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

Staffers always loafing on smartphones? Give them an employee engagment app to loaf on | #DataFirst

During the past year, many executives at telecom companies have promised exciting breakthroughs in remote work solutions. They say that advanced internet platforms will allow tons of employees to show up at the office less often, if at all. Some organizations are already using tools like Slack to manage staffers spread around the globe. We spoke ...

Can Splunk’s test/dev test-drive help users predict the future? | #splunkconf16

Application development and deployment can bleed an organization’s resources. Besides the difficulty of snatching up scarce and pricey developers, there is the time and effort it takes to build and deploy apps. And those builders may be in for an unpleasant surprise when the feedback comes in and major tweaking is needed. Wouldn’t it save ...

We’ve heard it all before — Is this round of automated network hype going to deliver? | #NXTWORK

Anyone who has followed the tech circuit for a while has probably grown weary of hearing the term “network automation.” This is something that has been talked about for years, with real-world progress lagging well behind the hype. But now, it seems we’ve reached the event horizon for network automation to materialize; will it be ...

Hard around the edges: The difficulty of securing multiple network envirionments | #NXTWORK

Enterprise data protection is a game with a moving target, nay, targets. Even the model of protecting “the data center and the edge” is looking quaint these days. Which data center? Which edge? As data stores continue growing, splitting and migrating to numerous locations, how is a company supposed to protect it all without an ...

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 ...