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Designing Enterprise-level Networks
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Killexams : Huawei Enterprise-level learn - BingNews https://killexams.com/pass4sure/exam-detail/GB0-363 Search results Killexams : Huawei Enterprise-level learn - BingNews https://killexams.com/pass4sure/exam-detail/GB0-363 https://killexams.com/exam_list/Huawei Killexams : PH Huawei Ads Summit: Introducing new marketing resource to leverage on

The first-ever Philippine HUAWEI Ads Summit held in Manila was an afternoon of influential discussions on digital marketing by industry leaders such as AdSpark Inc., Dentsu Philippines, and Wavemaker Philippines. The afternoon session introduced capabilities within the HUAWEI ecosystem and its new self-serve ads platform – HUAWEI Ads – as well as insightful case studies and panel discussions led by digital industry leaders.

In his welcoming speech, Mr. Tan Donghui, the Vice President and Chief Strategy and Business Development Officer at Huawei Consumer Cloud Business, affirmed HUAWEI’s commitment to empower its partners’ growth through its all-scenario mobile offerings. With HUAWEI Ads, the tech-powerhouse promises to continue broadening its capabilities and provide solutions that would unlock growth opportunities in digital marketing.

Left to right, Jazper Tiongson, Event Host; Skyson Tey, Head of Huawei APAC Business Development; Malcolm Wong, Vice President of Product Strategy & Product Management, Huawei APAC Region; Rei Xiao, Director of Huawei APAC Device Ecosystem Development & Operations; Mr.Tan Donghui, Vice President and Chief Strategy and Business Development Officer at Huawei Consumer Cloud Business; Peter Peng, Country Head of Huawei Philippines Consumer Business; Ken Liang, Director of Huawei Philippines Device Ecosystem Development & Operations; Karen Tseng, Head of Global Business Development, Huawei.

Panel discussion by industry leaders empower digital marketers to thrive in a data-led world

“One of the event’s highlights was the panel discussion involving experienced advertising and

tech leaders sharing their insights on Topics such as Data-led Marketing in 2022How First-Party Data could be leveraged, and the Pros & Cons of a walled garden ecosystem. The panel included Malcolm Wong, Vice President of Product Strategy & Product Management, Huawei APAC Region, Karen Tseng, Head of Global Business Development, Huawei, Gretchen Largoza, President & CEO of Adspark Inc, James Dalusong, Head of Programmatic at Dentsu Philippines, and Sherry Magno, Deputy Head of Precision at Wavemaker Philippines.

Enter HUAWEI Ads — The leverage for advertisers within Huawei’s Mobile User Ecosystem

In the summit, the company showcased the capabilities of HUAWEI Ads on how it could help advertising partners achieve specific business goals. In the age of digital transformation, mobile ads have become the new vital touchpoint between competitive brands and their target audiences, making HUAWEI Ads an effective marketing resource that boasts 730 million global users within the world’s third largest mobile ecosystem.

The HUAWEI Ads 1+8+N Strategy

HUAWEI Ads’ effectiveness is made possible with HUAWEI’s all-scenario “1+8+N” strategy. Simply put, this strategy forms an all-scenario hardware ecosystem with three layers: ‘1’ stands for the smartphone as the center of it all; ‘8’ stands for the 8 categories of Huawei-developed products such as speakers, tablets, PCs, and watches as auxiliary entrances; ‘n’ stands for the abundant IoT ecosystem devices; ‘+’ sign stands for what connects these layers such as HUAWEI Share and HUAWEI HiLink. The all-connected ecosystem sets the building blocks for the upcoming connected future that Huawei has heavily contributed to with its 1+8+n ecosystem concept and Seamless AI Life Strategy, bringing more smart devices to homes and offices. Together, they provide the fundamental advantage for more cohesive data, precise reach, and intelligent ad distribution across devices and apps.

Chums Live provided excellent case studies on how Huawei Ads helped improved their ad campaig

Existing partners were also instrumental in providing successful case studies using HUAWEI Ads to reach their business objectives. Randy Tejada, Country Director for Intertext and Chat Comms Inc provided an insightful take as well on how the service helped them increase revenue by 73% by targeting the most valuable users possible, with a 4% contribution to overall revenue that makes HUAWEI Ads their best marketing collaborator of 2021.

To build on the event’s success, HUAWEI Ads will continue to collaborate with advertisers who are in need of efficient solutions that leverages on first-party data and for those who would want to tap into new audiences within HUAWEI’s ecosystem. Overall, the event introduced HUAWEI Ads as a strategic and cost-efficient resource that digital marketers could utilize in order to reach new audiences at the right moment with the proper advertisement.

HUAWEI Ads has organized a series of Ad Summits within Asia, in collaboration with industry leaders from Singapore, Thailand, and Hong Kong. The next station for HUAWEI Ads will be held in Malaysia.

Advertisers who wish to gain first-hand insights and knowledge, or would like to learn more about HUAWEI Ads services can register their interests at HuaweiAdsAPAC@huawei.com.

For more information about HUAWEI Ads, please visit: https://ads.huawei.com/.

To stay updated on the latest promos and devices, visit Huawei Philippines’ official pages on FacebookTwitter, and Instagram!

Sun, 31 Jul 2022 18:21:00 -0500 en-US text/html https://manilastandard.net/tech/314248294/ph-huawei-ads-summit-introducing-new-marketing-resource-to-leverage-on.html
Killexams : Huawei's David Wang: Innovation, Lighting up the 5.5G Era Huawei's David Wang: Innovation, Lighting up the 5.5G Era

PR Newswire

SHENZHEN, China, July 18, 2022

SHENZHEN, China, July 18, 2022 /PRNewswire/ -- At the Win-Win·Huawei Innovation Week, David Wang, Executive Director of the Board and Chairman of the ICT Infrastructure Managing Board of Huawei, delivered a keynote speech titled "Innovation, Lighting up the 5.5G Era". In his speech, Wang spoke about the next evolution of 5G technology, which the company has termed, 5.5G, and the industry's innovation roadmap for the next five to ten years.

David Wang, Executive Director of the Board and Chairman of the ICT Infrastructure Managing Board of Huawei, delivering a keynote speech

David Wang, Executive Director of the Board and Chairman of the ICT Infrastructure Managing Board of Huawei, delivering a keynote speech

"Looking ahead to 2025, the sheer diversity and magnitude of network service requirements will create huge new market potential," said Wang. "We're here to discuss these opportunities with operators and industry partners, and explore the innovations we need to help pave the way for 5.5G."

Huawei proposed 5.5G for the first time at the 11th Global Mobile Broadband Forum in 2020, and F5.5G (or fixed 5.5G) at the Global Analyst Summit this April. Since then, the industry has been simmering with new ideas and best practices.

A wealth of new requirements will raise the bar for next-generation ICT infrastructure

According to Wang, new developments in digital technology need to support a truly real-time, engaging, and more immersive experience in the digital world, and gradually make a 10 Gbps network experience available everywhere on the planet.

On the industrial front, digitalization has already entered the fast lane. AI will be fully integrated into enterprise production processes, and the size of the 5.5G IoT market will grow rapidly. Collaboration between robots and people in complex scenarios will impose greater requirements on next-generation industrial field networks.

Currently, bottlenecks in computing, such as memory walls, unbalanced utilization of data center resources, and low energy efficiency, are hindering the rise of new computing demand. To address these challenges, the industry needs to innovate at the architecture and system levels to boost computing supply.

