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NB-IoT: Narrowband Internet Of Things with a wide range of Applications

With the growing number of Internet of Things (IoT) applications, the need for transmission paths and techniques is also increasing. Recently discovered, Narrowband-Internet of Things (NB-IoT) is a standard-based low power wide area (LPWA) technology developed to connect a wide range of new IoT devices and services. NB-IoT significantly improves the power consumption of user devices, thus the “things” can send/receive data without establishing a default bearer.

NBIOT CAPABILITIES

This new concept has enabled IoT infrastructures to have the battery life of sensors increased to up to 10 years. Especially true for sensors used in remote areas and without power. Prime example: weather sensors in agriculture – they are predestined for the use of low-consumption, battery-powered Narrowband IoT modules. In a typical broadcasting behavior, these usually last around ten years with two standard AA batteries. Or smart metering: gas and water meters are usually installed in basements where dead spots can occur better mobile radio reception. In addition to battery life, NB-IoT network also provides adequate reception throughout the building, creating the prerequisite for reliable meter reading from a distance.

 

Standardized Radio Technology

 

NB-IoT is part of the Low Power Wide Area Network (LPWAN) and was developed as standard by the 3GPP co-operation, a worldwide collaboration of standardization committees for mobile communications. NB-IoT ensures interference-free reception in buildings and enables low-cost and area-wide networking of devices with low energy requirements, with a range of more than ten kilometers. The data transfer rate is up to 250 kbps, with a bandwidth of 180 kHz. Most NB-IoT modules transmit only once an hour or daily smaller data packets.

The advantages of NB-IoT over other LPWAN standards such as Long Range Wide Area Network (LoRa) are higher signal strength and scalability. NB-IoT enables a significantly greater number of connections per radio cell and transmits data directionally throughout. Also compared to the GSM standard, NB-IoT offers higher coverage and better building penetration. Analysts estimate that there will already be five billion LPWAN connections across the globe in five years.

 

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Narrowband networks for Europe

 

Deutsche Telekom and Vodafone operate end-to-end networks throughout Europe for narrowband IoT communications on 800 and 900 MHz frequencies in operation. As for Deutsche Telekom, the national rollout in the Netherlands has already been completed. In Austria, Croatia, Greece, Hungary, Poland and Slovakia, Telekom is extending its existing NB-IoT supply to other cities. In Germany, a number of metropolitan regions are already connected – the area-wide expansion is to be completed by the end of 2018. In the other hand, Vodafone has announced their launch for Australia, New Zealand, and Germany.

 

NB-IoT in the field test

 Target industry for NB-IOT

The application possibilities for NB-IoT are not only limited to smart meters or the monitoring of forests, fields, and livestock in forest and agriculture. The use of NB-IoT also promises great benefits in container tracking and in the monitoring of gas tanks in transport and logistics as well as pallets and pipelines in the industry. In addition, energy service providers, for example, who use smart building solutions to collect and process consumption data – and motorists who save time and fuel with smart parking solutions, also gain practical advantages.

The city administration in Hamburg will digitize about 11,000 public and private parking lots and parking garages using NB-IoT technology in order to set up a smart parking solution. Sensors in the parking lots will communicate in real time via an app with the drivers, who are then briefed on the shortest route to the nearest free parking spot. The introduction of smart parking is also in the offing in other German cities. There, the driver should even be given the opportunity to reserve parking for a specific time in advance.

#GDPR: Does your Business comply with the new #DataProtection requirements?

Our data is one of our most prized asset. As an organisation, our clients entrust us with this data. In our vision data and its security must be critical for each operations, innovation and competitive position. As an enterprise, you can be more successful in your respective line of business when you manage to get your data security right.

 

Therefore, the EU’s GDPR brings data protection legislation into line with new, previously unforeseen ways that data is now used. This wide Basic Data Protection Act (EU-GDPR) can be very complex and opaque. IBM Security has developed a five-phase framework to help organizations implement the mandatory regulation from 2018 onwards.

 

In addition to that, IBM Security has also worked in the past to create a service that will help companies prepare for the upcoming GDPR. Instead of accessing complicated, multi-dimensional matrices or diagrams, a simple framework was compiled.

