5G Core How to Get There

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.

whitePaper | February 26, 2020

Communication Service Providers (CSP) are looking for new revenue sources to grow their businesses, especially in the enterprise area which will be increasingly important in the future. According to the Ericsson report “5G for business: a 2030 market compass”, by 2030 up to USD 700 billion of the 5G-enabled, business-to-business value could be addressed by CSPs. With the introduction of 5G and edge computing, they are now in a better position to provide new offerings both to enterprises that need to automate industrial processes and to consumers who require improved user experiences for on-line gaming. Edge computing provides distributed computing and storage resources closer to the location where it is needed and targets new business opportunities that provide support for specific application use cases. Some examples of use case areas are augmented and virtual reality, manufacturing and automotive. The innovation rate in this part of the application ecosystem will be significant going forward. The edge opportunity should be seen in a larger context of the enterprise opportunity, where edge computing will be an enabler for many broader use cases, for example within the Internet of Things (IoT) and potentially bundled with other enterprise offerings such as 5G private networks.

whitePaper | April 20, 2022

The Japanese cloud computing market segment is experiencing rapid development, and global cloud services providers (CSPs) are becoming an essential part of the wider I.T. community of the country. As the COVID-19 pandemic accelerates the adoption of cloud-based solutions by the private and public sectors, many Japanese organizations have been leveraging cloud technologies to adapt to an increased volume of employees working from home.

whitePaper | May 8, 2023

APIs represent a new and expanding technological lever for organizations’ competitive advantages, driving speed to market for new digital capabilities. This represents a key growth driver. However, APIs represent an expanding attack surface, with new entry points to disrupt services and gain access to data, including Personal Identifiable Information (PII).

whitePaper | July 22, 2022

This paper defines a set of requirements for edge-to-cloud architectures that apply broadly across multiple industries. These potential uses span from factory floors and healthcare to remote oil and gas installations and expeditionary, forward operating defense bases. This architecture requirement list is not comprehensive, and some of the capabilities are not technically achievable yet. However, they can help define areas for development and can guide the synergy of existing capabilities.

whitePaper | October 27, 2022

In many ways, the cloud1 is more secure than a traditional data center. Asset management, inventory, audit logging, two-factor access controls, connectivity redundancy and firewalls are built into the cloud provider platform. Servers are easier to patch and won’t become outdated within a few years; there aren’t any forgotten boxes sitting in a dark corner with a note reading, “DO NOT TURN OFF.” However, assets on the cloud continue to be compromised, just as those stored in traditional data centers.