Six features of 5.5G – New value for digital life and development

The first is a 10 Gbps user experience. 5.5G will deliver a 10 Gbps experience through MIMO technology that boasts larger bandwidth, higher spectrum efficiency, and higher-order modulation. With next-generation technologies like FTTR, Wi-Fi 7, 50G PON, and 800G, F5.5G will bring a 10 Gbps experience everywhere.

At the event, Wang proposed Net5.5G for the first time, defining the evolution of IP networks to meet the rising demand for computing power by intelligent applications. "As digitalization takes hold, intelligent applications will see large-scale commercialization and computing resources will be located across multiple clouds," said Wang. "Enterprises need to make use of computing power from multiple clouds at lower costs, with greater agility and flexibility. To this end, we need to keep innovating based on IPv6 to help the industry thrive. This is why we proposed Net5.5G."

Second, the business scope will go beyond connectivity. 5.5G will go beyond connectivity to include sensing, which will result in a wealth of new scenarios and applications. Wireless sensing and fiber sensing technologies will be used in vehicle-road collaboration and environment monitoring. Passive IoT will integrate cellular and passive tag technologies to create 100 billion potential connections. 5.5G core networks will redefine architectures and foundational technologies to enable new service scenarios, such as industry private networks, industrial field networks, and new calling.

Third, diversified computing will enable diversified applications. In the 5.5G era, computing architectures will be redefined to increase computing efficiency by 10-fold through chip engineering and full peer-to-peer interconnection architectures.

Fourth, data-centric storage will break through existing limits in storage architecture. Future storage will Improve storage performance by 10-fold through data-centric hardware and software architecture and diversified data application acceleration engines.

Fifth, full-stack AI native will make L4 highly autonomous driving networks (ADNs) a reality. ADNs have become a common goal of the industry. Full-stack AI native, from network elements to networks and services, will accelerate breakthroughs in ADN technology. The results of new innovation, such as compression algorithms for hundreds of network indicators and unknown fault identification by AI foundation models, will be widely applied in the 5.5G era.

Lastly, developments in green technology and system-level innovation will increase energy efficiency. The ITU-T has adopted Network Carbon data/energy intensity (NCIe) as the unified energy efficiency metric to guide the industry's green development roadmap. Huawei has developed innovative solutions for green sites, green networks, and green operations to increase network capacity and cut energy consumption per bit. These solutions will empower operators in the 5.5G era.

"As we move towards the 5.5G era, all industry players need to work together to bring standards to maturity and cultivate a thriving industry," said Wang. He proposed three recommendations to conclude his speech.

  • The industry needs to work closely together to define the vision and roadmap for 5.5G.
  • The industry should define technology standards within the standards frameworks set by 3GPP, ETSI, and ITU.
  • All industry players should work together to promote a thriving industry ecosystem by incubating more use cases and accelerating digital, intelligent transformation.

The Win-Win·Huawei Innovation Week is held from July 18 to July 21 in Shenzhen, China. Together with global operators, industry professionals, and opinion leaders, we dive into Topics such as 5.5G, green development, and digital transformation to envision shared success in the digital economy. For more information, please visit: https://carrier.huawei.com/en/events/winwin-innovation-week.

 

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SOURCE Huawei

Mon, 18 Jul 2022 03:27:00 -0500 en text/html https://www.morningstar.com/news/pr-newswire/20220718cn19751/huaweis-david-wang-innovation-lighting-up-the-55g-era
Killexams : 2022 Huawei Developer Competition opens with a call to developers worldwide who want to innovate

2022 Huawei Developer Competition now underway with a prize pool of 2.2 million yuan

The competition invites global developers to overcome five major world-level challenges

With a total prize pool of 2.2 million yuan the 2022 Huawei Developer Competition·Spark Infinity is now open for registration

SINGAPORE, July 14, 2022 /PRNewswire/ -- At the latest Huawei Partner and Developer Conference, the 2022 edition of Huawei Developer Competition opened for registration. Themed "Spark Infinity", the event comes with a Cloud Foundation Track and is open to six regions around the globe: China, Asia Pacific, Latin America, the Middle East, Africa (both Sub-Saharan & North Africa), and Europe. Developers from all over the world are invited to challenge cutting-edge propositions in the field of ICT with a total prize pool of 2.2 million yuan.

Huawei Developer Competition 2022 - take the challenge and apply now

Arthur C. Clarke, author of 2001: A Space Odyssey, once said, "Any sufficiently advanced technology is indistinguishable from magic." The developers who go all the way are the ones who create magic with codes. As the top ICT event in Huawei's ICT group, the Huawei Developer Competition aims to provide full access to technical achievements in various industrial fields to developers, encouraging them to deliver full play to their imagination and innovative spirit to develop ICT technologies that address problems in the real world and create unlimited value, while leading the digital future and building a smart world together with Huawei.

The competition invites professionals in many fields, including authoritative technology experts, scholars from universities, senior management of investment institutions, influential tech media and Huawei's key technical leaders, to join the panel of experts and provide the most professional and forward-looking guidance to global participants. Huawei's mentor group will also host a series of lectures and roadshows featuring discussions on AI, IoT, PaaS, database, media and other Topics during which they will share their technical know-how and practical experience, as a way of providing technical support for the participating teams and individuals.

Focusing on cutting-edge technologies and popular business scenarios

The Cloud Foundation Track includes four key events: Cloud Application Innovation, World Challenges, Code for Outer Space, and Autonomous Vehicles, of which, the first two will be available outside China.

Cloud Application Innovation: Huawei Cloud provides 40+ industry-leading capabilities covering all aspects of AI, IoT, PaaS, media and database. Participants are required to use at least one of these technologies to build innovative solutions or solve real problems, with no limitation on scenarios and encouraging free creation.

World Challenges: Huawei has selected problems involving five major areas on the cloud: computing, database, media, network and storage. Participants need to solve the problems based on references and technical concerns.

Code for Outer Space: Based on tons of satellite data, satellite computing equipment specifications, and satellite sensor equipment provided by the organizers of the competition, contestants need to complete the development of applications which have a use in connection with satellites, with no limitation on subject. The winning project will be deployed to multiple satellites in the Tiansuan Constellation program through the Cloud Native Satellite Computing Platform, which was co-designed by Huawei Cloud and Beijing University of Posts and Telecommunications (BUPT), as a part of the Sea of Stars.

Autonomous Vehicles: With the subject being Traffic Signal Example Segmentation, the challenge will put more focus on traffic light signal recognition, lane line detection, crosswalk detection, speed limit sign recognition, construction sign recognition and obstacle detection. The algorithms for traffic light signals, crosswalk and speed limit sign detection must be developed based on the AI development platform ModelArts.

The 2 million yuan prize pool, plus other incentives, is waiting for developers to join the challenge

The contest is divided into the following stages: Registration and Submission, Preliminary, Semi-finals, and Finals. The call for entries started on June 15 and will continue through September 2022. The submissions will be evaluated by the expert panel in terms of technical architecture, functional completeness, innovation, business prospects and other aspects, and the list of winners will be announced. The organizer provides a total prize pool of 2.2 million yuan for the Cloud Foundation Track.

