#NFC-Technology: Discover the Value of NFC Application For Your #InternetOfThings

NFC APPLICATIONS

Smartphone is increasingly present in our environment. For many of us, it wakes us up in the morning, allows us to know how to dress after checking the weather, accompanies us in transportation, allows us to stay in touch with real world and many other activities related to each of us. In addition to that we are purchasing more and more products and services with our smartphones and our interaction is growing with our environment, home, car or city. And as you know, all this carries the generic name of IOT.

 

With performing all the previously mentioned activities, we leave our traces on the Internet. We leave information on different social medias. Only with the simple use of Gmail, free for the user, we give authorization to Google to use the information contained in our emails. By comments on blogs, on Amazon, on TripAdvisor, on Twitter, pictures on Flicker or Instagram, we therefore share much more information than we think, again, more or less voluntarily, and all this is enriching databases under the generic term of big data. This information is making the economic happiness of many companies, the first being Google, Apple or Amazon. This IOT is mainly an Internet of the data, we give our data that is recovered and exploited by others.

 

As more things are getting connected, concerns over data privacy and security are growing. Using NFC as a communication method can help resolve some of these concerns.

 

This is where the NFC comes in.

 

NFC (=Near Field Communication) technology was born thanks to the coupling of RFID (Radio Frequency Identification Technology) with smart cards. RFID is a contactless identification system that has been used for a long time for traceability purposes. It enables simplified transactions, data exchange, pairing, wireless connections and convenience between two objects when in close proximity to one another (about 10 centimeters). Because the communication is one-to-one and requires such close proximity, data privacy is more inherent that with other wireless approaches.

 

The choice of NFC technology on mobile phones is guided by several motivations related to the consumer use of the mobile phone at the present time and by various types of NFC applications conceivable in the field of mobile banking, creative marketing, health. Indeed, in recent years the integration of several technologies (4G, 4G+ networks, GPS, NFC, etc.) into the mobile phone has transformed it into a multiservice tool that cannot be ignored in our daily lives.

 

Today, NFC technology is gaining interest from manufacturers, particularly those in the telephony, IOT and sensors sector, who have integrated it into many consumer Smartphones. There are many applications ranging from electronic payment to time-stamping and localization.

 

Communication Modes of NFC:

 

NFC has 3 communication modes: Card emulation mode, The reader mode and Peer-to-Peer.

 NFC COMMUNICATION MODES

Card emulation mode: In this mode, any NFC enable device, can be used to make transactions instead of using any contactless card. In the case where the NFC enable device is a compatible mobile phone, the SIM card of the operator can be used as a security element by storing encrypted information. There are many different sort of card-type applications, such as, contactless payments, identification card, loyalty card, access control, motel pass cards etc.

 

The reader mode : The mobile terminal becomes a contactless card reader (active mode) or “radio labels” (electronic tags). This mode allows you to read information from various NFC-enables smart objects, only by approaching your mobile phone in front of electronic tags placed on the street, on bus shelters, monuments, posters … or on packages, products = smart advertising. Not only reading but it’s also possible to write information to these smart information sources using the right NFC enabled device.

 

Peer-to-Peer Mode: This mode allows two NFC enabled devices to exchange information, such as vCards, photos, videos, tickets, etc. A device with NFC technology is capable of exchanging information with contactless smart cards but also with other devices equipped with this technology. In peer-to-peer mode, one of reader/writer behaves as a tag, creating a communication link. Using NFC in this mode is equal to having a secure network in your pocket that you can use in any location with peace of mind.

 

 

Study Case: Hotel Room Access

 

Let’s take a first mobile phone user, who usually travels and book hotels for his stay. This person has a SIM card in which an NFC application is installed. His mobile operator, in Belgium, told him that he could access NFC devices thanks to his SIM card because it has a SIM-Centric technology.

 

Our user thus travels on business in different regions of Belgium. The hotels in which he stays ask him to pass his phone in front of a terminal in order to obtain a digital key. So, his phone can be used as a key.

Afterwards, our user goes to a conference in Germany and also wants to check-in in a hotel room. At the time of registration, the reader accepts his SIM card but informs him that his operator will charge him a fee due to this service outside Belgium.

 

Upon returning from the conference, the user asks his operator to change the billing-plan so that he does not have to pay any fees in the future and the operator tells him that this is impossible because at the moment the service costs the operator.

 

In another case our user could book his hotel room online. He would then receive on his mobile phone an electronic key that would be valid throughout the stay and that, when used with the NFC chip and the appropriate application, would allow him to access his room by presenting the mobile in front of the door equipped with an NFC reader.

 

The Clarion Hotel in Stockholm, helped consumers to access directly their rooms and avoid queues by replacing all room keys in 2011 with digital keys for customers already equipped with NFC devices. Same approach for check-out, made with a simple touch between their phones and the lobby reader. 60% of users said they had saved more than ten minutes and 80% would use the system again if they had the opportunity while the hotel was able to reassign check-in staff while removing keys replacement problems.

 

Transport users already use their phones as boarding passes and we witness NFC payment systems in restaurants, taxis, shopping malls or distributors. In hospitals, offices, university campuses, we can use our phones to enter buildings, make purchases, use transportation and identify ourselves. NFC phones is even being used to provide physicians with access to your medical history.

 

Industry experts predict that the NFC will continue to revolutionize our lives in the years to come. Our daily checklist – “keys, wallet, phone” – is about to shorten. It will not take long before you see the functionality of these three objects integrated into an NFC compatible handset.

