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. Find R. Danes on Twitter @DanesRd. Got a news tip? Please tweet us @siliconangle.

Latest from R. Danes

Is the hottest new thing in security cooking in the networking kitchen? | #NXTWORK

The cyber security problem is growing at about the same rate as tech innovation itself — which is to say, most folks are having trouble keeping up. The types of threats are multiplying together with access points — like the number of different devices on which people store data. A pure-play security company might find ...

Dynamic duo: How networking is riding cloud’s coattails into the limelight | #NXTWORK

A familiar pattern in IT is the under-and-over cycle of problem to solution to problem again; a new solution tackles some problem, and then a frustrating new challenge bobs up to take its place. This cycle is the bane of companies trying to build the best IT solutions possible, but it provides opportunities for vendors ...

Tipping the scale: Attacking the pesky ‘Big’ in Big Data | #BigDataNYC

Some analysts recommend that companies of all sizes should pursue Big Data strategies. They say that even smaller businesses can make significant gains from integrating data into their operations. Fair enough, but smaller companies tend to have smaller infrastructure and databases. Even very large enterprises can feel small in context with Big Data. So how ...

Corporeal to virtual: Remodeling the business model with software and AI | #BigDataNYC

Through a quick Google search, it’s not hard to locate scare pieces about how automated robots, machines and computers are going to displace the workforce in coming years. However, talk to some folks working closely with companies making the digital transformation, and you’ll quickly get a glimpse of the brighter side of this story: Human ...

Can companies with too many, too few or zero data scientists all use this same solution? | #BigDataNYC

One major complaint we hear from companies working with Big Data is that their data scientist is also their data janitor — in other words, he or she is wearing too many hats. All of this multitasking deprives the data scientist of time to drive profit with real innovation. A second problem some businesses face ...

New York minute: The blink-and-you’ll-miss-it pace of change in data monetization | #BigDataNYC

The BigDataNYC 2016 conference wrapped today after multiple days of conversations and controversy over the destiny of data for enterprises. Everyone offered their own opinions on where the gold is today, and where it might be tomorrow. Outstanding are a couple of trends that seem to be solidifying enough to last until the 2017 conference (maybe). Dave ...

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 ...