 

Step by Step GDPR

 

Each journey begins with the first step, and so IBM Security has also extracted five separate steps for the journey to GDPR’s expertise. This allows companies to fallow a step by step guidelines through the five, to the point, phase framework. The framework also takes account of the fact that each company will have its own needs during the process. Therefore, it is designed as simply as possible.

 

Based on the main focus of the GDPR, the five steps within the framework are subdivided into the areas of data protection and security. Since both areas are closely interwoven, IBM Security has selected the following area definitions for us: In the field of data protection everything is about what data is collected and why they are managed, shared, processed and moved around. Security, on the other hand, is much more concerned with how data can be controlled and protected. This also means that within a company, security can be achieved without data protection, but no data protection can be guaranteed without adhering to security standards.

 

The five-phase framework for the GDPR

IBM’s GDPR Framework

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The approach for a basic GDPR expertise in five steps is the fallowing:

 

Phase 1: this first step is related to company assesses. It is necessary to examine which of the collected and stored data are affected by the GDPR guidelines. A plan is then drawn up to reveal this data.

 

Phase 2: is about the company’s own approach, a solid plan that governs the collection, use, and storage of data. This approach is based on the architecture and strategy on the basis of which risks and company objectives are exploited. Designing privacy, data management and security management are top priority.

 

Phase 3: the company’s way of doing are rethought. It is important to understand that the data gathered so far are as valuable to the people as they are to the company. At this point, sustainable data protection guidelines have to be developed. However, it is also about introducing safety controls and administrative controls (also: TOM – Technical and Organizational Measures) and appointing a Data Protection Officer so the GDPR training can be delivered to the right persons for the job.

 

Phase 4: in this phase, companies are ready to implement their data protection approach. Data streams are continuously checked from this phase, and access to data is monitored. In addition, security checks are performed and unimportant data is deleted.

 

Phase 5: the company is ready to comply with the GDPR guidelines. From then on, all requests for access, correction, deletion and transmission of data are met. In addition, by documenting all activities, the company is prepared for possible audits and can, in the case of a data lap, inform regulators and affected parties.

 

Above is the direct approach of IBM Security to make companies fit for GDPR. The way to get there is not always easy, but the framework should at least show it more clearly. Companies are themselves responsible for compliance with the applicable regulations and laws, which are included in the EU-GDPR. Note that IBM does not provide any legal advice and does not warrant that IBM’s services or products comply with applicable laws or regulations.

The #BigData Evolution and Revolution in 2017

Big data, a buzz word of overloaded information, gathers a set of technologies and practices for storing large amount of data and analyse in a blink of an eye. Nowadays, Big data is shaking our ways of doing business and the ability to manage and analyse this data depends on the competitiveness of companies and organisations. The phenomenon of Big Data is therefore considered one of the great IT challenges of the next decade.

 

4 major technological axes are at the heart of the digital transformation:

 

  • Mobile and Web: The fusion of the real and virtual worlds,
  • Cloud computing: The Web as a ubiquitous platform for services,
  • Big Data: The data revolution,
  • Social empowerment: The redistribution of roles.

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Interconnected and feeding each other, these 4 axes are the foundations of digital transformation. Data, global or hyperlocal, enables the development of innovative products and services, especially through highly personalised social and mobile experiences. As such, data is the fuel of digital transformation.

The intelligent mobile terminals and the permanent connectivity form a platform for social exchanges emergence new methods of work and organisation. Social technologies connect people to each other, to their businesses and to the world, based on new relational models where power relations are profoundly altered. Finally, cloud computing makes it possible to develop and provide, in a transparent way, the information and services needed by users and companies.

According to Eric Schmidt, Chairman of Google, we are currently creating in two days as much information as we had created since the birth of civilisation until 2003. For companies, the challenge is to process and activate the available data in order to improve their competitiveness. In addition to the “classical” data already manipulated by companies and exploited by Business Intelligence techniques, there is now added informal data, essentially stemming from crowdsourcing, via social media, mobile terminals and, increasingly via the sensors integrated in the objects.

