Huawei Microwave Awarded the Prestigious Aegis Graham Bell Award 2019 - Huawei Certifications

Aegis Graham Bell Award 2019 announced Huawei as winner for the “Innovative Telecom Solution” category for the “5G Microwave Solution” - a breakthrough in resolving bottleneck of large bandwidth, precise synchronization and lowest latency. This marks the third consecutive win of the eminent Aegis Graham Bell Award for Huawei for revolutionizing the Information and Communication Technology (ICT) landscape in India with its innovative and pioneering technology solutions.

Innovative features introduced by Huawei 5G Microwave, an industry first solution, will allow a more efficient use of the spectrum per link basis with Carrier Aggregation (CA), higher modulations, Multiple-input multiple-output (MIMO) , Super Dual Band ( SDB ) & ultra-low latency. The 5G Microwave solution effectively meets bandwidth , synchronization and latency requirements of 5G networks, increases delivery efficiency, reduces total cost of ownership (TCO) of network construction up to 30% and supports future evolution with capabilities to facilitate smooth and gradual evolution to 5G networks. It also boasts 5G-oriented features such as the innovative CA ODU (outdoor unit), modular antenna, SDB, ultra-low latency and high-power ODU. This helps customers quickly recover their investments and is a very good alternative to fiber requirements, especially for 5G till 5G penetration increase in the country. By improving mobile broadband coverage, more users can enjoy 5G services in the future.

Commenting on the win, Mr. Jay Chen, CEO, Huawei India, said, “This award is a testament to our commitment towards developing innovative technologies that effectively support operators’ new service development and expand the business blueprint in the upcoming 5G scenarios. As we steer forward in the 5G era, we will continue to collaborate with operators and empower them with future-oriented and top-value technologies that bring global network development to everyone and help build a fully connected, intelligent world.”

Aegis Graham Bell Awards (AGBA) has been promoting innovations and entrepreneurship in ICT domain. AGBA has been rewarding those who made outstanding contribution in these fields since 8 years with a vision to foster and stimulate innovators, for India to become a nucleus of innovations.

Pass Your Huawei Certification Exams In First Attempt

Huawei actively Promotes IEEE Smart City Reference Architecture Standard Process - Huawei Certifications

Huawei successfully hosted IEEE P2413 Working Group meeting in Shenzhen. At the meeting, Huawei submitted two types of proposals, describing capabilities that were architected to support video and converged communication, as well as the scenarios and requirements of smart city IoC, smart campus, and smart airport.

Liu Min, director of Huawei Enterprise BG Industry Solution, said at the opening of the meeting, "Huawei's vision is to bring the digital world to everyone, every family, every organization, and to build a smart world where everything is connected. Smart cities are becoming more and more popular， and this is clearly the way of the future. Leveraging innovative technologies such as the Internet of Things and Cloud Computing, the speed of development and adoption will continue to accelerate, and the Smart City industrial value chain will continue to expand exponentially. In the future, Smart Cities will make information more accessible and useful, improve service levels, and create a vibrant standards-based industrial ecosystem. "

Huawei believes that video capabilities will be widely used in all areas of Smart Cities. Video will become an indispensable data source. There will be more and more new video services in the future, and video standards are in urgent need of promotion. In response to the underlying support capabilities, video capabilities and converged communication capabilities of smart cities, Huawei has derived the corresponding system architecture by describing the requirements of video and converged communication related scenarios. Participants discussed the video analysis capability proposal in depth, and IEEE P2413 working group made a decision to send a Liaison Statement to Open Network Video Interface Forum (ONVIF) to join forces in development of a standardized northbound interface based on an open protocol.

Another type of proposals elaborates on the three scenarios of smart city Intelligent Operation Center (IoC), smart park and smart airport, and then derives the corresponding Platform as a Service (PaaS) data platform requirements. The proposal submitted by Huawei was a base for fruitful discussions at the meeting and the content of the proposal was approved by the participants for the inclusion into the draft. Chairman Logvinov proposed that the next working group meeting should include a one-day Smart City Forum, with the goal of inviting city governments and companies working in this area to discuss the Smart City requirements and architectural needs.

To accelerate the fusion of technology and commerce we urgently need to grow the ecosystem and engage partners to demonstrate the value of Smart City applications, and the importance of a biodiverse ecosystem in building the unified platform. The first step is to build a basic platform to aggregate data and open up capabilities so that upper-layer applications can use these capabilities to provide industry applications quickly, agilely, and richly. So as to build a cloud-based service platform with an ecological form, truly help corporate customers, partners, and win-win in the process of digital transformation of the industry.

