Connect with us


Is AI Our Friend or Our Foe in Tackling the Novel Coronavirus? – ReadWrite



Brad Anderson

From the way we greet friends to the way we bag our groceries, the novel coronavirus has managed to make us reconsider even the most basic tasks in our day-to-day living. We’re more cautious and prudent, and even some of us have been called paranoid in the way we manage these interactions.

To put it mildly, COVID-19 has completely transformed the way we live as human beings, and it’s likely that these effects will continue to linger long after the pandemic has run its course.

Is AI Our Friend or Our Foe in Tackling the Novel Coronavirus?

One of the biggest challenges we’ve faced during this pandemic isn’t just how we’re dealing with the illness itself; it’s also how we’re coping with it as social creatures, too.

Many people continue to refuse to acknowledge the virus’s mere existence, making it all the more difficult to contain it. Because of this, the virus continues to spread at a prolific pace, despite social distancing protocols in place and the introduction of several promising new vaccines.

With AI on the front lines — we can watch the COVID-19 virus and its varients at an unprecedented level that was unknown in the past.

However, there is one lesser-understood ally hidden in the midst of our new normal, and that’s artificial intelligence (AI). AI technology has made it possible for scientists and researchers to try to predict future outbreaks and analyze the current virus itself to detect mutations in the strains.

AI is still ahead as the best predictor of which patients need extra care and watch-care help.

Not only that, but AI is also being utilized to predict which types of patients will have more severe symptoms and fall critically ill, and which ones will merely come down with a particularly annoying case of the sniffles. There is even a widespread effort to find a cure deep within the virus’s genetic code, and AI is at the forefront of this effort.

The success rates of AI in fighting, not only this virus — but many viruses to come.

No doubt, AI can be our biggest weapon in combating coronavirus, but its success is still largely unknown. Nevertheless, researchers doggedly continue to use it, despite knowing it is fraught with potential flaws.

This begs the question: are we becoming too codependent upon AI technology to save us from COVID-19 — and will our impatience to contort it to fit the mold of being our salvation actually backfire, leading to potential long-term risk and harm to us as a whole?

The Current Role of AI During the COVID-19 Pandemic

As it stands, AI is all but shaping the way we approach our attack on the coronavirus pandemic. Of course, this cautious praise isn’t intended to undermine the work of all the powerful minds who are also laboring tirelessly to find a cure for it; instead, AI is working alongside them, a concerted effort from both the greatest intelligent and artificially intelligent entities.

Currently, AI is being used in a number of ways in the race to suppress the virus, and each one shows remarkable promise in identifying, diagnosing, and treating it. However, are these methods actually viable, and will they actually make any difference in the outcome of our fight against COVID-19?

Disease Containment

If there’s one thing that this pandemic has taught us, it’s that as a collective, we humans are remarkably social creatures. Even the most introverted people have found themselves growing fidgety and impatient with the shelter-in-place ordinances, and it’s no mystery that one of the few industries that have flourished during the quarantine is actually our national parks.

We are social creatures, after all!

People were so desperate for a breath of fresh air, started taking to hiking trails to explore nature (at a safe distance, of course).

Still, humans will be human, and the urge to socialize and almost nomadic urge to travel is rooted deep within many of us. Finding ways to detect who is or isn’t infected with coronavirus, therefore, can be a reliable way to help prevent its spread.

Checking temperatures seems to remain the gold standard for weeding out the infected.

Checking temperatures has been one of the gold standards for weeding out who may or may not be infected, but even that has its own downsides—enter AI. Through predictive models on standardized demographics, artificial intelligence has been able to improve the rate of determining who may or may not be sick when entering a country, even when they are asymptomatic — nearly doubling its accuracy.

That’s not the only way AI has been able to identify sick people in a pool of otherwise healthy ones, either. Recently, researchers out of Northwestern University realized they could pinpoint which patients were COVID-19 positive, even when said patients had already been given a clean bill of health.

AI and the Chest Radiographs

Through AI analysis of chest radiographs, they determined that their machine-learning algorithm can detect the presence of the virus ten times more frequently than a team of human experts. Even better, they were able to do it with up to 6% greater accuracy.