#Data : An Important Piece To “The #InternetOfThings” Puzzle

Internet of things

Every day, connected objects generate billions of information that must be processed and analyzed to make them usable. Thanks to the development of connectivity on multiple devices, the arrival of inexpensive sensors and the data inflation they transmit, IoT have took irreplaceable place in our daily lives. IDC forecasts worldwide IOT market to grow more than $7,1 trillion by 2020. The number of devices will more than double from the current level, with 40.9 billion forecasted for 2020.

 

These very serious estimations do not, however, take into account the full extent of this digital revolution. If the design of connected objects is the showcase of the IoT and its vast possibilities, it still requires strong skills on the processing of the exploited data collected from sensors terminals, machines and platforms to interpret it in order to boost productivity and increase performance.

 

Just as in jewel market, the big winners are gold/diamond dealers. In the IOT domain, this role is played by companies able to manage the mountains of data generated by these connected devices because the collected data is profoundly changing the way businesses used to operate. Almost every day, new applications are imagined, with consequences at all levels of organizations because the real added value of connected objects only comes from the uses and the ability of companies to create new services.

 

Several studies demonstrate that companies are still facing a gap between the collection of new data and the presentation of the analyzed information so that it can be understood and explored in great detail, whether it is for a connected house, connected car, a portable terminal or an industrial solution.

 

Here below is the list of tips companies must consider before every IOT project implementation:

 

  • Sort valuable information among a big volume of data:
    Exploiting IoT means generating a huge amount of data. The challenge for companies is to filter the stray information and find the ones that are really important. This is why many companies integrate a flow analysis and a process analysis. The first provides real-time information from data streams such as navigation paths, logs, measurement data, and the second is to take machine data captures.

 

  • Set and manage priorities:
    The IoT implies different levels of necessity in terms of urgency and latency. It’s important to take this into account because one expects to interact with the “real world” in real time. For example, sensors in mines must trigger an alert as soon as they detect the presence of toxic gases. Similarly, other IoT information may not be needed “just in time”, such as regularly collected data to further refine and improve the predictive model itself. This data can potentially be collected and processed several times a day, for example.

 

  • Design considerations for IoT technologies:
    Information security, privacy and data protection should systematically be worked at the design stage. Unfortunately, in many cases, they are added on later once the intended functionality is in place. This not only limits the effectiveness of the added-on information security and privacy measures, but also is less efficient in terms of the cost to implement them. Although industries are actively working to address this, it stays a major IoT problem.

 

  • Cross the Data:
    In the case of preventive operations, for example, companies want to collect data from objects (such as smart meters) and cross them with relevant relational data, such as maintenance agreements, warranty information and life cycle components. It is therefore essential that companies can rely on the data from which they make important decisions.

 

  • Tracing the data:
    The increased collection of data may raise issues of authentication and trust in the objects. In addition, it should also be noted that by using information collected about and from multiple objects related to a single person, that person may become more easily identifiable and better known. So in order to fully exploit the potential of IoT, tools must be much more flexible and allow users to shape and adapt data in different ways, depending on their needs or those of their organization.

 

Collaboration between the IT team and business experts is more critical than ever before in analyzing IoT data. In addition to those who understand the data, it takes experts to analyze gathered data from specific devices or sensors. While any analyst can understand the data in the context of a company’s performance indicators, only a data specialist would be able to explain what kind of hidden data contains a wealth of information, and how with the right tools, companies can unleash that potential.

Secure #IOT: and if #BigData was the key?

By 2020, the planet will have more than 30 billion connected objects according to IDC. The security of these objects is a major discussion topic. Ensuring the security, reliability, resilience, and stability of these devices and services should be a critical concern not only for manufacturer, companies using them but also for the end user. Security solutions abound on the market, but has anyone just thought of Big Data?

 

The Internet of objects is third industrial technological revolution, enabling companies to work smarter, faster and of course in a more profitable way. IOT represents endless and challenging opportunities, and above all, it shows that a full-fledged ecosystem is being created. This is very different from big data, because most companies consider big data to be static; the data is generated in logs that have utility only where they are, because there is no connectivity. With the Internet of objects, the data is mobile.

 

A good example of the potential created by the Internet of objects is the work done by Deloitte and a medical device manufacturer in order to optimize the management of chronic diseases in patients with implanted devices. They have established remote data transmissions from patient pacemakers. Pacemakers communicate via Bluetooth at low frequency and contact the healthcare provider using a handset. With this connected object, the physician can obtain real time information to better determine the treatment protocols.

 

However, there’s one critical issue that still need to be addressed to facilitate the Internet of objects adoption by every organization, and this issue concerns the IOT security as well as all the elements that makes it up. With billions of objects and terminals connected to the Internet, including cars, homes, toasters, webcams, parking meters, portable objects, factories, oil platforms, energy networks and Heavy equipment, the Internet of objects abruptly multiplies the surface of threats, increasing the number of vulnerabilities and creating millions of opportunities for threats and attacks.

IOT Risk Management

The recent DDoS attack illustrates the alarming dangers and risks associated with unsecured devices and components of Internet of objects. This should certainly have the effect of raising awareness for businesses and individuals, and should lead them to take actions for the security of Internet of objects. According to a recent study released by computer security firm ESET and the NCSA (cyber security alliance), about 40% of respondents in the US have no confidence in the security and privacy of connected objects. So these security issues will remain at the forefront as long as manufacturers will not seriously removed security vulnerabilities, and companies won’t increase their internal cybersecurity measures to effectively detect and counter future security threats. Although it is necessary to take into account many parameters to secure the Internet of the objects (security of the terminals, network security, etc.), one of the key pieces of the puzzle is to determine how to take advantage of massive quantities of data continuously generated by the devices.