 

Why Big and why now?

 

3 factors explain the development of Big Data:

    • The cost of storage: the latter is constantly decreasing and is becoming less and less a relevant criterion for companies. Cloud computing solutions also allow for elastic data management and the actual needs of enterprises.
    • Distributed storage platforms and very high-speed networks: with the development of high speed network and cloud computing, the place of data storage is no longer really important. They are now stored in distinct, and sometimes unidentified, physical locations.
    • New technologies for data management and analysis: among these Big Data-related technological solutions, one of the references is the Hadoop platform (Apache Foundation) allowing the development and management of distributed applications addressing huge and scalable amounts of data.

 

These 3 factors combined tend to transform the management and storage of data into a “simple” service.

 

Sources of Data: 

 

To understand the phenomenon of Big Data, it is interesting to identify the sources of data production.

 

    • Professional applications and services: these are management software such as ERP, CRM, SCM, content and office automation tools or intranets, and so on. Even if these tools are known and widely mastered by companies, Microsoft has acknowledged that half of the content produced via the Office suite is out of control and is therefore not valued. This phenomenon has experienced a new rebound with the eruption of e-mail. 200 million e-mails are sent every minute.
    • The Web: news, e-commerce, governmental or community-based websites, by investing the Web, companies and organizations have created a considerable amount of data and generated ever more interactions, making it necessary to develop directories and search engines, the latter generating countless data from users’ queries.
    • Social media: by providing crowdsourcing, Web 2.0 is at the root of the phenomenal growth in the amount of data produced over the past ten years: Facebook, YouTube and Twitter, of course, but also blogs, sharing platforms like Slideshare, Flickr, Pinterest or Instagram, RSS feeds, corporate social networks like Yammer or BlueKiwi, etc. Every minute, more than 30 hours of video are uploaded to YouTube, 2 million posts are posted on Facebook and 100,000 Twitter tweets.
    • Smartphones: as the IBM specifies, the mobile is not a terminal. The mobile is the data. There are now 4 times more mobile phones in use than PCs and tablets. A “standard” mobile user has 150 daily interactions with his smartphone, including messages and social interactions. Combined with social media and Cloud Computing services, mobile has become the first mass media outlet. By the end of 2016, Apple’s App Store and Google Play had over 95 billion downloaded apps.
    • IOT: mobile has opened the way to the Internet of Things. Everyday objects, equipped with sensors, in our homes or in industry, are now a potential digital terminal, capturing and transmitting data permanently. The industrial giant General Electric is installing intelligent sensors on most of its products, from basic electrical equipment to turbines and medical scanners. The collected data is analysed in order to improve services, develop new ones or minimise downtime.

 

Data visualization:

 

An image is better than a big discourse … Intelligent and usable visualization of analytics is a key factor in the deployment of Big Data in companies. The development of infographics goes hand in hand with the development of data-processing techniques.

 

The data visualization allows to:

 

    • show “really” the data: where data tables are rapidly unmanageable, diagrams, charts or maps provide a quick and easy understanding of the data;
    • reveal details: data visualization exploits the ability of human view to consider a picture as a whole, while capturing various details that would have gone unnoticed in a textual format or in a spreadsheet;
    • provide quick answers: by eliminating the query process, data visualization reduces the time it takes to generate business-relevant information, for example, about the use of a website;
    • make better decisions: by enabling the visualization of models, trends and relationships resulting from data analysis, the company can improve the quality of its decisions;
    • simplify the analyzes: datavisualizations must be interactive. Google’s Webmaster tools are an example. By offering simple and instinctive functionality to modify data sets and analysis criteria, these tools unleash the creativity of users.

 

Big Data Uses: 

 

The uses of Big Data are endless, but some major areas emerge.

 

Understand customer and customize services

This is one of the obvious applications of Big Data. By capturing and analyzing a maximum of data flows on its customers, the company can not only generate generic profiles and design specific services, but also customize these services and the marketing actions that will be associated with them. These flows integrate “conventional” data already organized via CRM systems, as well as unstructured data from social media or intelligent sensors that can analyze customer behavior at the point of purchase. Therefore, the objective is to identify models that can predict the needs of clients in order to provide them with personalized services in real time.