Containing the novel coronavirus isn’t just about singling out those who have it, either. There’s also another highly important consideration: the growth and spread of the virus. AI has been no slouch in this department, either.

Though complex, AI-based models, an independent researcher by the name of Youyang Gu took it upon himself to try to predict the spread of the virus and its mortality rate. This model was hailed by groups such as the CDC as one of the greatest influences for public policy due to its accuracy in estimates.

Risk Management

Another major challenge facing healthcare providers is predicting which patients are going to be able to walk out of the hospital after recovering, and which ones will relapse and require a secondary admission back into the hospital.

Furthermore, there is the ongoing struggle to determine which patients needed just a minimal amount of care versus the ones who might eventually need to be intubated and placed on a respirator.

While there were already some rudimentary ways scientists can figure out the protocol — (such as the patient’s age, sex, and BMI), the issue isn’t foolproof.

Again, AI rose to the challenge and quickly proved itself to be an indispensable asset. Thanks to the efforts from researchers at the University of Virginia Medical Center, they were able to use AI-driven software to predict which patients would wind up developing respiratory failure and eventually require intubation.

Called CoMET, this software was able to collate an assortment of diagnostic criteria (such as the patient’s EKGs and vital signs) to alert the healthcare team of an elevated risk for the patient. In a way, this AI model was a grim sort of prophet, darkly predicting who would live and who was doomed to succumb to the virus.

Treatment Methods

AI has also been indispensable in helping researchers come up with a potential cure for COVID-19. With so many failed treatments already dismissed, AI has still helped narrow down which ones might actually be put to use as a treatment option for patients.

For instance, when researchers were running their initial clinical trials, they relied upon artificial intelligence to help them determine which treatment protocol might lend the best possible outcome for critically ill patients.

The models quickly scanned several different medications and narrowed down the one to be used in a control group.

This medicine, baricitinib, was shown to help offer the best outcome for these patients. Had the researchers not used the AI model to search their cache of already available medicines to narrow it down, they might not have realized it would be an ideal treatment option for them.

Instead, they were able to quickly scan their entire knowledge database to determine which human proteins to target. From there, they were able to eliminate the ones which had not been approved by regulators and eventually narrowed it down to which drug to repurpose for the trial.

Mutation Predictions

Then there’s the frustrating issue of the ever-shifting nature of the virus itself. Just like the basic flu virus changes and mutates from season to season, so does the COVID-19 virus. Already we’re starting to see new versions of the virus cropping up in several cities, and as these mutations continue to proliferate, we can reasonably expect to see new strains of the virus emerging.

How can researchers keep up with these genetic changes in the virus when they’re only now starting to address the current one?

With these more recent variants of the virus seemingly spreading at a much more rapid rate, it’s no surprise that, again, researchers are trusting in AI to help deal with this quandary. Its approach is also multifaceted, proving that the best way to combat an invisible enemy is from all possible angles.

For example, a team of researchers out of the University of Southern California’s Viterbi School of Engineering have worked to develop a new method of suppressing these mutations. Using something called the “Immune Epitope Database (IEDB),” they have been able to facilitate the development of new vaccines to use against these mutant strains. What once took perhaps years now only takes seconds.

They’re not alone in their efforts against the virus, either. Virologists from the University of Liverpool have also tapped into the potential of artificial intelligence to help determine where the next coronavirus will crop up. Using predictive models and machine learning, they can feed a string of data into an algorithm, and the computer can spit out where it thinks the next mutation will emerge.

As certain species of mammals are more likely to become susceptible to strains of coronavirus, the mission was to determine which ones may be our next vector.

Their model was able to isolate not only nearly 900 species and over 400 strains of coronavirus, but also which mammals might be carriers of more than one type of strain at any given time.

So, What’s the Problem?

On paper, all of these applications sound nothing short of incredible. The use of artificial intelligence is making it possible for us to slow the spread of the virus, improve the quality of care of those who have already been infected with it, expedite the creation of a vaccine (and eventually a cure), and stop the mutations in their tracks before they can gain traction and wreak havoc in vulnerable communities.