Our experts say about Huawei Certification Exams

Agility, AI & Blockchain in the Financial Industry - Huawei Certifications

Three top tips for businesses to develop a digital strategy

 The very first tip that I’d give companies and enterprises is to fully identify who your customer is and to focus on their needs, especially their problems. Next, I’d create some trials to test solutions for the problems. And then, lastly, I’d gather up some evidence to build something that really will impact their business by solving the problems you’ve identified.

Should traditional banks compete or cooperate with FinTech startups?

I think the general term these days is “innovate or die.” A lot of companies that were extremely successful in the past no longer exist today. You look at Blockbuster videos – they were very dominant in their era, but now Netflix has a huge lead in terms of videos, movies, and streaming. To compete, companies need to evolve and change; they need to transform instead of staying still. A lot of the big financial organizations are like elephants. And how do you teach an elephant how to dance? It’s very difficult and requires a new organizational mindset.

Factors hampering innovation and agility

I think one of the biggest insights I’ve noticed in organizations, especially around Asia, is culture. A lot of the companies have been very successful for many years. Therefore, there isn’t really a huge incentive for them to change – they’re complacent, they’re enjoying success. They don’t feel the need. And I think that type of thinking and doing things the old way because it’s worked is one of the biggest stumbling blocks for companies that are looking to innovate to stay ahead of the game.

Disruption with AI

We’re seeing a lot of movement with regards to people or companies that used to be middlemen. We’re seeing that customers want to go direct, they want a much faster experience, they want to do things digitally, and they want to do things wherever they are in the world. So I think that’s a huge disruption. Banks and insurance agencies for example, are definitely industries that are going to be disrupted. To fix that, they need to understand the pain points of their customers. What are their biggest problems? How can they solve them rapidly? So, technologies will have a huge impact going forward. Cloud, DevOps, bandwidth: These are all mediums that are going to help companies stay ahead of the game and innovate.

In terms of artificial intelligence and machine learning, we’ve seen some use cases, especially in the insurance field, of making the onboarding process faster. Instead of having a person, such as an underwriter, determine the applicability or risk profile of a particular customer, machine learning can grab historical data and quickly identify the parameters to automatically assess the person in seconds. Moreover, an AI chatbot can be in service 24/7 for questions and issues. For insurance, the claims process, is made instant in terms of submitting paperwork, details, and getting instant payments. I think that’s the ideal customer situation and experience that I’ve been trying to build.

So, now we’re seeing an acceleration in speed and a whole customer picture. Speed, reducing friction, and just the possibility of being able to do all these types of transactions wherever and whenever. That’s really what people are looking for.

How will robot advisers impact consumers?

Right now one of the biggest things that impact consumer choice is complexity. A robot adviser helps break down the true components that you need to make an investment. What’s going to help you make that informed decision? Robot advisers will really help, especially for millennials who are coming through, who are getting their first job, making their first big financial decisions. I think robot advisers will definitely play a big part in their future.

Vendors are focusing on a single step

The end-to-end process is being broken up by people who can really deliver that step the best. So for investments, transaction management, and customer service, you’re seeing a lot of start-ups and vendors really focusing on that particular step and doing it well.

We’re not going to see a high street bank or single service provider delivering all services – we’ll see packages from different vendors based on the very individual needs of the customer.

The impact of Blockchain

Blockchain is massive. People are calling Blockchain Internet 4.0 and it’s the new paradigm shift. Instead of going through all these middlemen, instead of the possibilities of having records being tampered with, you now have a very secure database of records. And every record and transaction is encrypted. In various scenarios, that information is public so it increases trust and it increases transparency. And with those two, you also increase the speed of transactions.

Success Secrets: How you can Pass Huawei Certification Exams in first attempt

Activating Zero Faults On Networks with SoftCOM AI - Huawei Certification

Competition drives innovation

In today’s telecoms landscape, IT and Internet companies are offering cloud services in traditional telco territory, including backbone networks, some MANs, IT infrastructure, and IT applications.

If operators cannot provide top-tier cloud services, they will lose many of their traditional services, in particular data center leased lines. Moreover, automation for O&M in telecom networks is low and network complexity means that 70% of network faults are due to human error.

Product innovation alone isn’t enough to overcome the challenges facing operators. Boosting competitiveness requires innovations in system architecture, products, and business models.

What is system architecture innovation?

In cloud computing, it isn’t a breakthrough in a server or storage product. Instead, it’s system-level innovation based on new distributed systems that increase resource utilization. Innovations in products, system architecture, and business models are mutually reinforcing.

On the product side, the principle behind Huawei’s network equipment design is high capacity and low latency. For system architecture, Huawei is looking at self-driving networks that are agile, automated, and smart.

What Do We Mean By Self-driving?

The aim of AI-driven autonomous networks is to create a self-driving network model with three features: agile devices, intelligent control, and intelligent analysis.

