Trending November 2023 # How Robotics Is Used By Bank Of America, Amazon, Nasa, Evergreen, Mamou # Suggested December 2023 # Top 20 Popular

You are reading the article How Robotics Is Used By Bank Of America, Amazon, Nasa, Evergreen, Mamou updated in November 2023 on the website We hope that the information we have shared is helpful to you. If you find the content interesting and meaningful, please share it with your friends and continue to follow and support us for the latest updates. Suggested December 2023 How Robotics Is Used By Bank Of America, Amazon, Nasa, Evergreen, Mamou

Companies can develop innovative automation strategies using robotics, including those built with artificial intelligence (AI).

Across industries, businesses continue to look for ways to change, streamline, and improve their operations. The use of robotics, along with AI, for automation is helping companies achieve higher productivity and cost savings.

See below six case studies that show how organizations in different industries are using robotic technology:

Industry: Recycling and waste management

Robotics product: AMP Cortex robotics system

Challenge: Evergreen is one of the largest PET (Polyethylene terephthalate) recycling companies in the U.S., processing over 1 billion post-consumer PET bottles per year.

Before automating their plastic sorting process, Evergreen relied on employees to sort plastic pieces. However, according to Plant Manager Derek Guyer, “A human at their best can pick maybe 40 bottles a minute. We’re asking them to do that for 12 hours a day, standing in the same spot.”

Evergreen was also struggling to keep up with increasing volumes of bottles coming through their doors. With employees already strained, automation was a clear and necessary solution. Evergreen chose to partner with AMP Robotics to automate their sorting process using a combination of AI and robotics.

Outcomes: Evergreen had outstanding success with their automation strategy. AMP provided a team of pick-and-place robotic arms that were powered by an AI interface trained for object recognition. The AI can accurately and rapidly distinguish plastic bottles based on the material they are made of. This allowed Evergreen to increase their pick rate by 200%, bringing it up to 120 bottles picked per minute.

Industry: Finance

Robotics product: Pegasystems Robotic Process Automation

Challenge: As of 2023, Bank of America is the second-largest bank in the U.S., valued at $2.39 trillion. Bank of America serves millions of customers every day and employs over 200,000. They needed a way to modernize their operations throughout the front, middle, and back offices.

Bank of America wanted to be able to provide a better experience for customers, increasing efficiency without sacrificing quality. At the same time, employees needed ways to increase their productivity, but cumbersome manual tasks were simply taking up too much time. AI-powered robotic process automation was tapped as the best solution to these challenges, with tools supplied by Pegasystems.

Outcomes: Bank of America implemented their RPA strategy in stages over multiple years and maintains ongoing AI and robotics plans. In 2023, they brought in their first robot, and by 2023, they had 22 in use.

These robots performed a variety of tasks, which required “interpret[ing] applications for processes that involve manipulating data, executing transactions, triggering responses, and handling exceptions.”

The RPA tools that Pegasystems provided allowed Bank of America to integrate legacy systems, which simplified implementation since existing technology in the workplace didn’t need to change. At the same time, there was still plenty of flexibility and room for growth, which was important for Bank of America.

By integrating Pegasystems’s AI-powered robotic automation solutions, Bank of America was able to save hundreds of thousands of dollars and noticeably improve the consistency, accuracy, and efficiency of their automated banking processes.

Industry: Warehousing and order fulfillment

Robotics product: Amazon Robotics and Amazon SageMaker machine learning

Challenge: Amazon is among the most famous companies in the world when it comes to automation. Their success stems from a combination of effective robots and machine learning.

They needed to automate their manual item scanning on the warehouse floor while also automating the hosting and management of the AI models that would run the robots. Amazon Web Services (AWS) SageMaker machine learning tools were the perfect solution.

Outcomes: Amazon Robotics had huge success with cloud-hosted machine learning for its AI-powered robots. AWS SageMaker was able to automatically scale models, adjusting size as needed without supervision. Using cloud-based hosting for their machine learning algorithms allowed Amazon Robotics to save almost 50% on inferencing costs.

