Sunday, September 12, 2021

#exp

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Tuesday, September 7, 2021

here is today please yaar kaak 40+

In today's IT world, two different approaches to connected devices are making headlines. The internet of things (IoT), a much broader term for a new reality in which nearly everything we use has a chip inside it connecting it to the global internet, and machine-to-machine (M2M) processes, which focuses on connecting manufacturing devices and equipment in a physical production space.

 

Because of its vast, nearly infinite set of applications, the internet of things is obviously much more attention-grabbing and popular. Machine-to-machine technology is still primarily discussed in trade journals and in meeting rooms where executives discuss ways to improve industry processes. (Read 10 Steps to Strengthen Your IoT Security for more information on IoT security.)

 

With that in mind, there are some key similarities and differences between M2M and IoT. Both will play important roles in the future development of device connectivity services. They will all have an impact on the development of mobile apps, the ubiquitous carriers of wireless functionality.

 

What is Machine-to-Machine (M2M) and how will it affect mobile apps?

 

Machine-to-machine communications is based on the concept of making manufacturing processes and assemblies smarter by doing more with the machines and equipment that assist in production or monitoring on an assembly line or elsewhere in industry.

 

This method of industrial control has been around for a while, and while it has seen a lot of innovation, it still lags behind what the internet of things is doing in many ways, simply because its applications are limited.

 

"While it's unclear who coined the term, the origins of M2M communication can be traced back to the early 1970s, when Theodore Paraskevakos invented and patented "an apparatus for use in a telephone system" that "automatically transmits information from a calling telephone to a called telephone," writes Brian Ray of LinkLabs. "To put it another way, Paraskevakos was the first to invent Caller ID."

 

Rather than sending along bits of internet-connected data, machine to machine has been seen to use the network's control plane, where routing tables and other tools address network topology. In industry, this is demonstrated by the use of programmable logic controllers, or PLCs.

 

So, how does this affect mobile applications? M2M will be a guiding design metric for all of those apps that have users tapping, typing, and texting equipment, facilities, or environmental controls in industrial settings. M2M will almost certainly apply if you have a clean room app that requires blowers, heaters, and other equipment to work in unison.

 

What Is IoT and How Will It Affect Mobile Apps?

 

Although IoT is newer, there is a significant difference between M2M and IoT connectivity. The internet of things is powered by the data plane of a network's connected global internet over IP protocols. (Learn more about working with the Internet of Things in Job Role: IoT Solutions Architect.)

 

It's more difficult to describe how the Internet of Things works as a whole. The term "internet of things" is a bit of a misnomer. What is the internet of things, and how does it work? Some people mention OEM manufacturers and how they want to build internet connectivity into their products. Consider how smart your refrigerator, smartwatch, smart toaster, and smart dishwasher are. Consider your Fitbit and all of the other wearables that are connected to the Internet of Things.

 

The vast majority of these IoT devices have nothing to do with industrial or manufacturing processes. They're either consumer goods or items that aid in government or corporate administration. So, while machine-to-machine technologies connect machines that make machines, the Internet of Things connects the products of those assembly lines and, in general, creates a more connected world.

 

In terms of consumer mobile apps, the Internet

 of Things will assist us in unlocking tremendous power. All of these apps that previously only worked on smartphones will now be able to connect to smart refrigerators, dishwashers, and other appliances. As a result of this massive innovation, "seamless device following" will be possible, in which data tracks a user's physical movement to provide more personalised results.

 

What Does the Future Hold for M2M and IoT?

 

We can anticipate that both M2M and IoT will continue to evolve in the future. We can also anticipate M2M moving toward an IoT model, which will increase the versatility of these systems.

 

Traditionally, M2M systems were not frequently connected to the internet. They were very isolated and walled off from the global internet, and as a result, they were somewhat ossified. Companies can talk about security concerns, but as we see all of these other processes moving toward the global internet, there's really no reason why M2M wouldn't go along.

