Internet of Things

Ophel Mobility Technologies

  • Machine learning tasks are classified into several broad categories. In supervised learning, the algorithm builds a mathematical model of a set of data that contains both the inputs and the desired outputs. For example, if the task were determining whether an image contained a certain object, the training data for a supervised learning algorithm would include images with and without that object (the input), and each image would have a label (the output) designating whether it contained the object.
  • In special cases, the input may be only partially available, or restricted to special feedback.[clarification needed] Semi-supervised learning algorithms develop mathematical models from incomplete training data, where a portion of the sample inputs are missing the desired output.
  • Thanks to cloud-computing services, users can check their email on any computer and even store files using services such as Dropbox and Google Drive. Cloud-computing services also make it possible for users to back up their music, files and photos, ensuring that those files are immediately available in the event of a hard drive crash.

  • What is internet of things (IoT)?

    The internet of things, or IoT, is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers (UIDs) and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.

  • How IoT works?

    An IoT ecosystem consists of web-enabled smart devices that use embedded processors, sensors and communication hardware to collect, send and act on data they acquire from their environments. IoT devices share the sensor data they collect by connecting to an IoT gateway or other edge device where data is either sent to the cloud to be analyzed or analyzed locally. Sometimes, these devices communicate with other related devices and act on the information they get from one another. The devices do most of the work without human intervention, although people can interact with the devices -- for instance, to set them up, give them instructions or access the data.

  • IoT security and privacy issues

    The internet of things offers a number of benefits to organizations, enabling them to

    monitor their overall business processes;

    improve the customer experience;

    save time and money;

    enhance employee productivity;

    integrate and adapt business models;

    make better business decisions;

    generate more revenue.

  • Consumer and enterprise IoT applications

    There are numerous real-world applications of the internet of things, ranging from consumer IoT and enterprise IoT to manufacturing and industrial IoT (IIoT). IoT applications span numerous verticals, including automotive, telco, energy and more.In the consumer segment, for example, smart homes that are equipped with smart thermostats, smart appliances and connected heating, lighting and electronic devices can be controlled remotely via computers, smartphones or other mobile devices

  • IoT security and privacy issues

    IoT security and privacy issues The internet of things connects billions of devices to the internet and involves the use of billions of data points, all of which need to be secured. Due to its expanded attack surface, IoT security and IoT privacy are cited as major concerns. One of the most notorious recent IoT attacks was Mirai, a botnet that infiltrated domain name server provider Dyn and took down many websites for an extended period of time in one of the biggest distributed denial-of-service (DDoS) attacks ever seen. Attackers gained access to the network by exploiting poorly secured IoT devices. Because IoT devices are closely connected, all a hacker has to do is exploit one vulnerability to manipulate all the data, rendering it unusable. And manufacturers that don't update their devices regularly -- or at all -- leave them vulnerable to cybercriminals. Additionally, connected devices often ask users to input their personal information, including names, ages, addresses, phone numbers and even social media accounts -- information that's invaluable to hackers.However, hackers aren't the only threat to the internet of things; privacy is another major concern for IoT users. For instance, companies that make and distribute consumer IoT devices could use those devices to obtain and sell users' personal data.



Managed Services Versus Traditional IT Support

Reactive
Proactive
ReactiveManaged Services operate quite differently. A managed service provider is continually and proactively monitoring and making changes to your IT systems to ensure that things do not go wrong in the first place. Proactive. Traditional IT Support gives you access to a team of experts who are ready to solve your IT woes. This is typically a reactive support model where the customer would contact the IT support company when something goes wrong, or is not working as expected.
Proprietary. There are intelligent systems in place that enable the help desk staff to start working on fixes behind the scenes and ensure you remain productive without ever knowing there could have been a problem in the first place.Managed Services will also have in place dedicated resources (we call this our ‘Net Admin Team’) that are continually working on improving and streamlining your systems to ensure maximum performance enabling productivity. Open.To be fair, there are often some proactive elements in place that will alert the IT Support company such as an alert for a failed backup or the fact that a server has gone down. However, these are normally picked up at the time the event happens or if overnight not responded to until the following morning.
Historical reporting.The Net Admin team are working on improving your system and not picking up on known problems. The result of course is less problems and less cost.This is the huge difference between the two types of IT support – Managed Services have dedicated resources for performance and reliability and do not just for responding to problems as they occur. Predictive analysis.The fix though is reactive in that it is not until it has happened that the IT support company will then attempt to resolve or fix the issue.
Pricing for Managed ServiceManaged Services pricing is very different. It involves a transparent and fixed monthly fee for only the equipment and devices you have at any time. So if your company unexpectedly downsizes and you lose 5 members of staff who were using PCs there will be direct effect on your costs. You truly only ever pay for what you use in any given month.In a Managed Service model, help desk tickets are created on your behalf automatically and the same Service level agreement (SLA) response times are applicable (15 mins for business limiting). Pricing for traditional IT Support Pricing for traditional IT Support varies and comes in different flavours. Some negotiate an annual fee for unlimited access to a help desk. These are often then renegotiated each year based on how many calls were previously logged with the support desk.Some pre-pay for block hours and draw down on them as and when the customer needs them. This offers a low cost entry in IT support and access to a help desk only when you really need it. This model can suit much smaller companies who do not rely on their IT systems being operational in order to do business.


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