R. Danes
Latest from R. Danes
Thanks to warp speed innovation, school is never out for tech pros | #GSBfutureofinnovation
The demands of the evolving technology world are growing rapidly. The number of roles that will need to be filled by highly trained individuals is a major concern on the horizon; another concern is the continuing education needed to keep old hands competitive with new grads. We spoke with a technology pioneer about how we might ...
Cloud is just someone else’s computer — do you know what your data’s doing there? | #CUBEconversations
Public cloud services like AWS have garnered a ton of fanfare from startups and established businesses. These solutions allow the burgeoning companies to get off the ground with little overhead, and they give larger companies cheap digs for their sizable data to live in. But some in the industry say what these converts gain in economy, ...
Can this company bring data visualization up to date? | #DataFirst
Big data and analytics are evolving at warp speed — some might complain that all the changes are too much to keep up with. Data visualization is one exception; the ways in which data is rendered in graphs and charts have remained remarkably stable for years — and one company is not happy about that. ...
Is this Women-in-Big-Data initiative the answer to the data scientist shortage? | #DataFirst
Companies often bemoan the lack of highly trained data scientists up for grabs on the job market. The field is young, and universities are just beginning to offer data-specific training. Perhaps part of the problem is the bleeding of one cohort of would-be data scientists: Women who find the field hard to advance in for ...
Can IBM’s ecosystem grab hold of the slippery data science market? | #DataFirst
One day there may be one go-to data platform or tool that companies universally trust to get insight, push a button and, presto, deliver value. Currently, the range of available tools that might work, work in some instances or for some companies matches the sprawl of the data science field itself. Can one company take ...
ETL reality check: If your data science model seems to good to be true, it probably is | #DataFirst
Technology companies are launching data science platforms of widely varying complexity. Some claim their tools are so simple they will make “citizen data scientists” out of folks with little or no experience. TheCUBE, from the SiliconANGLE Media team, recently spoke with an actual research scientist who offered a caveat for everyone working with data: Before you jump ...
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 ...