 

There's another key trend that we're likely to see, particularly in M2M technologies. That's the decoupling of the control plane from the data plane by utilizing software-defined networking approaches. Software-defined networking takes the control from the hardware and puts it in a software component on its own, so that the networks of the future can operate with more transparency and flexibility.

 

For instance, think about a wastewater treatment plant that uses specific M2M workflows from a proprietary vendor to manage grinder pumps, treatment stations and all sorts of other equipment and assemblies. The plant operators may be happy with their M2M infrastructure – but as time goes on, public planners will evaluate what's available and probably gravitate toward an IoT model that makes it easier to come in and change equipment processes as needed. If, on the other hand, a company sticks with specific M2M technologies, those technologies will get smarter and more automated to allow machines to do more. With sensor fusion and either modern M2M or IoT, new factory machines will be able to spot defects in products. They'll be able to move items according to very specific needs. They'll probably be able to manage inventories and even control facilities environments in very particular ways, all without human intervention. Our machines are getting smarter – and how we handle that evolution will be a defining characteristic of tomorrow's business world.

 

Again, M2M and IoT will both inform mobile apps, in their respective ways. M2M will move the mobile app in enterprise facilities use cases, and IoT will move it in most consumer-facing cases. Look for both of these trends to happen rather quickly as new connective technologies come online.

Sunday, September 5, 2021

post today

 

Together with the latest internet of things (IoT) devices, artificial intelligence (AI) has already begun to change the universe of insurance not only by making it more affordable, but by making accessibility and underwriting much better. There are some that even believe that someday, insurance itself might become a thing of the past. (Read also: How Explainable AI Changes the Game in Commercial Insurance.)

 

Machine learning paired with complex AI algorithms hold the ability to completely transform practically any industry. To say the least, the insurance industry is not an exception. Since its inception, the insurance industry has been powered by mathematics; originally only an underwriter could calculate reliable risk rates and offer acceptable payouts that would not shut down the insurance company.

 

With the advancement of AI, it is possible to employ it to repeatable operations that are based on logic and mathematics at a higher reliability rate than that done by humans. The true question is how the insurance industry will take advantage of AI, and how it will affect the future of the insurance industry.

 

The Present Profile

First things first – it is important to understand how much the advancements offered by AI and IoT have already been applied to the insurance industry.

 

• Big data and risk assessment – The majority of leading insurance companies are pairing their data analytics algorithms with some of the latest AI technology in order to improve the accuracy of risk calculations. The reason for this is that insurance companies need to have enormous quantities of data in order to improve their comprehension of consumer risk. (For more on big data in insurance, see How Big Data Is Helping the Insurance Industry.)

 

• Policies vs. usage – Insurance companies that have invested in modern technology often use usage-based calculations in order to determine the variance of the rate of an activity that is to be insured (e.g., driving your vehicle). With the use of connectivity and even high-tech sensors, it is becoming easier for insurance companies to fully comprehend insured activities.

 

• Settlements and virtual claims – Some insurance companies offer virtual portals where their clients can have their service questions answered and file an online claim with the aid of chatbots.

 

New Plans, Products and Policies

In a quite short time, the insurance industry will most definitely develop new plans, products and policies. Due to the fact that AI-powered algorithms will be able to gain access to more data points and their variables, companies will soon have the ability to create a large array of customized policies in almost real time. Today, the digital experience of most enrollees with their insurer is so unsatisfying that just 15 percent of them are happy about it.

 

The IoT allows insurers to increase their digital agility and make their products become more dynamic. Instead of spending countless hours browsing and shopping for the right policy among the existing ones, consumers will have a custom policy be presented to them based on their lifestyle, budget and habits. These new, highly customizable products could represent the solution through which different insurance companies will offer differentials to their customers and be identified in a different way than their competition.

 

Digital Changes

The strength that AI processing will gain directly depends on the size and the quality of data that is available to it. Simply put, the more information AI has about its customers, the better rate it is able to offer; it will not be limited to giving you the best kind of coverage, but it will also be able to give you a better price. By connecting with sensors and IoT devices, policies may change in real time by learning more about an enrollee's behavior and risk profile. Some apps already do that, such as Progressive's Snapshot or Allstate's Drivewise, which are able to account for hard braking or accelerating, and even detects the time a user spends on the phone while driving.