What could possibly be a downside to all of these seemingly miraculous benefits of AI in our fight against coronavirus?

It can be difficult to even want to consider such a possibility, especially when AI is hailed as the pinnacle of scientific achievement. Nevertheless, its use isn’t without potential pitfalls. Take, for instance, the very real dangers of establishing precedent during unprecedented times.

Many of these new technologies being used against COVID-19 have been given an immediate green light, despite the fact that they have not been rigorously tested enough to determine their accuracy or safety. In doing so, is this going to make it possible for other algorithms and technologies to slip past tight regulatory controls for the sake of the “greater good”?

Then there’s the issue of bias. Already certain demographics are suffering from prejudice and have a higher mortality rate.

If an overtaxed and fatigued doctor already believes that a patient is going to get worse and may not recover, are they still going to extend the same heroic measures to keep them alive as they may offer to a different patient?

Furthermore, regarding all of this demographic information that has been collected: whose hands is it falling into, and what are they doing to protect our privacy?

As it stands, we don’t even know if any of these innovations even work as described, and there is still not sufficient enough data to corroborate their efficacy. This could create a false sense of security not only for healthcare workers, further putting them at risk of exposure, but also for the public in general.

People are unquestionably weary of the strict regulations in place, and the idea that they can relax and lower their guard can be extremely alluring and dangerous. Many of these innovations cannot even be used by laypersons, which again leads us to wonder who they are for in the first place.

Being Your Own Advocate

Ultimately, prudence — and not blind reliance on a poorly understood technology — can help you remain healthy in the ever-changing COVID landscape. This isn’t to lambast AI technology, but rather, an admonishment to take it with a grain of salt and a firm reminder to continue to employ due diligence moving forward.

Please — be willing to help stop the pandemic.

By continuing to adhere to the current CDC guidelines, making sure to wash your hands and wear your approved facial covering, and through routine checking for possible infection with either an affordable at-home COVID test or one provided by your employer, you can do your part to stay safe against the virus both today and in the uncertain months ahead of us.

Image Credit: lalesh aldarwish; pexels

Brad Anderson

Editor In Chief at ReadWrite

Brad is the editor overseeing contributed content at He previously worked as an editor at PayPal and Crunchbase. You can reach him at brad at


10 Blockchain Speakers Who Make It Easy to Understand



Joel Comm; Blockchain Speakers

The blockchain and Bitcoin. Decentralized finance and smart contracts. Non-fungible tokens and play-to-earn gaming. The new world of Web 3 is a lot of things — but simple isn’t one of them. A few speakers manage to turn the complexity of the blockchain into concepts that are easy to understand and quick to grasp.

These men and women take questions from the audience — and have a coherent and logical explanation for anyone who knows enough to frame a good question. If you are creating an event and you want a great keynote speaker — whether in person or virtual — choose from this list.

Blockchain, Bitcoin, Decentralized Finance, Smart Contract, Non-Fungible Tokens, Play-to-Earn Gaming — Think of the Possibilities

When I study, listen, attend conferences, and get lists like this one ready — it’s a difficult process (no doubt, those of you in this business can relate).

I have listened to most of these individuals speak and usually put Joel Comm at the top of my lists because he’s so dang funny — although these speakers are listed here in no particular order.

Joel Comm
  1. Joel Comm (@joelcomm)

Joel Comm reached the blockchain world after selling a games company to Yahoo!, revealing the secrets of Google’s AdSense system, and explaining how to market on Twitter as soon as the “microblogging” platform was launched. With Travis Wright, he presents both The Bad Crypto Podcast and The Nifty Show, two podcasts that interview blockchain leaders and entrepreneurs, explaining their activities to a non-technical audience.

