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 […]
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.
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™, 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.
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.
In this video from SC16, Dr. Eng Lim Goh from HPE/SGI discusses new trends in HPC Energy Efficiency and Deep Learning for Artificial Intelligence. “Recently acquired by Hewlett Packard Enterprise, SGI is a trusted leader in technical computing with a focus on helping customers solve their most demanding business and technology challenges.”
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.
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.
The insideBIGDATA Guide to Deep Learning & Artificial Intelligence is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting area of technology. This is the second in a series of articles providing content extracted from the guide. The topic for this segment is the difference between AI, machine learning and deep learning.
Cluvio, the first cloud analytics SaaS platform to offer combined power of SQL and R for data science and visualization, announced the launch of new pricing options, including Cluvio Free and Cluvio Starter plans, to simplify the entry into the data-driven era for Small and Medium Enterprises.