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About Aisha Javed

Blogger & Online Community Manager at Xorlogics with an excellent familiarity with various Internet resources, expresses a keen desire to learn/excel on Web Marketing for the benefit of the organization.

#GDPR – Reform of EU Data Protection: 5 months left to be Fully Prepared

#GDPR - Reform of EU Data Protection- 5 months left to be Fully Prepared

Companies only have a few months left to prepare for the new European #DataProtection Regulation. On 25 May 2018, all companies managing personal data of citizens of the European Union will be required to comply with the new regulations and requirements of the General Data Protection Regulation (GDPR).

This regulation will impose significant new obligations on companies that manage personal data, as well as severe penalties for those who’ll violate these rules, including fines of up to 4% of global turnover or € 20 million highest amount being withheld.

Few months left before the entry into force of the Regulation, yet many companies have not started preparations and will have to develop and implement a compliance strategy. To facilitate their journey, we’ve listed, here below, eight rules to follow.

 

Understand your Data

 

The first step to comply with the GDPR is to understand how personal data is stored, processed, shared and used within the company. Through careful auditing, you will need to compare existing practices with the requirements of the new regulations and identify the changes needed to ensure your business in the way that best suits you. Remember that the obligations of the GDPR do not only apply to the strategies and measures put in place by your company but also extend to the providers who process personal data on your behalf.

 

Determine who is responsible for data protection

 

If some companies will have to appoint a data protection officer, everyone working within the company will have to adopt a data protection compliance program. Data protection officer may need to strengthen his strategies in this area and train his staff.

Please note that not all companies will necessarily have to appoint a Data Protection Officer, but good practice suggests that such a delegate is essential for companies that engage in two types of activities: large-scale processing of specific categories of data and large-scale monitoring of data, such as behavioral advertising targeting.

 

Ensure a legal basis for Data processing

 

Your company will want to examine the legal basis on which your strategy for handling various types of personal data is based. If it is based on consent, you will need to identify the method used to obtain that consent and will have to clearly demonstrate how and when that consent is given. Relying on consent means that data subject can withdraw his/her consent at any time and that data controller must then stop any data processing activity about this data subject.

 

Understand the rights of the people concerned

 

In accordance with the GDPR, any person whose data you process is given new rights, including the right of access to personal data, the right to correct and delete such data, or the right to portability of personal data.

Can your business easily locate, delete, and move customer data? Is it able to respond quickly to requests for personal data? Does your company, and the third parties that work for it, keep track of where these data are stored, how they are processed, and who they were shared with?

 

Ensure confidentiality from conception

 

As part of the GDPR, companies are required to implement a confidentiality strategy from the design stage when developing a new project, process, or product. The goal is to ensure the confidentiality of a data’s project as soon as it is launched, rather than implementing retrospective confidentiality measures, with the aim of reducing the risk of violation.

Have you limited access to personal data to those who need it in your business? A data protection impact assessment is sometimes necessary before processing personal data.

 

Be prepared for violation

 

Your company will need to implement appropriate policies and processes to handle data breaches. Make sure you know which authorities you will need to report any data breaches, as well as the deadlines. Any breach may result in a fine. Put in place clear policies and well-practiced procedures to ensure that you can react quickly to any data breach and notify in time where required.

 

Communicate the main information

 

In accordance with the GDPR, you will be required to provide the data subject with the legal basis for the processing of their data and to ensure that they are aware of the authorities from which they may lodge a complaint in the case of any problem. Make sure your online privacy policy is up to date.

 

Collaborate with your suppliers

 

GDPR compliance requires an end-to-end strategy that contains vendors processing personal data on your behalf. The use of a third party for data processing does not exempt companies from the obligations incumbent on them under the GDPR.

 

With any international data transfers, including intra-group transfers, it will be important to ensure that you have a legitimate basis for transferring personal data to jurisdictions that are not recognized as having adequate data protection regulation. Verify that the third-party data processor on your behalf has established strict data protection standards, has extensive experience in the field of large-scale data security management, and it has tools to help improve data governance and reduce the risk of breach.