 

A data-driven approach to prevent IOT cyber attacks

 

Big data plays a crucial role in protecting a company and its assets against cyber threats. The future of the fight against IOT cybercrime will be based on the use of data for cybersecurity. According to a recent Forrester report, “Internet object security means monitoring at least 10 times, if not more than 100 times more physical devices, connections, authentications and data transfer events as today. Having a better ability to collect event data and intelligently analyze them through huge data sets will be crucial to the security of connected systems. “

Given all this, companies need to think about these two following things to prepare for this new era …

 

The first is that companies need to rethink the security perimeter. Recent attacks that have targeted connected objects have made clear that the “security perimeter” is now more conceptual than physical. The constantly evolving nature of our new hyperconnected world also leads to the constant evolution of threats. As the technical community continues to connect the world and contribute to innovations that improve home security, improve medical care and transform transport, it is clear that the hackers will seek to exploit these same innovations for harmful purposes. We need to rethink the perimeter of security as the corporate edge continues to expand beyond the traditional borders to which we were used to.

 

Then, the detection of the threats must adapt to the magnitude of the connected objects. The world continues to hyper-connect, the number of security events that any enterprise must store, consult and analyze are also increasing significantly. Having a cybersecurity platform capable of supporting billions of events is essential to ensure total supervision of all devices connecting to and accessing a company’s network. The use of technologies such as #MachineLearning for the detection of anomalies will allow companies to continue to detect suspicious behavior on the workstations without any human intervention. The ML scalability coupled with the Internet of the objects will be the key to the anticipated detection of the threats specific to IOT.

 

As we know, by 2020, the planet will have more than 30 billion connected objects. To get the most out of these revolutionary innovations and prevent them from becoming a nightmare in terms of IT security, organizations will have to learn how to manage, process, store, analyze and redistribute a vertiginous volume of data in real time and all of this by respecting security norms.. We increasingly depend on these devices for essential services, and their behavior may have global reach and impact.

 

Sources:

Big Data: 2017 Major Trends

big data trends 2017

Over the past year, we’ve seen more and more organizations store, process and exploit their data. By 2017, systems that support a large amount of structured and unstructured data will continue to grow. The devices should enable data managers to ensure the governance and security of Big Data while giving end-users the possibility to self-analyze these data.

Here below the hot predictions for 2017.

 

The year of the Data Analyst – According to forecasts, the Data Analyst role is expected to grow by 20% this year. Job offers for this occupation have never been more numerous before. Similarly, the number of people qualified for these jobs is also higher than ever. In addition, more and more universities and other training organizations offer specialized courses and deliver diplomas and certifications.

 

Big Data becomes transparent and fast – It is obviously possible to implement machine learning and perform sentiment analysis on Hadoop, but what will be the performance of interactive SQL? After all SQL is one of powerful approach to access, analyze, and manipulate data in Hadoop. In 2017, the possibilities to accelerate Hadoop will multiply. This change has already begun, as evidenced by the adoption of high performance databases such as Exasol or MemSQL, storage technology such as Kudu, or other products enabling faster query execution.

 

The Big Data is no longer confined to Hadoop – In recent years, we have seen several technologies developing with the arrival of Big Data to cover the need to do analysis on Hadoop. But for companies with complex and heterogeneous environments, the answers to their questions are distributed across multiple sources ranging from simple file to data warehouses in the cloud, structured data stored in Hadoop or other systems. In 2017, customers will ask to analyze all their data. Platforms for data analytics will develop, while those specifically designed for Hadoop will not be deployable for all use cases and will be soon forgotten.

 

An asset for companies: The exploitation of data lakes – A data lake is similar to a huge tank, it means one needs to build a cluster to fill up the tank with data in order to use it for different purpose such as predictive analysis, machine learning, cyber security, etc. Until now only the filling of the lake mattered for organizations but in 2017 companies will be finding ways to use data gathered in their reservoirs to be more productive.

 

Internet of Objects + Cloud = the ideal application of Big Data – The magic of the Internet of Objects relies on Big Data cloud services. The expansion of these cloud services will allow to collect all the data from sensors but also to feed the analyzes and the algorithms that will exploit them. The highly secure IOT’s cloud services will also help manufacturers create new products that can safely act on the gathered data without human intervention.

 

The concentration of IoT, Cloud and Big Data generates new opportunities for self-service analysis – It seems that by 2017 all objects will be equipped with sensors that will send information back to the “mother server”. Data gathered from IoT is often heterogeneous and stored in multiple relational or non-relational systems, from Hadoop cluster to NoSQL databases. While innovations in storage and integrated services have accelerated the process of capturing information, accessing and understanding the data itself remains the final challenge. We’ll see a huge demand for analytical tools that connect natively and combine large varieties of data sources hosted in the cloud.

 

Data Variety is more important than Velocity or Volume – For Gartner Big Data is made of 3 V: Large Volume, Large Velocity, Large Variety of Data. Although these three Vs evolve, the Variety is the main driver of investment in Big Data. In 2017, analysis platforms will be evaluated based on their ability to provide a direct connection to the most valuable data from the data lake.

