IT Challenge n°2: Rise of new Partnership Models


IT Partnership Models

2020 companies will be totally interlinked organizations within an ecosystem in which new strategic partnerships and associations will be formed, as well with customers, suppliers and competitors!


A profound transformation of the ecosystem

The growth of value creation is a major trend in digital era. We witness more and more companies opening up, thanks to the multiplication of the interactions allowed by cloud, data repositories, connected objects … This condition requires companies to rethink their business partnership strategies within their ecosystem in order to succeed in the age of digitization.

This ecosystem is very extensive, with an interesting diversity of actors, such as, GAFA (Google, Apple, Facebook, Amazon), start-ups, innovative SMEs, communities, customers, employees, self-entrepreneurs, suppliers, public and local authorities and political institutions… In the era of “co-something”, a company can no longer succeed alone in its market, particularly because of the rapid emergence of new business models, competitors “out of nowhere” and an accelerated renewal technology.


The challenges: anticipate and ally

Controlling the ecosystem depends on anticipating the evolution of it’s different actors, to be noted that actors in the traditional IT are not necessarily those of the current ecosystem, nor, of tomorrow. Some will disappear or merge, others will emerge, many will become partners.

Establishing a good relationship with the right partner, which can be a supplier, requires joint sharing of opportunities and risks, commitment to common goals, and shearing value. And this sharing of value aims to bring something new and positive to the partners, and ultimately to help them grow. Strategic partnerships can be established when there are common objectives for value creation. With this perspective, the partnership is strategic and is quite different from the traditional customer-supplier relationship (even major), in which the parties are bound by a contract for the providing services.

The objectives of each party must be the same and the balance of the relationship arises precisely because of that different but valuable opinions and ideas.


Challenges: Negotiation and Confidence

  • Collaborate: one of the typical challenges of partnerships will be to manage the paradox between internal resources (including CIOs) that are experiencing difficulties and struggles, collaborating and, on the other hand, the market, which requires close collaboration to better innovate.
  • Dialogue: companies are confronted with a cultural interoperability challenge in order to engage all the actors involved, even if they do not share a common language.
  • Establishing trust: a partnership relation is always based on trust. Thus, it is not a question of “collaborating to collaborate”, but of collaborating to win together, in order to create communities that engage clients and collaborators.

R-Link is the result of a long-term partnership between Renault and Tom-Tom. R-Link is an integrated multimedia tablet, driven by a tactile control or an advanced voice command. It combines, the various functions related to multimedia in the car such as, navigation, radio, telephony, messaging, well-being, eco-driving. Renault’s interest in combining with Tom-Tom was to increase the value for its customers, to know them better and to improve the level of service.
This example illustrates the idea of a service platform: Renault added services to its products by developing the customer experience.


To conclude, I’ll say that the success of these new partnership model depends only on the business taking much greater role in designing, building, and exploiting the technology, platforms, and data it needs to succeed. Overcoming challenges of traditional IT management is a step forward of bringing IT closer to its true mission and succeeding in all IT collaborations.

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.



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.



Top 10 Big Data Trends 2017 – Tableau

Big Data Industry Predictions for 2017 – Inside Bigdata

#InternetOfObjects and the Emerging Era of #CloudComputing


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”.



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.).


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.

10 Gartner forecasts that will mark the IT in 2020

On the occasion of its Symposium / ITxpo (CIOs and senior IT leaders annual gathering) from 16 to 20 October in Orlando, the research firm Gartner announced 10 tech predictions for 2020. Gartner analyst reveled tech insights to help next gen IT teams and help to develop business.

One of the strong massage Gartner highlighted during the Symposium / ITxpo was the rapid adoption of augmented reality, web browsing, increased digital capabilities. According to the consultant, many users expect that companies, universities and governments implement these changes in near future.



These are the 10 short-term forecasts announced by Gartner during its annual conference:


    • By 2020, 100 million consumers will shop in augmented reality environments
      Augmented Reality, known as the integration of digital information with user’s environment in real time, “will cover data”, told Daryl Plummer – analyst at Gartner. For example, when you enter a supermarket, “information on the various products will float in the air in front of each of them,” so consumers can check virtually before buying them. The AR will also be used in online shopping. Gartner predicts that by 2017 one in five global leading brand will be using augmented reality. Today, viewers can already see AR applications in football televised games, with new indicators displayed on the screen during games.