 

Ensure your vendor meets globally recognized standards for security and data protection, including ISO 27018 – Code of Practice for Protecting Personal Data in the Cloud. Ask your vendor to provide you with all information about the network and data security who resides there (for example, its encryption policies and controls in place at the application level), its security policies, as well as its training, risk analysis, and testing strategies.

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Vertiv: #DataCenter of Industry 4.0

Data Center Trends

When it comes to deploying IT capacity at the edge, a lot of environmental factors can influence organization’s needs. Each business will vary in deployment size, environmental isolation requirements and ease of transferability to name just a few. So, with the revolution of Industry 4.0, there are many options for your edge data center investment.  As the next generation of data center will no longer be limited to central, large-scale facilities, but will seamlessly integrate the edge of networks that are becoming increasingly intelligent and mission-critical.

 

These 4.0 data centers are currently under construction and will significantly shape the IT networks of the 2020s. The emergence of this edge-based infrastructure is one of the top five data center trends identified by a global panel of experts from Vertiv, formerly Emerson Network Power, for 2018.

 

The main reason and motivation behind a new IT infrastructure are the growing volumes of data-driven by smartphone use and the #InternetOfThings in particular – so they can meet the growing demands of consumers. While companies can go many ways to accommodate this growth, most IT executives choose to bring the infrastructure they need closer to the end user – the edge of the network. Whichever approach companies choose, speed and consistent services will be critical to consumers. That infrastructure needs to be scalable to accommodate accelerating data growth and flexible to allow new ways to use real-time data analytics. 

 

In the past, Vertiv had identified trends around cloud, integrated systems, and infrastructure security. For 2018, the company expects the following five trends that will shape the data center ecosystem:

 

Development of the 4.0 Data Center

 

Generally, large data centers have been placed where energy costs are lower and space is inexpensive. To overcome speed, space, availability issues – Edge data center must be placed much closer to the users. These data center will be generally smaller but more of them in a kind of mesh network arrangement. Because whether it’s a traditional IT cabinets or 150-square-foot micro data centers, companies rely more and more on the edge of the network. 4.0 data centers will give companies the possibility to integrate edge and core holistically and harmoniously. Thus, these new data center architectures are much more than simple and distributed networks.

 

This development is made possible by innovative architectures that provide real-time capacity through scalable and cost-effective modules. These data centers will be cost-effective via the usage of optimized cooling solutions and high-density power supplies, as well as lithium-ion batteries and innovative power distribution units. In addition, these concepts integrate state-of-the-art monitoring and management technologies that allow the simultaneous operation of hundreds or even thousands of distributed IT nodes. As a result, complex structures dissolve. Latency and acquisition costs decrease and utilization is optimized. In addition, enterprises can add network-based IT capabilities when needed.

 

Cloud providers focus on colocation

 

Even though the revenue from wholesale and retail data center colocation market worldwide will reach up to 33 billion U.S dollars, with the increasing numbers of IoT devices, cloud usage is increasing so rapidly that cloud providers often cannot meet the demand for capacity. In most cases, providers focus on delivering services and other priorities, rather than building new data centers. They compensate for under capacities with offers from colocation providers. By focusing on efficiency and scalability, colocation vendors can quickly meet the increasing demand for data center capacity while further reducing costs. And the provider has the freedom to choose their colocation partners that best meet their end-user needs and enable edge computing.

 

Reconfiguration of the data centre middle class

 

With the evolution of the market and rapidly changing consumer’s needs, it is no secret that the biggest growth area in the data center market will be in the hyperscale environment – typically cloud or colocation providers – and edge computing. Traditional data center operators now have the opportunity to reorganize and configure their facilities and resources that are critical to local operations thanks to the growth of colocation and cloud resources.

Multiple data center companies will continue to consolidate their internal IT resources. They will probably use all the options for outsourcing to the cloud or to work with colocation providers and reduce their own infrastructures. Their motivation for this transformation will be quick configurations that can be implemented rapidly and are scalable at short notice. Certainly, these new facilities will be smaller, but more efficient and safer – with high availability at the same time. This matches perfectly to the extremely critical nature of the data that these companies want to protect.

