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What is Edge Computing and why does it matter for the Internet of Things

 

What is Edge Computing and why does it matter for the Internet of Things

Possibilities are that you have already heard the term “edge computing” as many organizations use it in their daily business when it comes to handle, process and deliver data from millions of devices around the world. Multiple definitions of edge computing can be found on the internet, but I like the one from Gartner.

 

Gartner defines edge computing as “a part of a distributed computing topology in which information processing is located close to the edge – where things and people produce or consume that information.” “The emerging category of edge computing has been steadily rising in importance and maturity, and 2020 will be the most interesting year yet for vendors and users in this exciting space,” Forrester  said on Forbes.

 

The IoT is having a significant role in the digital transformation of organizations and industries. The explosive growth of IOT, mobile computing along with new applications that require real-time computing power, either to receive information from the cloud or deliver the data back to the cloud are the main reason of edge-computing systems’s growth.

The amount of data generated by digital devices is escalating day by day as 127 new IoT devices are connected to the web every second. The installed base of active Internet of Things connected devices is forecast to reach 21.5 billion units by 2025. IoT applications important growth place challenging demands on the IT infrastructure. It requires the lowest latency with the highest scalability, reliability and availability. This explains the fact that edge computing has become a special and increasingly important discipline within a network infrastructure.

 

One of the biggest benefits of edge computing is the ability to process and store data faster, enabling for more efficient real-time applications that are critical to companies. As the distributed, open IT architecture of Edge Computing processes a lot of data in real time directly on site and thus drastically reduces the bandwidth requirements and the latency times that inevitably arise during data transmission and data processing in a data center. And regardless of whether an in-house or a cloud data center is used.

 

At the same time, the high and constantly growing data volume and the increase in critical applications at the endpoints (edge) mean that the quality features typical of a data center such as scalability, reliability and high availability are also indispensable for edge infrastructures. Therefore, edge computing and the IOT are the perfect match for several reasons.

Apart from simplifying the data processing at the edge of a network, close to the sensors, and thus avoids the issues of sending all the data directly to the cloud, edge computing in the IoT environment is characterized by these four advantages compared to cloud and data center-centered approaches:

 

Speed

The longer it takes for data to be processed, the less relevant it becomes. Not only, edge computing reduces the total volume of data traffic and thus increases the performance of applications and services, but also makes latency-sensitive applications possible, for example autonomous driving, which would not be possible with data center-based data processing or in areas with insufficient network coverage.

 

Security

The number of IoT devices is constantly growing. This makes them increasingly targets for potential network attacks. Due to the centralized structure, cloud computing is vulnerable to DDoS attacks and failures. Edge computing, on the other hand, distributes applications and processes across different devices, making it much more difficult and complex for attackers to infiltrate the network. Edge computing can also filter sensitive information and, if necessary, only transmit uncritical data in order to meet security and compliance requirements. This means that less data can be intercepted, which makes compliance with security standards easier.

 

Cost

By its nature, the edge is closer to the IoT device than the core or cloud. For IoT use cases, connecting thousands or even millions of devices directly to the cloud is often not feasible due to costs, privacy, and network issues. But, with edge computing, the data can be filtered at the point of origin and does not have to be sent to a data center. Companies therefore have the choice of using the perfect mix of local services and cloud-based applications for a cost-effective IoT solution. Data processing and storage in edge devices reduces the expensive bandwidth requirements and thus optimizes the overall costs.

 

Scalability

Edge computing enables companies to expand their capacity requirements at any time and efficiently by combining IoT devices and edge data centers. The use of edge devices optimizes the scaling costs because processing is decentralised and each additional device is associated with a far lower bandwidth with less load placed on the network.

 

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Twitter’s Massive Hack 2020 : Reminder on Social Media Security Tips

One of the biggest twitter hack happened last Wednesday in which several large Twitter accounts  belonging to the billionaire Bill Gates, former US President Barack Obama, Tesla boss Elon Must, Apple, Joe Biden among other were hacked. Similar tweets soliciting donations via cryptocurrency Bitcoin were sent from hacked accounts.

 

Barack Obama Joe Biden Elon Must

 

PVV leader Geert Wilders’ Twitter account was also hacked, although it is not clear whether the people behind this hack belongs to the same group or not. Wilders’ profile picture was replaced with a caricature of a black man and his account has been retweeting conspiracy theories. So far no money has been asked for on his page.

In addition to that, accounts from multiple companies sent tweets that were not originally from the company itself. For example, the account of Apple and Uber has been asked to transfer bitcoins. If people would transfer 1000 dollars bitcoins in half an hour, they would receive $ 2,000 in exchange. “Giving back to the community,” was the headline.