In addition to the generous prize money, this year's competition also comes with strong policy support for developers. The organizing committee has made available Huawei's capabilities in AI, PaaS, IoT, media, database and other fields. Each participating team will be provided with an unlimited number of Huawei Cloud resource vouchers, which can deliver them access to learning resources and Huawei Cloud developer certifications, while helping them efficiently develop innovative applications.

Moreover, outstanding participants have a chance to develop a commercial success through Huawei Cloud platforms, such as through the cloud store KooGallery, a vehicle that helps developers increase their product visibility, monetization and profitability, and the Startup Program, which aims to identify high-quality startups and provide them with training and business coaching, deep multi-faceted cooperation, and full life-cycle incubation. In addition, participants using Huawei Cloud platforms to develop applications can enjoy a series of support policies, receive a significant number of test vouchers and peer-to-peer expert mentoring, as well as the fulfillment of cloud deployments.

For more than 30 years, Huawei has been committed to technological innovation, making new breakthroughs and using technology to propel the world forward. As the cloud base of the intelligent world, Huawei Cloud provides a huge opportunity for developers to realize their vision of making everything as a service and creating new value together.

If you are a developer who is ambitious with a passion for innovation, a developer taking a stand for truth in the face of complex problems, a developer engaged in dedicated work in real scenarios, and a developer having the courage to reach new heights, welcome to the challenge.

For more information about the competition, please visit the official website: https://competition.huaweicloud.com/intl/en-us/developer2022.html

Prizes

SOURCE Huawei

Fri, 15 Jul 2022 03:41:00 -0500 en-US text/html https://finance.yahoo.com/news/2022-huawei-developer-competition-opens-013700105.html
Killexams : IBM Research Rolls Out A Comprehensive AI And Platform-Based Edge Research Strategy Anchored By Enterprise Partnerships & Use Cases

I recently met with Dr. Nick Fuller, Vice President, Distributed Cloud, at IBM Research for a discussion about IBM’s long-range plans and strategy for artificial intelligence and machine learning at the edge.

Dr. Fuller is responsible for providing AI and platform–based innovation for enterprise digital transformation spanning edge computing and distributed cloud management. He is an IBM Master Inventor with over 75 patents and co-author of 75 technical publications. Dr. Fuller obtained his Bachelor of Science in Physics and Math from Morehouse College and his PhD in Applied Physics from Columbia University.

Edge In, not Cloud Out

In general, Dr. Fuller told me that IBM is focused on developing an "edge in" position versus a "cloud out" position with data, AI, and Kubernetes-based platform technologies to scale hub and spoke deployments of edge applications.

A hub plays the role of a central control plane used for orchestrating the deployment and management of edge applications in a number of connected spoke locations such as a factory floor or a retail branch, where data is generated or locally aggregated for processing.

“Cloud out” refers to the paradigm where cloud service providers are extending their cloud architecture out to edge locations. In contrast, “edge in” refers to a provider-agnostic architecture that is cloud-independent and treats the data-plane as a first-class citizen.

IBM's overall architectural principle is scalability, repeatability, and full stack solution management that allows everything to be managed using a single unified control plane.

IBM’s Red Hat platform and infrastructure strategy anchors the application stack with a unified, scalable, and managed OpenShift-based control plane equipped with a high-performance storage appliance and self-healing system capabilities (inclusive of semi-autonomous operations).

IBM’s strategy also includes several in-progress platform-level technologies for scalable data, AI/ML runtimes, accelerator libraries for Day-2 AI operations, and scalability for the enterprise.

It is an important to mention that IBM is designing its edge platforms with labor cost and technical workforce in mind. Data scientists with PhDs are in high demand, making them difficult to find and expensive to hire once you find them. IBM is designing its edge system capabilities and processes so that domain experts rather than PhDs can deploy new AI models and manage Day-2 operations.

Why edge is important

Advances in computing and storage have made it possible for AI to process mountains of accumulated data to provide solutions. By bringing AI closer to the source of data, edge computing is faster and more efficient than cloud. While Cloud data accounts for 60% of the world’s data today, vast amounts of new data is being created at the edge, including industrial applications, traffic cameras, and order management systems, all of which can be processed at the edge in a fast and timely manner.

Public cloud and edge computing differ in capacity, technology, and management. An advantage of edge is that data is processed and analyzed at / near its collection point at the edge. In the case of cloud, data must be transferred from a local device and into the cloud for analytics and then transferred back to the edge again. Moving data through the network consumes capacity and adds latency to the process. It’s easy to see why executing a transaction at the edge reduces latency and eliminates unnecessary load on the network.

Increased privacy is another benefit of processing data at the edge. Analyzing data where it originates limits the risk of a security breach. Most of the communications between the edge and the cloud is then confined to such things as reporting, data summaries, and AI models, without ever exposing the raw data.

IBM at the Edge

In our discussion, Dr. Fuller provided a few examples to illustrate how IBM plans to provide new and seamless edge solutions for existing enterprise problems.

Example #1 – McDonald’s drive-thru

Dr. Fuller’s first example centered around Quick Service Restaurant’s (QSR) problem of drive-thru order taking. Last year, IBM acquired an automated order-taking system from McDonald's. As part of the acquisition, IBM and McDonald's established a partnership to perfect voice ordering methods using AI. Drive-thru orders are a significant percentage of total QSR orders for McDonald's and other QSR chains.

McDonald's and other QSR restaurants would like every order to be processed as quickly and accurately as possible. For that reason, McDonald's conducted trials at ten Chicago restaurants using an edge-based AI ordering system with NLP (Natural Language Processing) to convert spoken orders into a digital format. It was found that AI had the potential to reduce ordering errors and processing time significantly. Since McDonald's sells almost 7 million hamburgers daily, shaving a minute or two off each order represents a significant opportunity to address labor shortages and increase customer satisfaction.

Example #2 – Boston Dynamics and Spot the agile mobile robot

According to an earlier IBM survey, many manufacturers have already implemented AI-driven robotics with autonomous decision-making capability. The study also indicated that over 80 percent of companies believe AI can help Improve future business operations. However, some companies expressed concern about the limited mobility of edge devices and sensors.

To develop a mobile edge solution, IBM teamed up with Boston Dynamics. The partnership created an agile mobile robot using IBM Research and IBM Sustainability Software AI technology. The device can analyze visual sensor readings in hazardous and challenging industrial environments such as manufacturing plants, warehouses, electrical grids, waste treatment plants and other hazardous environments. The value proposition that Boston Dynamics brought to the partnership was Spot the agile mobile robot, a walking, sensing, and actuation platform. Like all edge applications, the robot’s wireless mobility uses self-contained AI/ML that doesn’t require access to cloud data. It uses cameras to read analog devices, visually monitor fire extinguishers, and conduct a visual inspection of human workers to determine if required safety equipment is being worn.

IBM was able to show up to a 10X speedup by automating some manual tasks, such as converting the detection of a problem into an immediate work order in IBM Maximo to correct it. A fast automated response was not only more efficient, but it also improved the safety posture and risk management for these facilities. Similarly, some factories need to thermally monitor equipment to identify any unexpected hot spots that may show up over time, indicative of a potential failure.

IBM is working with National Grid, an energy company, to develop a mobile solution using Spot, the agile mobile robot, for image analysis of transformers and thermal connectors. As shown in the above graphic, Spot also monitored connectors on both flat surfaces and 3D surfaces. IBM was able to show that Spot could detect excessive heat build-up in small connectors, potentially avoiding unsafe conditions or costly outages. This AI/ML edge application can produce faster response times when an issue is detected, which is why IBM believes significant gains are possible by automating the entire process.