 

By 2025, experts forecast that there will be approximately 75 billion connected devices. The data that the connected devices generate is expected to allow insurance to adjust their rates in near real time. To exemplify how this could work, imagine that your car is connected and everything your car does is recorded. If you happen to go above the speed limit, this could perhaps increase your insurance rate by 1%, or it could even be lowered by 1% if you practice safe driving and actually stop at all stop signs. Digital changes will be recorded and will tend to be reflected in rates that companies offer their clients. Ultimately, this could result in lower rates for lower risk drivers, and probably, a better bottom line for insurance companies. (To learn more about tech in the insurance industry, see 6 InsureTech Trends to Know.)

 

The Customer Experience

Chatbots are a vivid reality in a number of sites. As connectivity, AI and technology advances, it is likely that we are not far from customers asking chatbots open-ended inquiries and getting specific and top-level responses. Some experts say that we are not far from being unable to tell the difference from human and AI interactions.

 

Insurance companies will probably offer a personal assistant app that helps you manage personal activities and inform you if you are improving your rate or not. Hopefully, these AI-powered assistants will guide you to saving more and avoiding the hassle of claims and penalties. In the event of misfortune, it is likely the personal assistant app will be able to guide customers through the steps of dealing with an accident or another kind of undesired incident.

 

Chatbots and virtual assistants may help users during personal activities, inform them if their ratings are increasing or if their behaviors are increasing their risk class. They may also help companies by avoiding false claims and, therefore, reduce all premiums.

 

Automation to Post-AI Evolution

It would be foolish to ignore the effects that AI will definitely have on the insurance industry. They will be quite similar to automation in the automotive industry. Many parts of insurance will no longer be done by humans. As this transition unfolds with AI and connectivity leading to autonomous cars sometime in the 2020s, the insurance industry and many others will be forced to evolve and adapt to new realities such as fewer accidents and even new ways of determining fault.

 

This transition needs to be aligned with automakers and insurance companies to make it work for everybody. It is a fact that auto insurance will shrink incredibly, but other kinds of insurance will be on the rise as well.

 

Conclusion

Since we are at the beginning of a profound transformation within the insurance industry, it’s hard to predict how much the advent of AI and IoT will change the insurance world. Some aspects of our lives are going to change so radically that we might not even need certain kinds of insurance in a more distant future.

post today 5/9/21

 

Two different types of approaches to connected devices are making headlines in today’s IT world. One is machine-to-machine (M2M) processes, which focuses on connecting manufacturing devices and equipment in a physical production space, and the internet of things (IoT), a much broader term for a new reality where nearly everything we use has a chip inside it connecting it to the global internet.

 

Obviously, the internet of things is much more attention-grabbing and popular because of its broad, nearly infinite set of applications. Machine-to-machine technology is still mostly talked about in trade journals and in rooms where executives figure out how to improve industry processes. (To learn about IoT security, check out 10 Steps to Strengthen Your IoT Security.)

 

With that in mind, M2M and IoT have some key similarities, as well as some important differences. Both will play major roles in the development of device connectivity services moving forward. Specifically, they will each have an impact on how mobile apps, those ubiquitous carriers of wireless functionality, are developed.

 

What Is M2M and How Will It Affect Mobile Apps?

The idea of machine-to-machine communications is built around making manufacturing processes and assemblies smarter by doing more with the machines and pieces of equipment that help with production or monitoring on an assembly line or elsewhere in industry.

 

This method of industrial control has been around for a while, and although it’s experiencing quite a bit of innovation, in many ways it lags behind what the internet of things is doing, simply because its applications are less broad.

 

“While it’s not clear who popularized the acronym, the roots of M2M communication date back as far as the early 1970s, when Theodore Paraskevakos invented and patented ‘an apparatus for use in a telephone system’ responsible for ‘automatically transmitting information from a calling telephone to a called telephone.’” writes Brian Ray at LinkLabs, describing M2M’s origins. “In other words, Paraskevakos invented the first Caller ID.”