 

Optimize business processes

Big Data have a strong impact on business processes. Complex processes such as Supply Chain Management (SCM) will be optimized in real time based on forecasts from social media data analysis, shopping trends, traffic patterns or weather stations. Another example is the management of human resources, from recruitment to evaluating the corporate culture or measuring the commitment and needs of staff.

 

Improve health and optimize performance

Big Data will greatly affect individuals. This is first of all due to the phenomenon of “Quantified Self”, that is to say, the capture and analysis of data relating to our body, our health or our activities, via mobiles, wearables ( watches, bracelet, clothing, glasses, …) and more generally the Internet of the Objects. Big Data also allow considerable advances in fields such as DNA decoding or the prediction of epidemics or the fight against incurable diseases such as AIDS. With modeling based on infinite quantities of data, clinical trials are no longer limited by sample size.

 

Making intelligent machines

The Big Data is making most diverse machines and terminals more intelligent and more autonomous. They are essential to the development of the industry. With the multiplication of sensors on domestic, professional and industrial equipment, the Big Data applied to the MTM (MachineTo Machine) offers multiple opportunities for companies that will invest in this market. Intelligent cars illustrate this phenomenon. They already generate huge amounts of data that can be harnessed to optimize the driving experience or tax models. Intelligent cars are exchanging real-time information between them and are able to optimize their use according to specific algorithms.

Similarly, smart homes are major contributors to the growth of M2M data. Smart meters monitor energy consumption and are able to propose optimized behaviors based on models derived from analytics.

Big Data is also essential to the development of robotics. Robots are generating and using large volumes of data to understand their environment and integrate intelligently. Using self-learning algorithms based on the analysis of these data, robots are able to improve their behavior and carry out ever more complex tasks, such as piloting an aircraft, for example. In the US, robots are now able to perceive ethnic similarities with data from crowdsourcing.

 

Develop smartcities

The Big (Open) Data is inseparable from the development of intelligent cities and territories. A typical example is the optimization of traffic flows based on real-time “crowdsourced” information from GPS, sensors, mobiles or meteorological stations.

The Big Data enable cities, and especially megacities, to connect and interact sectors previously operating in silos: private and professional buildings, infrastructure and transport systems, energy production and consumption of resources, and so on. Only the Big Data modeling makes it possible to integrate and analyze the innumerable parameters resulting from these different sectors of activity. This is also the goal of IBM’s Smarter Cities initiative.

 

In the area of ​​security, authorities will be able to use the power of Big Data to improve the surveillance and management of events that threaten our security or predict possible criminal activities in the physical world (theft, road accidents , disaster management, …) or virtual (fraudulent financial transactions, electronic espionage, …).

Internet of Objects Will Reach €250 Billion in 2020

BCG expects that by 2020, € 250 billion will be devoted to IoT technologies, products and services. Among the studies examining the adoption of new technologies and investments in the IoT sector, the recent market analysis of the Boston Consulting Group offers a whole new vision.

The total number of IOT connections is expected to grow from 6 billion in 2015 to 27 billion in 2025, an annual growth rate of 16%, according to Machina Research’s annual report.

The B2B market for the Internet of Things (IoT) is increasing day by day. Software-Hardware vendors, Service providers are all in competition to get the biggest market share. And to get the biggest piece of cake, every IOT provider’s concern is to know where are the growth opportunities?

 

Annual growth of at least 20% in the overall market

 

The two main sources of growth in the IoT market will be investment in services and applications. Here are the main points raised in the new BCG market study. Between 2015 and 2020, BCG expects revenues from all IoT sectors to grow at an annual rate of at least 20%. B2B customers are more focused on services, IoT analysis and applications, making them the fastest in terms of growth. By 2020, these layers will have captured more than 60% of the IoT growth. Moreover, each of these layers is expected to generate 60 billion euros of expenditure by 2020.

SERVICE AND IOT APPLICATIONS

 

The ten most valuable business cases for business leaders

 

To spend €250 billion in IoT,  companies need to know which IoT applications have the potential to deliver more value.