The fleet of AI-powered warehouse robots delivered a 20% increase in productivity as well, boosting cost savings even further. This is one of a growing number of examples of AI resulting in tangible productivity improvements.

Experts have identified increased productivity as one of the top impacts of AI on the overall world economy. Amazon’s implementation in this AI-powered robotics case study demonstrates that businesses don’t necessarily need on-site computing infrastructure to tap into the power of AI in their robotics solutions.

Industry: Architecture and construction

Robotics product: Polibot

Challenge: Could the construction process be automated to deliver more resource-efficient architectural designs? This is the question that Mamou-Mani Architects set out to answer with their Polibot AI-powered robot. The project began with a UK competition to “use AI to create a machine that could transform construction sites.” Mamou-Mani Architects accomplished this with an AI-powered robot that uses machine learning to simplify the code required and increase functionality.

Outcomes: The Polibot is a marvel of engineering. It uses AI to rapidly generate architectural designs. Users can simply give the robot design criteria, and it will generate numerous design options and then analyze them to identify those with the most potential based on high-priority design criteria. The robot can then translate these digital designs into real structures.

Prototypes of the Polibot consist of pick-and-place mechanisms and winches suspended from overhead cables. The AI operates the robot, using cameras to lift, place, and align segments. It can incorporate 3D printing and CNC milling, as well.

The robot currently only works on a small scale of about four meters by four meters, although Mamou-Mani reports in this AI-powered robotics case study that the Polibot is highly scalable. One day, it could fully replace tower cranes and construction teams.

Industry: Hardware supply wholesale

Robotics product: Covariant-Knapp Pick-It-Easy AI robot

Challenge: Obeta is a hardware wholesaler serving thousands of customers, with a warehouse that’s operational around the clock. They were struggling to maintain enough employees to keep things running smoothly and needed a solution for sorting, picking, and packing the thousands of orders they receive every day.

A basic pick-and-place robot would not do the trick — Obeta needed something that could distinguish between different items. An AI-powered robot from Covariant emerged as the ideal solution. It would combine automated pick-and-place with an effective and agile sorting AI algorithm.

Outcomes: Covariant supplied Obeta with the Knapp Pick-It-Easy robot, which uses AI to intelligently pick and sort objects. This robot was perfect for Obeta’s needs because it could integrate easily with their existing systems and accurately handle a variety of items, including items the algorithm has not seen before.

Obeta’s inventory changes frequently, so this capability was crucial. The robot’s performance peaked at an astonishing 600 items picked per hour with 99% accuracy, including new items.

Industry: Aerospace

Robotics product: Boston Dynamics Spot robot

Challenge: NASA’s Jet Propulsion Laboratory wanted to develop an intelligent robot that could explore caves in dangerous environments, such as the surface of Mars. Traditional rovers on wheels are not ideal for the rugged and unpredictable terrain underground.

Additionally, cave exploration robots need to be fully autonomous, even in situations where they may lose contact with Earth. At the same time, the AI needed to be intelligent enough to observe and collect valuable findings from inside the caves.

So JPL partnered with Boston Dynamics to apply AI to the dog-like Spot robot. By combining JPL’s NeBula AI with the agility of the Spot robot, NASA was able to develop a new model for exploring harsh environments. The technology could be applied on Earth in fields like mining, construction, or even the utilities and power industries.

Outcomes: The collaboration between NASA and Boston Dynamics led to a successful demonstration of how an AI-powered robot could explore Martian caves searching for signs of life. As the Spot robots moved through a cave here on Earth, they were able to map it in real time and send data back to a base station.

Sensors and cameras on board the robots were used to analyze the environment underground, scanning for biosigns the AI model was trained to recognize. The agility of the Boston Dynamics robots made a monumental impact on the success of the project.

“What’s so exciting about Spot is how flexible it is and how maneuverable it is,” says Jennifer Blank, a NASA lead scientist on the project.

“I can envision scenarios where different Spots have their own assigned roles and their own assigned specialties.”

You're reading How Robotics Is Used By Bank Of America, Amazon, Nasa, Evergreen, Mamou

What Is Data Storage And How Is It Used?