 

According to Twitter, the hackers gained access to Twitter employees who have access to the platform’s internal systems. Through that they got access to the verified accounts and hijacked them. Once Twitter became aware of the hack, it immediately locked down affected verified accounts and removed the tweets posted by the attackers. As a precaution, Twitter also limited the functionality of all verified accounts. “This was disruptive, but it was an important step to reduce risk. Access will be restored to original account holders only when we are certain we can do so securely.”

 

In a tweet on Wednesday, CEO Jack Dorsey said « it was a tough day for us at Twitter. We all feel terrible this happened. We’re diagnosing and will share everything we can when we have a more complete understanding of exactly what happened.”

Twitter Support twitter hack

 

It brings us to think how we can stay untouched if hackers can get access to the verified accounts. Just imagine if hackers would also have access on everyone’s DMs how much personal information that they shared via private messages would also have been leaked.

 

So, whether you use your social media account to stay in touch with family/friends or for business purpose, such as brand awareness, grow a large audience, increase your website traffic, generate more leads, connect with your audience in a better way, make more sales and more money, social media may become a critical part of your everyday life. With nearly half of the world’s population using social media platforms, they’re a natural place to reach new and highly targeted potential customers. According to Global social media research summary 2020, social media users are now spending an average of 2 hours and 24 minutes per day multinetworking across an average of 8 social networks and messaging apps.

summary of global social media users around the world

In today’s tech-savvy world, every business is showcasing what they’ve got and make the most of it on social medias. But unless they don’t optimally utilize the online security tools, they are going to be vulnerable to social media security risks like hacking and phishing attacks. Twitter has a large security department and they takes security very seriously, but even with proper training, a hack via social engineering can hardly be prevented. So here below are few reminder safeties tips to deal with social media security issues:

 

  • Use auto-updates to get the latest versions for apps, software and operating systems.
  • Don’t ignore the 2 factor authentification. It is much more difficult to hack your account if you’re using two-factor authentication on it.
  • Change your password frequently. Opt for a strong password instead of using your date of birth, your nick name, your favorite dessert or your pet name.
  • Use unique password for each social media account. Using same password for your twitter/Facebook LinkedIn or other social tools can be dangerous.
  • If you receive any specious link from your followers via email or inbox, don’t just ignore / delete it but always report and spam those accounts.
  • Run a monthly check to verify and block fake accounts as platforms like Facebook and Instagram are full of fake profiles. Those fake accounts can be a hacker, a suspicious organization who wants to monitor your activities.
  • Make a habit of checking your inbox and reading mails received from social media accounts. Many people often ignore those emails, but it might be a notification to alert you about a login attempt by a hacker.
  • Be aware before giving access to any third part apps. It should be clear that before you give an app access to an account, it’s important to understand the permissions it requests and what it does with the data it can access.
  • Create an informed social media policy for your staff against security risks and legal issues. Obviously, your team members will be careful with company information online but it’s important to remain vigilant and watch out for phishing and other social engineering attacks.

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COVID-19: Why RPA alone is not enough

COVID19 Why RPA alone is not enough

 

Robotic Process Automation (RPA) is demonstrating remarkable potential in enterprise deployments, saving thousands of hours each year, reducing wages costs and enabling people to focus on higher-value work. However, recent experience has shown that intelligent and agile automation of business processes requires more than RPA. The biggest problem with enterprise operations today is the simple fact that most firms only implemented RPA and believe that this technology is the only good solution for optimizing their routine processes. An RPA application often has to coexist with other applications supporting different workflows for handling huge digital workload while increasing productivity and reducing costs.

 

RPA is relatively easy and quick to implement technology and promises a strong ROI and is defiantly a helpful element for automating simple, repetitive tasks, especially in connection with legacy systems or documents. However, the current pandemic has shown the limits of this technology.

RPA imitates human behaviour that is repetitive and doesn’t require special knowledge, such as filling in the same information in multiple places, re-entering data, or copying and pasting content, screen scraping, opening emails and attachments, carrying out checklists, vetting contracts, moving files and folders, or reconciling processes as codified rules instruct the computer software ‘robots’ to perform human tasks within a process.

 
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As RPA directly integrates into existing / legacy infrastructure, the most common pitfall in its integration is the lack of strategy, governance, and planning. Robots, which act as digital assistants on end devices in the company and sometimes require the intervention of the employees, can only be made available for the home office with a lot of configuration effort. This is often not even possible due to the presence of legacy infrastructure. One the other hand, holistic, intelligent process automation offers the necessary flexibility and agility that goes beyond RPA and requires additional technologies such as artificial intelligence, case management and business process automation.

