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Scope of Operation Research

• Updated on  
• Aug 19, 2022

What is the scope of operational research? To answer this, we will first have to understand what operations research means. Operational Research can be simply formulated as the science of rational decision-making along with the study of the synthesis of intricate problematic situations. Thus, the nature of operations research is purely scientific as it aims at determining the systematic behaviour and hence optimizing the results. The scope and applications of operations research empower decision-making in those business aspects where there is a larger concern of allocation of scarce resources especially like capital, investment, labour, etc.

This Blog Includes:

Scope and application of operations research, nature of operations research, limitations of operations research, characteristics of operations research, phases of operation research, where is operation research used, methodologies, roles & responsibilities in operation research , defence services, agriculture, industrial sector, scope of operational research: job profiles .

Operation Research centrally focuses on simplifying complicated business problems into well-defined mathematical constructs and works specifying expected behaviour as well as goals. The key application of Operations Research is that it facilitates decision making in those aspects of a business where resource allocation is paramount, i.e. capital, labour, time and other business resources. Given that it is rooted in computer science and analytics, there is an immense scope of operation research in every business enterprise.

Here are the key areas of the scope and application of operations research:

• Healthcare Management and Hospital Administration
• Financial Management , Budgeting and Investments
• Government Development / Public Sector Units
• Energy and Environment
• Marketing and Revenue Management
• Telecommunication Networks
• Military Defences
• Supply Chain Management
• Purchasing / Procurement / Logistics
• National Plans / Budgets

Find out everything about Operations Management MBA !  

When it comes to the nature of operations research, business experts and scholars describe it as a science as operations research takes a mathematical and scientific approach to decision-making and problem-solving. Let’s understand the nature of operations research through these key definitions:

• “Operations Research is a scientific approach to problem-solving for executive management.” – H.M Wagner
• “Operations Research is the systematic, method oriented study of the basic structure, characteristics, functions and relationships of an organization to provide the executive with a sound, scientific and quantitative basis for decision making.” – E.L. Arnoff and M.J. Netzorg
• “Operations Research is an aid for the executive in making his decision by providing him with the needed quantitative information based on the scientific method of analysis.” – C. Kittel
• “O.R. is an experimental and applied science devoted to observing, understanding and predicting the behavior of purposeful man-machine systems and operations research workers are actively engaged in applying this knowledge to practical problems in business, government and society.” – Operations Research Society of America

There are certain limitations and disadvantages of operations research that you must also know about. Here are the limitations of operations research:

• Operation Research can be costly in terms of implementation as well as using the best technology and tools for simulations.
• Operation Research also requires a team of analysts or experts to carry out every step of the process and thus needs a team of properly qualified professionals to find the best results and solutions.
• Operation Research also relies heavily on technology as software applications and tools play an imperative part in data analysis and predictions.

Given below are the 3 main characteristics of Operations Research, i.e. Optimization, Stimulation and Probability & Statistics.

Optimization The objective of Operations Research is to provide better performance in any given situation. The process of doing this involves a lot of data collection and analysis of possible outcomes. The process of optimization involves a critical analysis of all the available options and selecting the highly relevant ones. 

Simulation Before you move on with selected options or methods to improve the overall result, you must be sure that the selected method is going to be beneficial. This part is ensured by the process of simulation.

Probability and Statistics Mathematical algorithms are the best way to evaluate potential risks and predict the possible outcomes beforehand. Thus, Operation Research involves intensive use of statistical and mathematical approach to cover all the circumstances.

There are three phases in an operation research study –

• Determining the operation and objectives
• It also includes determining the effectiveness of different steps, the type of problem, its origin and the causes behind it.
• Formulating the hypothesis and models
• Next step is analyzing the information collected and verifying the hypothesis.
• The last step in this phase is the production and generation of results and considering all the other alternatives.
• Giving recommendations for the solution to the problem including the assumptions, scope, limitations and other alternatives.
• Lastly, the solution has to be put to work.

