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The latest big data news and articles

Striim Delivers Streaming Hybrid Cloud Integration to Microsoft Azure

Striim™, Inc. announced that it has launched version 3.7 of its end-to-end real-time data integration and streaming analytics platform. Driven by customer requirements and demand, this release focuses on facilitating real-time, hybrid Cloud integration, and simplifying the management of applications running on streaming data.

Bringing Artificial Intelligence to Life

Artificial Intelligence (AI) may seem like a vision for a distant future, but in truth, AI is all around us as machines are increasingly learning to sense, learn, reason, act and adapt in the real world. This is transforming industries and changing our lives in amazing new ways, by amplifying human capabilities, automating tedious or dangerous tasks, and solving some of our most challenging societal problems. In this article, we’ll discuss the path to AI with Intel technologies.

Sisense Introduces Sisense Pulse, Leveraging Machine Learning to Automatically Alert Users to Data Anomalies

Sisense, disrupting the BI market by simplifying business analytics for complex data, announces the launch of Sisense Pulse, which provides proactive, smart and easily consumable notifications about a user’s most important business events, in real-time when changes occur. Sisense Pulse leverages machine learning technology to analyze and learn data patterns to detect and proactively alert […]

Big Data Use Case – What Ticketmaster Learned

The insideBIGDATA technology use case guide – Ticketmaster: Using the Cloud Capitalizing on Performance, Analytics, and Data to Deliver Insights provides an in-depth look at a high-profile cloud migration use case. One of the most widely discussed topics in IT today is moving workloads to cloud. The process of deciding whether or when to migrate to the cloud can be daunting. Further, finding the right technology fit for your enterprise objectives can be challenging with a cloud solution ecosystem filled with alternatives. To make the cloud adoption process more straightforward, this white paper provided a number of areas for consideration when evaluating a cloud platform.

So, You’re the Data King. Now What?

In this special guest feature, Tara Kelly, CEO of SPLICE Software, discusses how the practice of trying to be Big Brother while offering customers little in return will lead to the eventual death of effective CRM. Instead, companies can use this data to provide an experience that people value enough to see the benefits of sharing their personal information.

“Above the Trend Line” – Your Industry Rumor Central for 5/16/2017

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category 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.

How NLP Can Help Healthcare “Catch Up”

In this special guest feature, Simon Beaulah, Senior Director of Healthcare at Linguamatics, discusses how natural language processing (NLP) has become a crucial tool in healthcare and the life sciences as these sectors struggle to catch up to other industries and transform their big data into actionable data.

Dow Jones launches Data, News and Analytics (DNA) Platform

Dow Jones has announced the beta launch of DNA, a platform that empowers third-party businesses to access and integrate Dow Jones news and data into their own solutions. With the launch of DNA (“Data, News and Analytics”), Dow Jones is opening up its unrivaled archive of premium news and data to customers, partners and their developers for the first time in its 130-year history.

How Traditional Industries Are Using Machine Learning and Deep Learning to Gain Strategic Business Insights

Many enterprises are now embracing an accelerated path for accessing, and processing, and using data through machine learning. This article is part of a full report that explores trends in machine learning and deep learning.

NVIDIA to Train 100,000 Developers on Deep Learning in 2017

[GPU Technology Conference Coverage] To meet surging demand for expertise in the field of AI, NVIDIA announced that it plans to train 100,000 developers this year — a tenfold increase over 2016 — through the NVIDIA Deep Learning Institute. Analyst firm IDC estimates that 80 percent of all applications will have an AI component by 2020. The NVIDIA Deep Learning Institute provides developers, data scientists and researchers with practical training on the use of the latest AI tools and technology.