Bev Bellile
Latest from Bev Bellile
How Google Cloud can cozy up to enterprise users
Google Cloud Platform, despite its cutting-edge technology, is playing catch-up in the world of enterprise cloud. Leading the market is Amazon Web Services, with a market share of approximately 40 percent in Infrastructure as a Service and Platform as a Service. This is a larger share than the next three players — Microsoft Corp., Google and ...
Tailoring technology solutions to support the promise of 5G
The mobile phone industry is currently ramping up for 5G, the upcoming generation of mobile networks. Given that more consumers are using mobile phones for bandwidth-hogging apps and video, the increase of speed that 5G will bring is hotly anticipated by the industry and consumers alike. Much of the behind-the-scenes work to make 5G’s connectivity ...
Diversity must come from empowered individuals, not from HR
While there are many examples of companies having issues with gender, people of color or diversity in general, organizations like the Clayman Institute for Gender Research at Stanford University seek to level the playing field within enterprises so that diverse talent can innovate and excel. Combining academic insight with real-world strategies, the Center researches and offers ...
Deconstructing the value chain: rethinking the telco model and data centers
While the mobile network is recognized today as the primary network where all of the profitability of the telcos is contained, some industry experts believe you have to deconstruct the value chain. One of those experts is Alan Cohen, chief commercial officer at Illumio Inc. “What telcos do is they offer up content, for the most ...
Will microservices rise to handle the heavy lifting on 5G networks?
The big story at this year’s Mobile World Congress is the background work taking place to support a 5G rollout, according to Val Bercovici (pictured), chief technical officer of SolidFire Inc. The next generation of wireless networking has spurred re-architecting efforts at many global telcos, he explained, as the industry makes the switch from virtual machine-based infrastructure ...
Mixing man and machine: automating security functions in the cloud
As more organizations choose cloud solutions to meet their information technology needs, they are also looking to cloud-based security to keep information secure. Organizations are seeking security that is flexible, providing on-demand scalability up and down; visible, providing a simple way to make all of the different cloud components mesh well and work together; and ...
The struggle to secure data in an expanding digital world
Security threats, whether they are ransomware that pops up on your home computer or a denial of service attack that locks up your workplace laptop, steal time, money and peace of mind — and they’re only going to multiply. “The attack surface has become so varied and so broad,” said Dave Packer (pictured), vice president of ...
Deploying a machine learning model with Watson’s newly exposed tools | #IBMML
IBM Corp. is no novice to the tech game, and the company sees its next move as evolving machine learning models and predictive analytics. “We have been in predictive analytics for a long time,” said Dinesh Nirmal (pictured), vice president of analytics development, IBM Analytics, at IBM, sharing his company’s latest efforts to convert this longstanding ...
Machine learning beyond data scientists: the self-serve model emerges | #IBMML
Machine learning has recently come into its own because of the potential for applied automation in finding patterns and correlations in data sets. It’s “very much at the heart of modern applications that developers build,” said James Kobielus (pictured), senior program director of product marketing and big data analytics, IBM Analytics, at IBM Corp. While machine ...
The analyst take on IBM freeing machine learning tools for big data ‘everywhere’ | #IBMML
Extending the life of its mainframes yet again, IBM Corp. announced today that it is bringing machine learning to its traditional mainframe customers, and, eventually, to any computing processes located inside data centers. This will allow the mainframes to take advantage of data in a more modern machine-learning context and extend the useful life of the ...