As modern companies rely on data, establishing dependable, effective solutions for maintaining that data is a top task for each organization. The complexity of information storage technologies increases exponentially with the growth of data. From physical hard drives to cloud computing, unravel the captivating world of data storage and recognize its ever-evolving role in our daily lives.

What is Data Storage? 

Data storage, or data keeping, is storing information and making it as readily available as possible via technology designed particularly for that purpose. It constitutes a simple method of storing data in digital form on computer devices, and keeping data on hand makes many digital processes more effective.

Storage devices may use electromagnetic, optical, or other media to keep the data safe and recover it when necessary. File recovery and backup procedures become simple by data storage in the case of an unforeseen computer failure or cyberattack. 

While setting up data storage, every organization should consider these three factors: dependability, affordability of the storage structure and safety features. 

Source: vectorStock

Also Read: Understanding the Basics of Data Warehouse and its Structure

Why Do We Need Data Storage? 

Innovative technologies like data analysis, the Internet of Things, and AI produce and utilize enormous amounts of data. Therefore, data storage plays a major role in the growth of any organization now more than ever. Some of the benefits of data storage are as follows:

It is simple to gather large amounts of records for a longer time using electronic data storage.

Making duplicates of stored data makes it simple to back it up, enabling file loss or corruption recoverable more quickly and easily. 

With today’s cutting-edge security technologies and capabilities, plenty of techniques exist to store and safeguard particularly sensitive data digitally safely.

Every authorized individual has access to centralized stored data, which can be viewed and shared between teams whenever they collaborate. 

Digital data can be more easily categorized and organized, and the process can be accessed using a desktop computer or similar connected device. 

Digital data storage is faster than producing files that must be kept in file cabinets by printing out hard copies of data. 

Types of Data Storage

There are majorly three types of data storage as follows: 

Primary Storage

A computer system’s primary data storage serves as its primary storage. The primary storage is temporary memory, also referred to as cache memory. Primary memory is invariably smaller than secondary memory and comes with comparatively lesser storage. It is the only storage form readily available to the CPU, unlike RAM and ROM (Read-only Memory). The CPU always accesses primary storage-stored commands and processes them as needed. All data that is actively worked on is kept in an organized manner. 

Secondary Storage

A secondary storage system can keep data longer and has additional storage space. External or internal computer components include hard drives, USB drives, CDs, and other media. One computer typically accesses secondary storage through its input/output channels and transfers the needed data utilizing an intermediate space in primary storage.

Tertiary Storage

It is an extensive electronic storage system that is typically quite sluggish; hence, it stores components that are retrieved occasionally. This method often incorporates a robotic device that mounts and dismounts removable drives into computer storage units following the system requirements. It helps access extremely massive databases without the assistance of any human controllers.

Traditional Storage Technologies

The conventional data storage systems are as follows: 

Magnetic Storage

A magnetic memory, such as an HDD, comprises circular drives composed of non-magnetic components and coated using a thin film of magnetic material, where data is stored. The magnetized face of such disks go inside a rotary drive, with a read-write unit of a magnetic yoke and a magnetizing coil that spins in close range of the disks.

Optical Storage

An optical drive is a device that uses optical storage techniques for data processing functions such as read/write/access. Laser light helps in reading and storing data on an optical disk. An optical disk is a resin similar to polycarbonate, and the electronic data is maintained in tiny openings on the polycarbonate layer.

Modern Data Storage Technologies

The modern data storage systems are as follows: 

Flash Storage

Flash storage uses solid-state drives (SSDs) with flash memory for large-scale data or file archiving. It substitutes HDDs and other forms of storage. A multi-terabyte dataset can be kept “in memory” using an all-flash array, which offers read/write speeds four times faster than HDDs. Compared to HDDs, flash storage has a higher density. 

Cloud Storage

By replicating the capability of physical storage devices, cloud storage enables you to save or retrieve various content types whenever you need to from a virtual setting. Any data uploaded to the cloud is kept off-site in reliable data centers, and an on-site operator or an off-site third-party service often handles it. Users can access cloud storage using a computer with an internet connection, web portal, intranet, cloud storage apps, or additional application programming interfaces (APIs). 