In telecom networks, the lower layer is network equipment and the upper layer is the control layer. For network-wide control and O&M, AI and segmented autonomous functions can achieve E2E functionality through the upper-layer operating system, thus enabling the entire network to become autonomous.

The biggest change realized by autonomous networks is that maintenance personnel are no longer involved in the entire service process. The entire network is self-driving in that it’s automated, self-optimizing, and self-healing.

Future networks will be fully automated at the operator side with Huawei providing fully automated AI-based online services. These services will be based on a continuous iterative AI model that’s available as a continually improving Model-as-a-Service.

Introducing AI to networks will bring new value from predictability. Telecom network management and the control center are based on device southbound interfaces and data collection. Various strategies and rules enable network-wide management and scheduling to fulfill three conditions for network automation: network reachability, SLA requirements, and resource efficiency.

However, as the network becomes increasingly complex, this isn’t enough. Online AI reasoning and data analysis are required to predict traffic, quality, and faults. Scheduling the network based on predictions of future conditions avoids faults before they occurs, optimizes quality before it deteriorates, and adjusts traffic before congestion occurs. Thus, the core value offered by AI is zero faults.

Five phases

Developing a self-driving network is a long-term process that we’ve divided into five phases:

One: AI knows “what happened.”

Two: AI can determine “why it happened.”

Three: AI can predict “what will happen” supported by manual judgments and decisions.

Four: AI judges “what measures need to be taken”, which are then carried out manually.

Five: Full automation enables self-healing.

Autonomous networks and Model-as-a-Service will provide end users with a minute-level  experience, optimal network connections at all times, and networks with zero downtime. Operators will benefit from a doubling in efficiency in three areas: O&M, resource efficiency, and energy efficiency.

Our experts say about Huawei Certification Exams

Can AI And Networking Transform Industry? - Huawei Certifications

It’s no secret that advances in networking can disrupt entire industries. One only has to look at what 4G connectivity did for birthing ridesharing and disrupting a taxi industry plagued by inconsistent service and pricing. I believe AI (Artificial Intelligence) can be equally transformative when applied to networking for both cellular operators and enterprises. As an analyst that covers the entire networking infrastructure space, I read of companies big and small that tout the advantages of AI. Whether it’s the application of new algorithms or machine learning to make networks smarter and autonomous, I’m often left wondering what does all of that mean for the end consumer. I would like to examine the retail and healthcare sectors and provide my insights into how these markets might be reimagined through smarter connectivity.

Brick and mortar retail re-invention

Amazon has brought its own form of disruption to retail. The massive online retailer has leveraged connectivity to bring merchants together and streamline logistics to provide an endless assortment of products at compelling prices. Brick and mortar has suffered, causing many large retailers to close locations or go out of business entirely on a global basis. So how could AI and  connectivity re-level the playing field? Wireless networking married to beacon technology can provide wayfinding, proximity messaging alerting shoppers to special promotions, and personalize the overall shopping experience. AI could analyze prior shopper purchase data and make intelligent recommendations for new product considerations. Delighting customers will foster loyalty and repeat purchase behavior.

 Smarter doctors

 I know several physicians and their path to earning a medical degree involved years of study and residency. AI and networking has the potential to link that knowledge as well as late-breaking research to individual patient data history and make it accessible to a wider audience of caregivers. AI won’t replace a physician, but it could speed the process of diagnosis and patient treatment. More lives could be saved with illnesses treated faster and more accurately. Smart healthcare networks could also enhance physician assistant capabilities at national pharmacies and “minute-clinics” that are much more accessible to lower income and non-insured individuals.

Wrapping up

Retail and healthcare are only two examples of the potential of applying AI to networking. I found it interesting that while attending Huawei Connect 2018, rotating Huawei CEO Eric Xu claimed that only 4% of enterprises globally have deployed AI, which represents a tremendous opportunity for companies such as Huawei that are willing to make the investment in silicon, application development tools, and human resources.

Success Secrets: How you can Pass Huawei Certification Exams in first attempt

Huawei’s AI Strategy and Product Portfolio

Huawei’s new vision is a call for an intelligent world powered by artificial intelligence (AI). This in turn has shaped our AI strategy – a strategy that’s predicated on ten factors that will pave the way for widespread AI adoption. These are:

1. Faster model training
2. Abundant and affordable computing power
3. AI deployment and user privacy
4. New algorithms
5. AI automation
6. Practical application
7. Real-time, closed-loop system
8. Multi-tech synergy
9. Platform support
10. Talent availability

In a series of Huawei Connect-themed posts, we’ll be looking at each of these factors in more detail, as well as Huawei’s AI product portfolio and industry applications.

How Do We Reach The Stage of Pervasive Intelligence?

