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Cazena Announces New Data Science Sandbox as a Service

Cazena unveiled its Data Science Sandbox as a Service. The service is designed to deliver significantly faster outcomes from data science and analytics programs. Now, data scientists can run a wide range of analytics in a flexible cloud environment without having to build, manage or maintain the underlying technology.

“Above the Trend Line” – Your Industry Rumor Central for 2/20/2017

Above the Trend Line: machine learning industry rumor central, is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items such as people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

The Exponential Growth of Data

This is the first entry in an insideBIGDATA series that explores the intelligent use of big data on an industrial scale. This series, compiled in a complete Guide, also covers the changing data landscape and realizing a scalable data lake, as well as offerings from HPE for big data analytics. The first entry is focused on the recent exponential growth of data.

The Leaky Pipeline Problem -
 Making your Mark as a Woman in Big Data

insideBIGDATA was on hand for the recent Spark Summit East 2017 conference in Boston, and one of the more compelling presentations was by Kavitha Mariappan, VP Marketing at Databricks. The talk focused on the premise that despite the tremendous growth and opportunities in big data today, women still play a small role in this arena.

Will Big Data Influence Artificial Intelligence as a Major Disruption?

In this contributed article, Arun Goyal, Founder at Octal Info Solution, discusses how big data is positioned to influence AI as a major disruption in the industry.

The Advantages of Mining Full-Text Articles over Abstracts

Given their easy accessibility, many researchers use article abstracts to identify a collection of articles for use in text mining. But, while abstracts provide some valuable pieces of information, there are major advantages to taking steps using and mining full-text articles instead. Read on as Michael Iarrobino, Product Manager at Copyright Clearance Center, explains the advantages of mining full-text articles over abstracts.

How Little Data Brings More Value to Big Data

In this contributed article, Mika Javanainen, Senior Director of Product Management at M-Files Corporation, highlights the virtue of employing metadata (little data), which is defined as “data about data” as part an enterprise big data strategy to garner more business value.

“Above the Trend Line” – Your Industry Rumor Central for 2/6/2017

Above the Trend Line: machine learning industry rumor central, is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items such as people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

TOP 10 insideBIGDATA Articles for January 2017

In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels.

4 Ways to Encourage Big Data Adoption in Your Business

In this contributed article, technology writer and blogger Kayla Matthews offers four ways to encourage big data adoption in your business. If you’re trying to stimulate interest in big data throughout your organization and get employees on board, keep reading, encouraging adoption may not always be straightforward, but it’s a worthwhile endeavor.