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IoT

Internet-of-Things-Trend-That-Revolutionizes-the-World

Internet of Things: The Trend That Revolutionizes the World

The solutions supported by Internet of Things (IoT) have evolved, and more and more industries use them to take the next level to their companies.

Technology has improved our lives in many ways, from the personal to the professional. The dynamics of coexistence have changed, and we need things to be increasingly straightforward and fast, and even automatic.

In the last five years, the solutions supported on the Internet have evolved, and the industries use them to take to the next level to their companies. Over time, the Internet of Things (IoT) has begun to make a real impact on the daily life of people and organizations as it modifies communication between objects and the functioning of cities. IoT refers to the digital interconnection of all kinds of everyday objects through the network.

At present, there are about 18. 000 million devices within the Internet of Things, and by 2020 that figure is expected to reach 50 billion. There is no doubt that the use of this tool worldwide is growing rapidly.

Practical use

To improve the efficiency of these devices, more energy-efficient sensors are being designed, including processors capable of managing large volumes of data and enabling predictive analysis, as well as allowing the assignment of unique addresses for each one of the objects.

It allows enhancing the capabilities of the IoT, giving value to the business world, which is largely based on the data collected and the possibility of making real-time decisions aimed at analyzing the information that these devices.

As an example of this, companies like the Israeli beer company Weissbeerger locates sensors on the connectors where the beer passes, so that the measuring strips record how much beer is drunk in a bar.

As soon as the product reserves are finished, the brewery receives a notification and, consequently, can launch a new delivery. Also, in the automotive industry, in vehicles such as BMW and VW, the sensors measure the overall condition of the car.

If certain parameters leave the frame, the service of the automotive manufacturer receives a notification, and an employee calls the owner of the car to make an appointment. A similar scenario is implemented by the Italian motorcycle manufacturer Piaggio which uses this technology to predict fault analysis that is reported to the manufacturer and the vehicle owner. And these are just a couple of brief examples of what is achieved with IoT.

In the case of the Port of Hamburg, one of the backbones of the region’s economy, it has managed to maintain port traffic and commerce after the implementation of the Smart Port Logistics project, which allows them to connect different actors of the place by mobile business cloud. The project uses SAP logistics to help them get real-time information from both the port and transportation companies, parking providers and other businesses moving through it.

It integrates data from several vehicles that are in the port and then this information is consolidated and analyzed through the SAP HANA Cloud platform.

One of the most emblematic cases of how the IoT impacts the economy of a country is the case of Trenitalia, the Italian train company that through lords installed on the trains has managed to optimize its maintenance process until achieving between 8% And 10% total annual maintenance costs.

People and things

According to a study conducted by consulting firm McKinsey, it is estimated that potential economic impact of the IoT would be 3.900 million dollars to 11,100 million dollars a year in 2025. It indicates that the technology will have a greater influence in the global value of the advanced economies.

However, their adoption in developing economies is huge and can account for almost 40% of the value of IoT. The Internet of Things not only focuses on the business world but also has the ability and the facility to get involved in any activity that people do in their daily lives.

According to a United Nations report, by the year 2020, the world will have increased its population to 7.7 billion people, and the connected artifacts will be 2 times greater to the global population. A fact that shows that this trend connects and brings together two worlds: people and things.

At present, running the washing machine from the office using an application for our mobile phone is a reality, as well as alerting the doctor about an abnormal situation from the cell phone, receiving cooking recipes based on food stored in the refrigerator, turn off the lights of the house while you are not there to save electricity or even have suggestions for changing mattress according to how we sleep – all this is and will be possible without time or place limits.

Considering all this and starting from the fact that the Internet of things is a reality, we must ask ourselves how we can take advantage of these new technologies to generate opportunities that allow us to be more competitive in a world that is constantly changing.

It is time to innovate and reinvent business models to respond to the accelerated and constant transformation of the market.

June 20, 2017 0 comment

Artifical Intelligence Technology

Here’s How Microsoft Helps Bring to Market the IoT Devices

written by learningsimplify

One of the greatest challenges in producing hardware connected to the market for IoT devices is a transition from state prototyping to that of commissioning large-scale business. This is why Microsoft wants to help companies specialized in the production device for the Internet of Things, providing them with special laboratories with highly specialized personnel.

Interested companies can bring their own hardware in one of three laboratories Things and Artificial Intelligence from Microsoft. Within two to three weeks, Microsoft comes up with a product ready for distribution. Microsoft also provides support for its cloud services to which it can lean on hardware developed in these laboratories.

It is a fascinating program not only because of such support from Microsoft for manufacturers of IoT devices but also because more and more companies realize that IoT moves from a prototype to a device ready to use.