 

High-density Data Center

 

High density has been a hotly challenging subject in the world of data centers for years. But with global data consumption in the zettabytes—and the subsequent demand on IT resources—it’s finally the time to start building up, not out. The data center is all about power and cooling, and high density is how you maximize the usage of those two things.

Over the past decade, data centers have made huge advancements to be able to support the high-density computing of today. Traditionally, data centers used multiple racks of low-power systems that weren’t capable of getting work done efficiently. This is about to change!

Although densities below 10 kW per rack remain the standard, 15 kW is no longer a rarity in hyperscale facilities, and some even approach 25 kW. The main driver of this transformation is the introduction and proliferation of hyper-converged computing systems. This expansion of hyper-converged computing systems is driven by products that are offering new levels of automation, tighter integration between technologies, and, in many cases, software-defined solutions based on scale-out architectures.

 

The world is reacting to edge computing

 

By bringing processing and computing capacities to the edge of the network, businesses reduce latency by highlighting processing and lightening the load on the primary network, supporting better, faster decision-making. The decision to implement an edge computing architecture is typically driven by the need for location optimization, security, and most of all, speed. Three main reasons for the transition to edge computing are the growth of IoT, the pace of technology-empowered business, and evolving user expectations. As today’s data management systems require the most immediate information to support “real-time” decisions that can have an impact of millions of dollars to the bottom line, more and more companies are shifting their computing capacity to the edge of their networks. Also, location optimization reduces data processing from minutes and hours to milliseconds and microseconds and as close to real-time as you can currently get. 

 

About Vertiv
Vertiv designs, builds and services critical infrastructure that enables vital applications for data centers, communication networks and commercial and industrial facilities. For more information, visit VertivCo.com.

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Industry 4.0: Challenges and Solutions for the #DigitalTransformation and Integration of #MobileSolutions

Companies are increasingly considering mobile solutions and condition monitoring when reorganizing and optimizing their maintenance services. The combination of both approaches creates a new digital business in the field of technical field service.

For the operator, this means greater availability and assistance in reducing maintenance costs. In addition to that, the operator can, in return, expand its portfolio, strengthen customer loyalty and better manage service level agreements. So, it is a scenario that at first glance, for both the manufacturer and the customer, can only be beneficial.

 

But are there any disadvantages or associated risks?

 

The Internet of Things theoretically connects everything: household appliances, industrial plants, IT systems and even people. This trend is driven by increasing networking and the goal of development is to minimize the information gap between the real and virtual worlds. This information gap exists because in the real-world things have a certain state (eg “blower is on”, “reservoir is empty”), but this state is not known to the network. The objective is that the real things make their state information available for further processing on the Internet. There, many companies, especially those responsible for IT, see the specific risks of this development. You need to tackle the challenge: how do I protect the company’s IT systems and corporate data on the network or on mobile devices from being accessed by third parties?

 

Developing the solution and then thinking about security concepts is fatal. The IOT requires essential security, privacy, availability and maintenance concepts. Architectures that are designed for security from the beginning, with strong authentication between devices, services and users, with encryption of data in transfer and storage, with access controls through secure authorization, using proven and verified APIs and microservices are just the ones main features in the design. This assigns tasks to the IT departments, which represent risks that should not be underestimated due to the creation of a new digital business field and which must be mastered by those responsible.

 

The consulting practice shows that the IT managers know this very well and need to intensively work on these topics in the course of a digitization strategy, which requires explicitly provided budgets. Since digital solutions for the technical field service compared to traditional solutions have no real disadvantages, the only question now is: How can the advantages and opportunities of this digital strategy be implemented in such a way that the risks can be controlled? Because the consequence of this cannot be: “Due to the identified risks, we renounce the technology”. Only those who firmly believe that the digital transformation will not succeed in companies, that new digital business models will not succeed or at least know for sure that the competition thinks the same way, can afford it. However, it should be noted that in the wake of new technologies, competition often comes from the outside, often unknown in the market.

 

Mobile solutions for the technical field service

 

Those who don’t want to give up the competition, who want to use the advantages of mobile solutions for the technical field service, secure the chances by a security-oriented architecture of the solution.

