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.

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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.

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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.

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