The IoT/Microsoft AI labs save so much time because it includes equipment that can speed up the prototyping hardware, including the design and testing of printed circuit board. Compared to the standard procedures for testing these components, which can take several days, Microsoft’s labs can do the job in a day.

The presence of qualified engineers who provide help personally. Engineers are not only from Microsoft but also from Cisco, Dassault and Seeed Studio participating in this program in partnership with Redmond.

To become part of this program, interested companies must complete an online form by answering different questions (design type, the number of team members). Microsoft accepts participants if it considers a reasonable and exciting proposal.

Examples of companies that have benefited from the program are those of the New Sun Road, California-based company specializing in solar power systems, and Sarcos Robotics, a company that produces connected robots. In both cases, the IoT/Microsoft AI laboratories have proven critical to solve problems, overcome technical bottlenecks and get immediate support thanks to the engineers on-site.

Currently, these laboratories are located in Redmond (USA), Shenzhen (China) and Monaco (Germany), but Microsoft has already hinted that the possibility of expanding the program to other laboratories.

April 3, 2017 0 comment

4-practices-make-internet-of-things-more-secure

Breakthrough Technology Technology

4 Practices to Make the Internet of Things More Secure

written by learningsimplify

Manufacturers, companies, and developers are building a vast ecosystem populated with smart connected devices that allow them to take full advantage of this trend.

Imagine the world where all the connected devices around you help improve your health, save time and money, boost your well-being and make you and your employees more productive.

This is the ideal of the Internet of Things (IoT) based on the massive adoption of Internet, mobility, and social networking technologies. A dynamic that is permeating very fast to most sectors of industry.

Manufacturers of consumer devices and industrial equipment, automotive companies, service companies, and network and software developers are building a vast ecosystem populated with smart connected devices that allow them to get the most out of the Internet of Things.

These benefits also require careful analysis of the risks and tools that will build the trust of employees, customers, and users related to data privacy and security, which must be thought of throughout the entire journey that makes the information from the design of the connected devices.

Here are four practices that make IoT more secure:

The risk assessment

Developers should understand all possible vulnerabilities. Evaluation processes should cover privacy, security, fraud, cyber-attacks, and IP theft. Risk assessment is not easy, as cyber-criminals are continually working to launch new threats. As there is no solution for everything, it is advisable to go to a security expert at this stage.

Safety from design

It is key that the safety of the device is duly taken into account in the development phase. It involves including tamper-proof hardware and software inside the design.

Data security

Robust authentication mechanisms, encryption, and securely managed encryption keys must be included to protect the information in motion and stored on the connected device. Authentication is essential on connected devices. For example, when we open our connected car to our mobile phone we want to know that no one else can open it. To further enhance authentication, biometric data such as fingerprints and the iris scanner are increasingly being used to prove that we are who we say we are.

Life cycle management

Security is not a process that runs only once and then is forgotten. It is imperative that the devices of the Internet of Things are protected during the life cycle of the device, either a separate product or integrated into a vehicle.

It should be noted that the security of devices connected to the Internet of things does not depend on a single aspect but must cover different flanks: from device design, network, a secure ecosystem that incorporates reliable service management, data management, and regulatory compliance, as well as an informed user.

January 3, 2017 0 comment

5-Revolutionary-Technologies-Follow-2017

Breakthrough Technology Technology

5 Revolutionary Technologies to Follow in 2017

written by learningsimplify

Digital transformation is driving change on many fronts, which means IT professionals have a lot to face in 2017. As part of this march toward IT-based reinvention, technology leaders are monitoring some emerging technologies that they believe will be reagents for long-term innovation.

The 196 IT professionals who participated in Computerworld’s 2017 Tech Forecast survey focused on the Internet of Things (IoT), self-service IT, mobile payments, artificial intelligence, and Wi -Fi technologies like those that have the potential to affect their business.

Here’s a brief explanation of emerging areas, with ideas on how IT leaders are preparing to meet next year’s challenges.

IoT/M2M

Pundits projects that more than 26 billion devices will be connected to the IoT by 2020 and that more than half of the new business processes and systems will in some way imply IoT functionality by then. Today, corporate IT departments seem to be taking a measured approach, pursuing pilot projects rather than full-out deployments – a strategy that seems prudent in light of incidents such as device-driven DDoS attack in October, which wiped out a significant portion of the Internet.

In Computerworld’s Forecast 2017 survey, 20% of respondents said that the elements of the infrastructure supporting the emerging ecosystem of inter-device devices – IoT technologies, M2M systems, and telematics – collectively constitute the number one area of the new expenses. And another 20%, separately, said that this category appears as the disruptive technology that is likely to have an impact on their organizations in the next three to five years.

That said, only 13% of respondents stated that they are currently testing or piloting IoT projects, although 24% have projects underway or are expected to launch one in 2017.