IBM market opportunities

Drive-thru orders and mobile robots are just a few examples of the millions of potential AI applications that exist at the edge and are driven by several billion connected devices.

Edge computing is an essential part of enterprise digital transformation. Enterprises seek ways to demonstrate the feasibility of solving business problems using AI/ML and analytics at the edge. However, once a proof of concept has been successfully demonstrated, it is a common problem for a company to struggle with scalability, data governance, and full-stack solution management.

Challenges with scaling

“Determining entry points for AI at the edge is not the difficult part,” Dr. Fuller said. “Scale is the real issue.”

Scaling edge models is complicated because there are so many edge locations with large amounts of diverse content and a high device density. Because large amounts of data are required for training, data gravity is a potential problem. Further, in many scenarios, vast amounts of data are generated quickly, leading to potential data storage and orchestration challenges. AI Models are also rarely "finished." Monitoring and retraining of models are necessary to keep up with changes the environment.

Through IBM Research, IBM is addressing the many challenges of building an all-encompassing edge architecture and horizontally scalable data and AI technologies. IBM has a wealth of edge capabilities and an architecture to create the appropriate platform for each application.

IBM AI entry points at the edge

IBM sees Edge Computing as a $200 billion market by 2025. Dr. Fuller and his organization have identified four key market entry points for developing and expanding IBM’s edge compute strategy. In order of size, IBM believes its priority edge markets to be intelligent factories (Industry 4.0), telcos, retail automation, and connected vehicles.

IBM and its Red Hat portfolio already have an established presence in each market segment, particularly in intelligent operations and telco. Red Hat is also active in the connected vehicles space.

Industry 4.0

There have been three prior industrial revolutions, beginning in the 1700s up to our current in-progress fourth revolution, Industry 4.0, that promotes a digital transformation.

Manufacturing is the fastest growing and the largest of IBM’s four entry markets. In this segment, AI at the edge can Improve quality control, production optimization, asset management, and supply chain logistics. IBM believes there are opportunities to achieve a 4x speed up in implementing edge-based AI solutions for manufacturing operations.

For its Industry 4.0 use case development, IBM, through product, development, research and consulting teams, is working with a major automotive OEM. The partnership has established the following joint objectives:

  • Increase automation and scalability across dozens of plants using 100s of AI / ML models. This client has already seen value in applying AI/ML models for manufacturing applications. IBM Research is helping with re-training models and implementing new ones in an edge environment to help scale even more efficiently. Edge offers faster inference and low latency, allowing AI to be deployed in a wider variety of manufacturing operations requiring instant solutions.
  • Dramatically reduce the time required to onboard new models. This will allow training and inference to be done faster and allow large models to be deployed much more quickly. The quicker an AI model can be deployed in production; the quicker the time-to-value and the return-on-investment (ROI).
  • Accelerate deployment of new inspections by reducing the labeling effort and iterations needed to produce a production-ready model via data summarization. Selecting small data sets for annotation means manually examining thousands of images, this is a time-consuming process that will result in - labeling of redundant data. Using ML-based automation for data summarization will accelerate the process and produce better model performance.
  • Enable Day-2 AI operations to help with data lifecycle automation and governance, model creation, reduce production errors, and provide detection of out-of-distribution data to help determine if a model’s inference is accurate. IBM believes this will allow models to be created faster without data scientists.

Maximo Application Suite

IBM’s Maximo Application Suite plays an important part in implementing large manufacturers' current and future IBM edge solutions. Maximo is an integrated public or private cloud platform that uses AI, IoT, and analytics to optimize performance, extend asset lifecycles and reduce operational downtime and costs. IBM is working with several large manufacturing clients currently using Maximo to develop edge use cases, and even uses it within its own Manufacturing.

IBM has research underway to develop a more efficient method of handling life cycle management of large models that require immense amounts of data. Day 2 AI operations tasks can sometimes be more complex than initial model training, deployment, and scaling. Retraining at the edge is difficult because resources are typically limited.

Once a model is trained and deployed, it is important to monitor it for drift caused by changes in data distributions or anything that might cause a model to deviate from original requirements. Inaccuracies can adversely affect model ROI.

Day-2 AI Operations (retraining and scaling)

Day-2 AI operations consist of continual updates to AI models and applications to keep up with changes in data distributions, changes in the environment, a drop in model performance, availability of new data, and/or new regulations.

IBM recognizes the advantages of performing Day-2 AI Operations, which includes scaling and retraining at the edge. It appears that IBM is the only company with an architecture equipped to effectively handle Day-2 AI operations. That is a significant competitive advantage for IBM.

A company using an architecture that requires data to be moved from the edge back into the cloud for Day-2 related work will be unable to support many factory AI/ML applications because of the sheer number of AI/ML models to support (100s to 1000s).

“There is a huge proliferation of data at the edge that exists in multiple spokes,” Dr. Fuller said. "However, all that data isn’t needed to retrain a model. It is possible to cluster data into groups and then use sampling techniques to retrain the model. There is much value in federated learning from our point of view.”

Federated learning is a promising training solution being researched by IBM and others. It preserves privacy by using a collaboration of edge devices to train models without sharing the data with other entities. It is a good framework to use when resources are limited.

Dealing with limited resources at the edge is a challenge. IBM’s edge architecture accommodates the need to ensure resource budgets for AI applications are met, especially when deploying multiple applications and multiple models across edge locations. For that reason, IBM developed a method to deploy data and AI applications to scale Day-2 AI operations utilizing hub and spokes.

The graphic above shows the current status quo methods of performing Day-2 operations using centralized applications and a centralized data plane compared to the more efficient managed hub and spoke method with distributed applications and a distributed data plane. The hub allows it all to be managed from a single pane of glass.

Data Fabric Extensions to Hub and Spokes

IBM uses hub and spoke as a model to extend its data fabric. The model should not be thought of in the context of a traditional hub and spoke. IBM’s hub provides centralized capabilities to manage clusters and create multiples hubs that can be aggregated to a higher level. This architecture has four important data management capabilities.

  1. First, models running in unattended environments must be monitored. From an operational standpoint, detecting when a model’s effectiveness has significantly degraded and if corrective action is needed is critical.
  2. Secondly, in a hub and spoke model, data is being generated and collected in many locations creating a need for data life cycle management. Working with large enterprise clients, IBM is building unique capabilities to manage the data plane across the hub and spoke estate - optimized to meet data lifecycle, regulatory & compliance as well as local resource requirements. Automation determines which input data should be selected and labeled for retraining purposes and used to further Improve the model. Identification is also made for atypical data that is judged worthy of human attention.
  3. The third issue relates to AI pipeline compression and adaptation. As mentioned earlier, edge resources are limited and highly heterogeneous. While a cloud-based model might have a few hundred million parameters or more, edge models can’t afford such resource extravagance because of resource limitations. To reduce the edge compute footprint, model compression can reduce the number of parameters. As an example, it could be reduced from several hundred million to a few million.
  4. Lastly, suppose a scenario exists where data is produced at multiple spokes but cannot leave those spokes for compliance reasons. In that case, IBM Federated Learning allows learning across heterogeneous data in multiple spokes. Users can discover, curate, categorize and share data assets, data sets, analytical models, and their relationships with other organization members.