As well as providing the digital infrastructure that enables AI, Huawei has a mature full-stack AI strategy comprising five key areas of focus:

Invest in AI research to develop capabilities for machine learning in domains like computer vision, natural language processing, and decision and inference. Research areas include:

• Data and power-efficiency that requires less overall data, computing resources, and power use
• Security
• Automation

Build a full-stack AI portfolio:

• Deliver abundant and affordable computing power
• Provide an efficient and easy-to-use AI platform with full-pipeline services
• Make the portfolio adaptive to all scenarios, both standalone and cooperative scenarios between cloud, edge, and device

Develop an open ecosystem and talent: Collaborate with global academia, industries, and partners.

Strengthen the existing portfolio: Introduce an AI mindset and techniques into existing products and solutions to create greater value and enhance competitive strengths.

Drive operational efficiency at Huawei: Apply AI to massive volumes of routine business activities for better efficiency and quality.

Huawei’s AI portfolio: full-stack, all-scenario, and inclusive

First, let’s define what we mean by the above terms.

Full-stack: refers to the functionality of Huawei’s technology, which includes chips, chip enablement, a training and inference framework, and application enablement.

All scenarios: indicates the different deployment scenarios for AI, including public clouds, private clouds, edge computing, industrial IoT devices, and consumer devices.

Inclusive AI: refers to Huawei’s commitment to working with all stakeholders to turn AI into a practical reality, making it inclusive and available for every person, home, and organization.

Telecom Asia News Huawei bags three awards at Telecom Asia Readers’ Choice & Innovation Awards

Huawei today announced that it has received top honours in three categories, namely VoLTE Innovation of the Year, LTE Innovation of the Year and Smart City Innovation of the Year at the 11th Readers' Choice & Innovation Awards, organised by Telecom Asia Readers’ Choice & Innovation at The Mira, Hong Kong.

Hailed as the leading global information and communications technology (ICT) solutions provider, Huawei continues to empower the industry by providing winning technologies that are innovative and sustainable.

On winning the three awards, Lim Chee Siong, Chief Strategy and Marketing Officer, Huawei Southern Pacific Region, said, “The constant evolution of digital technology in every sphere of life in recent years has made the technology industry highly dynamic. At Huawei, we recognize this need of the day, and strive to achieve technological breakthroughs centred around customer needs and open partnerships. Our smart city solution, Voice over 5G and cloud solutions are competitive end-to-end products, and bear a strong testimony to our commitment to innovation. It is a matter of pride to be continually recognized for this work and our efforts in the space of digital and ICT transformation.”

“In the digital economy, the success of a business hinges on its ability to securely communicate with partners, customers and regulators. Consumers and enterprises are looking for service providers able to create reliable, secure and scalable platforms. To create this environment is no easy task. Service providers will need to partner with leading technology providers like Huawei to be able to mask the complexity of systems and processes while creating avenues for innovation and growth,” said Allan Tan, Chief Editor, Telecom Asia.

VoLTE Innovation of the Year: Huawei Vo5G

In this category, Huawei presented the development of Vo5G (Voice over 5G) standard and the voice and video codec standard solutions. This solution is the first to provide basic and enhanced functions to ensure a smooth evolution to 5G. Vo5G features flexible architecture-based designs, enabling real-time communication (RTC) services to gradually reach Home, enterprise, and industry users. Further, Huawei has redefined RTC as a microservice, and can orchestrate it to meet the requirements of various industries, such as Internet of Vehicles, industrial control, agriculture, and energy.

LTE Innovation of the Year: Huawei CloudAIR

Mobile operators will go through key transitions from year 2018-2025 including 2G and 3G phase-out, continuous deployment and densification of 4G, and the evolution to 5G. Huawei’s CloudAIR solution is the industry’s first air interface cloud-based solution, which aims to reshape networks, to efficiently share resources such as spectrum, power and channels. This solution improves air interface efficiency to enhance operator’s flexibility to deploy complex radio networks, huge synergized capacities and provide better user experience. The solution can be implemented using existing equipment with only software upgrades. Huawei CloudAIR solution was released in 2017 and is expected to achieve 100 commercial deployments in live networks by end of 2018.

Smart City Innovation of the Year: Huawei Smart City Intelligent Operations Centre

Huawei Smart City Intelligent Operations Centre enables a digital twin of the physical city. Through IoT sensors (video/non-video) across the city, data is collected and transmitted back to the IOC backend platforms using wireless and wired network. The backend platform include Cloud, IoT sensor management, GIS (city visuals), big data (analytics), Video management & analytics, and reporting dashboards (presentation) for better urban management. The solution was developed in partnership with China Government and was implemented in ShenZhen Longgang area covering approximately 400 square kilometer with a population of more than 3 million people.