 

Machine to machine has often been seen to utilize the control plane of the network, where routing tables and other tools address network topology, rather than classically sending along bits of internet-connected data. The use of programmable logic controllers, or PLC, in industry is an example of this.

 

So what does this mean for mobile apps? Well, in industrial settings, M2M will be a guiding design metric for all of those apps that have users tapping, typing and texting equipment, facilities or environmental controls. If you have a clean room app, where blowers and heaters and other equipment will have to work in automated tandem, M2M will likely apply.

 

What Is the Internet of Things and How Will It Affect Mobile Apps?

IoT is much newer – but there’s also a key difference between M2M and internet of things connectivity. The internet of things works through the connected global internet over IP protocols in the data plane of a network. (Learn about what it takes to work with the IoT in Job Role: IoT Solutions Architect.)

 

On the IoT side, it’s harder to collectively describe how this technology works. The “internet of things” is really a broad catch-all term. What is the internet of things? Some people talk about OEM manufacturers and how companies want to embed internet connectivity into manufactured devices. Think of your smart refrigerator, smartwatch, smart toaster or smart dishwasher. Also, think about your Fitbit and all of the different wearables that come connected to the IoT.

 

Most of those IoT items are not related to industrial or manufacturing processes. They’re consumer goods, or items that help with government or business administration. So the big dividing line is that while machine-to-machine technologies connect the machines that make the machines, IoT connects the products of those assembly lines and generally builds a more connected world.

 

The IoT is going to help us to unlock tremendous power in terms of consumer mobile apps. All of these apps that used to work through smartphones are going to be able to network with smart refrigerators, dishwashers, etc. Part of this massive innovation will lead to “seamless device following” where that data tracks a user’s physical movement to offer more customized results.

 

What's in Store with M2M and IoT?

In the future, we can expect that both M2M and IoT are going to continue to innovate. We can also expect that M2M is going to move toward an IoT model – because that makes these systems more versatile.

 

Classically, M2M systems were not often internet-connected. They were very isolated and walled off from the global internet, and as a result, they were somewhat ossified. Companies can talk about security concerns, but as we see all of these other processes moving toward the global internet, there’s really no reason why M2M wouldn’t go along.

 

There’s another key trend that we’re likely to see, particularly in M2M technologies. That’s the decoupling of the control plane from the data plane by utilizing software-defined networking approaches. Software-defined networking takes the control from the hardware and puts it in a software component on its own, so that the networks of the future can operate with more transparency and flexibility.

 

For instance, think about a wastewater treatment plant that uses specific M2M workflows from a proprietary vendor to manage grinder pumps, treatment stations and all sorts of other equipment and assemblies. The plant operators may be happy with their M2M infrastructure – but as time goes on, public planners will evaluate what’s available and probably gravitate toward an IoT model that makes it easier to come in and change equipment processes as needed. If, on the other hand, a company sticks with specific M2M technologies, those technologies will get smarter and more automated to allow machines to do more. With sensor fusion and either modern M2M or IoT, new factory machines will be able to spot defects in products. They’ll be able to move items according to very specific needs. They’ll probably be able to manage inventories and even control facilities environments in very particular ways, all without human intervention. Our machines are getting smarter – and how we handle that evolution will be a defining characteristic of tomorrow’s business world.

 

Again, M2M and IoT will both inform mobile apps, in their respective ways. M2M will move the mobile app in enterprise facilities use cases, and IoT will move it in most consumer-facing cases. Look for both of these trends to happen rather quickly as new connective technologies come online.

Friday, September 3, 2021

The IoT is going to help us to unlock tremendous power in terms of consumer mobile apps. All of these apps that used

Two different types of approaches to connected devices are making headlines in today's IT world. One is machine-to-machine (M2M) processes, which focuses on connecting manufacturing devices and equipment in a physical production space, and the internet of things (IoT), a much broader term for a new reality where nearly everything we use has a chip inside it connecting it to the global internet.