 

Spark and Machine Learning makes Big Data undeniable – In a survey for Data Architect, IT managers and analysts, almost 70% of respondents favored Apache Spark compared to MapReduce, which is batch-oriented and does not lend itself to interactive applications or real time processing. These large processing capabilities on Big Data environments have evolved these platforms to intensive computational uses for Machine Learning, AI, and graph algorithms. Self-service software vendor’s capabilities will be judged on the way they will enable the data accessible to users, since opening the ML to the largest number will lead to the creation of more models and applications that will generate petabytes of data.

 

Self-service data preparation is becoming increasingly widespread as the end user begins to work in a Big Data framework – The rise of self-service analytical platforms has improved the accessibility of Hadoop to business users. But they still want to reduce the time and complexity of data preparation for analysis. Agile self-service data preparation tools not only enable Hadoop data to be prepared at source, but also make it accessible for faster and easier exploration. Companies specialized in data preparation tool for Big Data end-user, such as, Alteryx, Trifacta and Paxata are innovating and consistently reducing entry barriers for those who have not yet adopted Hadoop and will continue to gain ground in 2017.

 

Data management policies in hybrid cloud’s favor – Knowing where the data come from (not just which sensor or system, but from which country) will enable governments to implement more easily national data management policies. Multinationals using the cloud will face divergent interests. Increasingly, international companies will deploy hybrid clouds with servers located in regional datacenters as the local component of a wider cloud service to meet both cost reduction objectives and regulatory constraints.

 

New safety classification systems ensures a balance between protection and ease of access- Consumers are increasingly sensitive to the way data is collected, shared, stored – and sometimes stolen. An evolution that will push to more regulatory protection of personal information. Organizations will increasingly use classification systems that organize documents and data in different groups, each with predefined rules for access, drafting and masking. The constant threat posed by increasingly offensive hackers will encourage companies to increase security but also to monitor access and use of data.

 

With Big Data, artificial intelligence finds a new field of application – 2017 will be the year in which Artificial Intelligence (AI) technologies such as automatic learning, natural language recognition and property graphs will be used routinely to process data. If they were already accessible for Big Data via API libraries, we will gradually see the multiplication of these technologies in the IT tools that support applications, real-time analyzes and the scientific exploitation of data.

 

Big Data and big privacy – The Big Data will have to face immense challenges in the private sphere, in particular with the new regulations introduced by the European Union. Companies will be required to strengthen their confidentiality control procedures. Gartner predicts for 2018 that 50% of violations of a company’s ethical rules will be data-related.

 

Sources:

Top 10 Big Data Trends 2017 – Tableau

Big Data Industry Predictions for 2017 – Inside Bigdata

#InternetOfObjects and the Emerging Era of #CloudComputing

IOT CLOUD

Big data and connected objects represent an important source of economic growth according to numerous studies. They open the possibility to connect people or objects in a more relevant way, to provide the right information to the right person at the right time, or to highlight information that is useful for decision-making. Allied to Big Data, connected objects give professionals new opportunities to better understand customer needs and better satisfy them.

 

According to McKinsey, the overall economic potential of the IoT universe could be between $ 3,900 billion (US ‘trillion’) and 11,100 billion per year by 2025! So with 30 billion connected objects by 2020 it’s now necessary, more than ever, to rethink the use of Cloud.

 

The explanation of this boom?
Connected objects are already very widespread and are gradually taking over all sectors. The general public sees it as a way to improve everyday life, while companies are already using it to control and improve industrial processes and propose new services. Cities and vehicles are becoming smart by using different types of sensors.

 

Nearly all manufactured goods entering the market – vehicles, equipment for energy or water supply, health sector equipment, scientific and technical research facilities, machine tools and robots, etc. – all are bound to be connected and, for a good part, to be interconnected.

 

We are only on the premises but very well equipped with advanced technologies, the only thing to do is to imagine their great usage that will respond to every real expectations and will bring real added value. This ability to make our environment much smarter is linked to sensors, to the data collected by these sensors and to the speed of processing of this data. The triangle of Connected Objects, Big Data and Cloud will become essential to transform this universe of connected objects into intelligent systems.

 

Future of IOT Data 
The continuous flow of data generated by IOT is challenging the networks. All of these billions of objects that can be interconnected via the Internet are accelerating the real tsunami of announced data. The cloud is a simple and flexible way to deal economically with this mass of data that will continue to grow with time and new uses. And to cope with this huge data, the computing power will have to be adjusted. With the successful adoption of IoT, manufacturers will work on new systems architectures, especially those that are “hyper-integrated”, “hyper-convergent”, and can bring very high performances.

 

Cloud, indispensable for the development of the internet of objects
Connected objects are synonymous with capturing very large masses of valuable data. The gathered information via IoT will have to be stored, transmitted and analyzed for which the choice of Cloud infrastructure is the most appropriate method. Firstly because of the flexibility afforded by this type of offer only a Cloud solution allows real-time adaptation of the infrastructure capacity according to the level of demand. A flexibility for the management of all the connected objects devoted to knowing peaks of load and allows connected devices to interact with powerful back-end analytic and control capabilities. 

Furthermore, this flexibility can play more decisive role for commercial success, a situation in which it is essential to adapt its infrastructure quickly to meet demand. A necessity that affects the companies of moderate sizes seeking to contain their investments in technical infrastructures.

A flexible cloud service for connected devices can facilitate critical business decisions and strategies process by allowing you to connect your devices to the cloud, analyze data from those devices in real time, and integrate your data with enterprise applications, web services etc.

