The edge, the cloud & the hybrid approach

| March 19, 2019

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New capabilities like predictive maintenance are made possible by recent developments driving real-time insights generated from the data that’s being captured, processed and analyzed from all the connected machines, critical systems and other sensor-laden devices in the factory. The most common use case for machine learning in IoT is for predictive analytics, according to an IDC survey, where 83% of the respondents were developing predictive-analytics capabilities.

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Prime View

As an established and expanding organization, Prime View provides professional recruiting, staffing, consulting, and business solutions focused on the technical and information technology needs of Fortune 500 clients.

OTHER ARTICLES

Zoom, Microsoft cloud usage are rocketing during coronavirus pandemic, new data show

Article | March 30, 2020

New data points Monday bear out that digital tools like Zoom Video Communications Inc.’s teleconferencing software and Microsoft Corp.’s cloud-computing offering are seeing huge spikes in usage as the COVID-19 pandemic keeps workers housebound.Zoom ZM, -0.79% is thought to be a key beneficiary of the novel coronavirus outbreak, which has forced more employers to experiment with remote-work tools. Shares have surged roughly 50% in the past month on the expectation that businesses and schools are increasingly experimenting with the company’s videoconferencing tools and might even stick around as paying customers after the public-health crisis subsides.

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TierPoint Lines Up $320 Million in Equity Funding from Investor Group

Article | March 25, 2020

We have been closely tracking the growth in second-tier data center markets. As the Internet and cloud services penetrate every corner of the global economy, data must reach new populations, filling in the empty spaces in the data center map. Businesses’ reliance upon the Internet is growing, and many prefer to house their data and applications in close proximity to their offices.The rapid growth of cloud computing has attracted new types of investors in the data center industry, who are eager to capitalize on the sector’s success. That includes infrastructure funds and sovereign wealth funds with deep pockets and extended time horizons.Infrastructure funds, which traditionally have invested in projects like airports and toll roads, tend to have longer timelines for return on investment than private equity funds, which have been the prime movers in data center investing. The industry has also seen interest from sovereign wealth funds state-owned entities with deep pockets as well as wealth management firms that aggregate funds from affluent families.

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New Cloud TPU VMs make training your ML models on TPUs easier than ever

Article | June 1, 2021

Today, we’re excited to announce new Cloud TPU VMs, which make it easier than ever before to use our industry-leading TPU hardware by providing direct access to TPU host machines, offering a new and improved user experience to develop and deploy TensorFlow, PyTorch, and JAX on Cloud TPUs. Instead of accessing Cloud TPUs remotely over the network, Cloud TPU VMs let you set up your own interactive development environment on each TPU host machine. Now you can write and debug an ML model line-by-line using a single TPU VM, then scale it up on a Cloud TPU Pod slice to take advantage of the super-fast TPU interconnect. You have root access to every TPU VM you create, so you can install and run any code you wish in a tight loop with your TPU accelerators. You can use local storage, execute custom code in your input pipelines, and more easily integrate Cloud TPUs into your research and production workflows.

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How Are You Addressing Data Privacy Compliance On-Prem?

Article | August 8, 2021

The growth of data privacy regulation around the world is changing how companies store data. But what if something that has to stay the same is your on-prem data center? This article will cover data privacy in the data center, looking at both the drivers keeping personal data on-prem, the challenges to meeting data privacy regulations in the data center, and show how NetApp Cloud Data Sense’s new support for NetApp appliances and on-prem databases can massively reduce the burden of compliance for on-prem deployments. Why Some Data Needs to Stay On-Prem Reasons for Data to Stay On-Prem Public sector guidelines Performance concerns Specific expertise on premises Barriers to migration There are a number of different reasons why companies may choose not to move data to the cloud. While these reasons are primarily due to business concerns, any personal data that is stored on-prem is going to need to stay compliant with the growing number of private data regulations in force today. Public sector guidelines Data localization can be a factor for a number of reasons. Some localities require data to be protected in redundant format, specifically using on-prem machines. There are also some regulations, such as GDPR, which limits the transfer of data out of a specific region. That can be limiting for cloud deployment, and make staying on-prem more attractive. Performance concernsThe highest performance for your data is using the machine closest to the data. In the cloud, there are high performance options available, but some companies may not want to lose the superior performance that having data and compute on the same in-house appliance provides.

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Spotlight

Prime View

As an established and expanding organization, Prime View provides professional recruiting, staffing, consulting, and business solutions focused on the technical and information technology needs of Fortune 500 clients.

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