Temenos Cloud

whitePaper | January 22, 2020

Record numbers of businesses are investing in as-a-Service (XaaS) infrastructures and moving parts (or all) of their IT infrastructure to public clouds. Many of these same businesses are moving their databases to the cloud as part of this trend. Why? The promise of the cloud is easy setup, simplified management, guaranteed availability, and on-demand scalability all at a knowable price with no surprises. In the minds of companies moving their database to the cloud, this translates to a one-and-done decision that comes with a low overhead: database instances, on demand, with little to no oversight or hassle. You probably can even reduce the number of DBAs on staff! But is it true? In reality, cloud providers provide an excellent resource for creating and maintaining cloud database infrastructure, but do not provide the necessary technical expertise that gets the best business value out of your database. It is a company’s responsibility to develop, implement, and optimize the architecture that most serves their business goals.

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 | March 9, 2023

As organizations strive to move forward in their multi-cloud journey, they face the challenge of having different infrastructure across their private and public cloud platforms. The major public clouds use different hypervisors, networking and storage, and management tools, while most on-premises applications run on VMware vSphere®. Organizations see the benefits of having consistent architecture on-premises as in the cloud, enabling consistent infrastructure and operations across environments. They can leverage their existing skills and automation and reduce complexity and management burden. But organizations also want to take advantage of public cloud services to modernize applications and speed up their digital transformation.

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 22, 2022

Adobe Experience Manager (AEM) is the industry-leading digital experience management solution for enterprises and midsize organizations. It provides a modern, scalable foundation to deliver compelling experiences that promote brand engagement, drive demand, and increase customer loyalty.

whitePaper | September 27, 2022

Businesses once doubted the long-term benefits of moving their traditional, on-premises workloads to the cloud. But those doubts didn’t last long. The ROI of cloud migration was realized quickly and decisively. Businesses eagerly shifted their workloads to the cloud and realized the financial benefits of doing so. However, in the rush to the cloud, clarity on security — and who is responsible for it — is often lost.