Object Storage

Object storage is a technique that manages data storage in distinct components or objects. A framework on which data analytics software can run queries on objects is known as an object store. By adopting a flat address space, object storage removes the need for the hierarchical structure that different systems need. This enables easy scaling up or down to accommodate storage workload variations and accommodate quick expansions and contractions.

Software-Defined Storage

SDS is a storage system that separates the hardware and software used for storage. Unlike conventional NAS or SAN systems, SDS runs on any x86 or industry-standard system, eliminating the software’s reliance on specific hardware. Software-defined storage is a method of managing data that makes data storage resources more flexible by abstracting them from the supporting physical storage hardware. 

How Does Data Storage Work?

Whenever you upload digital data to a personal computer, it gets saved to a device, which stays there until it is damaged. Storage is fundamentally different from computer memory: While anyone can swiftly retrieve information from your computer’s RAM, such data is only accessible in RAM when your computer is off. 

Modern computers or devices may connect to storage devices directly or via a network connection. Users give computers instructions for accessing data stored on and retrieved from various storage devices. On a basic level, data storage depends on two principles: the form it takes and the hardware that it is captured and stored on.

Data Storage Architectures and Concepts

The distinct data storage architectures and concepts are as follows: 

RAID (Redundant Array of Independent Disks)

RAID is a method that uses several drives in tandem rather than just one to boost performance, provide data redundancy, or both. It is a method for securing data during a drive crash by maintaining the same data in different places on many hard drives or solid-state storage devices. It has two or more parallel-operating disks, and RAID level is how disks are arranged. 

A network-attached storage (NAS) server is a specific storage platform that links to devices over a LAN. The server’s connectivity features allow for the retrieval and storage of data from many external devices, and NAS storage also offers extensive sharing capabilities. The system utilizes the features of a file-storage technology and the clustering of a redundant array of drives (RAID). 

Source: Phonixnap

SAN (Storage Area Network)

A storage area network (SAN) is a network-based storage that can access data at the block level. This kind of storage consists of several data storage units connected by a network. The storage format is an amalgam of NAS and DAS. The storage type transfers data across a server and storage using specific networking protocols, like Fibre Channels.

The difference between object storage and block storage are as follows:

Object StorageBlock StorageData is held in flat-file systems as different, distinctive, and recognizable components called objects.Fixed-sized blocks divide the data into sections and rearrange it when necessary.Cost-effective ExpensiveUnlimited Scalability Limited ScalabilityA single central or decentralized system that maintains data in the private, public, hybrid, or cloud.A centralized system for on-site or private cloud data storage. If the program and its data storage are located far away from one another, latencies could pose a concern.Suitable for large amounts of raw data. Large files yield the greatest chúng tôi for storing databases and data related to transactions. It performs best with compact files.

Best Practices for Data Storage Management

Some of the best practices for data storage management are as follows:

Data Backup and Recovery

After you transfer your data from regular, operational systems for immediate and future storage, a reliable data backup and recovery plan will ensure it is constantly kept secure. Backup copies enable data to be recovered from an earlier date, enabling the organization to recover from unforeseen circumstances. Maintaining another copy of the data on another storage device is important for protecting against original data loss or corruption.

Data Deduplication

There are instances where similar data is produced due to repeated operations. You can improve data management and reduce storage costs by setting up a human or automated procedure that constantly evaluates data and eliminates duplicates. Your data will remain clean and prepared for evaluation and questions.

Data Compression

Data compression makes files take up less room on a hard drive and takes less time to transfer or download. The decrease in distance and time could lead to major savings in expenses. It makes it possible to transport data objects and files quickly through networks and the Internet while maximizing the use of physical storage space.

Data Security and Encryption

It measures enable you to identify sensitive data and essential assets, and establish robust security measures that monitor and protect every stage of data sorting, thereby maximizing your data security. Encryption converts the data you store into nonsensical codes; only the owner’s key can decode it. This ensures the data won’t be used, even when unauthorized people gain access to it.

