Decentralized Application Development Automation

whitePaper | September 27, 2022

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whitePaper | January 1, 2020

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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 | April 17, 2020

2020 will be a big year for the cloud in the life sciences industry. With the large number of companies across all areas including medical device, pharmaceutical, and biotech beginning to leverage the power of the cloud, coupled with the upcoming release of the FDA’s Computer Software Assurance (CSA) guidance, there has never been a better time to dive into the rapidly calming waters the cloud offers.

whitePaper | February 16, 2023

Cloud services have transformed the IT landscape and several cloud platforms have become mainstream alternatives to hosting IT infrastructure in traditional data centers. With numerous public cloud options available, many business technology deployment architectures have evolved to include multiple cloud services as part of an overall cloud strategy. This approach has resulted in a MultiCloud paradigm that introduces challenges around making IT services highly available and resilient.

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. Cloud adoption continues globally, with the migration of cloud from core to edge set to underpin many of the emerging 5G use cases. This migration will also help transform the communications service provider (CSP) networks themselves.