Study reveals that predictive maintenance, production optimaization and automatic inventory management are the three most commonly used cases that will drive the IoT market by 2020. Business leaders are wondering how the IoT can help their businesses increase customer satisfaction, improve service quality, support new business models and reduce costs.

With those above mentioned use cases, BCG conducted a thorough analysis. They found another ten most valuable uses include the ability to use sensors to predict when machines will need to be repaired, Self Optimising Production, Automated Inventory Management, Remote Patient Monitoring , Smart Meters, Activity Trackers, Distributed Generation and Storage, Fleet management, Connected Cars and Response to Demand. The following chart compares the ten use cases by expected level of spending until maturity.

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IOT SPENDING 2020

 

A more common digital transformation in companies that do not use technologies

 

By 2020, 50% of expenditures will be related to manufacturing, transportation, logistics and utilities. BCG predicts that IoT will have an even more transformative effect on non-technology-based industries. The success of this transformation depends heavily on secure, scalable, and reliable integration solutions, encompassing cloud systems and platforms.

Among the businesses to be monitored in this area, there is also more and more customers using real-time integration to connect existing ERPs, on-premises systems to cloud applications and platforms. This configuration allows for faster and more reliable operational performance.

IOT SPENDING BY INDUSTRY

 

Tech companies are becoming IoT suppliers

 

According to the BCG study, 40% of customers prefer to use traditional, existing and already well established software to implement their IoT solutions. This represents a challenge for large industrial companies whose future depends on their ability to transit to IoT suppliers. For example, General Electric’s Predix platform is an end-to-end industrial operating system to help its customers increase their operational efficiency. GE has made it clear that it is considering becoming a world leader in industrial IoT (IIoT) and being a major supplier to the IoT market.

Siemens is positioning itself in a similar strategy with its MindSphere platform. Azure IoT Suite from Microsoft, SAP Cloud HANA, Cloud IBM Watson and Cisco IoT System are examples of companies that redefine their business models as IoT providers. Device manufacturers such as Bosch and Intel are reinforcing to offer complementary hardware and operating systems to consolidate the IoT ecosystem of customers.

Today’s IoT customers are looking for end-to-end solutions. IOT vendors can only be successful if the connected things, communications, backbone, and security layers work seamlessly with the top layers. IoT providers don’t necessarily have to master all the components within the technology stack, but it is essential to takes into account the customer’s desire for an end-to-end solution.

Contactless / Mobile Payment Statistics in Belgium

Mobile Payments soar as Europe embraces new ways to pay. Not only Europe but worldwide countries are adapting numerous innovative and alternative payment methods, such as Contactless payment, Apple Pay and Samsung Pay. These innovative payments methods are gaining huge success. In Belgium, for example, contactless payment is attracting more and more consumers. Worldline 2016 report shows that Belgians are paying less with cash, and are using their card even for transactions between 1€-10€.

 

When looking at the top ten countries in Europe where mobile payments are most dominant, we have 2 categories, developing markets such as Turkey and Romania, which have been leaving traditional payment methods behind to adopt new technologies faster; and developed markets – particularly the Nordics – which are evolving to new technologies at differing paces. In the UK, nearly three-quarters (74%) of the people surveyed are Mobile Payments users, and in Belgium it’s 75%.
mobile payments

The research also shows that mobile banking activity is increasing across all age groups. For the first time, more than half of European respondents in all age brackets are using mobile banking. With a growth rate of 33%, the highest growth rate is the 55-64 year olds, while profiles between 18-34 have a growth rate of 24%.
Mobile Payment Europe

 

It’s in 2014 that Mastercard Belgium has revealed contactless payment system that allows smartphone users to make payments using their NFC equipped devices, smartphone or with smart watch, as this highly protected technology can be installed everywhere. And by the end of 2016, nearly one billion transactions of this type were booked by VISA and Mastercard.

Banks, such as, BNP Paribas Fortis, ING, Belfius, Beobank have decided to join this development and have already offered Bancontact debit card, Maestro, Visa and Mastercard cards equipped with NFC (Near Field Communication) to their clients.

