RingCentral, Inc., a leading provider of global enterprise cloud communications, collaboration, and contact center solutions, announced that its unified communications platform including team messaging, video meetings, and cloud phone system will now be available in Germany with a new data center in Frankfurt, and a new office in Hamburg, Germany. As RingCentral continues its global expansion efforts, Germany remains a key strategic location for the company. The new data center will also give users access to local phone numbers and emergency services in compliance with local laws and regulations. RingCentral will offer customers local data storage, the ability to register endpoints in-country and keep voice and video call media local. The new datacenter will also give users access to local phone numbers and emergency services in compliance with local laws and regulations.
It was clear to the University of New South Wales (UNSW) that at the end of 2018, when it was developing its data strategy, it needed to improve the turnaround time it took to get information into the hands of decision makers. But to do that, the university had to set up a cloud-based data warehouse, which it opted to host in Microsoft Azure. The cloud-based warehouse now operates alongside the university's legacy data warehouse, which is currently hosted in Amazon Web Service's (AWS) EC2. "Our legacy data warehouse has been around for 10 to 15 years. But we started looking at what platforms can let us do everything that we do now, but also allows us to move seamlessly into new things like machine learning and AI," UNSW chief data and insights officer and senior lecture at the School of Computer Science and Engineering, Kate Carruthers said, speaking to ZDNet.
Alibaba Cloud has added three hyperscale data centres in China and plans to build more over the next few years. The move is part of the Chinese tech giant's $28 billion investment to modernise its cloud infrastructure and support customers' digital transformation needs. Located in Hangzhou, the Jiangsu Province's Nantong, and Inner Mongolia's Ulangab, the three new sites run on Alibaba's own technologies including its Apsara Distributed OS, Hanguang 800 AI chip, and X-dragon architecture. The launch was part of its previous announcement to park another $28 billion over three years to build out its cloud infrastructure, the company said in a statement Tuesday. While coy over how the Huawei-US debacle may impact other Chinese technology vendors, Alibaba Cloud executives play up their "in Asia, for Asia" focus and investment in the region as a key competitive advantage over its US competitors, including AWS, Microsoft, and Google.
Now that data is the most transformative asset in business, it's essential to prepare for what lies ahead, and to adjust strategies accordingly in order to successfully face the business landscape of tomorrow. We have identified 10 trends happening in 2020 that will be catalysts and enablers for change, and they will drive companies to enhance capabilities to stay at the forefront of innovation. They will allow data to be consumed dynamically and in different ways, causing people to search and think of new ways to use data. Given Trends These trends are a must, and they require action now. It's apparent that legacy on-premises platforms have failed to make data accessible to all users.
Are you looking for the Best Pluralsight Courses 2020? This Pluralsight Specialization list contains the Best Courses from Pluralsight Tutorials, Classes, and Certifications. Today's world needs people who are technologically advanced. Pluralsight gives you the opportunity to be skillful through the Pluralsight Specialization Courses. You can also get Free Pluralsight Online Courses. By enrolling Pluralsight Specialization courses everyone can have the opportunity to create progress through technology and develop the skills of tomorrow. With assessment, learning paths and courses authorized by industry experts, this platform helps businesses and individuals benchmark expertise across roles, speed up release cycles and build reliable, secure products. Get lifetime accesses to the entire content including quizzes and assignments as the technology upgrades your content gets updated at no cost? Choose from a number of batches as per your convenience if you got something urgent to do, ...
Specialized replicated compute accelerators (RCA) are multiplied up by having multiple copies per ASICs, multiple ASICs per server, multiple servers per rack, and multiple racks per datacenter. Server controller can be an FPGA, microcontroller, or a Xeon processor. Power delivery and cooling system are customized based on ASIC needs. If required, there would be DRAMs on the PCB as well. Each ASIC interconnects its RCAs using a customized on-chip network.
In reviewing this year's batch of announcements for MongoDB's online user conference, there's a lot that fills the blanks opened last year as reported by Stephanie Condon. But the sleeper is unifying a platform that has expanded over the past few years with mobile and edge processing capabilities, not to mention a search engine, and the reality that Atlas, its cloud database-as-a-service (DBaaS) service, is now comprising the majority of new installs. Last year, MongoDB announced previews of Atlas Data Lake, the service of MongoDB's cloud service that lets you target data stored in Amazon S3 cloud storage; full text search, plans to integrate the then recently-acquired mobile Realm database platform with the Stretch serverless development environment; and autoscaling of MongoDB's Atlas cloud service. This year, all those previews announced last year are now going GA. Rounding it out is the announcement of the next release of MongoDB, version 4.4, that includes some modest enhancements with querying and sharding. The cloud is clearly MongoDB's future.
Edge intelligence refers to a set of connected systems and devices for data collection, caching, processing, and analysis in locations close to where data is captured based on artificial intelligence. The aim of edge intelligence is to enhance the quality and speed of data processing and protect the privacy and security of the data. Although recently emerged, spanning the period from 2011 to now, this field of research has shown explosive growth over the past five years. In this paper, we present a thorough and comprehensive survey on the literature surrounding edge intelligence. We first identify four fundamental components of edge intelligence, namely edge caching, edge training, edge inference, and edge offloading, based on theoretical and practical results pertaining to proposed and deployed systems. We then aim for a systematic classification of the state of the solutions by examining research results and observations for each of the four components and present a taxonomy that includes practical problems, adopted techniques, and application goals. For each category, we elaborate, compare and analyse the literature from the perspectives of adopted techniques, objectives, performance, advantages and drawbacks, etc. This survey article provides a comprehensive introduction to edge intelligence and its application areas. In addition, we summarise the development of the emerging research field and the current state-of-the-art and discuss the important open issues and possible theoretical and technical solutions.
Data scientists, machine learning developers and data engineers are turning decisively to the Python programming language, according to a new study. An annual usage analysis released this week by O'Reilly Media also found a decided shift towards cloud native design for software, IT infrastructure and DevOps. The study tracked the most popular search terms on O'Reilly's platform in 2019. The fastest growing search terms were "coding practices," which jumped nearly 40 percent year-on-year. Another hot topic as data and applications shift to the cloud was security.