 

New skills and infrastructure needed
Applications linked to IOT are limited only by the human imagination. From automotive to home automation, to medical and healthcare industry, entertainment and education, IOT is pervasive and growing rapidly and transforming all economic sectors. To operate these innovative devices, it will be necessary to develop applications capable of collecting and processing the data that they will generate. The manufacturers of connected objects and the service providers responsible for the management of these applications must therefore provide themselves with appropriate skills and infrastructures.

Value Creation with #BigData and #ConnectedObjects

The Internet of Things and the Big Data have extended the digital revolution to all parts of the economy. With the Internet of objects (IoT) and gathered data we are at the dawn of a new digital revolution. If #BigData helps companies to understand the behavior and expectations of their customers, the connected objects are contributing to the process.

 

Three aspects of the digital revolution in particular are shaking up technology, industry and the economy with profound social consequences: “the decrease of computing and telecommunication costs, which are gradually becoming cheap resources and easily accessible to everyone, IOT evolutions leading into an era of continuous and never-ended innovation and the desire to create something outside the box, a new economic mechanisms which in particular enables the development of activities with increasing returns that redefine the competitive rules of the game”.

IOT

 

One by one, all economic sectors are switching to the digital age by threatening disappearance of businesses that won’t evolve. Companies must consider their positioning in this new paradigm, rethink their business model, to develop new competitive advantages – those of the previous era becoming partially obsolete – and then to transform to implement the new vision.

 

Positioning and competitive advantages: Companies must first understand the potential value creation of connected objects and Big Data in their markets. Here are four key capabilities of connected objects combined with Big Data:

 

  • Monitoring: The sensors placed on the connected objects will provide with more information and control in order to identify and fix these problems. The data can also be used indirectly to better contemplate the design of future objects, to better segment the market and prices, or to provide a more efficient after-sales service;
  • Control: use of the gathered data by algorithms placed in the product or in the cloud makes it possible to remotely control the objects if they are equipped with actuators;
  • Optimization: the analysis of the current and past operating data of an object, crossed with all the other environmental data and the possibility of controlling them, makes it possible to optimize the efficiency of the object;
  • Autonomy: the combination of all previous capabilities and the latest developments in artificial intelligence allows to achieve a high level of autonomy of individual objects (such as household vacuum robots) or complete systems (such as smartgrid).

In addition, connected objects require companies to re-evaluate their environment, as the data produced and the services and platforms that accompany them allow for system optimization on a large scale. For example, public transport is already being considered in the context of a wider mobility market, in which the aim is no longer to operate a bus or subway network, but to help a Customer to go from point A to point B.

The ecosystem then expands to include transportation facilities in and around the city (bus, metros, individual car, taxis, car-sharing, etc.). .), GPS and mobile applications, social networks of users and infrastructures of the city (road, car parks, etc.).

CONNECTED OBJECTS

Transformation of the business model: Once measured the appearance of connected objects and their impact on a defined market, companies must think of their transformation to excel in this new paradigm. First, the company must evolve most of its functions and their expertise, in terms of:

 

  • Design: connected objects are more scalable, more efficient and less energy-consuming. Greater collaboration is needed between software teams and hardware teams to design new products and services that integrate more intelligence, sensors and remote capabilities in the cloud using Big Data;
  • Marketing: the new data created by the connected objects make it possible to better segment the market and individualize the customer relationship. This individualized marketing also makes it possible to design services more easily adaptable while preserving economies of scale;
  • Customer services: the role of customer services is gradually evolving towards the prevention of breakdowns, sometimes at a distance. The analysis of the data also allows these services to understand the causes of breakdown, in particular to improve the design.

 

We are witnessing a new era of the Internet of Things that, along with Big Data and cloud computing, is one of the key foundations for companies of the future. To do their best, companies will have to acquire much more robust technological infrastructure as these objects should be created within a safe environment where we trust digital technology. More fundamentally, companies need to evolve their structure and governance to gain agility and adaptability.

State of Technologies at the end of 2016

2016 is almost hitting its end so we thought it’s time to look back at the biggest trends in tech. This blogpost summarize forecasts of trends in Big Data and Data Analytics presented in Forrester and Gartner Reports. It’ll provide you a clear picture of the evolution of Big Data, predictive analytics, IoT and cloud computing market.

 

State of technologies at the end of 2016

  • Big Data

It has been a quiet revolution. What is trendy are the growing scale, sophistication and analytics of data. Nowadays data is not just a back-office, accounts-settling tool anymore and the Data Science is not an isolated concept. It is gaining importance in all business sectors and even within all functions. It’s increasingly used as a real-time decision making tool. Moreover, data from social networks, governments or the companies themselves are being analyzed in real time to improve efficiency. Plus thanks to Deep Learning, analytical tools will progressively become more intelligent, autonomous and intuitive in upcoming years. Their operation will gradually move closer to the way of a human thinking, so the unstructured data, such as emoticons used by online users, will be collected and analyzed more quickly and deeply.

 

  • Self-Service Analytics

We are living in a world which is flooded with data captured from multiple sources such as corporate databases, sensors, IoT and this trend keeps increasing. In front of this rising data, organizations are innovating new tools and ecosystems to be able to translate and capture useful information from this data. One of the biggest challenge for Data Scientists is the focus on Analytics and the real-time analysis to make major decisions. To compensate the lack of qualified specialists, and in order to save time, companies will keep investing in data analysis through the Self-Service Analytics tools. With that being said, we’ll keep seeing apparition of innovative tools and other ecosystems for self-service analytics. Plus social networks will develop their own analytical tools. To remain competitive, Data Analysts will therefore have to increase their efforts and inventiveness.