Igor Pejic; Blockchain Speakers
Igor Pejic
  1. Igor Pejic (@IgorPejic9)

Igor Pejic is the author of Blockchain Babel. He’s the former head of marketing at BNP Paribas Personal Finance Austria and a teacher at the University of Vienna. His experience in both the finance industry and in education has enabled him to translate blockchain technology’s jargon into understandable language and to explain why it matters. He’s seen how finance is responding to the rise of digital currencies and distributed networks, and he can explain it.

Andre De Castro
Andre De Castro
  1. Andre de Castro (@AndreTechExec)

Andre de Castro is a software engineer and a Bitcoin pioneer. He works with Fortune 500 clients, helping them to understand and prepare for the development of cryptocurrencies. He also contributed to a 2014 administrative ruling that enabled corporations and startups to trade cryptocurrencies in the US. He is an expert on the opportunities available in the blockchain world and, in particular, the possibility of earning through arbitrage across different trading platforms.

Anne Lise Kjaer
Anne Lise Kjaer
  1. Anne Lise Kjaer (@kjaerglobal)

Anne Lise Kjaer is an expert on trends. She’s the author of The Trend Management Toolkit and has talked to companies, including IKEA and Swarovski, about changing consumer fashions. The trends she’s discussed have included health tech and digitalization, but she also talks about fintech, how it’s changing, and what effect those changes will have on consumers and the companies that serve them.

Professor Lisa Short
Professor Lisa Short
  1. Lisa Short (@lisagshort)

Professor Lisa Short’s emphasis is on education. She’s the founder of Mind Shifting and the Frontier TechED Accelerator uses education to bring together small and medium-sized businesses and cutting-edge technologies. Lisa Short is also the director of Learning and Ecosystems for the United Africa Blockchain Association, which delivers blockchain and artificial intelligence education across Africa.

John Biggs
John Biggs
  1. John Biggs (@johnbiggs)

John Biggs is a journalist. Biggs has been an editor-at-large for and has written for publications including Wired, the New York Times, Linux Journal, and Popular Science. He is now news editor at CoinDesk, the world’s leading source of blockchain news, and has written books about blogging and online scams. He was also the CEO of fintech startup, adding real-world experience to his research and writing.

Sam Wouters
Sam Wouters
  1. Sam Wouters (@SDWouters)

Sam Wouters is a consultant at Duval Union Consulting, a consultancy firm, and is a co-author of the Digital Transformation Book, a guide to bringing digital workflows to large companies. He now focuses on Bitcoin and the blockchain, helping companies to understand how the technology works and what they can do with it.

Laura Shin
Laura Shin
  1. Laura Shin (@laurashin)

Laura Shin is the host of Unchained, one of the Web’s leading blockchain podcasts. She was senior editor at Forbes and the first mainstream journalist to take crypto as her full-time beat. She is also the author of the recent investigation of crypto’s early days: The Cryptopians: Idealism, Greed, Lies, and the Making of the First Big Cryptocurrency Craze. Her talks focus on the blockchain’s effects on ownership, online organization, and earning potential.

Tony Scott
Tony Scott
  1. Tony Scott (@tonyscottcio)

Tony Scott was President Barack Obama’s Chief Information Officer. He launched a 30-day Cybersecurity Sprint and directed the government’s cyber defense efforts. He also managed the net neutrality policy and oversaw the privacy issues that emerged from Apple’s suit against the FBI. He now runs the TonyScottGroup, where he gives enterprise-sized firms strategies to cope with and make the most of changing IT infrastructure and new technologies.

Elias Ahonen
Elias Ahonen
  1. Elias Ahonen (@eahonen)

Elias Ahonen’s 2016 book, Physical Bitcoins and Crypto-Currencies, was one of the first histories of digital currency. He is also the author of Blockland, a collection of stories about Bitcoin, blockchain, and cryptocurrency. He’s been active in the blockchain space since 2012 and runs a blockchain consulting company called Token Valley.

Here are a few articles for your reading pleasure and information — about these topics.

Blockchain, Bitcoin, Decentralized Finance, Smart Contract, Non-Fungible Tokens, Play-to-Earn Gaming

Most of these images were taken from the Speakers Linkedin Profiles; Thank you!

Featured Image Credit: Photo by Pressmaster; Pexels; Thank you!

