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EY announces winners of EY NextWave Global Data Science Challenge launched to connect STEM students worldwide

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EY today announces the launch of the initiative to connect Science, Technology, Engineering and Mathematics (STEM) students worldwide, with the winners of the first EY NextWave Global Data Science Challenge.

The Challenge provides STEM students with the opportunity to analyze real-world problems through data and develop initiatives that will help build a better working world. Top participants received an EY Badge, recognizing their knowledge and skills in data science. The EY Badges program supports EY people in shaping their own careers by earning credentials in skills that differentiate them in the market, such as data analytics or artificial intelligence (AI).

For this year’s Challenge, the students used real-world data from Skyhook, a pioneer in location technology, to help tackle the task of smart mobility in cities as the urban population rises across the globe. Future challenges will continue to mirror the EY focus on building a better working world for all people, clients and communities.

The EY NextWave Global Data Science Challenge attracted more than 4,500 students from nearly 500 universities. A judging panel comprised of EY leadership and data science professionals assessed in-person presentations of more than 50 of the top performing teams in the competition. The three global winners were chosen among those who combined the best results with in-depth insights and contributions to building a better working world. Of the 12,000 entries received, the 2019 EY NextWave Data Science Challenge winners are:

First placeSergio Banchero. Sergio is from Argentina, pursuing his Master’s degree in Data Science at the University of Western Australia in Perth. Sergio analyzed the data created by devices as they moved from the city center to the city border. He created models that could be used for real-time decision making, such as identifying issues in transportation networks; identifying blocked roads and the impact on city traffic; and identifying common travel patterns to extend and enhance the public transportation network.

Second placeKatherine Edgley and Philipp Barthelme. Katherine is from the US and is pursuing her Master’s degree in Computational Applied Mathematics at the University of Edinburgh; Philipp is from Germany and is pursuing his Master’s degree in Statistics with Data Science at the University of Edinburgh. Katherine and Philipp used recurrent neural networks – which use sequential formation to make predictions – to create models that could provide companies and people with optimal traffic routes and parking, for example.

Third place: Chia Yew Ken. Chia is from Singapore and is currently pursuing an Engineering Bachelor’s degree in Information Systems Technology and Design with a specialization in Artificial Intelligence at the Singapore University of Technology and Design. Chia used long-short-term-memory (LSTM), a special form of recurrent neural networks that can retain memory over long periods of time and are used to classify, process and make predictions. Chia developed models that could be used to identify over-crowded roads and intersections, reschedule traffic or schedule road work.

Future for the EY NextWave Data Science Challenge

Moving forward, EY teams are implementing an enhanced EY NextWave Data Science Challenge that deepens their relationship with students and will enable students to participate in potentially world-transforming initiatives and earn EY Badges.

The new program will publish challenges on an ongoing basis and students will achieve EY Badges by solving the issues and participating in innovative crowdsourcing initiatives. For example, an online marketplace and a discussion board will help students connect and create inclusive, global teams to tackle the challenges. University faculty can also create challenges to motivate students with real-world issues, either as an assignment or to propose competitions to the global community of students.

Beatriz Sanz Saiz, EY Global Advisory Data Analytics Leader, says:

“Our goal is to mobilize millions of students worldwide through this network, so that they contribute, together with EY teams, to build a better working world, with a sense of purpose, belonging and reciprocity as they develop their skills in data science. The EY NextWave Data Science Challenge connects students with academic leaders, industry professionals and real-world challenges to foster future career development. We are proud of today’s EY NextWave Data Science Challenge winners, who have demonstrated innovative approaches to creating smarter cities and improving mobility. We hope that their projects, and the new Challenge we’re announcing today, will inspire even more students to embark on STEM careers.”

Artificial Intelligence

Redefining Data Storage in the Data Awakening Era

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BERLIN, May 14, 2024 /PRNewswire/ — At the Huawei Innovative Data Infrastructure Forum 2024 in Berlin, Dr. Peter Zhou, Vice President of Huawei and President of Huawei Data Storage Product Line, presented Huawei’s latest thinking in his talk  “Redefining Data Storage in the Data Awakening Era.”