In addition to AI deployments, the hub and spoke architecture and the previously mentioned capabilities can be employed more generally to tackle challenges faced by many enterprises in consistently managing an abundance of devices within and across their enterprise locations. Management of the software delivery lifecycle or addressing security vulnerabilities across a vast estate are a case in point.

Multicloud and Edge platform

In the context of its strategy, IBM sees edge and distributed cloud as an extension of its hybrid cloud platform built around Red Hat OpenShift. One of the newer and more useful options created by the Red Hat development team is the Single Node OpenShift (SNO), a compact version of OpenShift that fits on a single server. It is suitable for addressing locations that are still servers but come in a single node, not clustered, deployment type.

For smaller footprints such as industrial PCs or computer vision boards (for example NVidia Jetson Xavier), Red Hat is working on a project which builds an even smaller version of OpenShift, called MicroShift, that provides full application deployment and Kubernetes management capabilities. It is packaged so that it can be used for edge device type deployments.

Overall, IBM and Red Hat have developed a full complement of options to address a large spectrum of deployments across different edge locations and footprints, ranging from containers to management of full-blown Kubernetes applications from MicroShift to OpenShift and IBM Edge Application Manager.

Much is still in the research stage. IBM's objective is to achieve greater consistency in terms of how locations and application lifecycle is managed.

First, Red Hat plans to introduce hierarchical layers of management with Red Hat Advanced Cluster Management (RHACM), to scale by two to three orders of magnitude the number of edge locations managed by this product. Additionally, securing edge locations is a major focus. Red Hat is continuously expanding platform security features, for example by recently including Integrity Measurement Architecture in Red Hat Enterprise Linux, or by adding Integrity Shield to protect policies in Red Hat Advanced Cluster Management (RHACM).

Red Hat is partnering with IBM Research to advance technologies that will permit it to protect platform integrity and the integrity of client workloads through the entire software supply chains. In addition, IBM Research is working with Red Hat on analytic capabilities to identify and remediate vulnerabilities and other security risks in code and configurations.

Telco network intelligence and slice management with AL/ML

Communication service providers (CSPs) such as telcos are key enablers of 5G at the edge. 5G benefits for these providers include:

  • Reduced operating costs
  • Improved efficiency
  • Increased distribution and density
  • Lower latency

The end-to-end 5G network comprises the Radio Access Network (RAN), transport, and core domains. Network slicing in 5G is an architecture that enables multiple virtual and independent end-to-end logical networks with different characteristics such as low latency or high bandwidth, to be supported on the same physical network. This is implemented using cloud-native technology enablers such as software defined networking (SDN), virtualization, and multi-access edge computing. Slicing offers necessary flexibility by allowing the creation of specific applications, unique services, and defined user groups or networks.

An important aspect of enabling AI at the edge requires IBM to provide CSPs with the capability to deploy and manage applications across various enterprise locations, possibly spanning multiple end-to-end network slices, using a single pane of glass.

5G network slicing and slice management

Network slices are an essential part of IBM's edge infrastructure that must be automated, orchestrated and optimized according to 5G standards. IBM’s strategy is to leverage AI/ML to efficiently manage, scale, and optimize the slice quality of service, measured in terms of bandwidth, latency, or other metrics.

5G and AI/ML at the edge also represent a significant opportunity for CSPs to move beyond traditional cellular services and capture new sources of revenue with new services.

Communications service providers need management and control of 5G network slicing enabled with AI-powered automation.

Dr. Fuller sees a variety of opportunities in this area. "When it comes to applying AI and ML on the network, you can detect things like intrusion detection and malicious actors," he said. "You can also determine the best way to route traffic to an end user. Automating 5G functions that run on the network using IBM network automation software also serves as an entry point.”

In IBM’s current telecom trial, IBM Research is spearheading the development of a range of capabilities targeted for the IBM Cloud Pak for Network Automation product using AI and automation to orchestrate, operate and optimize multivendor network functions and services that include:

  • End-to-end 5G network slice management with planning & design, automation & orchestration, and operations & assurance
  • Network Data and AI Function (NWDAF) that collects data for slice monitoring from 5G Core network functions, performs network analytics, and provides insights to authorized data consumers.
  • Improved operational efficiency and reduced cost

Future leverage of these capabilities by existing IBM Clients that use the Cloud Pak for Network Automation (e.g., DISH) can offer further differentiation for CSPs.

5G radio access

Open radio access networks (O-RANs) are expected to significantly impact telco 5G wireless edge applications by allowing a greater variety of units to access the system. The O-RAN concept separates the DU (Distributed Units) and CU (Centralized Unit) from a Baseband Unit in 4G and connects them with open interfaces.

O-RAN system is more flexible. It uses AI to establish connections made via open interfaces that optimize the category of a device by analyzing information about its prior use. Like other edge models, the O-RAN architecture provides an opportunity for continuous monitoring, verification, analysis, and optimization of AI models.

The IBM-telco collaboration is expected to advance O-RAN interfaces and workflows. Areas currently under development are:

  • Multi-modal (RF level + network-level) analytics (AI/ML) for wireless communication with high-speed ingest of 5G data
  • Capability to learn patterns of metric and log data across CUs and DUs in RF analytics
  • Utilization of the antenna control plane to optimize throughput
  • Primitives for forecasting, anomaly detection and root cause analysis using ML
  • Opportunity of value-added functions for O-RAN

IBM Cloud and Infrastructure

The cornerstone for the delivery of IBM's edge solutions as a service is IBM Cloud Satellite. It presents a consistent cloud-ready, cloud-native operational view with OpenShift and IBM Cloud PaaS services at the edge. In addition, IBM integrated hardware and software Edge systems will provide RHACM - based management of the platform when clients or third parties have existing managed as a service models. It is essential to note that in either case this is done within a single control plane for hubs and spokes that helps optimize execution and management from any cloud to the edge in the hub and spoke model.

IBM's focus on “edge in” means it can provide the infrastructure through things like the example shown above for software defined storage for federated namespace data lake that surrounds other hyperscaler clouds. Additionally, IBM is exploring integrated full stack edge storage appliances based on hyperconverged infrastructure (HCI), such as the Spectrum Fusion HCI, for enterprise edge deployments.

As mentioned earlier, data gravity is one of the main driving factors of edge deployments. IBM has designed its infrastructure to meet those data gravity requirements, not just for the existing hub and spoke topology but also for a future spoke-to-spoke topology where peer-to-peer data sharing becomes imperative (as illustrated with the wealth of examples provided in this article).

Wrap up

Edge is a distributed computing model. One of its main advantages is that computing, and data storage and processing is close to where data is created. Without the need to move data to the cloud for processing, real-time application of analytics and AI capabilities provides immediate solutions and drives business value.

IBM’s goal is not to move the entirety of its cloud infrastructure to the edge. That has little value and would simply function as a hub to spoke model operating on actions and configurations dictated by the hub.

IBM’s architecture will provide the edge with autonomy to determine where data should reside and from where the control plane should be exercised.

Equally important, IBM foresees this architecture evolving into a decentralized model capable of edge-to-edge interactions. IBM has no firm designs for this as yet. However, the plan is to make the edge infrastructure and platform a first-class citizen instead of relying on the cloud to drive what happens at the edge.

Developing a complete and comprehensive AI/ML edge architecture - and in fact, an entire ecosystem - is a massive undertaking. IBM faces many known and unknown challenges that must be solved before it can achieve success.