Deanna Ritchie

Deanna Ritchie

Managing Editor at ReadWrite

Deanna is the Managing Editor at ReadWrite. Previously she worked as the Editor in Chief for Startup Grind and has over 20+ years of experience in content management and content development.

Continue Reading


How to Efficiently Onboard and Train Your New Hires




Quality employee onboarding is one of the most important things you can do for your business. You want your new hires to feel welcome and wanted as soon as they walk in. You need to give them an excellent first impression of your business and show that they matter. For many new employees, it’s essential to feel that there is a well-defined role and a clear career path.

Not only that, but a good onboarding process can make a massive difference to your retention rates and your revenue. Onboarding can also improve employee productivity and morale. And you save time and money when you don’t have to keep replacing employees.

Great onboarding starts with excellent planning. You really can’t wing it when it comes to training your new hires. Having planned training and processes for dealing with new employees is important.

Before hiring any new employees, plan out what they need to know and how you deliver it. This will also make it easier for you. For example, you’re not having to scramble to find something for them to do while trying to balance your own work.

You could also create an onboarding checklist for you and one for your new hires. This allows you to quickly know what to teach next and see clear progress and tick off what they’ve learned. It’s motivating for both parties. Even better if you have training software that allows for gamification. New hires can tick off modules as they finish them, see what’s next, achieve rewards, and more.

Once you have your onboarding training prepared, you can then use your calendar to plan it out and ensure success.

1. Set up a dedicated onboarding calendar

Many calendar apps will allow you to set up multiple calendars. So, for example, you can set up a calendar just for onboarding training, showing the full schedule.

This allows you and your new hires to look at your full calendar view with all your tasks and appointments and to look at just the training schedule on its own calendar when you need to.

It’s helpful to have both views. With the main calendar view, you can ensure no clashes and time to get to training sessions. And with the onboarding calendar, you clearly know the training and what comes next.

2. Share your calendars

You can coordinate together more efficiently by sharing your calendars. Your new employee will have other items on their calendar in addition to their onboarding training. For example, they may have previously booked medical appointments scheduled or a holiday that was already booked before they got the job. And there’s the work that they need to be involved in.

If you both share your calendars, you can easily be more flexible, if needed, and quickly rearrange sessions if something else comes up. In addition, your new hire will be able to see when you’re free, so they can book time if they need more help.

Encouraging your new employees to start, regularly use, and share their calendars is good practice for the future.

3. Set up your to-do list

Unless your only job is employee onboarding, you will have other work to fill your time. With your time split between onboarding your new hires and your everyday work, staying organized is essential. You can add a task/to-do list and make notes on many calendars to easily keep track.

This helps you balance your work with your onboarding duties. It also gives you a heads up if you’re going to have a busy week that may need extra organization and planning.

Another benefit of adding your to-do list to your calendar is seeing how much you’ve achieved. Ticking off completed tasks gives a nice hit of dopamine and is highly motivating.

4. Use time blocking to ensure you get everything done

When trying to learn something new, it can be easier to spend a solid block of time on it, rather than jump around over several sessions. Time blocking can be helpful to facilitate that.

However, time blocking involves splitting your day and week into blocks for specific tasks. This is a great way to combine your to-do list with your calendar. This can be a beneficial technique for ensuring you can fit in onboarding training and your regular tasks and meetings.

You can choose what works best for you with so many options and techniques. For example, time blocking could be one more helpful tool in your organizing arsenal.

5. Set up reminders

One of the best things about using a calendar and task lists is that you can add reminders to keep yourself on track.

When you are setting up your onboarding calendar, ensure you add in reminders where it’s helpful. This ensures that you don’t miss any meetings or tasks or your trainees.

When you’re busy, it can be easy to miss breaks and lunches. Adding reminders for these can ensure you take a breather when you should. It also provides that you don’t set yourself up for burnout.

6. Integrate with Trello

Some calendars integrate with Trello, a simple but effective project management app.

