With all the talk about the smart revolution, we are finally in the smart and intelligent world, and have numerous use cases around us. While these use cases point towards the greater use of smart resources to make the world around us intelligent, there are numerous trends that can be seen coming up during the recent past. Three of these trends are:

  1. Trend 1: The digital world is finally having a bigger presence in the physical world, and we are moving towards the intelligent world.
  2. Trend 2: Digital transformation seems to be the only way towards success in the industry. It is currently the need of the hour to make correct decisions for the existing industries, and those in the future.
  3. Trend 3: The ICT infrastructure is the cornerstone for all digital platforms, as it fully supports service platforms and enables the digital transformation within any industry.

Keeping in mind these trends, one can gear up for the interesting future, as the smart world comes towards us. As part of my interests in this regard, I was recently invited by Huawei to the Huawei Booth at CEBIT, as part of their Key Opinion Leader program. For those who don’t know, Huawei is a major player in the move towards a better, more intelligent world. They have continuously invested 10 percent of their revenue from each year into driving innovation and research and development. Their R&D ranks at the 6th position of all companies across the world, and they have a large part to play in the intelligent world.

As part of the Huawei booth at CEBIT, I got to see many of the latest innovations that inspired me. Here I would point out five innovations and cases, which I experienced at CEBIT. These innovations seem to be a major part of the intelligent world, and should be thoroughly studied, to form a greater understanding of the digital world.

Smart Cities

The concept of Smart Cities has become a big part of the move towards the digital world. Smart cities were conceptualized almost half a decade ago, and we have come a long way during this time period. With many use cases being presented, one can see the use of Infrastructure as a Service and Software as Service (IaaS and SaaS) offerings in smart cities.

With the rapid development of cities across the world, it was just a matter of time before we saw a smarter method of city management roll out. Urbanization has been found to exert additional pressure on city management, governance, and industrial development. Due to this additional pressure we see economic protection, public safety, industrial and commercial subsystems, and people’s livelihood scattered in a mess. A smart city program redefines city management and uses ML (Machine Learning) and Internet of Things (IoT) technologies to augment humans in this integral part of urban management in today’s age. The use of analytics techniques helps integrate the core information about city operations.

The smart city leads to effective and collaborate services from the government, intelligent infrastructures, coordinated city emergency responses, and visualized city operations. Through this interactive convergence, traditional siloed city management transforms into a more coordinated and integrated city governance. In China alone, we see more and more cities become part of this venture, as city administrators realize the benefits in smart city management. Smart city management has helped increase law-enforcement efficiency by 150 percent in the few use cases that we have seen. The system gathers information from maps, videos, and IoT to perform visualized multi-agency operations. However, administrators need to understand the fact that smart cities are focused on pure IoT more than anything else. The role of IoT in smart cities cannot be undermined, and the sooner city planners understand this fact, the sooner they will be close to administering smart cities across the world. Simply put, having an IoT platform in the city is the first step to creating or supporting a smart city.

Smart Transportation

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With the addition of Smart Airports, we are surely moving towards smartness and intelligence in transportation. Airports are locations that have many moving parts, and with IoT, humans can increase predictive maintenance and ensure better management to improve safety and ensure comfort. A smart airport solution basically covers aspects such as visualized safety, visualized operational processes, airport IoT, and visualized services.

During the last decade, we have seen a booming increase in the global civil aviation industry. The industry has witnessed a continuous increase in passengers traveling via air and the revenue generated by the industry. Recent statistics by the International Air Transport Association (IATA) suggest that the demand for air travel will grow by over seven percent in 2018, and it is expected that the total number of passengers will also soar up high. Keeping in mind this growth, it can safely be said that civil aviation is by far one of the most rapidly growing industries across the world.

The concept behind smart airports aims to limit the downtime that aircrafts go through, and it is expected that the efficiency achieved through the implementation of the technology will help save passengers more than 2,300 hours every day. Moreover, airports can give a more feasible and time-effective service to passengers by saving them the hassle they normally go through from boarding to getting on the plane. A smart airport system leverages technologies such as Big Data, IoT, and biometric to help passengers get through all security checks by just presenting their faces. Moreover, visual surveillance would lead to better tracking without any imperative blind spots. The system may use the input from the visual surveillance to analyze sensor-triggered alarms. Alarms from sensors are often misinterpreted, which is why the system rechecks them with visual data before sending them forward. This reduces the false alarm rate by over 90 percent on average.

Smart Retail

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The retail sector has seriously been expecting a digital revolution since the past couple of years. However, since there were numerous challenges involved in the process, retailers shied away from the innovation. The challenges relate to the downtime in deployment and the implementation of electronic price tags.

The idea behind smart retail helps to bring smart inventory management to the retail business and envisions giving retailers the feasibility they need in their business. A smart retail imitative will have the capabilities to integrate services, switches, and storage devices for supporting the mainstream visualization software.

Moreover, theft and inventory loss is one of the most concerning facts for most store-owners, and a smart retail cloud solution will keep a track of all such instances and alert the requisite agency if such an anomaly does happen. With the cloud support behind their back, smart retail providers will be able to reach out to customers on a personal basis and give them a personalized experience based on their past history and other factors.

Smart Supply Chain

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The smart supply chain endeavors to ensure optimal delivery patterns in the supply chain world of today. Supply chain is a growing industry that is embracing the changes of the digital transformation, and we will soon start seeing how much it is developing for the better. The industry disruption has happened, and the use of smart Internet resources has ensured a decrease in many of the errors that usually occur in supply chain. A smart supply chain system will take care of all the different anomalies in the process, and ensures that they are predicted through different insights, and action is taken to limit these problems.

The supply chain process should be clear of all hindrances, and through proper tracking of all goods organizations can now have a smart eye on their delivery networks. A smart supply chain network would effortlessly track all items and ensure that all goods go through the network without any hindrances.

Smart Manufacturing

The smart factory, or the concept of Industrial 4.0, connects human beings with the intelligent system of robots to create unparalleled augmentation. A fully connected factory would be able to use smart methods of production to increase their production capabilities and limit the different wastes they usually go through.

The use of smart manufacturing would generate real time analysis on the quality of the products from production to the market. The system will be able to identify parameters that have an impact on quality, and would be able to implement methods of automatic data collection. Manufacturers can use online cloud diagnosis to gather real-time and expert resources. Moreover, the machine learning engine will use the system placed inside it to quickly locate faults and present a solution for it. This efficient detection of faults can be helpful, as it saves a lot of downtime and ensures that manufacturers can focus on production rather than wasting time on errors.

After having a look at the five use cases I’ve mentioned above, and the work Huawei is doing in this regard, one can tell that the intelligent world really is upon us. And, propelling this intelligent world of smart networks forward is none other than Huawei.


Ronald van Loon is a globally recognized Influencer and thought leader in Big Data, IoT, Business Intelligence, Data Science, Predictive Analytics, Artificial Intelligence, and Machine Learning. Consultant and Advisory Board Member for leading professional training company Simplilearn, Director at Adversitement, an European data & analytics consultancy firm, frequent public speaker and webinar host. He has over 20 years of experience in driving new business startups towards realizing goals and increasing profitability in digital transformation efforts, and directing enterprise and SAAS software sales across diverse industries. As the founder of the Digital Transformation Institute, he collaborates with C-level executives from renowned organizations, and manages business engagements across the American and EU markets. His unique industry perspective and experience has extended to writing contributions across numerous leading sites such as The Guardian, Datafloq, ReadWrite and Data Science Central.

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