 

  • Public data sources

In the US, for instant, the aggregated health data is now open to the public through the National Center for Health Statistics of the CDC. Without any long wait, many other countries will most certainly follow the same direction. Consequently, these data can now be freely exploited by companies. Besides health, other areas should also soon open access to their data. These open data will give companies gold opportunity to adapt their products, services for niche markets.

 

  • Internet of things:

Over the past decade, the world has become increasingly hyper-connected. We live in an environment where the Internet and its associated services are accessible and immediate, where people and businesses can communicate with each other instantly, and where machines are equally interconnected with each other. IoT will continue changing everything, including ourselves in upcoming years. It’s not a bold statement, consider the impact it already has had on education, communication, business, science, government, and humanity. Clearly, the Internet is one of the most important and powerful creations in all of human history. IoT represents the next evolution of the Internet, taking a huge leap in its ability to gather, analyse, and distribute data that we have been turning into information, knowledge, and, ultimately, wisdom. The worldwide Internet of Things market spend was worth $591.7 billion in 2014 and will grow $1.3 trillion in 2019 with a compound annual growth rate of 17%.

 

  • Cloud Computing:

Due to high costs of infrastructure and administration, data centers are often one of the first business areas that companies consider switching to a cloud service. So an organization’s decision to move their IT to the cloud is gaining importance. Most organizations are planning to shift select capabilities there, and many already have. The decision is often influenced by technology trends, except cost saving benefit, the cloud data center is much simpler to organize and operate and, because it is simple, it scales well. In other words, the larger you make it, the lower the costs per user are. My personal opinion is that organizations will soon get rid of their traditional data warehouse and invest in their next generation data warehouses which will be placed in cloud.

 

For each business, the convergence of IT is an important part of their sustainable growth. All business have come to realize that an integrated IT industry will enhance the competitiveness and creativity of their economies and fuel the sustainable growth of the global economy. Businesses around the globe have been unveiling their innovative strategies for the IT industry. IT technologies have already brought a dramatic change to our lives and will continue to surprise us. We are convinced that in this new era of hyper connectivity, IT will maintain an economic growth worldwide.

 

Sources:

Magic Quadrant for Business Intelligence and Analytics Platforms

National Center for Health Statistics

State of the Market: Internet of Things 2016

From #BigData to #IoT, The Key Technologies of 2020

“Innovation, by definition, is unpredictable”. A Gartner study predict the impact of new technologies in the professional world. There are 47 main technologies that’ll help companies to industrialize the process of innovation. Here below we’ve resumed the most important and trendy ones.

 

Big Data: 

bigdata

The collection of massive data has become a major issue, especially in an era where governments are increasingly on the lookout for personal information. As we’ve all seen in the strategy of Facebook addition of smileys to the simple “like”, the personal data represents an economic value and holding such data may well be a powerful output for the government. Experts have predicted that in 2020 there’ll be 10 400 billion gigabytes of data that’ll be shared every month on the web. This is why the analysis of massive data is a key technology for companies in competition and these business analysis can be helpful for their business strategy to improve management / client relationship.

 

The sensors: 

sensors

The global sensor market is estimated at 154.4 billion dollars by 2020. This figure is explained because of its multiple use, either for the water management, energy management, the analysis of chemical and microbiological pollutants, inventory control in industries or activities tracers in the health field.

A new market is developing around the sensors: biosensors. The biosensor is an analytical tool consisting of an organic compound that allows the connection between biological material and the transducer, which transform the biochemical signal into quantifiable physical signal. It serves in particular to health, environment, safety and food field. It is estimated that sensor market will reach 2.78 billion dollars in 2020.

 

Autonomous Robot: 

Autonomous Robot

Robotics is considered one of the 9 industrial solutions. From a kitchen blander to a human size robot, robotics certainly has a bright future in the new technologies market. As predicted by many experts, robots will soon replace humans to do repetitive or dangerous tasks. For example, when it will be to visit the disaster site or rescue missions, we will send robots instead. However, there’s still a lot to work on robotics before they can perform to any unexpected situations. This is why investments are growing to make it completely autonomous.

On environmental issues, various robots are set up as Diya One of Partnering Robotics for purifying indoor air or Xamen who unveiled a surveillance drone in 2015 to inspect industrial facilities. Robots like Nao will attend everyday life of the older persons. And other will help in the driving area as Valeo, which takes care of parking.

One of the main issues will be the “Sense and Avoid” or “See and Avoid” so that robots can evolve while adhering to the laws of robotics, on which the European Parliament is currently working. The park of “service robots” will reach $ 20 billion and is estimated at 18 million units by 2020. These include agricultural and logistics robots that will get a significant share in the market.

 

Artificial Intelligence: 

artificial-intelligence

Biggest dream of AI is to copy and perform exactly like human intelligence, may be in a much better way. A dream slowly becoming reality … or not. Meanwhile, the current IA operates on 3 stages: perception of the environment, a decision that involves the reasoning and learning and environment-oriented actions.

More and more AI is used within the services but it’s also as key elements in decision making support in medical diagnostics (IBM Watson) or in the financial markets sector (algorithms of high frequency trading (THF)) . Thus, 40% of transactions on the stock markets are generated without human intervention. Some AI are also capable of providing decision support such as VITAL algorithm, the Board of Directors of Deep Knowledge Ventures, which participates in investment decisions by analyzing balance sheets of potentially interesting companies. A BBC Research has estimated the global market for intelligent machines (expert systems, autonomous robots, digital support systems) to $ 15.3 billion in 2019.