With a mobile solution, technicians receive their orders for maintenance or customer service directly on their smartphone, tablet or laptop while on the go. This enables them to access order data in backend systems. A dispatcher in central processing allocates the orders according to availability, location and, finally, qualification. The service employee has the entire object data with the history available on site, can access the central material logistics and send feedback and service reports to the central systems.

By directly integrating the processes in the technical field service into the back-end systems of the company, the entire process scenario can be optimized. With no media disruptions, the mobile connection of the technical field staff leads to higher punctuality, more efficient maintenance and troubleshooting. The improved service quality and additional cost savings pay off through increased customer satisfaction. Also, the cost-effective for the manufacturer as a service provider by the higher productivity of the employees is significant.

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Extension to the complete digital business field

 

The use of enterprise mobility in the technical field service, supplemented by the transmission of status information from systems to the service centre, creates a completely new digital business field. This not only optimizes the deployment scenarios for the technical field staff but also the timing of individual activities. Inspections can be reduced to a minimum. Maintenance work is carried out as soon as possible before a component is actually used up by the equipment signalling that the wear limit will soon be reached. Disruptions and expensive production slowdowns are thus avoided because the system logs in before. All of these factors mean that the savings potential with such optimized processes increases significantly.

 

Integration of equipment and mobile front-ends

 

The integration of a mobile solution can in principle take place in all ERP systems. These are often SAP systems or systems such as Microsoft Dynamics ERP or even proprietary applications. In general, three integration paths are used: Natively via add-on, via web services or via classic interfaces with transfer structures. Often the integration of third-party systems such as image acquisition software, spare parts catalogues, geodata information systems or knowledge management solutions is also possible. This further increases the efficiency of the implementation of the maintenance activities.

The connection between equipment and systems is done via middleware, configurable interface software on IPCs, which converts state information from the plants and forwards and makes it readable to ERP systems.

 

Solutions for operation with SAP

 

The maintenance service applications are offered as on-premise or cloud solutions. Based on the SAP HANA in-memory technology, SAP offers the ideal high-performance, the high-availability technology platform for digital maintenance solutions such as predictive maintenance and service.

The SAP Cloud Platform (SCP) as a “Platform as a Service” represents a development and runtime environment in the cloud. The SCP offers a variety of security functionalities for the integration of SAP and non-SAP solutions, content encryption and Signature, certificate-based authentication, runtime encrypted data storage, data isolation, and persistence, just to name a few.

 

Conclusion

 

The technologies to develop new, competitive, digital businesses for the technical field force have long existed. Safety concerns must be contrasted with safety-oriented concepts. For both, you should consult a security expertise before any unwanted situation.

6 Tips for Deploying #CustomerService in the #Cloud

One of the biggest challenges facing companies is figuring out how to assist consumers, in an innovative and better way, in an environment where customer engagement is rapidly variable. Implementing a successful customer experience strategy means organizations need to be responsive enough to serve customers on their own terms across the entire customer experience lifecycle. Therefore, shifting customer service to the cloud in the form of a contact centre offers many advantages, especially for fast-growing companies: from flexible sourcing models to a low burden on their own IT and high scalability.

Cloud customer service maturity model

This is immensely important, especially in the case of occasionally high loads, for example in the customer service of mobile service providers in case of a network outage or in e-commerce on Black Friday in e-commerce. When choosing a contact centre solution from the cloud, companies should consider these six criteria.

 

  1. Distributed Micro-services Architecture for Independent Clients

 

Although old cloud applications are, most of the time, multi-client capable, they are often designed as a set of interdependent components. Often, an error in one of the components also results as an error in other components. In a kind of chain reaction, several clients can fail – or in the worst case – all at once. To avoid this, a cloud solution should divide its functionality into many micro-services that is able to work independently of each other. For example, one micro-service handles voicemail messages while another distributes incoming calls. In addition, the micro-services are scalable independently. If a client needs to send a million e-mails at short notice, the capacity of the micro-service is automatically increased to handle this load without affecting the functionality of other clients. In addition, cloud solutions can be continuously updated with such an architecture, bugs can be quickly removed, and new features can be quickly imported without – as with conventional systems – having an effect on other system modules or clients. The entire platform can continue to be actively used by all users.