 

Obviously, the internet of things is much more attention-grabbing and popular because of its broad, nearly infinite set of applications. Machine-to-machine technology is still mostly talked about in trade journals and in rooms where executives figure out how to improve industry processes. (To learn about IoT security, check out 10 Steps to Strengthen Your IoT Security.)

 

With that in mind, M2M and IoT have some key similarities, as well as some important differences. Both will play major roles in the development of device connectivity services moving forward. Specifically, they will each have an impact on how mobile apps, those ubiquitous carriers of wireless functionality, are developed.

 

What Is M2M and How Will It Affect Mobile Apps?

The idea of machine-to-machine communications is built around making manufacturing processes and assemblies smarter by doing more with the machines and pieces of equipment that help with production or monitoring on an assembly line or elsewhere in industry.

 

This method of industrial control has been around for a while, and although it's experiencing quite a bit of innovation, in many ways it lags behind what the internet of things is doing, simply because its applications are less broad.

 

"While it's not clear who popularized the acronym, the roots of M2M communication date back as far as the early 1970s, when Theodore Paraskevakos invented and patented 'an apparatus for use in a telephone system' responsible for 'automatically transmitting information from a calling telephone to a called telephone.'" writes Brian Ray at LinkLabs, describing M2M's origins. "In other words, Paraskevakos invented the first Caller ID."

 

Machine to machine has often been seen to utilize the control plane of the network, where routing tables and other tools address network topology, rather than classically sending along bits of internet-connected data. The use of programmable logic controllers, or PLC, in industry is an example of this.

 

So what does this mean for mobile apps? Well, in industrial settings, M2M will be a guiding design metric for all of those apps that have users tapping, typing and texting equipment, facilities or environmental controls. If you have a clean room app, where blowers and heaters and other equipment will have to work in automated tandem, M2M will likely apply.

 

What Is the Internet of Things and How Will It Affect Mobile Apps?

IoT is much newer – but there's also a key difference between M2M and internet of things connectivity. The internet of things works through the connected global internet over IP protocols in the data plane of a network. (Learn about what it takes to work with the IoT in Job Role: IoT Solutions Architect.)

 

On the IoT side, it's harder to collectively describe how this technology works. The "internet of things" is really a broad catch-all term. What is the internet of things? Some people talk about OEM manufacturers and how companies want to embed internet connectivity into manufactured devices. Think of your smart refrigerator, smartwatch, smart toaster or smart dishwasher. Also, think about your Fitbit and all of the different wearables that come connected to the IoT.

 

Most of those IoT items are not related to industrial or manufacturing processes. They're consumer goods, or items that help with government or business administration. So the big dividing line is that while machine-to-machine technologies connect the machines that make the machines, IoT connects the products of those assembly lines and generally builds a more connected world.

 

The IoT is going to help us to unlock tremendous power in terms of consumer mobile apps. All of these apps that used to work through smartphones are going to be able to network with smart refrigerators, dishwashers, etc. Part of this massive innovation will lead to "seamless device following" where that data tracks a user's physical movement to offer more customized results.

 

What's in Store with M2M and IoT?

In the future, we can expect that both M2M and IoT are going to continue to innovate. We can also expect that M2M is going to move toward an IoT model – because that makes these systems more versatile.

 

Classically, M2M systems were not often internet-connected. They were very isolated and walled off from the global internet, and as a result, they were somewhat ossified. Companies can talk about security concerns, but as we see all of these other processes moving toward the global internet, there's really no reason why M2M wouldn't go along.

 

There's another key trend that we're likely to see, particularly in M2M technologies. That's the decoupling of the control plane from the data plane by utilizing software-defined networking approaches. Software-defined networking takes the control from the hardware and puts it in a software component on its own, so that the networks of the future can operate with more transparency and flexibility.

