R. Danes
Latest from R. Danes
Distributed data, apps hasten virtualization rethink
Storing, moving and managing data is becoming a pain in the neck as modern workloads demand gymnastic data agility. Can a virtualized storage or data backup solution bring harmony to hybrid cloud environments and distributed applications making a mess of data? Distributed, data-centric applications are forcing virtualization technology to evolve, according to Duncan Epping (pictured), ...
What’s in NetApp’s data-management pivot for partners, enterprises?
How is NetApp Inc. not only alive, but lavishing in revenue growth as a storage company in 2018? By picking its battles, steering clear of far-out waters, and diving deep into storage as data management. “There is absolutely always going to be a place out there for a best-of-breed story,” said Bruce Shaw (pictured), senior director ...
UNICEF sends SOS to Red Hat to cure epidemics
Technology for social good is an expanding domain attracting boot-strapped entrepreneurs and industry giants alike. Sussing out solutions for epidemics, emergencies and natural disasters isn’t exactly simple arithmetic. Ingenious use of open-source technologies, big data analytics, and agile computing methods is helping innovators slay some of society’s biggest beasts. Red Hat Inc. and United Nations Children’s Fund have teamed up ...
Red Hat and Azure Cloud team up to sweep up container clutter
Containers (a virtualized method of running distributed applications) awkwardly straddle a line between state-of-the-art and too hairy-to-handle. Thankfully, their complexity and that of Kubernetes — an open-source container-management platform — is coming under assault from partnering vendors. Red Hat Inc. announced container management partnerships with public cloud providers Amazon Web Services Inc. and Google Cloud ...
Digital transformation gets real with piecemeal design thinking
The term design thinking may conjure ideas of conceptual fluff or do-nothing aesthetics; in practice, though, it is a productive philosophy and practice for birthing brainchildren into the corporeal world. At least, that is the ideal that IBM Corp.’s multidisciplinary IBM iX design teams set for themselves. “Design we view as a craft; so we have very ...
Analytics redefine the weather report for consumers, companies
Weather data by itself may not sound wildly appetizing, but when kneaded in with additional sources of data, it could bake out a fine predictive analytics meatloaf. “We’re not in the weather business; we’re in the decision business,” said Mary Glackin (pictured, right), senior vice president of science and forecast operations at The Weather Company, an ...
Slay the big data ‘Swamp Thing’ with these governance protips
Now that many companies find themselves with expansive data lakes in this era of big data, what should they do to keep these information reservoirs from coagulating into sticky swamps? Scratch that — what if the ship has sailed, and they’re already up a messy, confusing data creek without a paddle? Without further ado (and without further belaboring ...
Whether or not business believes in weather, it believes in business, says IBM
If a business thinks the weather isn’t its business, it needs to think again. Practically all companies stand to gain or lose from incorporating weather data into their decision making, according to Michelle Boockoff-Bajdek (pictured, left), global head of global marketing, business solutions, at IBM Corp. “There’s something like a half a trillion dollars in economic ...
Blockchain security cement still wet — can this startup set it?
The cryptocurrency token craze is tumbling ahead at a pace that one might call, well, crazy. That’s because blockchain-ledger security is the foundation of token economics — and the cement is still wet, according to Hartej Sawhney (pictured), co-founder at Hosho.io and adviser at Pink Sky Capital. Hype aside, crypto’s still in the early innings, with ...
Voices of a gazillion connected devices sing with AI and ML
A smorgasbord of “internet of things” connected devices — from consumer gizmos to industrial machines — keep flooding in. Do they amount to more than a confusing mess of unsecured things for manufacturers and businesses to manage? They can, if data from the devices is pooled and parsed with machine learning and artificial intelligence. That’s the ...