up with the fast pace of data-driven technologies. Here are four tips on how. The post Four Tips To Plug Into the Data Community appeared first on Dataconomy.

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Dataconomy

JUNE 28, 2018

The network effect is a curious phenomenon that describes the group’s benefit that ensues as each new member joins and begins using the same product or service. It applies to several industries and ideas, and can be found in examples like eBay, the popular auction site. As more people join. The post How Blockchain Can Supercharge the Network Effect appeared first on Dataconomy.

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DataRobot Blog

JUNE 25, 2018

by Jen Underwood. As data continues to grow and exceed current BI and analytics system capabilities, more organizations are adopting big data analytics solutions. Please join me and Wendy Gradek from AtScale in a. Read More.

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