London (17 July 2019): The producers of Hannover Messe, the world’s largest manufacturing exhibition, have just struck a cooperation agreement with the IoT M2M Council (IMC), the largest industry group serving the “Internet of Things” sector exclusively, to cooperate on new exhibitors and conference content. The IMC is mandated to concentrate specifically on infrastructure for […]
With the amount of data that’s moving to the cloud, you’re going to need a trusted security solution to help protect this data. McAfee MVISION Cloud is that solution. It protects data where it lives today, with a solution that was built natively in the cloud, for the cloud. Moving from legacy applications to the […]
The demands on enterprises to improve time to market is driving firms of all sizes to move their databases to the cloud. Even companies used to rolling their own technology solutions are drawn to cloud databases. While DBaaS cloud offerings are gaining more traction as a solution for changing workloads and environments, that need to […]
Your infrastructure consists of many parts: Traditional infrastructure, virtualization, and maybe even a private cloud. But nothing you’ve deployed so far is agile enough to meet demand or integrated enough to maintain control. If private clouds worked like public clouds, you’d have exactly what you need. Rely on Red Hat OpenStack Platform as a versatile […]
Read on this article to learn comprehensive introduction to AI technologies and how to implement them. Semantic technologies are a core component of intelligent machines. Learn how to align the work of data scientists and subject matter experts to increase the business value of your data lake.
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 […]
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.
The Industrial Internet of Things (IIoT) incorporates advanced technologies to harness sensor data, machine-to-machine (M2M) communication in various industries. In the digital world, data can be stored, operations can run non-stop 24 hours a day, seven days a week because everything is connected, and tasks are logged and tracked properly. IIoT allows such tasks to […]
Why buy fancy AI processors if you already have decent CPUs? Sebastian Moss talks to Intel about its plan to stop you turning to a competitor.
Machine learning will increase the demands on data center performance, leading to new ways to cool and power the systems there, reports Peter Judge.
In our first special edition of the Cloud Adoption and Risk Report, we surveyed 1,000 enterprises and analyzed data from billions of anonymized real-world cloud events to show how businesses are achieving growth with the cloud. We uncover what leading companies are doing to accelerate growth ahead of the rest and the hurdles they’ve overcome […]
A recent global survey of 900 senior IT decision makers showed a major expectation gap between what IT managers hoped the public cloud would do for their organization and what actually transpired. 91% of respondents believed by moving to the cloud it would simplify operations and provide greater insight into their data. Respondents who felt […]
Enterprises are increasingly using hybrid environments, but this move can come with risks and challenges especially for organizations adopting DevOps. How can hybrid environment security fit naturally into development processes? How can you secure your apps and services without compromising your schedule? (Hint: It’s all in the automation.) Enterprises are using hybrid cloud technologies to […]
But with AI’s rapid growth, it is easy to have missed some of the terminology behind the field of study, with its many subsets and different approaches. To help out, here’s a quick intro by DCD.
There are many use cases for AI in the data center, including improved safety and reliability, greater efficiency, and reduced energy consumption. By collecting information from infrastructure, AI can predict faults and respond in milliseconds.