Telco Edge Cloud Value & Achievements

whitePaper | January 19, 2023

Agility is no longer simply a desirable business characteristic. Because of the unprecedented levels of agility that have been enabled by IT, it is now a critical business quality. To maintain competitive levels of agility and keep pace with a quickly evolving macro-IT environment, organizations are currently facing a pressing need to modernize both their applications and their methods for developing and deploying those applications. Organizations that have already done so are reaping the benefits of faster application development and deployment, as well as greater portability across their expanding environments, which can include multiple public clouds, on-premises data centers, and edge locations. IT organizations that don’t modernize their applications will not only fail to enjoy these benefits, but will also be unable to sustain competitive levels of agility.

whitePaper | June 14, 2022

The acceleration and convergence of IT and communications innovations are unlocking new revenue opportunities for service providers. In 5G, the biggest differentiation will come from the introduction of standalone 5G cores and 5G Advanced capabilities, much of it aimed at enterprise use cases and much of it just beginning.

whitePaper | February 3, 2022

Cloud computing is a generational shift that has transformed how modern solutions are being developed and deployed. Database-as-a-service (DBaaS) has witnessed an enviable and inexorable growth in recent years. Yet, we are still in the early stages. A vast amount of legacy data and analytics systems are still waiting to be modernized.

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.

whitePaper | September 29, 2022

Citrix understands that data protection is one of the top priorities for our customers when selecting a cloud service. Data protection is also a rapidly-evolving domain and requires enterprises to assess more information over time about the data handling practices of their vendors.