You can add tasks, checklists, and processes to Trello. It’s helpful to break down more significant tasks into smaller, more manageable tasks. It’s possible to tick them off when you’re done, which can help to motivate you and your trainees.

One other great thing about Trello is that you can set up boards and processes as a template. Then when you need it again, copy the template, rename it, and you’re ready to go.

Integrating this option with your calendar could help you manage your training better. You can also add team members and work on tasks together, aiding your trainees.

7. Bear in mind remote working

So many companies now allow remote working since the pandemic that you need to consider it. In addition, you may be training both in-office workers and remote workers to onboard them.

It’s important that your onboarding training includes your company culture and expectations, but it’s particularly important that remote workers feel part of your company.

Of course, you need to organize your time and calendar to ensure you can onboard everyone, remote or not. In addition to planning tasks and meetings, you’ll need to consider what technology you need, including cameras, Zoom, and more. Then, organize your tech in plenty of time for each meeting for success.

8. Start with a welcome pack

Once you know the start date of your next hire, add a task and a reminder on your calendar. Then send them a welcome email a few days before they start. You could even save time by writing a template for this email if you’re going to need it more than once. Then, you could set it up, keep it, and just hit send on the day.

If they’re based in-house, include practical information your new employee needs to know. Include directions, parking information, and a building map marked by their office or area. Add in where they can find vending machines or a kitchen for snacks and drinks. Include any local shops, such as bakeries or sandwich shops for food.

You’re starting them on the right foot before they’ve even walked through the door. And they will appreciate it.

Don’t forget your remote workers here. They will also appreciate a friendly, welcoming email with helpful information on start times and what to expect.

9. Use your analytics

Many calendars have excellent analytics. Office 365, for example, includes MyAnalytics, which provides information on various tasks and events. For example, you can see how many meetings you’ve had and how you spend your time.

This is helpful because you can see an overview of your onboarding training. You can check if you’re offering balanced training or leaning too heavily toward one subject. You can see whether you have covered everything or if there are any gaps.

Calendar analytics are equally helpful for improving your general productivity. You can ensure you still have the time to work on your own tasks as well as fit in onboarding.

10. Assess your onboarding regularly

Use your calendar to schedule follow-up meetings with new employees to get feedback on your onboarding processes.

Diarize time every year, at least once, to review your onboarding, look at feedback, and see how you can improve.

With quality onboarding so crucial for every business, it is vital to stay organized and on top of it. The right calendar apps can help you deliver onboarding well and keep improving.

Published First on Calendar. Read Here.

Featured Image Credit: Photo by Kampus Production; Pexels; Thank you!


We are Calendar, trying to make the world a much more productive place. Check us out online at

Continue Reading


What Are Automated Guided Vehicles?



Deanna Ritchie

Steam engines and conveyor belts are arguably two of the most important inventions of the industrial age. Moving water and coal by machine sparked groundbreaking changes in manufacturing. They allowed businesses to scale their production while saving time and resources. Many believe that automated guided vehicles represent the next logical step.

After all, without these innovations, the world as it is today would be impossible. The ability to move materials with ease contributed powerfully to the industrial revolution.

As time has marched on, more technologies have been invented to improve transportation, thus benefiting the manufacturing process. Many experts believe that the automated guided vehicle is the most noteworthy innovation as of late.

These machines are automatic vehicles with a guidance system that can use a variety of technologies to get from point A to point B without the need for a driver or human supervision. This invention has benefited quite a number of operations when it comes to manufacturing. AGVs can routinely and reliably transport materials from one place to another.

How Automated Guided Vehicles Work

Of course, the future of manufacturing is unknown, but it is constantly seeing upgrades from technological advancements. An automated guided vehicle (AGV) is a robotic solution to many industrial problems. It is a portable robot that moves along marked lines or wires on factory floors. It achieves this by using radio waves, cameras, magnets, or lasers for navigation.

The technologies used by each AGV differ based on design. Technologies such as LIDAR help AGVs in routing, navigation, and traffic management. Cameras help in monitoring obstacles and optimizing the path. Sensors also help in mapping the space and navigation.