 

For instance, think about a wastewater treatment plant that uses specific M2M workflows from a proprietary vendor to manage grinder pumps, treatment stations and all sorts of other equipment and assemblies. The plant operators may be happy with their M2M infrastructure – but as time goes on, public planners will evaluate what's available and probably gravitate toward an IoT model that makes it easier to come in and change equipment processes as needed. If, on the other hand, a company sticks with specific M2M technologies, those technologies will get smarter and more automated to allow machines to do more. With sensor fusion and either modern M2M or IoT, new factory machines will be able to spot defects in products. They'll be able to move items according to very specific needs. They'll probably be able to manage inventories and even control facilities environments in very particular ways, all without human intervention. Our machines are getting smarter – and how we handle that evolution will be a defining characteristic of tomorrow's business world.

 

Again, M2M and IoT will both inform mobile apps, in their respective ways. M2M will move the mobile app in enterprise facilities use cases, and IoT will move it in most consumer-facing cases. Look for both of these trends to happen rather quickly as new connective technologies come online.

Thursday, September 2, 2021

Here is all about DR to increase dua kro yaar

Next-generation 5G networks are expected to deliver far much more data much more quickly than 4G, which expands the possibilities of real-time communication.

 

The ramifications of that capability extend not just to remote data transmission, but to new levels of automation that can dramatically advance industry, specifically: manufacturing, healthcare, retail, transportation and agriculture. (Read All Your Questions About 5G — Answered.)

 

How Will 5G Affect Manufacturing?

5G makes it possible to build "smart factories" that can draw on the power of connectivity for to achieve greater safety, efficiency, and automation

 

As a ZDnet article put it in "Will the smart factory benefit from 5G? Industry experts weigh in", the benefits of 5G for manufacturing include better data streams in real time, though it goes beyond that through enabling greater flexibility:

 

"Through Internet of Things (IoT) networks of sensors on the factory floor and through the supply chain, operators can be made aware of problems not in a linear fashion, but through the real-time collection and analysis of data ranging from machine performance, staff activity, and logistics — as well as through predictive analytics."

 

In the video below, you can see a brief presentation on how AT&T and Samsung showcase the factory of the future that capitalizes on advanced technology that runs on 5G. The 5G Innovation Zone at Samsung Austin Semiconductor allows visitors to experience seven different uses cases in manufacturing that will improve safety and efficiency while expanding the possibilities of robots that are aware of their surroundings.

 

 

 

5G in Healthcare

Telemedicine could really take off without the latency problem not just for diagnosis of remote patients but even for surgery.

 

Back in 2018, the The American Medical Association (AMA) included a push for expanding connectivity among its policies. As Dr. Gerald E. Harmon pointed out, "Patients stand at the intersection of health and technology. Without broadband and wireless, patients in underserved areas will face even greater health challenges."

 

The way 5G enable automation and robotics to advance in manufacturing is being explored for healthcare to realize the vision of remote robotic-assisted surgery. In January 2019 the first remote-surgery equipment using 5G mobile network technology was tested in China when a doctor in Fujian removed the liver of in a different location.

 

The 5G connection allowed him to control the robotic arms that carried out the surgery with only .1 seconds of lag time.

 

As it says in the description of the video below, "Researchers said the high-speed can reduce the risk of deadly medical mistakes, and raises hopes that 5G-enabled remote surgery will soon be reliable enough for use on human patients."

 

 

 

5G and Its Role in Retail

5G extends the usability of virtual reality (VR) and augmented reality (AR), which could give people the chance to try on things virtually at home or in stores.

 

In an April 2019 press release, Gartner proclaimed "100 Million Consumers Will Shop in Augmented Reality Online and In-Store by 2020." The release quotes Anna Karki, principal research analyst at Gartner, who said that consumer demand and expectations for retail experiences are prompting retailer to find technological solutions, including "AR and VR to offer customers a unified retail experience inside and outside retail stores."

 

Karki explained that it enables customers to experience "immersive environments" by referencing IKEA's Place app that makes it possible to see various pieces of furniture available for sale within their own homes. She added that "AR can be used outside the store after a sale to increase customer satisfaction and improve loyalty."