If we leave security issues aside, the benefits of IoT remain vague. It can be seen as the great potential in the idea of harnessing the sensors to control everything from how long buyers delay in a particular exhibitor to the impact of greenhouse gasses on operations.

Self-service IT

Business users, empowered with easy-to-deploy cloud services and easy-to-use consumer technologies, are doing what they want, increasingly controlling technology deployments without IT oversight.

Instead of fighting such efforts, IT groups should consider the emergence of the so-called ‘shadow IT’ as an opportunity to unload some mundane work and be able to focus on more strategic initiatives. Implementing tools that help business users help themselves would free IT workers so they can work on other things.

22% of respondents in the 2017 Forecast survey said self-service IT was their companies’ most disruptive technology, an indication that IT organizations are beginning to capture and factorize IT self-service capabilities in their long-term plans.

For example, Washington State Department of Corrections self-service capabilities has improved the ability of 185-person IT staff to cover all the support needs of 9,500 penitentiaries effectively, employees, volunteers, and contractors. The IT helpdesk is now able to handle all the calls it receives – between 400 and 600 per day – mostly related to password reset and account access – thanks to a service management platform and a knowledge portal which allows users to solve common problems on their own.

The reconfigured self-service portal accepts users’ emails, automatically inserts default themes in the subject line (such as “Reset my password in SAP-GUI”), and responds with relevant data from the knowledge base. It provides an instant benefit, as well as coverage for 24 hours a day and seven days a week, prison time.

Mobile payments

As the smartphone transforms from a communication tool into a lifestyle device, businesses that sell things to the public are starting to adopt mobile payments as a prerequisite for doing business, especially if they are trying to get the attention of millennials and consumers in urban areas.

According to research by Pew Charitable Trusts, nearly seven in ten adults have smartphones, and having one is the most common catalyst for adopting some form of mobile payment. Of the people who already use a mobile payment tool, 72% are Millennials or Gen X, and most live in metropolitan areas, have bank accounts and have college degrees, according to Pew research. Younger people see the value of mobile payments for a variety of reasons, from convenience to their desire to cash in on incentives and reward offers.

For organizations that sell products to this demographic, mobile payment tools have advanced in the list of IT project priorities. In Computerworld’s Forecast 2017 survey, 20% of respondents cited mobile payments as the most disruptive technology in their records.

Monical’s Pizza has adopted the mobile payments thanks to the demand of its university students clients. In addition to allowing customers to use a number of mobile payment options, including Apple Pay and Google Wallet, the chain is also investigating the use of mobile applications to help customers manage gift cards and direct sales to independent stores with electronic incentives.

Artificial intelligence

As has ever happened with the material from successful summer films and science fiction novels, artificial intelligence and knowledge-based systems are leaking into business thanks to emerging technologies like IoT and big data, and are popularized by high-profile initiatives such as some of the projects that IBM has undertaken with its Watson platform.

A recent study by Stanford University looked at how artificial intelligence and smart technologies will affect life in 2030 in eight categories, from employment to health and transportation. In their conclusions, they argued that artificial intelligence will boost advances in autonomous vehicles and air transport drones that will change both travel and city life; In health care, intelligent sensors will be people’s lifesavers, helping to monitor vital signs and collect data on blood pressure, glucose levels and more.

As a result, in Computerworld’s Forecast 2017 survey, 19% of respondents said they believed that artificial intelligence and knowledge-based systems were the most disturbing technologies on the horizon for years to come.

In the business sector, companies are exploring how artificial intelligence doubles in business and automation applications – primarily through the use of predictive analytics. However, despite the potential of artificial intelligence to climb the fence and bring efficiency to customer service, business operations, and even cybersecurity, it is still too early.

Next generation Wi-Fi

The vision of a connected universe of intelligent homes, cars, and cars has paved the way for a new iteration of Wi-Fi technology, one specifically designed to support low-power and long-range The IoT applications.

An emerging wireless protocol known as Wi-Fi HaLow, based on the IEEE 802.11 development standard and promoted by the Wi-Fi Alliance, promises to double the range of standard Wi-Fi connections and take advantage of the 900MHz portion of the spectrum to overcome obstacles, such as walls, and cover long distances to deliver energy-efficient connectivity.

In addition to numerous security and interoperability enhancements, HaLow is said to be able to support thousands of devices per access point, making it much easier for municipal officials, businesses, and individuals to track all possible connected access points.

Although Wi-Fi HaLow is still in its infancy and certified products are not expected until 2018, IT organizations are already feeling the pressure of putting the next-generation Wi-Fi roadmap in place. In Computerworld’s Forecast 2017 survey, 18% of respondents named next generation Wi-Fi as the most disruptive technology they will have to deal with for the next three to five years.