 

  1. Accessibility of important functions even without Internet

Customers today expect constant accessibility from their service centre and have no understanding of IT outages. Especially with cloud applications, the services must be reachable, even if the internet connection is interrupted there. This is possible, for example, via local components in the corporate network, which maintains basic applications such as a PBX telephone system, Interactive Voice Response (IVR), Automatic Call Distribution (ACD) and other functions even without an Internet connection.

 

  1. Integration into existing IT

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One of the big challenges of Cloud Contact Centres is the integration into the existing IT infrastructure. Often, users need to hold multiple passwords and login multiple times. Another obstacle is often the lack of synchronization with other systems such as Active Directory and Exchange. As a result, employee accounts must always be created, deleted and managed separately. In addition, integration with customer relationship software (CRM), such as Salesforce, often requires customization of the contact centre software and experiences additional costs with each software update.

A cloud-based contact centre solution that communicates with the company on the basis of certificates and encrypted networks can help here. With ready-made plug-ins for the most common systems, it can be synchronized with an Active Integrated Directory, Exchange, SharePoint, Salesforce, SAP, SQL Server, Oracle, and many more. The overhead is reduced and all data is always up-to-date and easily accessible to contact centre employees, whether they are in the enterprise network or in the cloud.

 

  1. Easy and fast configuration

Contact centres from the cloud are also attractive for small and mid-sized businesses, which can save significant IT resources. However, these companies often need to be extremely flexible and can quickly deploy new solutions. Also for companies that want to grow strongly, a cloud solution is suitable: New locations or even newly acquired companies can be quickly integrated into the network. With a cloud solution, all features are available over the Internet, eliminating the need for costly MPLS connectivity or local enterprise network installations.

 

  1. Independence from a fix location

The workplace of the future is more likely to be part of classic offices. According to a Bitkom survey, a good four out of ten companies (43%) expect the proportion of home office employees to continue to rise over the next five to ten years. Business software should, therefore, be reachable from any location via a web interface and an internet connection. Multinational companies also need a multi-language version and compliance-compliant data management.

 

  1. Multiple security systems

Especially with cloud applications, there are still numerous concerns about security issues, which puts breaks in use of cloud computing. In order to promote cloud use in Europe, the European Union Agency for Network and Information Security (ENISA) has published a guideline for assessing security risks and data protection. These ENISA recommendations provide a very good orientation for quickly, inexpensively and professionally finding a secure cloud provider that adequately implements existing security concepts.

Cloud providers are also helping to address the concerns and benefits of cloud solutions. Modern cloud solutions work end-to-end with encrypted data so that no outsider can access or hack them. Also, such solutions provide the option for more secure access to sensitive corporate data that resides not on the cloud but on the corporate servers.

Companies that consider choosing a cloud contact centre solution that meets their needs with these six criteria are able to provide consistently good service to their customers, make for happier employees, stay agile and are well prepared for fast growth. And when done right, however, the enterprise can have a unique customer culture and a sustained competitive advantage over the long-term.

The Digital Revolution starts in the head!

 

Digitalization in business means much more than just the introduction of new technologies or business models. In the meantime, many companies have come to the conclusion that digitization not only means the implementation of new processes and the use of state-of-the-art technologies but also requires strategic thinking models.

 

The success of digitization poses many challenges for many companies. The digital transformation of individual processes and areas in order to survive and compete in a digital competition with other companies is often the digital alternative to inactivity and postponing. One thing should be clear to everyone: inactivity and be postponing is not an option. However, the mistake should not be made to regard digitization as just a new technological approach. It is more promising to understand digitization as a cultural change and to transport it to all employees in order to enable a holistic implementation.

 

According to a recent study by McKinsey, the services of digital transformation have yet to become fully mainstream. On average, industries are less than 40% digitized, despite the deep penetration of these technologies in media, retail, and high tech, healthcare. Results show that some companies have now drawn their conclusions from their first digital failures. The biggest mistake that has emerged is the lack of cultural change in companies. Added to this are the frequently existing silo structures and inadequate digital strategies or even a lack of understanding by employees for digital trends. At the beginning of their digitization strategy, many companies ask the questions: ‘What does digitization mean for our business?’, ‘How digital is our company already?’, ‘What potential exists for our industry?’, ‘What will the ROI of these digital revolution’?