Automated guided vehicles run on optimized technologies such as laser-based navigation systems and camera-based navigation systems. Both of these enhance the operation and help with better routing, traffic management, load balancing, and battery management.

These advances help make the systems safer for humans on the factory floor, as AGVs can stop if they sense someone or something is within their set path.

Laser-based navigation systems are one of the most popular types of routing and mapping systems in the industry today. Engineers pair camera-based technology with laser technology as an add-on feature. Cameras can detect the presence of traffic and easily identify obstacles better than lasers.

Camera-mounted automated guided vehicles are also extremely useful when humans are operating the system. It provides a much better view when users take the vehicle for new routines or a manned operation.

Industries Utilizing Automated Guided Vehicles

AI and self-driving cars are predicted to be the future, even in industries such as construction. However, some industries are experiencing success with automated options, and others are still adapting to AGVs. Most companies use automated guided vehicles in industrial applications. They transport heavy materials around large factories or warehouses.

For example, they help factories move raw materials or pellet goods. These are made ready to be shipped or sent off to a warehouse. Techs automate their routes and schedules in a way that they carry out operations a specific number of times within specified time increments.

While industrial applications are most common, other industries use AGVs on a smaller scale. AGVs can be applied to move materials in food processing, automotive assembly plants, and the healthcare industry.

Within hospitals, AGVs are becoming increasingly popular. Technicians program them to move linens, trash, medical waste, and even patient meals. In recent years, the theme park industry has even begun using AGVs for rides.

Benefits of Using Automated Guided Vehicle

The world of production is moving forward. There are so many benefits of incorporating an automated guided vehicle. Here are some of the most notable perks.

1. Time Management

Most notably, automated guided vehicles help cut down on human resources. Otherwise, companies spend additional resources on transporting materials back and forth. This, in turn, reduces the manual errors that occur when lifting large loads.

AGVs also improve time management by automating the routines. A simple memory chip with a navigation system and an automated routine can help the users to save time throughout pickup and transport schedules.

The incorporation of more automated systems has also been shown to save money and add more leisure time for employees. When companies don’t burden employees with simple, repetitive tasks, they can focus on more important agenda items.

AGVs prove to be extremely useful as they can transport items to a certain location without the guidance of humans. Without the need for human guidance, AGVs cut down on human error.

2. Optimizing Transport

Transporting materials through robot-enabled machines helps in automating the transport of materials, withdrawing the need for other machines, forklifts, and techniques for load management. Delegating transport to an AGV can also protect workers.

Injuries from lifting heavy items or operating forklifts incorrectly are some of the most common injuries within the workplace. Having AGVs take on this responsibility could mean avoiding workplace comp claims and potentially losing good employees.

Somewhat ironically, self-driving vehicles become simpler and safer when humans aren’t around. Separating human tasks and automated guided vehicles can optimize the transport process in multiple ways.

3. Efficiency

Incorporating AGVs benefits the overall manufacturing process, as it involves fewer man hours on simple tasks, such as transport, and it diverts them to more useful operations. An automated guided vehicle cuts down on the number of staff hours or labor required to safely handle payload and take it from one point to another. This is easily done once the load is set up on the automated guided vehicle.

Companies know that these machines are sturdy, stable, and more efficient than humans, who can carry less and usually take longer. AGVs make the transportation process both cost and time efficient.

Automated guided vehicles are a simple solution to solve transportation issues, and their application has broadened during the late 20th century. As more industries look to incorporate technology to optimize their processes and improve efficiency, they may take advantage of AGVs.

Looking at how the manufacturing industries have been utilizing this technology for years can help industries that are choosing to incorporate this technology now learn best practices. Knowing what AGVs are and recognizing their benefits can help businesses decide if they’re right for them.

Image Credit: Ready Made; Pexels; Thanks!

Deanna Ritchie

Managing Editor at ReadWrite

Deanna is the Managing Editor at ReadWrite. Previously she worked as the Editor in Chief for Startup Grind and has over 20+ years of experience in content management and content development.

Continue Reading

Copyright © 2021 Seminole Press.