December 20, 2016 0 comment

Data Security Technology

5 Computer Security Predictions for 2017

written by learningsimplify

As we approach the end of 2016, Check Point has listed the five trends in security that will characterize in 2017. Last year in November, Check Point had done the same view of 2016, listing emergence of sophisticated malware, mobile attacks, attacks on critical infrastructure and the Internet of Things as the top priority.

Here are the top lists for 2017:

Mobile

Since the attacks on mobile devices continue to grow, we can expect that cyber-attacks on companies originating from mobile devices will become a major concern of security for companies.

The recent discovery of three zero-day vulnerabilities in iOS, following the attempted attack on the phone of an activist for human rights, highlights how quickly the industry surveillance and mobile cybercrime is expanding. The need of the hour for companies are to protect your mobile device against malware, interception of communications and other vulnerabilities.

Convergence between IT and OT

During the next year, we expect to see further spread of cyber-attacks on industrial IoT. The convergence of information technology (IT) and operational technology (OT) is making it both the most vulnerable areas, in particular, that of the operating technology of SCADA environments.

These environments often run older systems, for which patches are not available or are not supported by the vendors. Many critical industrial control systems are open to the Internet, and a recent report found that more than 188,000 systems in 170 countries were accessible in this way.

More than 91% is remotely exploitable by hackers, and more than 3% has exploitable vulnerabilities. Manufacturing, as an industry, will have to extend the systems controls and physical security in the logical space and implement prevention solutions threats in the IT and OT environments.

Critical infrastructure

Almost the entire infrastructure, including nuclear power plants, electrical grids and those for telecommunications, have been designed and built before the advent of the threat of cyber-attacks. In early 2016, it was reported the first blackout caused intentionally by a cyber-attack.

Those responsible for critical infrastructure security must, therefore, prepare for the possibility that their networks and systems can be attacked in a systematic way by different actors such as other states, terrorists, and organized crime.

Threat prevention

Speaking of businesses, we expect that the ransomware will become as popular as DDoS attacks. Like the DDoS attacks, infections ransomware can lock the daily operations of a company and their mitigation requires a multi-layer prevention strategy, including sandboxing and extraction techniques of advanced threats.

Companies will need to consider various alternatives to address the people throwing the ransomware campaigns. Collaborative strategies such as stops coordinated with industry colleagues and law enforcement will be crucial. While paying a ransom is never recommended because it encourages future attacks, it is sometimes the only option for recovery of data and the ability to work.

Therefore, the availability of financial reserves to speed up payments will become increasingly common. We also expect more attacks aimed at influencing or silencing an organization with legitimate actors who are launching these attacks.

Cloud spread

Since companies always continue to keep more data in the cloud, providing a backdoor for hackers who want to access other business systems, an attack aimed to disrupt or shut down a major cloud service providers will have an impact on the business of all its clients.

Finally, we expect to see an increase in ransomware from direct attacks on the cloud-based data centers. As more and more companies are turning to the cloud, whether public or private, such attacks will begin to find ways to infiltrate this new infrastructure. Attackers can use the spread of encrypted files from the cloud to cloud or use the cloud as a multiplier volume.

November 20, 2016 0 comment

Artifical Intelligence Technology

Artificial Intelligence and the Future of Computer Security

written by learningsimplify

Artificial intelligence is discussed in several different contexts but in the world of computer science, it is defined as a machine that when given new information, it learns and adjusts its responses and behavior, making it more accurate and efficient.

Currently, there are new safety analysis solutions available as security systems for data management systems of computer events and analysis products such as “machine learning” to create representations to detect harmful or anomalous behavior within networks.

In computer security, a security model with machine learning features receive new traffic information within the network infrastructure. Security applications with artificial intelligence rely more and more on machine learning, the cornerstone of artificial intelligence. This will create new realities for predicting computer intrusions before they occur.

The industries that take more advantage of artificial intelligence applied to computer security are dedicated to malware detection, safety analyzes of Big Data, end points protection to companies and security solutions for the Internet of Things (IoT).

The artificial intelligence will be crucial to the concept of computer security within 30 years. Currently the way technology evolves is very fast. In 10 years, we will see applications that predict behavior with high accuracy rates in almost all aspects of our life in relation to computer (prediction IoT), especially in security.

Network infrastructures that are equipped with this technology will be able to anticipate intrusions and take immediate corrective action in automated way to defend and mitigate any possible damage. All without human intervention.

Various companies such as Gigamon actively involved in this type of technological developments, being a key enabler of this type of security predictive artificial intelligence installed at the factory. They provide all the information required to perform sophisticated safety analysis including those involving models of machine learning and artificial intelligence metadata.

October 23, 2016 0 comment