Data Storage in Mobile Devices Internal Storage

The internal memory space of the device is the internal storage. The files you maintain here are restricted to the application itself, so no matter their permissions, other applications cannot access those. Android OEMs and app developers utilize internal storage to store private data, app data, user settings, and additional system files. 

External Storage

Any storage not part of the device’s internal memory, including an attached SD card, is called external storage. Any app with the appropriate permissions could have access to this region, which serves as a free-for-all area. There are two kinds of external storage: SD cards, commonly called memory cards, which represent the secondary external storage, and built-in external storage, which is the primary external storage. 

What’s Next? Frequently Asked Questions

Q1. What are some examples of tertiary storage?

A. Magnetic tape, optical discs, and optical tapes are a few examples of tertiary storage. These gadgets have distinctive portable storage components and are made up of fixed drivers.

Q2. What is the most popular type of storage?

A. A conventional hard disk (HDD) is one of the most widely used media storage systems.

Q3. Where is SDS used?

A. Software-defined storage (SDS) is a technique for managing data storage that carefully divides the operations responsible for allocating resources, securing data, and managing and placing data from the hardware needed to store data.


Robotics Is Making Alliance Between Employees And Technology

How is Robotics building bridges between Employees and Technology?

Traditionally, human beings design and construct robotics, and the use of machines to perform tasks. Robots are broadly used in industries such as automobile manufacturing to perform simple repetitive tasks. In such industries, work must be performed in ecosystems hazardous to humans.

Traditionally, human beings design and construct robotics, and the use of machines to perform tasks. Robots are broadly used in industries such as automobile manufacturing to perform simple repetitive tasks. In such industries, work must be performed in ecosystems hazardous to humans. Almost every aspect of robotics involve artificial intelligence (AI), robots may be equipped with the equivalent of human senses like vision, touch, and ability to sense temperature. Some of them are even capable of decision making. Today’s research on robotics is geared toward devising robots with a degree of self-efficiency that will enable mobility and decision-making in an unstructured ecosystem. Current industrial robots do not resemble human beings. Industries are using robots for stimulating manufacturing electric signals and designing biomedical equipments etc. Robotics requires a set of applications, including computer integrated manufacturing, mechanical engineering, biological mechanics, electrical engineering, and software engineering. Nowadays, Automation and Robotics Engineering have been used to control systems and in information technology to reduce human work while producing goods and services. Vice President, Product, Program, and UX Design for Brain Corp Phil Duffy joined host Daniel Litwin to cover a broad critical topic in today’s automated world . They are tackling how robotics is creating new bridges between employees and technology. Brain Corp develops software for autonomous mobile robots (AMRs), designed for retailers and grocery stores around the world and counts several Fortune 500 customers among its client bases, such as Walmart, Kroger, Schnucks, Giant Eagle, and Simon Property Group. Phil Duffy provided some essential insights from the front lines on how those customers and others are leveraging AMRs during the pandemic. He was trying to explore how the rapid growth of adoption of robotic solutions could continue into the new normal and beyond. He further emphasized the effect of robotics on daily operations during the coronavirus pandemic and into global reopening. Duffy said, “We’ve known about robots in a warehouse and industrial setting for 20-odd years, but the robots that scale in open-to-public spaces are relatively a new thing.” He elaborated, “Up until recently, customers have been nervous about the prospect of robots in open spaces. What’s happened during COVID-19 pandemic is that a lot of the customers we deal with in the robotics industry have recognized that there’s an opportunity here to gain value.” That translates to robots potentially taking over dull and monotonous jobs, enabling human employees to take on cleaning of data and other important tasks during this unprecedented time of COVID-19. The alliance between humans and machines will survive the global pandemic and set a new definition of work. Collaborating robots with employees can do physical work and provide real intelligence. Perception and ability of making decisions allow creation to grow in ecosystems that would be unsafe or unpleasant for human employees. Instead of being insecure, robotics is helping to build new bridges between employees and machines to get through the pandemic.

