Sign up for our newsletter and get the latest big data news and analysis.

IBM Brings Machine Learning to the Private Cloud

IBM announced IBM Machine Learning, the first cognitive platform for continuously creating, training and deploying a high volume of analytic models in the private cloud at the source of vast corporate data stores. Even using the most advanced techniques, data scientists – in shortest supply among today’s IT skills* – might spend days or weeks […]

Key Challenges for Commercial Text Miners

Researchers use text mining tools to extract and interpret facts, assertions, and relationships from vast amounts of published information. Mining accelerates the research process. However, despite the many benefits of text mining, researchers face a number of obstacles before they even get a chance to run queries against the bigger body of literature. Read on as Michael Iarrobino, Product Manager at Copyright Clearance Center, explains the key challenges for commercial text miners.

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.

Logtrust Debut’s Real-time Integrated Threat Analytics Solution Program

Logtrust™, the Real-time Big Data-in-Motion as-a-Service firm for Fast Data, Big Data analytics, announced its Real-time Integrated Threat Analytics Solution Program. The program enables companies to build solutions that analyze the historical behavior of systems and attackers in order to detect, understand and eliminate potential threats in real-time–even those that are coming from multiple sources, across multiple devices.

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.

ExtraHop Introduces Addy: Cloud-Based Machine Learning for Data-Driven IT

ExtraHop, the leader in real-time IT analytics, today announced ExtraHop Addy, the industry’s first cloud service that applies machine learning to the richest source of IT data—wire data—to provide real-time situational insight for IT teams. ExtraHop Addy is always-on, serving as the eyes and ears for IT and helping them take a proactive, data-driven approach to supporting and securing the digital experience.

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.

Valentine’s Day Tip – Managing Your Relationship with Data

Happy Valentine’s Day out to all our friends! Today is also known as the Feast of Saint Valentine, so we certainly can identify with the “feast” part as our beloved Big Data industry continues to feast on lovely data of all kinds – structured and unstructured. A number of our friends from the big data ecosystem reached out to us with their feelings for maintaining a healthy relationship valuable data assets. Enjoy!

Who Will Untap The Next Big Thing in Machine Learning? Hint: It’s Not Our Data Scientists

In this special guest feature, Michael Liberty, COO and co-founder of Signifyd, argues that an overabundance of data scientists is slowing the growth of machine learning. What’s needed is a better balance of data scientists and engineers who can produce machine learning insights at industrial scale.