However, IBM is one of the few companies with the necessary partners and the technical and financial resources to undertake and successfully implement a project of this magnitude and complexity.

It is reassuring that IBM has a plan and that its plan is sound.

Paul Smith-Goodson is Vice President and Principal Analyst for quantum computing, artificial intelligence and space at Moor Insights and Strategy. You can follow him on Twitter for more current information on quantum, AI, and space.

Note: Moor Insights & Strategy writers and editors may have contributed to this article.

Moor Insights & Strategy, like all research and tech industry analyst firms, provides or has provided paid services to technology companies. These services include research, analysis, advising, consulting, benchmarking, acquisition matchmaking, and speaking sponsorships. The company has had or currently has paid business relationships with 8×8, Accenture, A10 Networks, Advanced Micro Devices, Amazon, Amazon Web Services, Ambient Scientific, Anuta Networks, Applied Brain Research, Applied Micro, Apstra, Arm, Aruba Networks (now HPE), Atom Computing, AT&T, Aura, Automation Anywhere, AWS, A-10 Strategies, Bitfusion, Blaize, Box, Broadcom, C3.AI, Calix, Campfire, Cisco Systems, Clear Software, Cloudera, Clumio, Cognitive Systems, CompuCom, Cradlepoint, CyberArk, Dell, Dell EMC, Dell Technologies, Diablo Technologies, Dialogue Group, Digital Optics, Dreamium Labs, D-Wave, Echelon, Ericsson, Extreme Networks, Five9, Flex, Foundries.io, Foxconn, Frame (now VMware), Fujitsu, Gen Z Consortium, Glue Networks, GlobalFoundries, Revolve (now Google), Google Cloud, Graphcore, Groq, Hiregenics, Hotwire Global, HP Inc., Hewlett Packard Enterprise, Honeywell, Huawei Technologies, IBM, Infinidat, Infosys, Inseego, IonQ, IonVR, Inseego, Infosys, Infiot, Intel, Interdigital, Jabil Circuit, Keysight, Konica Minolta, Lattice Semiconductor, Lenovo, Linux Foundation, Lightbits Labs, LogicMonitor, Luminar, MapBox, Marvell Technology, Mavenir, Marseille Inc, Mayfair Equity, Meraki (Cisco), Merck KGaA, Mesophere, Micron Technology, Microsoft, MiTEL, Mojo Networks, MongoDB, MulteFire Alliance, National Instruments, Neat, NetApp, Nightwatch, NOKIA (Alcatel-Lucent), Nortek, Novumind, NVIDIA, Nutanix, Nuvia (now Qualcomm), onsemi, ONUG, OpenStack Foundation, Oracle, Palo Alto Networks, Panasas, Peraso, Pexip, Pixelworks, Plume Design, PlusAI, Poly (formerly Plantronics), Portworx, Pure Storage, Qualcomm, Quantinuum, Rackspace, Rambus, Rayvolt E-Bikes, Red Hat, Renesas, Residio, Samsung Electronics, Samsung Semi, SAP, SAS, Scale Computing, Schneider Electric, SiFive, Silver Peak (now Aruba-HPE), SkyWorks, SONY Optical Storage, Splunk, Springpath (now Cisco), Spirent, Splunk, Sprint (now T-Mobile), Stratus Technologies, Symantec, Synaptics, Syniverse, Synopsys, Tanium, Telesign,TE Connectivity, TensTorrent, Tobii Technology, Teradata,T-Mobile, Treasure Data, Twitter, Unity Technologies, UiPath, Verizon Communications, VAST Data, Ventana Micro Systems, Vidyo, VMware, Wave Computing, Wellsmith, Xilinx, Zayo, Zebra, Zededa, Zendesk, Zoho, Zoom, and Zscaler. Moor Insights & Strategy founder, CEO, and Chief Analyst Patrick Moorhead is an investor in dMY Technology Group Inc. VI, Dreamium Labs, Groq, Luminar Technologies, MemryX, and Movandi.

Mon, 08 Aug 2022 03:51:00 -0500 Paul Smith-Goodson en text/html https://www.forbes.com/sites/moorinsights/2022/08/08/ibm-research-rolls-out-a-comprehensive-ai-and-ml-edge-research-strategy-anchored-by-enterprise-partnerships-and-use-cases/
Killexams : US investigates Huawei equipment near missile silos, military bases No result found, try new keyword!According to a 10-page document seen by Reuters, the agency subpoenaed Huawei in April 2021 to learn the company's policy on sharing data with foreign parties that its equipment could capture from ... Thu, 21 Jul 2022 23:26:00 -0500 en-US text/html https://www.datacenterdynamics.com/en/news/us-investigates-huawei-equipment-near-missile-silos-military-bases/ Killexams : Huawei Apps UP Contest 2022: Propelling Plano's growth with Huawei Mobile Services

How the winner of Apps UP 2021 achieved innovative success and made social impact with Huawei Mobile Services (HMS)

SINGAPORE, July 28, 2022 /PRNewswire/ -- Plano - a Singapore-based health application that offers technological solutions to Improve children's eye health was the winner of Huawei's Apps UP 2021 app innovation contest for "Best Social Impact App" and "Most Popular App" awards. The app has achieved significant increase in acquiring new users by deepening their collaborations with Huawei mobile ecosystem.

Plano's vision is to Improve eye health globally by equipping parents with the tools to prevent myopia amongst children. With Plano, parents are equipped with a software that detects the distance between a user's face and screen, improving eye health and reducing myopia in children. Plano saw Huawei's technological capabilities and its all-scenario ecosystem as an opportunity to support their vision, and embarked on this journey of development with Huawei.

Plano's journey to success with HMS

Plano was first published in AppGallery in May 2021 after integrating their app into HMS Core - the Huawei set of app development framework. HMS Core has been an essential contributor to enable a wide range of app functions in Plano such as remote device lock, location tracking, and app or browser blocking.

"What made our life a lot easier working with Huawei was the several kits available to enable different functionalities on the operating system. The Machine Learning Kit (ML Kit), for example, enables face-to-screen detection which is incredibly important to ensure that users are holding their phone at a correct distance," said Mohamed Dirani, the Founding Managing Director of Plano.

After onboarding to AppGallery, Plano continues to seek improvement to elevate their user experience and boost app growth. The app seized the opportunity to join Apps UP 2021, the Huawei Global App Innovation Contest, by further integrating with HMS Core kits to unlock more app features and compete for attractive regional prizes.

Plano decided to extend their app services from smartphone to smartwatch, to achieve multi touchpoint presence and serve cross-device users. This is made possible by integrating with "Wear Engine", for the app to be compatible with smartwatches HUAWEI WATCH GT 3 and HUAWEI WATCH 3. With the watch app, parents can now easily check their children's device usage directly from their wrists. This helped Plano broaden their user base across Huawei's hardware and software ecosystem, along with achieving their core vision of providing eye education and awareness into every household.

Plano's outstanding solutions to preserve eye-health across different scenarios made them one of the top winners in Apps UP 2021, winning for themselves the "Best Social Impact App" and "Most Popular App" awards.

"The Apps UP competition allows for unprecedented collaboration between app developers and the Huawei mobile services team. This is extremely helpful for developers to familiarise themselves with the Huawei ecosystem and is an efficient way to pick up tech knowledge in a fast-moving industry," shared Kevin Li, Chief Technology Officer at Plano.