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Businesses need to define what digital maturity they already have and how much existing staff can handle and implement the challenges they’ll face. The best employees to successfully realize a digital transformation are not necessarily the most technically skilled IT people. It is important that those involved in strategic planning, in addition to a mature digital competence, also have the will and a corresponding perseverance to identify with the relevant issues, to drive them forward and persist even on dry spells and not give up immediately. Also, we must not ignore the outstanding role of CEO in driving the digital-transformation process. The process needs to start from the top. Companies need to change structures. The only one who can do it is the CEO. He/She needs to embrace the topic and make it a priority. He/She needs to consistently communicate to the organization, act decisively, empower people who help drive the transformation and also sideline people who are in the way. Very important point is that there is no return ticket, and this is what a CEO needs to radiate.

 

If appropriate, companies should designate a strategic digital team from different areas. The appointment of such a team should also involve neutral, non-industry ‘digital talents’. These bring an extraordinary and new – mostly external – perspective for the company and can significantly contribute to the success of digitization.

 

The most successful teams see the transformation that digitization requires as an opportunity and a challenge. They enjoy developing new things for internal and external customers and are driven by their affinity to new and especially digital topics. It’s clear the impact of these revolutions will bring profound changes in many areas, including the localization of production, impacts on global trade, the nature of the workforce of the future, and the distribution of wealth. While the good news is that these changes will play out over years and decades, the bad news is that they require deep and fundamental changes in companies. While some of the projects are certainly overestimated in the short term, the long-term impact has most certainly been underestimated.

 

For a successful digital implementation in companies is not necessary to assign these tasks from the very top level and to put themselves on hold. Rather, it is necessary to ‘digitize’ the corporate culture, so that the implementation can be supported by the entire workforce. Digitization should not be transferred purely to specialist areas but should be thought through from the very top, planned and, above all, exemplified. Also, to successfully navigate a path through the array of strategic challenges and options, companies must separate hype from reality and come to grips with how technological change affects companies. Only then can they consider what must be done and how to go about it.

Smart Cities – Privacy, Security, #CyberAttacks and #DataProtection


Smart city components

“Smart cities” is a buzzword of the moment. There is currently no single accepted definition of a “smart city” and much depends on who is supplying the characteristics: industry, politicians, civil society and citizens/users are four immediately and obviously disparate sets of stakeholders. It is easier perhaps not to define smart cities but to elaborate their key features in orser to better understand this concept. The connecting key infrastructure that is most often mentioned as making cities “smart” includes:

 

  • networks of sensors attached to real-world objects such as roads, cars, fridge, electricity meters, domestic appliances and human medical implants which connect these objects (=IOT) to digital networks. These IoT networks generate data in particularly huge amounts known as “big data”.
  • networks of digital communications enabling real-time data streams which can be combined with each other and then be mined and repurposed for useful results;
  • high capacity, often cloud-based, infrastructure which can support and provide storage for this interconnection of data, applications, things, and people.

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Scanning through numerous smart city projects and initiatives undertook, eight key activities can be identified that often define a smart city, ie: smart governance, smart infrastructure, smart building, smart connectivity, smart healthcare, smart energy, smart mobility and smart citizens.

 

A European survey shows that the benefits of smart cities are obvious, but IT security and technological challenges are a major barrier to their acceptance. Ruckus, a network connectivity provider, has published the results of its Smart Cities Survey with UK market research firm, Atomik Research. The survey surveyed 380 European IT decision-makers from the public sector.

 

The aim of the study is to understand the attitudes towards the implementation of smart city concepts and to learn what opportunities they offer to the industry. The majority of respondents (82%) believe that smart city technologies are helping to increase citizens’ security and reduce crime rates, for example via smart lighting or networked surveillance cameras. Although the benefits seem to be well known, fears of cyber attacks are a major barrier to the Smart City. For 58% of the IT decision makers surveyed, the biggest problem is followed by a lack of technology infrastructure and funding.