 

The 5G Infrastructure: 

the-5g-infrastructure

By 2020, the infrastructure of the 5th generation will replace 4G. Faced with the development of the IoT, M2M and environmentally friendly services, it is essential to go beyond 4G. 5G will ensure the continuity and quality of the user experience anywhere anytime. The main quality of 5G compared to 4G will be speed. “As the IoT revolution gets underway, 5G networks will be able to handle the hundreds of millions of devices and sensors that will join the network” says Roger Entner, expert on 5G wireless networks. With this new infrastructure, it will be possible to quickly respond to the challenge of energy efficiency and ensure connectivity with massive data objects Internet

Currently, the European Commission has set up the 5G Infrastructure Public Private Partnership consortium which aims to support the development of 5G standards and strengthen European industry to successfully transition to 5G. The EU is associated with many countries drivers of mobile, broadband including Japan and South Korea. The latter announced that it would invest $ 1.5 billion to deploy the 5G services. A partnership is also planned with China: China’s Huawei has announced an investment of $ 600 million in the development of 5G. What more we can ask for?

 

Internet of Things: 

iot

According to the Institute of Audiovisual and Telecommunications in Europe (IDATE), in 2020 the Internet of Things will be made of 85% of connected objects, 11% of communicating terminals and 4% will be dedicated to M2M (Machine-to -Machine). The global market for the Internet Of Things will reach 1.525 trillion euros by 2020.

 

All these technologies are game changer and will make our future even brighter. Most of us aren’t well-equipped emotionally and culturally to have this much technology entering into our lives but we’ve to embrace them now before it gets too late!!!

Internet of Things, a booming connectivity for Africa

African economic pulse has quickened, infusing the continent with a new commercial technology known as The Internet of Things. This new technology offers many prospects for the continent, and can help solve many problems.
In terms of IT infrastructure, Africa is currently very behind compared to other more developed nations. However, more than half sub-Saharan African population has a mobile phone. Therefore, the Internet of Things is the logical continuation in terms of connectivity for the African continent.

IoT in Africa

A driver for economic growth for Africa:
The Internet of Things is much more than a simple technology. This is a product and services ecosystem, from the simple device to the technology of Cloud. As you might know an efficient connectivity adds real value to businesses. This value provides an exciting prospect for Africa, and could result in significant economic growth. The African IT could also quickly catch up and align with the rest of the world.

 

A booming connectivity: 
The adoption of the Internet of Things in Africa is nothing fancy. According to a McKinsey study, the penetration of internet in Africa will triple by 2025 to exceed 50%. This represents 600 million regular Internet users. The study also predict a strong potential for the Internet of Things in developing countries. By 2020, these countries could represent 40% of the global market value of the IoT.
Currently 15% of the world population lives in Africa. More than half of global population growth between now and 2050 is expected to occur in Africa. Therefore, the deployment of a connected system is essential to this.

 

IoT promises: 
The Internet of Things has the potential to solve many problems on the African continent. Many African countries have already embarked on the IoT adventure. Caregivers in Ethiopia monitor patient health status to adapt and adjust their treatment. Nairobi’s connected Traffic lights helps to regulate traffic. In South Africa, utilities suppliers use connected measuring tools to prevent possible overloads. Wildlife is monitored and maintained through connected DNA analysis applications and satellite imagery. DNA analysis has proved a game changer in wildlife.
The potential of the Internet of Things in Africa is unlimited. As technology advances and integrates daily life of most of citizens, we always expect more from IoT solutions to solve the problems.

 

A solution to the agricultural problems: 
In sub- Saharan Africa, 95% of usable land depend on rain. Therefore, food crops are often minimal, and the risk of famine continues to loom as a threat. With the IoT, wireless sensors can monitor the growth, soil moisture levels and water tanks. Smart vehicles can reduce the required physical labor. Thus, cultures can be more prolific, for a lower cost. According to the United Nations Food and Agriculture Organization, agricultural production needs to increase by 60% to feed the entire population expected to reach nine billion by 2050.
For example, John Deere has partnered with SAP to use the Internet of Things and Big Data in the fields to increase the yield per used hectare. The interconnectivity between owners, operators, vendors and agricultural consultants help farmers increase their productivity and efficiency.
The sensors on their equipment help farmers to manage their vehicles and tractors, reduces time usage while saving fuel. The information is combined with historical and meteorological data, or data relating to ground conditions.

 

Limiting the effects of natural disasters and epidemics: 
Connected Robots can help limit the effects of natural disasters. Still in development pharse, future robots, connected IoT technologies and control mechanisms as SORMAS of SAP could reduce the impact of epidemics such as Ebola. We all know when the powerful earthquake in March 2011 triggered a tsunami that devastated Japan’s Fukushima-Daiichi nuclear plant and raised radiation to alarming levels, authorities contemplated sending in robots first to inspect the facility, assess the damage and fix problems where possible. Ever since, Defense Advanced Research Projects Agency (DARPA), an agency under the U.S. Department of Defense, has been working to improve the quality of robots. It is now conducting a global competition to design robots that can perform dangerous rescue work after nuclear accidents, earthquakes and tsunamis.

 

Several obstacles:
The future looks bright, but there are still many obstacles to overcome. The implementation cost of the IoT infrastructure is very high, and the investments will likely come from outside. Moreover, the hacking risk is a major threat. In addition, it is imperative to deploy training programs to educate and enable it to exploit the opportunities offered by this new technology.