Analytics Insight Estimates Indian Surgical Robotics Market At Us$129 Million By 2025

Robotic Surgery or Surgical Robots has redefined the healthcare landscape in India, with its technology precision and higher success rate. This futuristic surgery enables the robot to replicate the surgeon’s hand movements while simultaneously minimizing tremors. Surgical robots allow precision to the surgeons who can operate with control and enhanced dexterity even during the most complex procedures. India’s first robot-assisted surgical procedure dates back to 2002, at a Delhi hospital which used the da Vinci surgical system from Sunnyvale, California-based Intuitive Surgical Inc. India’s cardiac surgeon Dr. Tejas Patel conducted the world’s first telerobotic surgery in Ahmedabad. The patient was a middle-aged woman with a blocked artery at Apex Hospital, located 32 kilometers away. Dr. Patel guided the robotic arms through a joystick to perform the coronary intervention.  

Market Potential

According to Ashish Sukhadeve, Founder and Editor-in-Chief, Analytics Insight, the Surgical Robotics Market in India is predicted to witness a remarkable increase from US$129.9 million in 2023 to US$372.5 million in 2025, growing at a CAGR of 19.2%. On a global scale, the market stood at US$4.9 billion back in 2023, a figure which is expected to grow to US$9.3 billion with a CAGR of 11.4% by 2025, indicating a huge potential of the surgical robots making healthcare a more flawless experience.  

The Payback

Globally, robotics is deployed in surgeries for gallbladder removals, lung cancer procedures, on prostate, ENT, hair-loss treatment, spine surgeries and certain tumor procedures. Robotic surgeries assure a healthier post-operative life, with minimal blood loss, quicker healing and return to normal activities, minimal scarring and shorter hospital stays for those suffering from life-threatening conditions in their reproductive, respiratory, urinary and digestive systems.  

Risks Involved

Implementing surgical robots into operation does involve some hiccups. Finding qualifying surgeons who can implement these procedures remains a major roadblock to adoption. Add to it, the high-end da Vinci surgical system costs approximately $1.75 million along with annual maintenance and disposable supply costs that add to $1,500 per procedure. These high costs involved make the futuristic technology beyond the reach of many Indian healthcare systems. Another approach to cutting costs is to encourage

The Avenues of Adoption

So far, 30 Indian health facilities are performing high-end robotic surgeries nationwide. Of these, 12 are located in northern India, which includes Rajiv Gandhi Cancer Institute, Sir Ganga Ram Hospital, Fortis, Medanta, AIIMS, Apollo and Max Hospital. In the western geography, eight hospitals deploy surgical robotics procedures which include the Kokilaben Dhirubhai Ambani Hospital, Sir HN Reliance Foundation Hospital, Tata Memorial Hospital and Jaslok Hospital. Seven hospitals implement robotics surgery in southern India, an illustrative list which includes the Apollo Hospital (Chennai and Hyderabad), the Amrita Institute of Medical Sciences, Aster Medicity, Kochi and the Krishna Institute of Medical Sciences (KIMS). The Apollo Gleneagles Hospital, Kolkata is the only hospital in the eastern landscape that implements surgical bots in surgeries.  

On a Futuristic Note

There are a number of Indian health facilities which offer robotic surgical procedures. This figure has grown impressively over the past several years, and there are some meaningful steps in this regard. Notable mentions include the Bengaluru-based Vattikuti Technologies which is promoting the adoption of da Vinci in India.

Chatgpt In Classrooms – How Can It Be Used?

Unlike the old classrooms, modern classes are equipped with various technologies. The traditional methods of teaching are being replaced with smart tech gadgets. Likewise, a new smart tool is entering the classrooms of almost every school, ChatGPT.

ChatGPT is an artificial intelligence tool developed by Open AI. This tool uses artificial intelligence to answer almost every question you throw at it. Now that means it can also help students with their homework, solving complex questions, etc.

But is that the only way to use ChatGPT in classrooms?

Of course, not!

ChatGPT comprises various features, and it can assist teachers and students in different ways. So, let’s look at some interesting ways to use ChatGPT in Classrooms.

How can ChatGPT be used in the classroom?

ChatGPT is a popular artificial intelligence tool used in various industries. The tool can assist in the education industry as well. ChatGPT can be used by teachers and students in classrooms.