 

Benefits of citywide connectivity

 

The survey results show that the infrastructure and technology platforms created for Smart Cities could be used to add significant value to the public sector and to develop innovative applications that directly address citizens’ needs. Other areas that benefit from the smart city model include local health (81%) and transport (81%), which provide greater access to public services for citizens through extensive networking. According to IT decision-makers, smart city concepts also provide crucial benefits for the security of citizens (72%), public transport (62%) and the health service (60%).

Nick Watson, vice president of EMEA at Ruckus, said: “A basic understanding of the benefits to citizens shows that policymakers are aware of the benefits of this technology. As the return on investment becomes clearer and smart cities become more and more commonplace, targeted advocacy will allow organizations to work together to make the city of the future a reality. Of course, given the amount of sensitive data that could be divulged, it is not surprising that security concerns play a big role. Only a           secure, robust and reliable network will allow to address these concerns and create a secure foundation for smart cities. “

 

Benefits of smart cities

 

The survey shows that the public sector is well aware of the added value that smart cities has to offer. Almost two-thirds (65%) of respondents said smart cities bring benefits. 78% of respondents said that they recognize that there are strong economic reasons for investing in smart city concepts. These reasons include firstly the credibility of a smart city (20%) and future infrastructure (19%). On the other hand, there is the related attractiveness, which leads to the resettlement of companies (18%) and suggests that the true value of smart cities lies in generating revenue and boosting the local economy.

These findings are a positive step towards ideal framework conditions in which smart cities can successfully develop. To make smart cities a reality across Europe, it takes an overarching approach involving all departments of a city. However, the Ruckus survey also found that isolated projects (39%) still pose a major barrier to smart cities.

Although lack of funding is seen as the third most obstacles to rapid implementation, 78% of respondents across countries expect to have the budget for smart city solutions by 2019. This should also be facilitated by promotional announcements such as the Wifi4EU program. It gives cities the security that the infrastructure will be available to support smart technologies.

 

Overcome barriers

 

To provide these services, a stable public WiFi network is crucial. 76% of respondents agree that this is the most important factor in successfully implementing smart city concepts. 34% agree that Wi-Fi is more important than a wired network. Wi-Fi is probably the preferred infrastructure because people are familiar with it and it gives everyone access to information. If you want to be able to connect with your citizens and use the services you offer more effectively, you need a suitable infrastructure to connect with the public in a way that benefits them.

WLAN is the “glue” for intelligent cities’ network. It makes it easier to distribute the load and reduces connection problems. The access point at the edge of the network is the ideal interface that acts as a message broker by delivering traffic, performing and returning simple data processing, and placing the software through controllers.

However, not all WLAN technologies are the same. Power supply (53%), interference (52%) and backhauls (45%) are the biggest obstacles to setting up a public WLAN infrastructure. 51% of IT decision makers called the consolidation of existing networks as another crucial obstacle. This is particularly important because the number of connected devices is increasing at a time when existing networks are not prepared for the exponential growth of data consumption. IT decision makers have the clear task of choosing the right technology partner to meet the technological needs of their city.

For Ruckus, the findings of this study are an opportunity to engage in dialogue with various public-sector organizations on how smart city technologies and a public Wi-Fi network can add value. The survey shows that WLAN is considered necessary for the creation of smart cities because:

  • It gives access to everyone information (71%);
  • it delivers the necessary infrastructure to offer additional services (70%);
  • it overcomes the digital divide between citizens (67 percent);
  • it is cheaper for governments (61%);
  • it could lead to better service (37%);

The research shows that Wi-Fi is a key contributor to helping smart cities deliver reliably and sustainably, but along the way, European policymakers still have some obstacles to overcome. It is reassuring to see that there is a widespread belief that smart cities add value to society. But if the government and the public sector are not investing in the right technology, then they risk missing the numerous opportunities for cities, citizens and themselves.

Survey : Is #CyberSecurity just a discussion topic or a Top Priority?

A Fortinet survey reveals that #CyberSecurity isn’t a top management priority for nearly half of IT decision makers. Respondents believe that the shift to the cloud as part of the company-wide digital transformation will focus more on security.

