R. Danes

R. Danes is a senior writer for theCUBE, SiliconANGLE Media’s mobile livestreaming studio, who is based on the East Coast. Her fondness for old media and longform journalism converges with an interest in new media and digital content trends. Exploring digital disruption in the realm of publications, articles and writing led her to writing articles about digital disruption everywhere. Got a news tip? Please tweet us @siliconangle

Latest from R. Danes

Is your Big Data strategy a $15 million Excel download? | #BigDataNYC

Customization is a funny thing in that it’s never really finished — not for a living enterprise with an evolving set of problems to solve. A one-of-a-kind Big Data program for a specific business’ concerns sounds neat, but the expiration date is a downer: the first day it can be faced with a question it’s not ...

Why should Google Analytics get all the credit? Tracing the path to purchase with martech | #BigDataNYC

A restaurant puts up a billboard for all-day pancakes across from a restaurant that serves pancakes until 11 a.m. The billboard shows the restaurant’s name, but not its address. This restaurant asks this survey question on bills: “How did you find us?” A majority of diners who order pancakes after 11 a.m. respond, “Google.” Does the ...

A motion detector for enterprise data: Building smarter security | #splunkconf16

Anyone who uses a personal computer with a firewall knows that however secure that system may be, it’s not particularly smart. Yes it blocks threats, but it tends not to reveal much about them — and it sometimes blocks perfectly innocent applications. Likewise, businesses with very large assets at risk have traditionally had to make do ...

The higher-tech food chain: Companies better enter the Digital Age — or else | #BigDataNYC

Big Data and digitization are more than just optional assists to today’s businesses. They are so key, some say that companies who fail to adopt them face an existential threat. And it’s not just traditional companies who have to get on the ball — just as the bar is rising for them, it is too ...

Will new GPUs steal your job, or make you better at it? | #BigDataNYC

Employees at modern-day enterprises likely perform a host of tasks in a day — some of such complexity they require considerable thought; others can be achieved on autopilot. But through history, one sees that automated, seemingly insignificant tasks were once unimaginable feats. They are possible now only through the work of many innovators and technologists of yesteryear. Some ...

Bringing IoT streams to ‘mere mortal’ fingertips with sensor cloud | #BigDataNYC

The benefit of sticking antennae in every corner of an operation is the diversity of data they cull for analytics. However, this brings a logistics problem alongside it; where do you store all of these feeds? Much of Internet of Things (IoT) data’s value comes from analyzing it in context with archival or other data. ...

Lost in translation: Hybrid cloud’s dirty little secret | #BigDataNYC

The hybrid cloud model continues to win over IT professionals and analysts in enterprise. Yes, the cloud is cheap and convenient, but there is something to be said for keeping some workloads on premise — data security is one benefit; regulatory compliance is another. So the hybrid model simply offers the best of both worlds, right? ...

Operating vroom: Cutting the time and talent needed to get from insight to app | #BigDataNYC

It’s slim pickings out there for those seeking highly skilled data talent. Even as universities introduce data science tracks and organizations spring up to enable networking, the average enterprise still struggles to juice the work of 10 data scientists out of the one or two they may have on deck. Until the output of the academies ...

Could the GPU be the sleeper hit of the new cognitive computing world? | #BigDataNYC

It’s no secret that Big Data is putting heavy strain on traditional infrastructure and processing systems. And symbiotic technologies, like cognitive computing, machine learning and artificial intelligence, that an SVP at IBM recently called “Big Data on steroids,” won’t be lightening the load. Some IT professionals say these technologies will require major infrastructural changes down to ...

Where does today’s business draw the line with DIY IT? | #BigData

Open source software is free. So if companies can collect open-source software products, configure them, test them and learn to use them to run their businesses, what place do for-profit companies have in the equation? An important one, according to Claude Robinson III, senior director of product marketing, converged infrastructure at Oracle. “The old model of ...