In this contributed article, Vladimir Bugay, CEO and Founder of Knoema Corporation discusses how in the Big Data era, just using internal data is not enough anymore. The ability to supplement internally-derived data insights with those harvested from external data will become a strong weapon for all types of businesses.
New Research Proves Increased Awareness in the Value of Open Data Science, but Enterprises are Slow to Respond
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.
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.
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.
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.
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.
Science progresses when researchers build on prior work to extend, test, and apply theories. Aggregating the quantitative findings from prior research – meta-analysis — plays a significant role in advancing science, however current techniques have limitations. They assume prior studies share similar substantive factors and designs, yet many studies are heterogenous. A new method, co-created by MIT Sloan School of Management Prof. Hazhir Rahmandad, solves this problem by aggregating the results of prior studies with different designs and variables into a single meta-model.
iguazio recently demonstrated its new continuous analytics solution. Designed to help enterprises solve big data operational challenges and generate real-time insights, iguazio’s real-time continuous analytics platform reduces time to insights from hours to seconds, eliminating data pipeline complexities, while seamlessly integrating with Apache Spark and Kubernetes.