The essential first step for manufacturers is to consider how much data the enterprise has at its disposal. Most ...

AI financial operations staartup Ramp announced its Series E-2, raising $500 million at a $22.5 billion valuation. With this round, New York-based Ramp has raised $1.9 billion in total equity ...

You’ll see how to apply mathematical optimization algorithms that often prove superior to local optimization methods favored by typical machine learning applications and discuss why these methods can ...

Pinpointing threats that are already on the inside will require a new type of authentication, where privileged identities are verified continuously, rather than at a single point of time.

Ask a Data Scientist.” Once a week you’ll see reader submitted questions of varying levels of technical detail answered by a practicing data scientist – sometimes by me and other times by an Intel ...

In the Hadoop Summit 2015 presentation below, SVP of Engineering at Actian, Emma McGrattan will discuss ways users can navigate around Hadoop’s technology limitations and turn it into a ...

Traditional approaches to forensics are massively cumbersome. These would include analyzing network traffic, continually instrumenting and analyzing log files and then watching for anomalous behavior ...

This brings the life sciences squarely up against the challenges of the “5 Vs” of big data: volume, veracity, velocity, variety, and value. The paper details the specific problems facing life sciences ...

The IP & Science Business of Thomson Reuters has announced a strategic initiative with NuMedii . The companies will leverage high-quality data, knowledge and predictive technologies to identify ...

I found an excellent article in a recent issue of the “new” Dr. Dobbs all about machine learning using Apache Mahout, a highly scalable machine learning library that enables developers to use ...

For big data, 2013 is the year of experimentation and early deployment. Adoption is still at the early stages. The survey had ...