 

The overall connectivity is essential. For now, many African nations are lagging behind in this area. The lack of infrastructure, however, can be beneficial for Africa. Instead of incremental updates techniques, the continent can directly jump into the wagon of new technologies in a way that is not possible for developed countries.
The Internet of Things happen in Africa, and African companies cannot ignore this novelty. Also, be prepared to face challenges in terms of security, and be able to articulate the return on investment are two key points to enjoy this new boom.

 

Sources:
World Population Prospects
What’s driving Africa’s growth
Lions go digital: The Internet’s transformative potential in Africa

IoT: Biggest Revolution in Retail

If the IoT represents a huge opportunity for almost every facet of the business, this is particularly true for supply chain specialists, operations and analysis. The leaders of e-commerce and traditional commerce see an opportunity of competitive advantage in IoT.

 

Even though I’ve already wrote about IoT in my previous posts, let me give you again a quick definition of it. In 1999, Kevin Ashton (MIT Auto-ID Center) describes the Internet of Things as a network of interconnected objects that generates data without any human intervention. Today, Gartner describes the IoT as “the network of physical objects containing embedded technology to communicate, detect or interact with their internal states or the external environment.”

 

estimates for IoT revenue by region in 2020

For some IoT is only a new name of an old concept, the only thing which has recently changed in this existing concept, is the evolution of Cloud technology. According to a recent survey by Gartner, IoT is one of the fastest-growing technological trend. Estimation says that by 2020, the number of connected objects will be multiplied by 26 to $ 30 billion. Main reason behind IoT success is the development of solutions based in clouds; which allows to actually have access to the data generated by the connected objects.

 

The growth of IoT relies on three levers: reduction in integrated chips costs, technologies supported by a cloud platform and powered by analyzing Big Data and finally the Machine Learning. A case study of IBM named “The smarter supply chain of the future” revels that in near future the entire supply chain will be connected – not just customers, suppliers and IT systems in general, but also parts, products and other smart objects used to monitor the supply chain. Extensive connectivity will enable worldwide networks of supply chains to plan and make decisions together.

 

The main objective of such connective supply chain is to gain better visibility and to reduce the impact of volatility in all stages of the chain and get better returns by being more agile product flow. Several developments are already underway in the IoT and are revolutionizing the retail supply chain at various levels:

 

At the client side: integration of end consumer in the IoT. The main objective of this step is to collect customer data to create customized product, personalized offers while simplifying the purchasing process. Devices such as health trackers, connected watches etc. continuously collect the data from consumers, prescribers. The collected data represents a great opportunity of positioning product/services. For example, from a person’s browsing history, its culinary tastes and influences on social networks, information on a nutrition bar can be offered to him. Recommendations may also be appropriate if the person enrolled in a sports club or acquired a fitness tracker and so on.

 

As for retailers: Beyond the preparation of the assortment by merchants, there are smart shelves and organization of sales outlet. Moreover, we are witnessing a rapidly changing purchasing behavior so with smart shelves a retailer’s system can analyze inventory, capacity and shipment information sent by suppliers. Via the predicted system retailers and suppliers can avoid costly out-of-stocks or missed sales.

To take the example of nutrition bar, time spent in front of a specific category of products (yogurt lightened for example) can be an early indicator to change suggestions or promotions. In addition, the integration of the retail IoT can allow the line to automatically trigger orders. The whole environment can be configured to access a library of planograms, to store inventory data and related warehouses to automatically run restocking. As the elements of this environment are already used independently, we can predict that we are at the dawn of IoT in retail.

 

If the store are at a less advanced stage in the application of IoT, transportation and warehousing are well connected. The integration of RFID shows a first generation data-oriented machine. Integrated tracking systems have long been used in transport and warehouse systems. RFID tagging of pallets has to have better visibility on the status of stocks and the location. The convergence of demand signals and increased visibility on the state of stocks and their location results in scenarios such as the anticipated shipment for which Amazon has filed a patent. Increasing integration of IoT can lead to efficient use of robots for material handling and delivery by drones. These innovations are challenging the effectiveness of existing systems by optimizing the machine learning an effective alternative.

 

Even with all the benefits it promises to offer companies, IoT is still a gamble, with big risks and unsolved problems. For any organization that decided to embark on the IoT, a number of questions remain open whether in technology, integration with file distribution systems to traditional ERP API to communicate with sensors and application languages ​​(Python, ShinyR, et AL.)

 

There are several interfaces that work well in specific areas, but it needs more standardized platforms. Industry experts have launched PaaS (Platform as a Service) to integrate this growing IoT technology. Despite these challenges, the technology seems a surmountable obstacle. Only the legislation on collected data is a real problem so far. Even the customer acceptance remains a challenge. In 2013, Nordstorm had to backtrack on his program which was to track customer movements by the Wi-Fi use on smartphones and via video analysis due to customers demand.

 

Finally, the important thing to remember is that the IoT is a revolutionary technology. A lot of expert retailers, e-commerce players and technology solutions providers will rethink and adapt the model and evolve in processes designed for organizations wishing to adopt the IoT. Retailers that take the lead in this space stand to gain an important advantage in an already competitive environment. Early adopters will be positioned to more quickly deliver IoT-enabled capabilities that can increase revenue, reduce costs and drive a differentiated brand experience. The IoT will be a disruptive force in retail operations.

 

 

Sources:

The Smarter Supply Chain Of The Future

The CEO Perspective: IOT for Retail Top Priorities to build a Successful Strategy