    • By 2020, “We will talk more with robots than with our spouses
      More concretely, for IT managers, this shift interactions to the voice exchange means that within four years, 30% of web browsing sessions will be done without screen. This is what is already being used by Alexa voice service of Amazon, and Google Home with the Echo device. But Gartner predicts that by 202 room-based screenless devices such as Amazon Echo and Google Home will be in more than 10M homes “This growing need for voice communications to interact with the Internet raises many questions” statement given by Aren Cambre, who heads a research group on Internet technologies at Southern Methodist University. “So far, all data representations have been designed for visual display,” he added, but it is not known yet how this will work non-visual interaction to use the services. “For example, how will a student ” see “his notes with Alexa? Or, how will he be authenticated? These are some important questions that we need answers before any shifting.


    • By 2019, 20% of brands will abandon their mobile applications
      “The applications shall be no more first class marketing support for major brands,” said Daryl Plummer. For many Gartner clients, already, apps were not up to the expectations of companies,” he added. “In addition, the app stores are full of apps, and it is very difficult to find a truly exceptional or indispensable app.” Plus in many cases, the maintaining cost of app is still higher than the profit. “Companies will turn more towards the mobile Web or will call on” Progressive Web Apps” just like Google. “When the user connects to a website from a mobile device, a framework will be downloaded in their mobile, and the next time they sign in, the app will work instantly,” said Daryl Plummer. Updates will be automatic. Don’t panic, the Apps are not going away, but “we get kind of in a post-app era,” he added.


    • The companies will use algorithms that will aim to “provide constructive help to the billions of worldwide workers”
      This system will work as a virtual assistant and by the end of 2017 the algorithms will allow commercial organizations to increases in profit margins by alerting employee’s behavior positively.


    • By 2022 the value of blockchain-based organizations will exceed $ 10 billion
      Blockchain, a public register of financial transactions, will enhance and promote the development of “major EU trading operations.” Because it helps to increase transparency and trust in transactions, blockchain technology will promote the development of large “ecosystems”.


    • By 2021, 20% of all individual activities will involve at least one of the top seven digital giants
      According Gartner, these 7 companies are Google, Apple, Facebook, Amazon, for the United States, and Baidu, Alibaba and Tencent, for China. These companies will be leading in IoT adoption and implications. This means that consumers will depend more than ever, on the large IT services companies via sensor based devices from these digital giants. Not only business but by 2020, 20% of homes will dispose more than 25 IoT and connected home solutions as well.


    • Investments in innovation won’t be cheap at all
      Gartner estimates that for every 1 dollar spent on innovation, it will take 7 dollars for its implementation. Especially because data centers have not been modernized, and it may have to resort to new and unknown technologies such as machine learning. “This also means that IT service providers will have to develop and modernize their skills to use these new technologies,” said Daryl Plummer.


    • IoT data will cause a slight increase in demand for storage
      The Internet of Things will produce a lot of data, but by 2020, the additional storage demand will increase by less than 3%. Indeed, most IoT data will not be stored, and algorithms will know what data should be saved.


    • By 2022, the IoT will save $ 1 trillion per year for consumers and businesses
      As a business, saving maintenance, services and consumables coasts is one of the biggest goal. For example by using sensors (IoT devices) it is possible to predict when it’ll be easier to predict material maintenance etc.


    • The use of fitness trackers will expand
      By 2020, Gartner estimates that 40% of employees will be able to reduce or cut off their health care expenses by wearing a fitness tracker.



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: 


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: 


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: 


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: 


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: 


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.


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.




The Smarter Supply Chain Of The Future

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

Connected and intelligent products: what strategy you should adapt to monetize the Internet of Things?

If you own a small/ medium or a global industry, you’ve certainly entered a level in the Internet of Things (IoT) and have probably invested in infrastructure and strategies. Why? I think it’ll be enough to say that this technology opens up a whole new source of product opportunities, development of existing products or of “business models”.

A recent study done by McKinsey entitled “Unlocking the potential of the Internet of Things” revealed that the business prospects of the IoT are astronomical as it evaluates between $3.9 and $11.1 trillion per year by 2025! In this new economy, it seems that three critical strategies must be addressed.


the IoT _ Internet of things


    • Product-as-a-Service


Products of IoT are smart and connected. But to take full advantage, it’s essential to move towards a model based on subscriptions, and more specifically, to realize that for a user (i.e. a potential subscriber), quality of customer experience is greater than the product itself. Thus, the McKinsey study points out that the ability to monitor devices on the same customer site allows the manufacturer to market them as “services” with the new possibility offered by the IoT by introducing a pay per use business model. No doubt that this business model has many other benefits: to guide the development of new products, cross selling or additional sales, etc. As noted by the study: “This approach allows service providers to build relationships more “intimate” with their customers in which competitors will have great difficulty to interfere.”


