Mark Albertson
Latest from Mark Albertson
Kaleido analysts bring IoT, VR and blockchain trends into sharper focus
While a kaleidoscope creates beautiful and colorful patterns, its images are complex, change continuously, and can be often hard to decipher. It therefore makes sense that when four of the technology industry’s leading research analysts decided to form their own firm last year, they chose to name the new venture after the optical instrument. “We ...
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Storj Labs intends to become the Airbnb of decentralized cloud storage
When data needs a place to stay, Storj Labs Inc. has the welcome mat waiting. Just as Airbnb Inc. has transformed the hospitality industry by drawing on a global network of citizens with spare rooms for rent, or Uber Technologies Inc. has revolutionized transportation through a network of cars and drivers with extra time on their hands, ...
This data platform is cloud-scale, replicated and live
In the terminology of enterprise computing, there are plenty of ways to describe data. There’s hot data that is accessed via fast storage, cold data obtained through slower storage, and real-time data, generally viewed as information delivered immediately after collection. Now WANdisco Inc. has provided another addition to the lexicon: live data. “This is more ...
Del Monte’s migration to AWS went unnoticed by some of its own users
When Del Monte Foods Inc. began to consider migrating its entire information technology operation to the cloud on Amazon Web Services Inc., it was looking at a time frame of at least seven months to make the move. By the time Del Monte had completed its migration plan, in partnership with Accenture, that window had ...
Amazon adds cloud services and customers, but the real story is machine learning
Before the 9,000 attendees at the AWS Summit in San Francisco could find their seats at the conference’s morning keynote session today, Amazon Web Services Inc. had already announced the addition of image publishing service Shutterfly Inc. and vehicle services firm Cox Automotive Inc. to its expanding list of cloud customers. “They are going all-in on ...
AWS Summit keynote spotlights machine learning upgrades amidst cloud wars
Amazon Web Services Inc. kicked off its one-day summit in San Francisco, California, on Wednesday with keynote presentations that covered a number of cloud services, but the company’s focus was clearly on SageMaker, designed to create and deploy machine learning algorithms. AWS announced multiple updates to SageMaker at the event, including a “local mode,” which ...
Kubernetes, Greenplum and GemFire fuel Pivotal Software’s enterprise strategy
When Pivotal Software Inc. partnered with Google and VMware Inc. in 2017 to create a managed Kubernetes offering called Pivotal Container Service, or PKS, it was only a matter of time before the initial beta release progressed to general availability. That time came in February, when it was announced that the service would now enable ...
As cloud technologies evolve, Informatica weathers storm of change
During one social event at a data conference in San Jose, California, last month, Murthy Mathiprakasam (pictured) pulled up a chair and began to chat with the information technology executive of a large insurance company, an Informatica Corp. customer. The IT executive was blunt: He was preparing to remove an entire portfolio of cloud technologies ...
AI-ready infrastructure accelerates data science at scale
In a move to simplify artificial intelligence deployment within enterprise computing infrastructures, Pure Storage Inc. has teamed up with hardware maker Nvidia Corp. Using four Nvidia DGX-1 supercomputers, Pure adds its FlashBlade array to create AIRI, the latest tool for the AI-ready infrastructure. “You pull compute and storage and networking all into this compact design so ...
Building predictive data analytics models is now a team sport
Running a data analytics division inside a large company today is like being the head coach at a football all-star game. Everyone on the field has a different-looking helmet, but they still need to work together as a team. At any given time, an analytics group might have machine learning engineers, predictive analytics engineers, data ...