For instance, teachers can use ChatGPT to rectify grammatical or writing mistakes. They can also use it to grade students’ work. However, for that, teachers will have to input information on how to assess the work. The tool will then take care of the rest.

Similarly, students can use ChatGPT to improve their writing skills. They can also take help from ChatGPT when they are stuck solving assignments or complex mathematical questions.

Concerns About ChatGPT in Classrooms

ChatGPT can be a helpful tool in classrooms. But every good thing has some negative points. Regarding the use of ChatGPT in classrooms, the outcomes of using this tool can lead to some serious issues. For example:

This tool will always provide answers at students’ fingertips, preventing them from utilizing their brains. This way, the creative thinking abilities of students won’t develop.

The tool might produce plagiarized content. If the student uses ChatGPT only to write essays and answer assignments, the student’s work will be considered plagiarized.

If students start using ChatGPT for their homework and assignments, it will prevent them from studying hard.

19 Ways to Use ChatGPT in Your Classroom 

Various reasons encourage students and teachers to keep using ChatGPT in the classroom. Here are a few ideas for using ChatGPT in a classroom:

Use ChatGPT to generate writing prompts. Teachers or students can enter an original idea into ChatGPT and turn the text into a story or essay.

Teachers can ask ChatGPT to generate a comprehension to test the students’ reading skills. Students can then answer the comprehension questions after reading the passage.

Use ChatGPT to find grammatical errors or writing mistakes in a text. Teachers can use it to provide feedback to students, while students can use ChatGPT to practice their grammatical skills.

Teachers can use ChatGPT to automate their tasks, like providing feedback to students or assigning grades to their assignments.

Students can use ChatGPT to answer their homework or assignment questions.

Students can use ChatGPT to practice their writing skills. For instance, you can write a text and ask ChatGPT to spot the mistakes, show a different vocabulary for a word, or provide feedback.

If you want to generate ideas for something, ChatGPT can help you brainstorm ideas.

Students can use ChatGPT for revision. They can write answers to questions and ask ChatGPT for feedback.

ChatGPT can help in creating outlines. You can enter a topic or question in ChatGPT and ask it to prepare an outline highlighting important concepts from the topic.

Students can use ChatGPT to learn a new language. ChatGPT can help students to translate text into various languages. Students can type in a text and learn its translation in any language by commanding ChatGPT.

Students can use ChatGPT to play various mind games. The app supports various games. You can ask it to play a game with you, and it will create a relevant prompt. You can then enjoy gaming!

Students can use ChatGPT to learn and practice their coding skills. The tool can help students in writing programs in different computer languages. It can also assist in debugging the code.

Teachers can use ChatGPT to generate fill-in-the-gap exercises. This will enhance the reading and writing skills of their students.

ChatGPT can be used to generate infinite vocabulary words. Teachers can ask students to say words starting from a particular letter or related to something, and ChatGPT will verify whether they are correct.

ChatGPT can help students in writing short stories or poems. Students can enter their requirements, and ChatGPT will generate a story or poem accordingly.

Teachers can use ChatGPT to explain topics to their students according to their class level. For example, they can tell ChatGPT to explain a complex topic as if it is explained to a 6th-grade student.

Teachers can use ChatGPT to create test papers for their students.

Students can use ChatGPT to review a particular concept in any subject. For example, ask ChatGPT why mercury is a metal?

Students can use ChatGPT as a discussion or debate tool. Give it a statement and ask it to argue on it. You can also ask for feedback at the end.

How Teachers and Students Are Using ChatGPT

Teachers and students are using ChatGPT in different ways within the classroom. Teachers use the tool to create tests, explain topics to students, generate writing prompts, and grade students’ assignments.

Contrarily, Students use ChatGPT to generate essays, answer homework and assignment questions, revise concepts, practice coding, or improve their writing skills.

Can I use ChatGPT for School?

ChatGPT got popular soon after its release. However, the tool created several concerns for schools since it would limit students’ thinking and creative capabilities.

So, some ChatGPT Banned in Schools. Students caught using ChatGPT in such schools would be punished.

