New research announced by Continuum Analytics, the creator and driving force behind Anaconda, a leading Open Data Science platform powered by Python, finds that 96 percent of data science and analytics decision makers agree that data science is critical to the success of their business, yet a whopping 22 percent are failing to make full use of the data available. These findings are included in Continuum Analytics’ new eBook, Winning at Data Science: How Teamwork Leads to Victory.
The latest big data news and articles
New Research Proves Increased Awareness in the Value of Open Data Science, but Enterprises are Slow to Respond
In this special guest feature, Ty Tucker, CEO of REV, discusses predictive and prescriptive analytics, and how they can be used in tandem to achieve the best results for a business.
Impetus Technologies Announces StreamAnalytix 3.0 Featuring Support for Apache Spark-Based Batch Processing
Impetus Technologies, a big data thought leader and software solutions company, announced StreamAnalytix™ 3.0 featuring support for Apache Spark-based batch processing and enriched online and offline machine learning features, helping enterprises maximize the performance of their analytical models and achieve the most favorable business outcomes. The newest version adds to the stream processing capabilities driven […]
I recently caught up with Jennifer Cheplick, Sr. Director of Product Marketing at Syncsort, to discuss how the concept of a data lake is now commonplace, as businesses realize the value of having a single repository to house all enterprise data in its original, unaltered format. While this is a vital step in mastering a single view of all data assets, left unchecked, it can turn into a data swamp.
MapR Technologies, Inc., the provider of the converged data platform, announced MapR Edge, a small footprint edition of the MapR Converged Data Platform. Addressing the need to capture, process, and analyze data generated by Internet-of-Things (IoT) devices close to the source, MapR Edge provides secure local processing, quick aggregation of insights on a global basis, and the ability push intelligence back to the edge for faster and more significant business impact.
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.
In this special guest feature, Christophe Marcant, Senior VP for Strategy & Communication for Stibo Systems, explains how there is great opportunity to leverage machine learning (ML) to adapt data from a source to a consumer faster. So, rather than focusing on enforcing format and meaning to facilitate exchanges, ML will enable organizations to discover patterns in data, propose associations, correlations, and adaptation.
Pitney Bowes Inc. (PBI: NYSE), a global technology company that provides innovative products and solutions to power commerce, introduced a new data practice to help businesses accelerate their digital transformation initiatives. This new cross-company practice is designed to help organizations utilize data and analytics to deliver a superior customer experience, support product and service innovation, and optimize business processes.
In this contributed, Eric Tran-le, Global Chief Marketing Officer at Logtrust Inc., discusses how big data analytics is being used to fight fraud across a number of different industries facing the same data problems.
Zaloni announced the release of a new solution, Zaloni Data Lake in a Box, which provides a turnkey, cost-effective package to help more enterprises maximize value from their data – in weeks instead of months. Zaloni Data Lake in a Box helps enterprises overcome two major hurdles: breaking down data silos to enable business use cases with agility, and balancing the priorities of IT – governance, control, data management – with the priorities of line-of-business/end users, who want easy access, speed and flexibility.