AI looks to disrupt traditional data storage, by not only focusing on performance, reliability, and data paradigm, but also on scalability, sustainability, and data fabric, Zhou said. In the data awakening era, he added, Huawei will redefine data storage through leading innovation in these six dimensions:
Ultra performance: Huawei enhances storage performance by a factor of 10, compared to traditional storage. The storage also supports bandwidth in PB/s and 100 million IOPS, which greatly improves the efficiency of the entire generative AI process.Data resilience: Innovative architecture and technologies boost high reliability of 99.9999%. The built-in ransomware detection engine raises the detection accuracy to 99.99%. Even the checkpoint recovery time during AI training is shortened to less than a minute.New data paradigm: The multi-dimensional tensor data is enabled to support fast data retrieval via an intelligent search engine. The retrieval-augmented generation (RAG) technology works with the embedded knowledge base to eliminate hallucination in large AI models.Scalability: A single storage cluster can be scaled out for EB-level capacity and each engine can be scaled up with more GPUs, DPUs, or NPUs for near-storage computing.Sustainability: Innovations in storage media and devices have brought about outstanding storage energy efficiency (less than 1 watt/TB) and storage density (greater than 1 PB/U).Data fabric: The capabilities of storage metadata management and search enable global data visibility and manageability, as well as data mobility that is 10 times more efficient.These six dimensions guide the philosophy behind the recent launch of the high-performance OceanStor A800, which is a powerful addition to Huawei OceanStor A series storage models. Tailored for AI applications, OceanStor A800 can increase AI cluster utilization by 30%, and as for performance, it delivers high bandwidth and IOPS, which are four and eight times better than its peer vendor’s. Regarding scalability, OceanStor A800 supports scaling out to EB-level capacity with up to 512 controllers, as well as scaling up to a maximum of 4,096 computing cards. As for conserving space and energy, it achieves an outstanding storage density of 1 PB/U and energy efficiency of 0.7 watt/TB. It also provides a new data paradigm with vector index, tensor data, and RAG. In terms of data resilience, the accuracy of ransomware detection is improved from 99.9% to 99.99%. In addition, the data fabric capability facilitates data asset management.
At the same time, storage media innovations are driving sustainable development. Huawei’s newly released high-capacity SSDs provide 10 times more capacity with the same disk size, which can further reduce energy consumption of a data center. With 128 TB capacity per disk, the new SSDs consume 88% less storage space and 92% less energy than the peer vendor’s SSDs when storing every one PB of data.
To be AI-ready, enterprises must get data-ready. The Omni-Dataverse global file system built in the DME makes enterprise data assets visible, manageable, and mobile across regions, thereby building a solid AI data lake storage foundation for enterprises.
Dr. Peter Zhou ended by emphasizing Huawei’s commitment to redefining data storage that focuses on customer challenges and demands in the data awakening era, and building leading AI-ready data infrastructure for greater customer value.
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UCloud partners with HGC to provide high-quality cloud services to enterprises and OTT in Southeast Asia

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HONG KONG, May 14, 2024 /PRNewswire/ — HGC Global Communications Limited (HGC), a fully-fledged ICT service provider and network operator with extensive global coverage and UCloud Technology Co., Ltd. (UCloud), a neutral cloud computing service provider, have announced the strategic partnership to jointly expand into the cloud market in Southeast Asia, starting in Thailand. This collaboration aims to provide enterprises and OTT with efficient, flexible, and reliable cloud services, enabling and accelerating their digital transformation.

This collaboration marks a promising beginning for HGC and UCloud to jointly develop the market in Southeast Asia. With UCloud’s comprehensive suite of cloud products and secure, stable technical solutions, HGC will swiftly establish an asset-light public cloud infrastructure and enhance its cloud service portfolio in EdgeX by HGC, a one-stop-shop solution that includes Global Connectivity, Data Center, Cybersecurity, Managed Services, and Cloud Connection. It will enable us to deliver exceptional, flexible, and customized cloud computing services along with comprehensive spectrum of Internet Services such as Eyeball-as-a-Service and AMS-IX backed by a robust Telecom infrastructure.
UCloud, as a leading cloud technology company, has been actively expanding its presence in international markets since 2013. Through years of dedicated efforts, UCloud has developed the capabilities of robust and reliable overseas infrastructure operation, gaining recognition from over 60,000 global users. With 30 years of experience as a network operator with extensive global coverage, HGC has profound insights and understanding of customer need in Southeast Asia. Moreover, HGC has rich local service experience in Thailand, playing a crucial role in accelerating the rapid deployment of UCloud’s advanced cloud technology solutions in the region. By combining UCloud’s technology prowess with HGC’s local market expertise, the partnership is uniquely positioned to deliver tailored and effective integrated cloud solutions. 
Steven Xu Tan, CEO, Oversea Business of UCloud said: “This collaboration represents a significant milestone in the integration of cloud computing and telecommunications ecosystems. It also marks the beginning of a comprehensive collaboration between UCloud and HGC’s overseas team to effectively serve global customers. As one of the leading cloud service providers in China expanding globally, UCloud has achieved extensive overseas infrastructure coverage by establishing availability zones in Southeast Asian countries such as Thailand, Singapore, Indonesia, Vietnam, and the Philippines. HGC has extensive global network infrastructure and expertise in digital services, enabling the delivery of customized solutions for customers across industries. We firmly believe that UCloud and HGC can work together to drive the adoption of cloud computing in Thailand and other regions.”
Cliff Tam, Senior Vice President, Global Data Strategy & Operations, International Business of HGC said: “We are delighted to embark on this strategic collaboration with UCloud, leveraging their cutting-edge cloud infrastructure and service capabilities to swiftly establish EdgeX with HGC cloud service portfolio in overseas markets. With decades of expertise under our belt, we are committed to delivering excellence to Internet community and OTT customers, catering to their diverse requirements on the digital transformation of the region’s agile environment. Building upon our collaboration in Thailand, we are confident that we will replicate this advanced experience and achieve greater breakthroughs across various industries and in other overseas regions.
About HGC Global Communications Limited
HGC Global Communications Limited (HGC) is a leading Hong Kong and international telecom operator and ICT solution provider. The company owns an extensive network and infrastructure in Hong Kong and overseas and provides various kinds of services. HGC has 19 overseas offices and staff presence in 31 cities worldwide. It provides telecom infrastructure service to other operators and serves as a service provider to corporate and households. The company provides full-fledged telecom, data centre services, ICT solutions and broadband services for local, overseas, corporate, SME and mass markets. HGC owns and operates an extensive fibre-optic network, five cross-border telecom routes integrated into tier-one telecom operators in mainland China and connects with hundreds of world-class international telecom operators. The company is committed to further investing and enriching its current infrastructure and, in parallel, adding on top the latest technologies and developing its infrastructure services and solutions. In 2019, HGC Group completed the acquisition of Macroview Telecom Limited (Macroview), a leading digital technology solution and managed services provider. The addition of Macroview further accelerates HGC Group’s digital transformation path and positioning as a pioneering ICT and digital services leader. HGC is a portfolio company of I Squared Capital, an independent global infrastructure investment manager focusing on energy, utilities, transport, social infrastructure, digital infrastructure, and environmental infrastructure in North America, Europe, Latin America and Asia.
To learn more, please visit HGC’s website at: www.hgc.com.hk
About UCloud
Established in 2012, Shanghai-based UCloud (UCloud Technology Co., Ltd.) is a neutral and secure computing service platform. Continuously achieving breakthroughs in key and core technologies, UCloud offers a comprehensive range of cloud products, including public, private, hybrid, and edge cloud solutions. The company has independently developed IaaS, PaaS, and the SafeHouse big data exchange platform, along with various AI terminals and service platforms. UCloud operates 31 cloud available zones globally, spanning 24 countries and regions such as China, Southeast Asia, Europe, North America, South America, and Africa. These data centers form the foundation of UCloud’s digital information infrastructure, characterized by its seamless integration of cloud and network, security and stability, intelligent agility, and environmental sustainability.
UCloud adheres to the customer-first service principle, offering a wide array of products and application scenario solutions related to cloud computing, big data, and AI technology. Catering to users in diverse sectors such as industrial internet, education, healthcare, retail and finance etc., UCloud aims to accelerate digital transformation and innovation, enhance total factor productivity, and advance industry digitalization and digital industrialization.

