It’s widely accepted today that the phrase “big data” implies more than just storing more data. It also means doing more with data. There are arguably too many terms that we use to describe the ...

Most industrial companies began collecting data for specific production improvement initiatives within the past five years. The top 3 business drivers for data collection and analysis are: improvement ...

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

The students will work with faculty, graduate students, and undergraduate students on challenging topics related to decision, risk, and big data analytics. The tools that will be used include: network ...

“Data” is the watchword of the progressive gov tech professional today. If we can put a number to a problem — quantify it, catalog it, assault it with an avalanche of analytics — all will be well.

Big Data analytics requirements have forced a huge shift in data storage paradigms, from traditional block- and file-based storage networks to more scalable models like object storage, scale-out NAS ...

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...

Forbes contributors publish independent expert analyses and insights. Exploring Cloud, AI, Big Data and all things Digital Transformation. Analytics is probably the most important tool a company has ...

Accounting combines three things many people enjoy: problem-solving, money, and working with people. And thanks to the use of data analytics in accounting, these parts of the job are more exciting, ...