Many questions about this transition from products to services remain. Now, it is indeed a trend in the market, as evidenced by numerous creations of companies whose success and valuation have not denied. Recall, for example, Apple recently began marketing its hardware through outright membership. Many saw it as a simple competitive response, reproducing the model already offered by major market participants. However, as evidenced by a recent market study by Goldman Sachs, the growth prospects are well beyond this perception simply a reactive attitude to competition. In its report “Market Conviction,” Goldman Sachs strongly recommends buying Apple shares and specify their target listing at $160 per share – a gain of some 50% from its current closing price! Why? Monetization services. The merger of its services and materials in a comprehensive subscription system is indeed now the most promising form of development because of its high value.


A recent interview with Andy Mattes, CEO of Diebold (leading manufacturer and distributor of ATM) focused on how to maximize the creation of shareholder value in the context of a recent buyout and change the competitive landscape. The discussion was organized around two key issues: first, the ability of Diebold to optimize production and to integrate biometric technologies to its intelligent connected devices and the other, his propensity to create value by marketing production as a service, which’ll have a direct impact on his company’s shares value. How? By increasing margins, providing cost-effective and customer-centric software solutions. Such examples are now commonplace in the extent that the pay per use billing model are more favorable to the customer through monitoring tools and measuring product use.


Whether in B2B or B2C field, the Internet of Things has the ability to transform virtually any product in use, and therefore create ideal foundation to build closer and lasting relationships with customers. The operational challenge for companies is therefore to build a transitional infrastructure allowing them to adopt a mode of development centered on the new subscription model.


    • Be aware of the behavior of your product/service subscribers


Connectivity is not something that is confined to humans. In fact, the number of connected devices has long surpassed the number of humans on the planet. We note today that consumers will own more and more connected devices of all kinds – their cars, their home automation systems and other various connected devices. However, to succeed in this area, it’s certainly not enough to “stick” sensors on a given object to turn it into a “smart product”. It’s a challenge to think in terms of “value creation”; a trend recognized by many companies. The new connected health assistant launched by Visiomed is a good example. With the critical data collected from the patient, this wizard allows a new experience of health through the power of artificial intelligence that has demonstrated 87% consistent diagnoses and complementarity of e-consultancy platform.


This notion of the expected end result is also crucial in the world of the Internet of Things for the general public. Nest is not just a thermostat. Instead it shall be considered a “brain Automation”, capable of storing heating habits, to issue warnings of the presence of certain particles in the air. Similarly, vehicles benefiting from Autonet mobile connections have permanent diagnostic system allowing for example to generate alerts to plan the control of vehicle emissions, control the speed of a young driver, sent notifications to chosen contacts when airbags are deployed etc.


To meet the expectations of discerning consumers and to better inform them, it is therefore essential to develop services that can “learn” and adapt their behavior to improve themselves fully autonomously.


    • Monetizing and securing data


The Internet of objects leads to a radical change in the safety concept. The recent “piracy” of Cherokee Jeeps showed that a connected car is likely to be diverted away, even if the driver is at the wheel! Always keep in mind that this type of threat is expected to grow in the same proportion as the explosion of the number of connected devices.     Thus you must NOT underestimate the brain power of a hacker!


The safety of the Internet of Things requires indeed implementation of two basic security principles: a robust authentication system and highly secure communication system. A leading solution that supports these two features exists since decades through public key infrastructure (PKI). This system establishes indeed a platform of “trust” with strong authentication/identification services and encryption mechanism based on digital certificates.


It’s not certain that the PKI environment is ideal for long term; however, so far it’s the best option for all companies active in the IoT objects wishing to protect their customers – and by the same- their own reputation. There is no doubt that now data security presents same priority like physical security for all companies involved in the IoT.


In short: The Customer is ALWAYS the King!       


New business models constantly change over the progress of the Internet of things to offer increasingly demanding customers new consumption patterns. In this new context, the winners will be undoubtedly those who will have evolved rather quickly towards centered subscriptions approaches and commercialization of products as a service (PaaS). It’s a challenge that can seem overwhelming to some as far as it’s actually considered as a true organizational reconstruction and completely rethinking its existing management systems. As always, the precursors will be tomorrow’s leaders in their respective markets.


The Internet of Things certainly raises many issues but no doubt, those who’ll dive in and take part of this adventure will be the winners of this connected world. This is why you must focus on customer needs for services rather than thinking in terms of creating new generations of products.


What your customer needs? What results do they expect? And finally, what security measures you can implement to protect them? If you have answers of these questions you have enough power to be a leader in your sector.