R. Danes
Latest from R. Danes
Comparing popular data integration tools’ bang for buck | #theCUBE
In the Digital Era, growing companies increasingly find themselves amassing great data stores. The size and diversity of these data sets can result in sprawl and confusion for IT teams. Bringing in a vendor to integrate and organize them can be costly; we spoke with one technologist about the pros and cons of available options. ...
Can cross-pollinating data and security block the new cyber-hacking threat? | #theCUBE
These days there is a lot of talk about migrating up the stack; businesses are abandoning data centers and moving to cloud to focus on applications higher up the stack; vendors want to get out of plumbing and into up-the-stack software as a service. Some smart vendors don’t just want to move up the stack, but ...
Show me the money: selling inexact data science to tight-fisted investors | #CDSUSA
What industry takes risk management more seriously than finance? Corporate and personal investors want a gold-embossed sure thing when they sink their cash into a venture. So techies who come to them with an untested data analytics toy will likely find them tough customers. Some folks in the finance world are out to dispel anxieties ...
The Gawker effect: Can deep learning go deep enough to write tomorrow’s headlines? | #CDSUSA
When now-defunct Gawker revealed its use of analytics in content decisions, many old media types shook their heads; algorithms must not replace human judgement in journalism, they warned. But some believe a happy medium is possible: Data can be sourced and analyzed to inform content writers while leaving them with the final say on what ...
Are startups the perfect career switch for educated experts and academics? | #Amplify
Startups are honing in on more and more specific domains these days. Untapped markets are being identified by founders, and even quirky ideas sometimes become profitable ventures. One key to success in highly specialized apps might be prior experience in a non-tech field like medicine. We spoke with one CEO who dropped out of healthcare ...
Solving the great female founder funding vs. profits mystery | #Amplify
Looking at the stark gender divide in technology startups, different individuals will draw different conclusions. Some may chalk up the difference to hard economics; sure, gender parity is a nice idea, but if male founders bring in bigger returns, it’s not the fault of the VCs. Others have rejected this explanation and sought objective evidence ...
Digital twin technology must democratize: here’s where GE sees most value | #GEMM16
When companies talk about digitizing business, they are often referring to intellectual processes — making them more efficient through collecting, organizing and disseminating information digitally. They don’t mean taking physical assets and actually making them digital. But digital twin technology offers companies a way to conceptually do just that — some experts say the industry is just ...
Living in limbo: what to expect for utilities making the IoT transition | #GEMM16
The digitization of businesses — even traditional and brick-and-mortar-based ones — continues to spread steadily. Big industries, from oil big rigs to jet turbine manufacturers, are revamping their models from the ground up with new digital models befitting the analytical prowess underlying the Internet of Things. Power utility providers are in the middle of a major digital transformation ...
This company spun out from mobile ads to Big Data — and now helps customers do the same | #GEMM16
Mobile advertisements have turned out to have unintended uses for companies; rather than simply helping them sell a product or service in the ad, they also provide a feedback loop of insight about their customers. Customers’ responses in aggregate are essentially big data. So it should not be surprising when a company that started in mobile ...
Industrial strength: How the Internet of Things is grappling with scalability | #GEMM16
Industrial Internet of Things deals in big stuff — big companies, big assets, big analytic tasks. Thus, building a user-friendly platform to serve this market poses challenges, number one of which is scale. How will companies perform analytics on large numbers of physical assets in need of digital representation? Machine learning and virtualized replicas can ...