 

With the combination of RPA and BPA, companies can comprehensively digitize their entire customer processes, handle and orchestrate flexible units. Human and digital actions can be coordinated and controlled to create seamless end-to-end processes and this control can be quickly and flexibly adapted to new conditions at any time. As RPA does not stand on its own, organizations will need tools such as BPA for overall management of a business process. RPA cannot itself change process or optimize it, it only executes a process, but on the other hand BPA enhance the performance of an implementation of RPA by ensuring that the process being automated is optimized and delivering the required results. The goal of RPA and BPA is to create more efficient and effective workflows. However, both use different forms of automation.

 

With such flexible approach and technology stack, companies have significantly more options in situations like COVID19. For example, there would be the possibility of redesigning the process flows so that they integrate the home offices. Business applications can be adapted very quickly to the new working environment, since the underlying processes and system connections remain constant. This flexibility will not only pay off in crises but will also offer companies the possibilities benefit significantly from this in normal times. For example, when they have to react to new market requirements, with acquisitions and mergers or when certain departments can no longer be filled because the employees have retired and no young people can be found.

 

Therefore, firms need to set a clear vision, governance, and performance objectives when integrating and using RPA solutions to scale up their operations. stakeholders from IT, business, support, compliance, and HR must also be involved in order to ensure strategic alignment across the organization.

RPA – Robotics Process Automation Trends and Statistics for 2020

RPA Robotic Process Automation XORLOGICS

 

This year, many companies found their business growth through the smart interaction between human resources and supporting software robots as the direction is set towards digitalization and automation. The combination of RPA with artificial intelligence (AI) and machine learning (ML) is playing a huge role in the global economic environment.

According to a new report by Grand View Research, Inc. the global robotic process automation market size is expected to reach USD 10.7 billion by 2027, expanding at a CAGR of 33.6% from 2020 to 2027. In addition to that, in Gartner Top 10 Strategic Technology Trends for 2020, hyper-automation, autonomous things and AI security were at the top 3.

 

RPA is a type of IT solution that allows organizations to automate many of their tasks through the use of specialized software programs. Many business executives believe that RPA enables their companies to automate structured tasks that take just a few work steps and repeat themselves frequently – like transferring data from one IT system to another. RPA can relieve employees of tasks that consume a lot of time but do little to add value and are prone to errors – keyword typing errors. It also helps to automate routine jobs on the computer and processes to increase efficiency, improve service and save costs.

 

One should not think that RPA is similar to BPM. RPA only simulates human data entry and helps with simple and recurring tasks, to save time because the software does things in parallel that an employee can only work through one after the other. Such an application needs simple rules with few exceptions – and the biggest advantage is that, unlike humans, it runs around the clock. Unlike BPM which stands for describing, contolling, modeling, and optimizing the processes that are present in an organization.

 

Here below are the statists and trends of RPA that shows it’s worth:

 

    • RPA as an industry is growing exponentially– the global robotic process automation market size is expected to reach USD 10.7 billion by 2027, expanding at a CAGR of 33.6% from 2020 to 2027 – Grand View Research

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    • The RPA industry will grow from $250 million in 2016 to $2.9 billion in 2021. This is one industry that is growing at a lightning speed. It was already worth $1.7 billion in 2018 – Forrester

 

    • RPA will achieve “near universal adoption” in the next 5 years – Deloitte

 

    • By 2025, the market for collaborative robotics is expected to reach $12 billion – MarketsAndMarkets

 

    • By 2024, organizations will lower operational costs by 30% by combining hyperautomation technologies with redesigned operational processes. Gartner

 

    • The RPA fast adoption is helping business to reduce the operational costs and enhance overall customer satisfaction, improve transparency and visibility for service functions and reduce of manual efforts – Reportlinker

 

    • 11,214 results This is the number of open positions produced by a recent search for “robotic process automation”on LinkedIn’s jobs site. Titles vary within this growing IT jobs category, but “RPA developer” (and variations of the same) is an increasingly common one – reflecting the need for IT pros who can build the bots that enable organizations to offload repetitive, time-consuming tasks – LinkedIn

 

    • RPA deals with the application of advanced technologies including artificial intelligence (AI) and machine learning (ML), to increasingly automate processes and augment humans – Gartner

 

    • RPA is offering a lot of benefits to the business by giving access to collaborative intelligence where humans and technology works side by side so that they can perform their roles optimally. As employees don’t need to perform repetitive tedious tasks, they can be educated to work with automation tools and learn the latest business and marketplace information through machine learning – Xorlogics

 

    • The market for RPA in Healthcare is driven by the increasing demand to automate claims and process management. RPA vendors are focusing on developing best-in-class intelligent process automation bots – Research and Markets

 

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