 

Fortinet announced the results of its new Global Enterprise Security Survey on corporate enterprise security. The survey results show that despite spectacular cyberattacks, nearly half of IT professionals in companies with over 250 employees complain that cybersecurity board members do not give them enough priority or attention. At the same time, however, many IT experts expect the topic of security to become more important as a result of the shift to the cloud as part of the digital transformation within the company.

 

Focus on Cybersecurity

 

Christian Vogt, Fortinet’s Senior Regional Director, said: “Over the years, we’ve seen companies invest more in cybersecurity and more senior executives see it as part of the overall IT strategy. With digital transformation in business and adoption of technologies like the cloud, cybersecurity is no longer just an IT investment, but a strategic business decision”.

 

 

In today’s digital economy, the issue of security, for more and more corporate management, must be a high priority in the basic handling of risks. Only such risk management strategy can better position companies to successfully master their digital transformation.

 

Main results of the survey

 

 

Is Cybersecurity an investment

 

  • 48% of IT decision makers confirm that Cybersecurity is still not one of the top priorities of senior management. However, this isn’t really reflected in the budgets.
  • 61% of companies said they spend over 10% of their IT budget on security, which is considered as a high investment.
  • 71% of respondents said that their IT security budget had risen compared to the previous year.
  • 77% of respondents want the cybersecurity board to better test IT security. IT decision makers are firmly convinced that cybersecurity should be given high priority by management.

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Main reasons why cybersecurity is becoming a top priority

 

The strongest impact on IT investment decisions is the need for ongoing improvements to the IT security infrastructure, which 77% of respondents, IT decision-makers, identified as an important factor.

 

cybersecurity a priority

 

  • In the last two years, 85% of the surveyed companies reported an increase in security breaches and global cyber attacks. The most common attack vectors were malware and ransomware and data breach: 47% of respondents said they had experienced such an attack before.
  • 49% of IT decision makers reported a stronger focus on IT security after cyber attacks around the world, such as #WannaCry. With the scale and nature of global cyber-attacks, corporate leaders are increasingly concerned with security. Therefore, security is no longer just a discussion topic in the IT department.
  • 34% of respondents affirmed increasing regulation, such as #GDPR for European data, as another major reason for the growing awareness of security at the highest level.
  • Conversion to the Cloud Affects Security Priorities. By integrating the cloud as part of the digital transformation within the company, 74% of IT decision makers believe that cloud security is becoming a priority.
  • 77% of the respondents are convinced that cloud security – together with corresponding investments in security – is becoming increasingly important to the board.
  • As a result, half of the respondents (50%) want to invest in cloud security within the next twelve months.

 

About Survey:

 

The Fortinet Global Enterprise Security Survey 2017 was done by Fortinet in July and August 2017 to investigate companies’ attitudes towards security issues. The global study inquired IT decision makers with responsibility or insight into IT security. A total of 1,801 participants from 16 countries (USA, Canada, France, UK, Germany, Spain, Italy, Middle East, South Africa, Poland, Korea, Australia, Singapore, India, Hong Kong and Indonesia) anonymously participated in the survey.

 

Additional Resources

 

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

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

NBIOT CAPABILITIES

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

 

Standardized Radio Technology

 

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

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

 

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Narrowband networks for Europe

 

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

 

NB-IoT in the field test

 Target industry for NB-IOT

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

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

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

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

 

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

 

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

 

Step by Step GDPR

 

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

 

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

 

The five-phase framework for the GDPR

IBM’s GDPR Framework

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

 

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

 

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

 

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

 

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

 

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

 

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

The #BigData Evolution and Revolution in 2017

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

 

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

 

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

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

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

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

 

Why Big and why now?

 

3 factors explain the development of Big Data:

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

 

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

 

Sources of Data: 

 

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

 

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

 

Data visualization:

 

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

 

The data visualization allows to:

 

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

 

Big Data Uses: 

 

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

 

Understand customer and customize services

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

 

Optimize business processes

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

 

Improve health and optimize performance

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

 

Making intelligent machines

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

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

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

 

Develop smartcities

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

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

 

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

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