Capturing synergies within HMS ecosystem  

Beyond technological capabilities, Huawei's comprehensive ecosystem offerings provide Plano with continuous business growth. In August 2021, the eye-care app ran a joint marketing campaign with HUAWEI AppGallery to drive awareness and downloads. The campaign made use of Huawei owned displayed channels within AppGallery which drove excellent results for Plano. In the first week of the campaign, the daily average downloads increased by 8.5 times. 

Encouraged by the results, Plano continues to forge deeper collaborations in HMS ecosystem. In December, Plano invested in HUAWEI Ads with the objective to increase reservations on its eye examination platform - planoEyecheck. Leveraging on the ad channels including Petal Search and other HUAWEI Ads integrated third-party apps, the second campaign boosted the platform's reservation by 15 times within the campaign period.

Calling all app developers to participate in Apps UP 2022 contest

Plano's success with HMS ecosystem lies heavily in its focus on app innovation, where Apps UP played a key role in facilitating the process. Now, Apps UP 2022 contest is back this year, aiming to inspire and support developers in adopting HMS Core Kits to create innovative apps.

In the APAC edition, twenty outstanding apps will be selected based on app design, user experience, innovativeness and business value to win from a total prize pool of US$200,000. Talented developers within the region simply have to submit an app that has been integrated with at least one HMS Core Kit before 9 October to be eligible for the contest.

To register for Apps UP 2022, please visit: https://bit.ly/APPSUPPR_APAC 

To view Plano's story, please visit: Plano x Huawei Mobile Services

SOURCE Huawei Mobile Services

Wed, 27 Jul 2022 02:00:00 -0500 en text/html https://www.malaysiasun.com/news/272634656/huawei-apps-up-contest-2022-propelling-plano-growth-with-huawei-mobile-services
Killexams : Huawei opens Melbourne store

The store features 40 innovative, high-tech, and aesthetically delightful PC, audio, and wearable products - that can be touched, tried, and purchased.

This includes brand new health-focused wearables like the Huawei Watch GT3 Pro in titanium and ceramic, the health-redefining Watch D which can monitor blood pressure, the stylish Watch Fit 2, and the upgraded ultra-thin Band 7, as well as the stylish Sound Joy portable speaker.

Lockdowns initially delayed Huawei's expansion plans but the new Huawei Authorised Experience Store has happily now opened, and can be found at G-153 The Glen Shopping Centre, 235 Springvale Rd, Glen Waverley, Victoria 3150.

Huawei Consumer Business managing director Dickson Yang said Huawei has ambitious long-term goals in Australia and plans to open more stores across the country. “The objective has always been to grow our presence in Australia, but due to the pandemic, our expansion was slightly stunted but now that the future looks bright, we are looking to expand into other states if there are no major disruptions," he said.

“Huawei listens to our consumers and we want to make our market-leading products easily accessible to all Australians who value innovative technology, and we are excited to be bringing this experience to Melbourne consumers," Yang stated,

As well as enjoying the new store and experiences, Melbourne shoppers can take advantage of Huawei's end-of-financial-year offers with discounts and offers across a range of wearables, audio, and PCs from now through to 20 July 2022.

Thu, 07 Jul 2022 05:42:00 -0500 en-gb text/html https://itwire.com/business-it-news/hardware-and-storage/resellers/huawei-opens-melbourne-store.html
Killexams : Huawei chairman urges U.S. to reconsider ‘attack’ on global supply chain

SHANGHAI--Chinese telecom giant Huawei Technologies said on Wednesday its supply chain was under attack from the United States and called on Washington to reconsider its trade restrictions which were hurting suppliers globally.

The world’s biggest maker of mobile telecommunications equipment and smartphones is under pressure from U.S. trade curbs designed to choke Huawei’s access to commercially available chips.

“The U.S. has modified their sanctions for the third time and that has indeed brought great challenges to our production and operations,” Huawei Chairman Guo Ping told reporters in Shanghai.

Washington says Huawei is a vehicle for Chinese state espionage and from Sept. 15 imposed new curbs barring U.S. companies from supplying or servicing the company. Huawei has repeatedly denied being a national security risk.

Guo said that although Huawei had sufficient chips for its business-to-business operations, including its 5G network enterprise, it was feeling the pinch of the U.S. restrictions on its smartphone chip stocks.

It understood that suppliers such as Qualcomm were applying for U.S. licenses which would allow them to continue serving Huawei, he added.

Intel has already received licenses to supply certain products to Huawei, while China’s Semiconductor Manufacturing International Corp, which uses U.S.-origin machinery to produce chips for Huawei, has applied for a license, Reuters has previously reported.

Huawei was willing to use Qualcomm chips in its smartphones should Qualcomm get a license to sidestep the restrictions, Guo added. Qualcomm did not immediately respond to a request for comment.

“We hope the U.S. government can reconsider its policy and if the U.S. government allows it we are still willing to buy products from U.S. companies,” Guo said on the sidelines of its annual Huawei Connect conference.

Huawei has said that from Sept. 15 it would stop manufacturing its most advanced chips under its Kirin line which power its high-end phones. Analysts expect its existing supply of Kirin chips will run out next year.

Consumers have rushed to buy Huawei phones amid concerns its mobile division is about to fold. Vendors say that prices have spiked by as much as 500 yuan ($74) for some devices.

Washington has shown little sign that it is willing to back down from its fight with Huawei, which comes at a time when relations between the United States and China are at their worst in decades.

The United States said last month it would expand a program it called “Clean Network” to prevent various Chinese apps and telecoms companies from accessing sensitive information on American citizens and businesses.

David Wang, a Huawei executive director, said the company hoped that countries would introduce “rational standards” for 5G. Huawei had yet to see any adverse impact on its global 5G business from the U.S. program, he added.

Sun, 24 Jul 2022 12:00:00 -0500 en text/html https://www.asahi.com/ajw/articles/13753061
Killexams : Digital Innovation: Huawei Unveil MEGA digital Infrastructure Solutions

SINGAPORE, July 25, 2022 /PRNewswire/ -- During the Huawei Intelligent Finance Summit 2022, Huawei proposed the Multi-domain collaborative, Efficient, Green, and Autonomous (MEGA) financial digital infrastructure, and unveiled solutions empowering digital transformation of financial industry.

MEGA infrastructure is a global trend for finance.

Riding on the megatrends of fully connected, fully intelligent, and all scenarios finance, digital innovation is the key competitiveness for business growth, operational resilience, and sustainability, which has also become the crucial engine of the global digital economy. The ultimate user digital experience and business innovations are accelerating digital transformation of the financial industry.

Dr. Margaret Hu, President of Marketing and Solution Sales, Global Digital Finance, Huawei, said: "For digital and intelligent transformation of finance, Huawei will work with partners to embrace challenges ahead, and help the financial sector build MEGA digital infrastructure."

(PRNewsfoto/Huawei)

MEGA represents multi-domain collaborative, efficient, green, and autonomous. Huawei believes these directions of MEGA is important for financial digital infrastructure evolution in the new era. To build MEGA digital infrastructure, the computing power, storage, and connectivity will be reshaped to empower financial institutions achieve high-efficiency, high-availability, and high-performance services through in-depth Cloudification Collaboration, Cross domain Collaboration and Heterogeneous Collaboration.

