Mark Albertson

Mark Albertson is a senior writer for theCUBE, SiliconANGLE Media’s livestreaming studio. He is an experienced technology reporter, recognized by Onalytica as a "Who's Who In Cloud Influencer" and named to Peerlyst’s “24 Powerful Cybersecurity Journalists.” Prior to SiliconANGLE, Mark wrote for the San Francisco Examiner, Blasting News, and CBS-Bay Area.

Latest from Mark Albertson

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 ...

China’s businesses and cities benefiting from this big data platform

In 2011, Yuanhao Sun (pictured) was part of the Intel team that released the first enterprise Apache Hadoop in China. Seven years later, he is leading a team at Transwarp Technology Inc. that built a distributed in-memory analysis engine and real-time, large-scale computation platform, claiming better performance of open-source Hadoop by factors of 10 to ...
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The era of big data moves into the realm of action and ethics

With big data and its consequences very much in the news this year, the conversation around the handling of information streams is turning toward issues such as privacy and bias. The big data era has moved from the technical requirements, such as ingestion and storage, into the realm of action, where enterprises need to put data ...

IBM Watson with blockchain boost adds visibility to supply chain disruptions

IBM Corp. has made big bets on Watson, its artificial intelligence platform, and the revolutionary ledger system blockchain. So, it only makes sense that the company would ultimately combine the two for the next generation of transaction systems. One key area that could reap the benefits of what AI and a distributed ledger have to ...

Security, 5G help drive Nuage Networks’ software-defined WAN strategy

The software-defined wide area network represents a technology solution that is quietly working its way into the enterprise picture. Once viewed as a valuable connectivity solution for organizations with multiple branches, SD-WAN is gaining traction within the enterprise for its ability to manage applications delivery in the multicloud world. “It is a combination of factors ...

Latest Kubernetes update sets stage for KubeCon in May

With the release of Kubernetes 1.10 in March, developers and users familiar with the project will have plenty to discuss when the community gathers in Copenhagen, Denmark, on May 2 through 4 for KubeCon, the Cloud Native Computing Foundation’s flagship conference. The first update in 2018 revealed a stronger focus on security, networking and storage, themes that will ...

Oracle serves up its Autonomous Data Warehouse Cloud, seasoned with Amazon-bashing

It’s probably a safe bet that when Oracle Corp. Executive Chairman and Chief Technology Officer Larry Ellison wakes up in the morning, he doesn’t converse with Alexa. The company’s founder spent more than an hour Tuesday during a presentation at the company’s headquarters in Redwood Shores, California, alternately trumpeting the merits of Oracle’s Autonomous Database Cloud and ...

From China to the US, AI still looks a lot like us: imperfect and still learning

Artificial intelligence holds tremendous promise, has been a major disappointment or is a threat that will derail civilization as we know it. All of those views, in fact, were apparent during discussions this week at EmTech Digital 2018, the MIT Technology Review conference held this week in San Francisco. Which characterization is right depends a great deal ...

This data company is accelerating production to conquer the last mile

Picture a room of information technology professionals where they are asked a simple question: How many have been working on a data science model that still has not gone into production after nine months? Then imagine that more than 90 percent raised their hands. That is what’s known as a real business opportunity. “It all ...