View original content:https://www.prnewswire.co.uk/news-releases/ucloud-partners-with-hgc-to-provide-high-quality-cloud-services-to-enterprises-and-ott-in-southeast-asia-302144606.html

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Quobyte Introduces High-Performance File Query Engine for Large-Scale Storage Clusters and AI Workloads

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Quobyte’s File Query Engine Redefines Large-Scale Storage Management with High-Performance Metadata Queries
SANTA CLARA, Calif., May 14, 2024 /PRNewswire/ — Quobyte, the innovator in high-performance storage solutions, has unveiled its new distributed File Query Engine at ISC High Performance 2024, enhancing its storage platform for enterprises and researchers. This engine allows users to query file system metadata at exceptional speeds, making it ideal for environments with massive data sets.

The File Query Engine offers a range of capabilities, including the ability to query user-defined metadata for AI/ML training, enabling users to label files with data directly instead of managing small “metadata files.” Additionally, administrators can quickly answer questions such as identifying space-consuming cold files or locating files owned by specific users. The File Query Engine replaces slow file system tree walks (“find”), offering a faster and more efficient alternative for large volumes.
Key to the File Query Engine’s performance is its integration with Quobyte’s distributed and replicated key-value store, which stores metadata. Unlike other products, Quobyte’s File Query Engine does not require an additional database layer, resulting in faster queries and significant resource savings. Queries are executed in parallel across all metadata servers for fast scans across the entire cluster or select volumes. This engine never operates on outdated data.
“The File Query Engine is a game-changer for our customers,” said Bjorn Kolbeck, CEO of Quobyte. “It streamlines the process of querying file system metadata, offering fast and efficient results even for large datasets, AI, and machine-learning workloads.”
The File Query Engine is part of Quobyte release 3.22 and is automatically available without any configuration. Users can run file metadata queries using the command-line tool “qmgmt,” which supports output in CSV or JSON formats. Additionally, queries can be initiated via the Quobyte API, providing flexibility and ease of use.
For more information about Quobyte’s File Query Engine and its storage solutions, visit www.quobyte.com.
About Quobyte:Quobyte provides a unified storage platform engineered for simplicity and high performance, suitable for enterprises and researchers pushing the frontiers of innovation. It ensures exceptional reliability and enterprise-level features, enabling rapid deployment and streamlined operations for organizations of various sizes, making HPC accessible for all. Quobyte empowers small teams to run large-scale infrastructures, advancing today’s most groundbreaking research.
Follow Quobyte:https://www.twitter.com/quobytehttps://www.linkedin.com/company/quobyte
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View original content:https://www.prnewswire.co.uk/news-releases/quobyte-introduces-high-performance-file-query-engine-for-large-scale-storage-clusters-and-ai-workloads-302144567.html

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