Nicholas Ma, President of the Enterprise Business Group, Huawei Asia Pacific Region, Huawei, said: "To build the green, digital and intelligent finance, we can move faster together only with healthy and sustainable ecosystem collaboration. We plan to enhance the ecosystem collaboration with global partners to match the digital demands from financial industry based on our fundamental research capability, innovative solutions, technology platform and Huawei Cloud."

Driving digital transformation with innovation, Huawei Unveil MEGA Infrastructure Solutions

Based on Huawei's leading innovative technologies and capabilities, Huawei works with partners to develop innovative digital infrastructure solutions.

  • Industry's first Storage-Optical Connection Coordination (SOCC): The combination of millisecond-level optical transmission link fault detection and fast storage switchover algorithm reduces the I/O link switchover from 120 seconds to 2 seconds when a transmission line is faulty, ensuring zero transaction failures and 24/7 online service for financial customers.

  • Multi-Domain Controller (MDC): Financial customers' public clouds, private clouds, and traditional data centers are isolated from each other, which makes it difficult for multiple departments to collaborate on network O&M. The MDC solution implements network-wide simulation verification and one-click configuration delivery, reducing the network change efficiency from days to minutes.

  • Converged Storage Pool: To meet customers' multi-environment requirements, all data from physical machines, VMs, containers, or public clouds, can be stored in one data resource pool and centrally managed using Huawei Data management engine (DME). This solution consolidates the data resources, improving the overall resource utilization from 40% to 70%, and lowering the TCO by 30%.

  • Guaranteed Data Protection: In antivirus and anti-ransomware scenarios, the firewall, all-flash production, and all-flash backup are combined to achieve integrated protection ranging from virus detection, prevention, and isolation to data recovery. The virus detection rate is increased from 99.5% to 99.9%, and the backup and recovery time is shortened by five times. This solution effectively prevents virus attacks such as ransomware and ensures financial service security.

  • Huawei works with Netis to jointly develop a service-level intelligent O&M solution for the financial industry, to address a series of IT O&M challenges.by this solution O&M of services, applications, clouds, data centers, networks, and devices can be visualized from end to end, covering all links.

  • Huawei & Tongdun jointly developed Intelligent Risk Decision: Combining Tongdun's industry-leading decision-making engine, model management capabilities, and with Huawei Cloud, leading data & AI technologies, such as Hetu, DGC, Lakehouse, and GES. This solution helps financial customers Improve decision-making efficiency by over 70% in scenarios such as anti-fraud and credit rating. The average response time in large-scale concurrency scenarios can reach less than 50 ms. In addition, hundreds of typical rules and models are built in, facilitating quick deployment and meeting service challenges.

To date, Huawei has served over 2,000 financial customers in more than 60 countries and regions, including 49 of the world's top 100 banks.

SOURCE Huawei

Sun, 24 Jul 2022 14:44:00 -0500 en-CA text/html https://ca.finance.yahoo.com/news/digital-innovation-huawei-unveil-mega-024100013.html
Killexams : Huawei Apps UP Contest 2022: Propelling Plano's growth with Huawei Mobile Services

How the winner of Apps UP 2021 achieved innovative success and made social impact with Huawei Mobile Services (HMS)

SINGAPORE, July 28, 2022 /PRNewswire/ -- Plano – a Singapore-based health application that offers technological solutions to Improve children's eye health was the winner of Huawei's Apps UP 2021 app innovation contest for "Best Social Impact App" and "Most Popular App" awards. The app has achieved significant increase in acquiring new users by deepening their collaborations with Huawei mobile ecosystem.

Plano's vision is to Improve eye health globally by equipping parents with the tools to prevent myopia amongst children. With Plano, parents are equipped with a software that detects the distance between a user's face and screen, improving eye health and reducing myopia in children. Plano saw Huawei's technological capabilities and its all-scenario ecosystem as an opportunity to support their vision, and embarked on this journey of development with Huawei.

Plano's journey to success with HMS

Plano was first published in AppGallery in May 2021 after integrating their app into HMS Core – the Huawei set of app development framework. HMS Core has been an essential contributor to enable a wide range of app functions in Plano such as remote device lock, location tracking, and app or browser blocking.

"What made our life a lot easier working with Huawei was the several kits available to enable different functionalities on the operating system. The Machine Learning Kit (ML Kit), for example, enables face-to-screen detection which is incredibly important to ensure that users are holding their phone at a correct distance," said Mohamed Dirani, the Founding Managing Director of Plano.

After onboarding to AppGallery, Plano continues to seek improvement to elevate their user experience and boost app growth. The app seized the opportunity to join Apps UP 2021, the Huawei Global App Innovation Contest, by further integrating with HMS Core kits to unlock more app features and compete for attractive regional prizes.

Plano decided to extend their app services from smartphone to smartwatch, to achieve multi touchpoint presence and serve cross-device users. This is made possible by integrating with "Wear Engine", for the app to be compatible with smartwatches HUAWEI WATCH GT 3 and HUAWEI WATCH 3. With the watch app, parents can now easily check their children's device usage directly from their wrists. This helped Plano broaden their user base across Huawei's hardware and software ecosystem, along with achieving their core vision of providing eye education and awareness into every household.

Plano's outstanding solutions to preserve eye-health across different scenarios made them one of the top winners in Apps UP 2021, winning for themselves the "Best Social Impact App" and "Most Popular App" awards.

"The Apps UP competition allows for unprecedented collaboration between app developers and the Huawei mobile services team. This is extremely helpful for developers to familiarise themselves with the Huawei ecosystem and is an efficient way to pick up tech knowledge in a fast-moving industry," shared Kevin Li, Chief Technology Officer at Plano.

Capturing synergies within HMS ecosystem  

Beyond technological capabilities, Huawei's comprehensive ecosystem offerings provide Plano with continuous business growth. In August 2021, the eye-care app ran a joint marketing campaign with HUAWEI AppGallery to drive awareness and downloads. The campaign made use of Huawei owned displayed channels within AppGallery which drove excellent results for Plano. In the first week of the campaign, the daily average downloads increased by 8.5 times.

Encouraged by the results, Plano continues to forge deeper collaborations in HMS ecosystem. In December, Plano invested in HUAWEI Ads with the objective to increase reservations on its eye examination platform – planoEyecheck. Leveraging on the ad channels including Petal Search and other HUAWEI Ads integrated third-party apps, the second campaign boosted the platform's reservation by 15 times within the campaign period.

Calling all app developers to participate in Apps UP 2022 contest

Plano's success with HMS ecosystem lies heavily in its focus on app innovation, where Apps UP played a key role in facilitating the process. Now, Apps UP 2022 contest is back this year, aiming to inspire and support developers in adopting HMS Core Kits to create innovative apps.

In the APAC edition, twenty outstanding apps will be selected based on app design, user experience, innovativeness and business value to win from a total prize pool of US$200,000. Talented developers within the region simply have to submit an app that has been integrated with at least one HMS Core Kit before 9 October to be eligible for the contest.

To register for Apps UP 2022, please visit: https://bit.ly/APPSUPPR_APAC

To view Plano's story, please visit: Plano x Huawei Mobile Services

SOURCE Huawei Mobile Services

Wed, 27 Jul 2022 14:16:00 -0500 en-US text/html https://finance.yahoo.com/news/huawei-apps-contest-2022-propelling-020000856.html
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