A technology infrastructure journey for the public sector

whitePaper | March 17, 2022

The Telco Edge Cloud (TEC) initiative was launched in the GSMA in March 2020 by 19 operators to design and develop a global edge computing service based on the federation of the edge infrastructures and platforms from a set of operators and edge service providers. Being open and inclusive, the TEC community within the GSMA has grown to include technology and platform providers, counting 24 members at the time of writing this edition of this whitepaper and has set the basis for the global service launch.

whitePaper | February 6, 2022

Cybersecurity is a top concern at the highest levels of government and industry worldwide. More than ever, government and corporate leaders – from Senators and Members of Parliament to CEOs and Board Directors – are deeply engaged in ensuring effective cybersecurity strategies are in place at government agencies and companies.

whitePaper | November 25, 2019

Oracle Database Appliance X8-2-HA is an Oracle Engineered System that saves time and money by simplifying deployment, management, and support of high availability database solutions. Optimized for the world’s most popular database Oracle Database it integrates software, compute, storage, and network resources to deliver high availability database services for a wide range of custom and packaged online transaction processing (OLTP), inmemory database, and data warehousing applications. All hardware and software components are engineered and supported by Oracle, offering customers a reliable and secure system with built-in automation and best practices. In addition to accelerating the time to value when deploying high availability database solutions, Oracle Database Appliance X8-2-HA offers flexible Oracle Database licensing options and reduces operational expenses associated with maintenance and support.

whitePaper | June 3, 2023

As organizations continue to increase their cloud investments, the challenge of reducing and optimizing cloud costs has become bigger than ever before. According to various surveys and state of cloud reports, enterprises typically waste around one-third of their cloud budgets due to multiple inefficiencies and planning failures. Regardless of their cloud maturity, most organizations identify cloud cost optimization as a key challenge.

whitePaper | November 25, 2019

Oracle Database Appliance is an Oracle Engineered System that saves time and money by simplifying deployment, management, and support of database solutions for organizations of every size. Optimized for the world’s most popular database Oracle Database it integrates software, compute, storage, and network resources to deliver database services for a wide range of custom and packaged online transaction processing (OLTP), in-memory database, and data warehousing applications. All hardware and software components are engineered and supported by Oracle, offering customers a reliable and secure system with built-in automation and best practices. In addition to accelerating the time to value when deploying database solutions, Oracle Database Appliance offers flexible Oracle Database licensing options and reduces operational expenses associated with maintenance and support.

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.