Red Hat OpenStack Platform: Scalable, Secure Private Cloud-ready for Hybrid Cloud Architecture

Red Hat OpenStack Platform combines Red Hat Enterprise Linux‌ Server and Kernel-based Virtual Machine for a secure, co-engineered infrastructure—a combination that allows users to run nodes like a public cloud in a private environment. Red Hat OpenStack Platform gives enterprises an open foundation to deploy, scale, and manage a private cloud. It combines Red Hat Enterprise Linux Server and Kernel-based Virtual Machine (KVM) into a secure infrastructure—a combination that allows users to run OpenStack nodes (such as compute, storage, and management) like a public cloud, but in a private environment.

Red Hat OpenStack Platform

Read on this article to learn about Red Hat OpenStack Platform’s features, benefits, and technical requirements.
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Modernize IT Monitoring Event Analytics with Predictive Analytics

IT monitoring technology is moving forward rapidly, thanks in large part to machine learning and predictive analytics. If you’re still getting by with a legacy IT solution, you’re missing out on a lot more than a shiny object. The benefits of a New IT approach are being proven every day.

Modernize IT Monitoring Event Analytics with Predictive Analytics
Modernize IT Monitoring Event Analytics with Predictive Analytics

Read on this article to find out how a data-driven, predictive approach to IT monitoring can bring your organization into the world of New IT. You’ll find out where you are on the IT Maturity Framework and get practical tips for how to move up the curve. Plus, you’ll learn how to:

  • Break down data silos to get the most value from all your data without extensive cleansing and preparation
  • Build alignment between your IT department and business stakeholders
  • Speed up the process of identifying bottlenecks and performing root-cause analysis, letting you solve problems faster and prevent them from reoccurring.

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Effective Analytics to Improve Business Decision Making and ROI

What is keeping organizations from effectively using analytics?

Enterprises of all kinds have invested in analytics to improve decision making and outcomes across the business – from product research and innovation to supply chain, customer experience, and risk management. But many executives believe that their analytics initiatives and investments aren’t yet paying off as they should – and the roadblocks to success often lie within their own organization’s processes and practices. In a new survey of 744 business executives around the world and across a variety of industries, conducted by Harvard Business Review Analytic Services, less than one-fifth (18%) of the respondents said their organizations are getting a sufficient return on their investment in analytics.

Effective Analytics to Improve Business Decision Making and ROI
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Eight Storage Requirements of Artificial Intelligence (AI) and Deep Learning (DL)

Data is the lifeblood of artificial intelligence and deep learning (AI and DL). Vast quantities of training data enhance accuracy in the search for potentially predictive relationships.

Here are eight specific storage requirements of AI and DL applications and why they demand the data management capabilities supplied by enterprise object storage solutions.
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