Why Enterprise CPQ Implementations Fail

whitePaper | January 26, 2022

VMware Cloud on Dell EMC combines the simplicity and agility of the public cloud with the security and control of on-premises infrastructure delivered as a service to data center and edge locations. It is built upon on the latest VMware software-defined data center suite, including industry-leading compute, storage, and network virtualization that is optimized for Dell EMC VxRail hyperconverged infrastructure. It’s quick and easy to procure and delivers a cloud-style consumption model for a range of use cases.

whitePaper | March 2, 2020

This document provides an overview of features and enhancements included in release Oracle Cloud Infrastructure. It is intended solely to help you assess the business benefits of upgrading to Oracle Cloud Infrastructure and to plan your I.T. projects.

whitePaper | December 7, 2022

This document applies to Oracle PaaS and IaaS Public Cloud Services purchased by You, and supplements the Oracle Cloud Hosting and Delivery Policies incorporated into Your order. Except with respect to Section 7 and 8 of this document, section numbers correspond to section numbers in the Oracle Cloud Hosting and Delivery Policies.

whitePaper | May 12, 2022

VMware Cloud Foundation provides a ubiquitous hybrid cloud platform for both traditional enterprise apps and modern apps. Based on a proven and comprehensive software-defined stack including VMware Cloud Foundation with VMware Tanzu, VMware vSAN, VMware NSX-T Data Center, and VMware vRealize Suite, VMware Cloud Foundation provides a complete set of software-defined services for compute, storage, network security, Kubernetes management, and cloud management. The result is agile, reliable, efficient cloud infrastructure that offers consistent operations across private and public clouds.

whitePaper | May 2, 2022

Adequate data usage is a strong differentiator for organizations, and data masters who do it right can expect higher customer satisfaction, revenue growth and improved margins. In this journey of building data initiatives, the cloud is a strong enabler, bringing efficiency and making state-of-the-art AI and Data Analytics tools easier to access. At the same time, consumers’ trust, especially in the use of their personal data, is a strong differentiator, and data privacy, security and fair use are in strong demand from citizens, users, employees, shareholders, and governments.

whitePaper | November 26, 2019

The buzz surrounding artificial intelligence (AI) is hard to ignore. Huge data sets and large amounts of compute are the perfect match for deep learning, astonishing us with algorithms that have beaten grandmasters at games of chess and Go. Today, with access to no more than a web browser, the benefits enabled by breakthroughs in image and speech recognition not to mention machine translation and more are just a few clicks away. There’s the growth of the cloud to consider too. We’re depositing more and more of our data on virtual drives that make it easier to share, back-up and transfer information providing us with new opportunities both in the office and at home. But what do machine learning and cloud computing mean for scientific research? How can these tools help researchers to manage and navigate the vast datasets generated by increasingly sophisticated detectors and experiments? At big science facilities, data streams that used to be megabits per second are now hundreds of times faster, sometimes even more, as detector upgrades come online and new instruments are installed. That’s a lot of data to analyse and verify.