 

With all transactions together, Worldline recorded a 10% increase in payments by credit card: Belgians paid 1.96 billion euros by Bancontact debit or credit card in 2016. This is 160 million more than in 2015. Of these payments, 71% come from a Bancontact card. On the other hand, Belgium is far behind in the area of ​​contactless payment. Even if banks are offering cards adapted to this system, as a result, less than 3% of transactions are recorded via this new system, much less than in the Netherlands, where 25% of electronic payments are made with a contactless card.

 

Belgium is really at the beginning of this system, so we do not doubt that the percentage of contactless payments in Belgium will increase over the years. At present, half of Worldline’s customer outlets are equipped with contactless terminals. And 90% should be by the end of the year, predicted Christophe Zehnacker, Head of Strategic Digital Partnerships at MasterCard. The goal of Worldline is to equip all of its customers with these new generation machines. Waiting for the arrival of the payment by smartphone, always via these terminals. However, training of consumers and vendors in this practice still needs to be done.

 

Apple Pay and Android Pay in Belgium

 

Although mobile payments have been an established trend for the past five years, they haven’t really come out on top. Its only in 2016 that smartphone payments became a reality. Whereas mobile payments have always been a fascinating topic, 2017 is set to be a defining year for their providers in Belgium.

 
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From the moment the software allowing contactless transactions is activated in the terminal, it also works for smartphones or other devices equipped with NFC technology. Today, it is already possible to pay without introducing our card into the reader. The contactless payment system via a smartphone is now functional in Belgium on via Android pay. A transaction of less than 25 euros does not require any confirmation of pin code.

 

According to Christophe Zehnacker, the applications of contactless technology are very numerous. In London, for example, you can use your bank card or other NFC connected device to take public transport without having to bring a physical ticket. At the end of the day, an average of trips is then made to determine the most advantageous price to pay for them. This possibility should spread abroad and discussions are under way to implement it in Belgium.

 

Apple Pay:

 

Apple Pay is a contactless mobile payment system that was launched in October 2014. It relies on a transaction security system, preventing the cardholder from entering data related to it (PIN code, cryptogram) reinforced by the use of fingerprint authentication specific to the iPhone 6 and plus. It allows to make secure purchases in stores, in apps, and on the web and send and receive money from friends and family right in Messages.

 

Apple has to negotiate with the local merchants and banks in each country to impose his service out of United States. The process of spreading the Apple Pay system abroad is similar to a marathon since the Californian manufacturer has to face a specific banking and market context for each country. Negotiations with banks are likely to drag on, delaying the launch of Apple’s service for example in Belgium. In fact, no information seems to confirm the installation of this service in the near or distant future in Belgium. However, with the arrival of Android Pay, Apple could react by letting its Belgian users benefit from its mobile payment service asap.

 

Android Pay:

 

You already use your phone for just about everything. Now you can pay with it, too. Just add your credit, debit, loyalty, and gift cards to Android Pay, and start shopping in stores, in apps, and online. To be able to use this method of payment, it is necessary to have an Android smartphone which embeds a recent version of this operating system (at least KitKat 4.4+) and an NFC chip (in order to make a contactless payment). If so, simply install the Android Pay app and bind the credit card in question (via a simplified SMS authentication process). Then, to pay, simply approach your smartphone from a payment terminal where appears the symbol without contact and the trick is played.

 

In march 2017, contactless payment via smartphone has been introduced in Belgium. While Belfius was the first bank to say that its customers would have access to contactless payment from April, BNP Paribas Fortis was first to react. As of today, BNPPF customers, including those of Fintro and Hello Bank, – who hold a Visa credit card or a MasterCard (about 250,000 people) – can pay for their purchases via Android Pay. This possibility will surely extend later to the holders of a debit card (more than 750,000 customers).

 

According to BNPPF, more than 85,000 payment terminals already allow this type of payment in Belgium, both for small retailers and major brands such as Carrefour, Delivroo, H & M, McDonald’s, Media Markt, Medi-market, Quick, Uber or Vueling. In addition, 3.2 million terminals in Europe are already compatible with this payment solution.

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