 

The same release quotes Sylvain Fabre, senior research director at Gartner observing that 5G can be used to improve "not only customer engagement but also the entire product management cycle of brands." He pointed out that: "5G can optimize warehouse resources, enhance store traffic analytics and enable beacons that communicate with shoppers' smartphones."

 

See more specific applications for retail in the video below:

 

 

 

5G Driving the Future of Transportation

Connectivity can make diving safer.

 

As explained in Carritech, 5G enables two types of communication that are key to improving safety for drivers: "Vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I)." One way V2V can be used in alerting a driver that cars ahead are braking even before the driver can see the brake lights ahead.

 

As many collisions are caused by hitting cars that come to sudden stop, prior notice can avert a serious accident. Should the condition necessitating stops be one in the road, the V2I communication can allow the driver to know that in time to take an alternative route and avoid congestion.

 

 

 

Such awareness of other cars and road conditions are prerequisites for the safe operation of autonomous vehicles. (Read 7 Autonomous Vehicle Myths Debunked.)

 

Autonomy analyst Tasha Keeney was quoted in The Drive referring to the potential benefits of being able to transmit more larger streams of data in real time, including a "full video feed or more information from the full sensor suite."

 

That can be especially helpful in emergency situations that call for some intervention from "human remote operators." Both the V2V and B2I data can also better direct the autonomous cars for safety and efficiency.

 

5G Shaping Agriculture

With real-time data delivered via 5G, farmers can monitor, track, and automate their systems to optimize results.

 

The Internet of Cows is already in place with dairy farmers applying sensors and smart collars to their cows to pick up on data in real-time. One company that offers that service in app form called Me+Moo is UK-based 5G Rural First. The company intends to demonstrate the value of 5G for agriculture through the app that keeps farmers aware of what their cows are doing at all times, and they did get buy-in from the government. .

 

An ABC News article about its implementation quotes Mark Gough, one of the herdsman at the Agricultural Engineering Precision Innovation Centre: "You can be at one end of the building, you get an alert, it's telling you exactly which cow it is, what the problem potentially is, and it's an instant assessment."

 

Beyond merely relaying data, the same principles that make autonomous driving possible can enable farms to operate autonomously with self-driven tractors and other machines. That was demonstrated in England by the Hands Free Hectare project, which is managed by Harper Adams University and Precision Decisions.

 

You can see the video of the hands free wheat harvest taking place here:

 

 

 

Gartner predicted that by 2020, worldwide 5G wireless network infrastructure revenue will hit $4.2 billion, an amount that represents an 89% increase over the $2.2 billion figure associated with 2019.

 

That rapid rate of growth just a single year attest to the proven benefits of 5G for a whole array of industries.

Tuesday, August 31, 2021

free lancing

 

 

 

 

 

 

 

 

 

 

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Start freelancing with skills outside your job description

When you're thinking about your previous jobs, don't limit yourself to the job description or main responsibilities.

In most full time jobs, employees find themselves doing things that weren't originally in their job description.

For example, if you were responsible for running a company's social media accounts, you probably picked up some writing skills too.

So instead of only thinking about your social media skills, you may also be suited for copywriting or marketing work.

Add every specific skill to the list – the more skills you can name, the better.

Start freelancing using your hobbies and self-taught skills

Your skills aren't limited to just what you've been paid to do. Go beyond the things you've already gotten paid for to things you've taught yourself, or even your hobbies.

What do you spend time doing just because you like doing it? Think about everything.

For example, if you collect stamps, you're probably a strong researcher, organized, and you may even be good at negotiating!

If you've taught yourself how to design graphics in Canva, that counts too.

Again, at this stage, the more skills you can list, the better.

Narrow down your list of skills

Once you have a list of all the skills you've been paid to use, taught yourself, and use as a hobby, now we can start to narrow down that list.

First, prioritize the list by which skills you WANT to get paid for the most.

You can create a new column in your spreadsheet and rank them in order, starting with number one.

 

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