However, several schools still support the use of ChatGPT. If you wish to use ChatGPT in your school, you’ll have to check the school’s guidelines to see if they allow ChatGPT. If ChatGPT is not banned in your school, you can use it without any worries.

Related Post:

What is the impact of ChatGPT on education?

ChatGPT is a helpful tool in the education sector. It can be of great help to students and teachers if used ethically. However, the tool comes with some negative factors that should be addressed.

For example, students shouldn’t rely on this tool entirely as it would limit their growth and development. Again, this tool should be used to practice and improve the student’s skills.

If used properly, ChatGPT can help students and teachers in various ways, as explained in this guide.

How To Sell On Amazon With Amazon Seller Account

How To Sell on Amazon With Amazon Seller Account

Here in this article, you will find a step-by-step guide to create an Amazon seller account.

Pre-Requisites of Amazon Merchant Account Business Information

You’ll need to have a legal business name, address and business contact information.

Business Email Address Bank Account With Credit/Debit Card Registered Phone Number

A registered phone number is required that is operational 24/7 for all major communications and notifications. Amazon will also contact you during the registration process to become an Amazon seller.

Tax ID / GSTIN #

Sales tax number, Social Security number, State Tax ID, company’s Federal Tax ID number or GSTIN needs to be ready before signing up for an Amazon merchant account. If you have any of them missing, you will need to apply for the same immediately. A Chartered Accountant (CA) can be a better help in setting up your papers.

Identity Proofs

Your Address proof, Identity proofs are required to set up your Amazon merchant account. Voter ID Card, Driving Licence, Electricity Bill, Gas Bill or SSN ID card can be an option.

How to Create an Amazon Seller Account

You can create an Amazon seller account with $39.99 a month plus fees on selling products on Amazon. Simply go to Amazon Seller Central and the ‘Start Selling Button.

It will ask you to login with your account or create a new one. Once you are logged on to Amazon seller central, it will ask you to select a business location and business type. Here you need to enter the registered location of your business, else you can simply select your country of residence.

If you are not planning for a seasonal account and want to create an account for the long run, a Professional Account would be the better option.

It will cost you $39.99 a month.

Professional Account removes the $0.99 per item sold fee.

It allows you to sell a product in more than one category.

It allows you to create the Buy Box for your product.

Also Read: Find What Amazon Knows About You

If you have 40 orders a month, the fee for the Professional account is already recovered. It will definitely be profitable to have a Professional account in the longer run.

Checklist to Register for Amazon Seller Account

Before you jump on to create an Amazon global selling account, there are a few Amazon analytics that you should perform.

Decide your Product Category with a proper research

Choose the appropriate Amazon selling plan for your business

Identify top-selling products on Amazon store

Know your competitors on Amazon global selling platform

Plan a strategy to promote Amazon products

Explore Amazon return policy and all other policies

Clear all your doubts with Amazon seller customer care

Create an Amazon seller account with proper documentation

Start selling products on Amazon marketplace

Register the same products on other e-commerce websites

Policies You Should Know to Become an Amazon Seller?

Running a great business is not possible without policies, rules, and regulations. There are some policies you should be aware of before you start selling on Amazon. It will ask you to log in to your Amazon Seller Account to go through these policies.

Selling Policies

Policies and Agreements

Product Detail Page Rules

Category, Product, and Listing Restrictions

Prohibited Seller Code of Conduct

Shipping Policies

You will need to spend some time to understand these policies and abide by the rules set by Amazon to keep your account active and earn some profit on the page.

Wrapping Up

We hope this short-yet-simple guide turns out to be helpful to you and  things don’t look confusing when you go to Amazon seller central to sign up for a new account. Start selling on Amazon with top-selling items on Amazon and make huge profits with selling products on Amazon.

Quick Reaction:

About the author

Raj Soni

Update the detailed information about How Robotics Is Used By Bank Of America, Amazon, Nasa, Evergreen, Mamou on the website. We hope the article's content will meet your needs, and we will regularly update the information to provide you with the fastest and most accurate information. Have a great day!