Here are the most common problems that can be solved by Operation Research:

When operation research is carried out in a business enterprise, there are three major steps followed to complete the OR process. These steps are:

• Judgement : At this phase, the clarification of the problem happens. First, the problem is defined in a simple manner and then the objectives and ways for measuring the final results and success are also determined.
• Research : Once you have defined what the problem is, the research phase carries out the accumulation of data about the problem and then determining the hypothesis, validating the hypothesis and then developing the model(s) and thus making possible predictions.
• Action : After getting the predictions, results are incorporated and the necessary improvements and changes take place.

If you imagine yourself working in the field of Operational Research, there are many essential responsibilities that you will be expected to handle. Hence, you need to be well-versed with the qualities and attributes required to apprehend critical situations and problems. So, before moving to the scope of Operation Research, take a look at the following roles and responsibilities that you will be carried out under varied career profiles. 

• To analyze and devise the plan using statistical analysis, predictive modelling, simulations and methods to exempt the organizations from business problems. 
• To help organisational teams with in-depth research on various topics. 
• Collect the required information for the company from co-workers and utilize it in situations to come up with decisions. 
• Preparing reports by performing critical analyses of the key matrices. 
• Support the company with advantageous financial decisions while comprehending the budgets.

Find our how to make a career in Operational Research !

Career Scope of Operation Research: Employment Areas

With a degree in Operation Research or its related field, candidates can enter many employment areas. These leading job destinations can carve your career and provide you with a high-end growth ahead. To help you understand the scope of operation research, let’s elaborate some of the top-notch job-sectors that you can explore.

• Logistics and Supply Chain Management
• Marketing Management

There are several departments in the defence services like administrations, training, supply etc. which involves in-depth knowledge of operations. To perform warfare tasks in the Army, Navy, Air Force with promptness, there is always a constant demand for candidates with a degree in operation research. Thus, in the defence services, there is a wide scope of operation research as candidates get the opportunity to work in a dynamic environment and under higher roles facilitating the formulation of policies and strategies.

Being brought up in a country like India where agriculture is a colossal part of the economy, we often think that this domain is only for farmers or rather scientists. But, with the dire need to ensure optimum utilization of resources, there is a greater scope of operation research in this field. With sky-rocketing population, operation research can ensure optimization in agriculture and potential graduates in this field can avail the opportunities to work as research assistants under this domain.

In the advent of globalization, the industrial sector is experiencing an upheaval across the globe. To frame and handle the ever-rising demands of the organizations, candidates with brainstorming abilities are selected for various profiles in operation research. You can also opt for a specialised role like an Operational Research Analyst, who is expected to tackle the upcoming discrepancies in a business.

Have a look at the Job Oriented Courses After MBA

In the above-mentioned sectors, there is a multitude of career profiles available for those wanting to kickstart their career in operation research. Below we have brought you some of the key job roles which depict the varied scope of operation research: 

• Operations Analyst   
• Research Analyst 
• Operation Research Analyst 
• Project Manager 
• Data Analyst
• Consultant 
• System Analyst 
• Senior Analyst 
• Operations Officer
• Project Analyst 
• Quality Assurance Analyst

It is the research process from which management provides support for their decisions. While the name of this method is relatively new, the method used for this is not a new one. Operation Analysis is concerned with applying the concepts and techniques of science to strategic issues.

In its latest years of organized growth, O.R. Several research proceedings for the military, government and industry have been successfully resolved. In most developing countries in Asia and Africa, the underlying issue is that poverty and hunger should be removed as soon as possible. There is also a tremendous opportunity for economists , statisticians, managers, politicians and technicians working in a team to address this issue through an O.R. Approaching.

Over the next ten years, the employment of operational research analysts is expected to rise by 25 percent, far faster than the average for all occupations. As technology progresses and businesses are pursuing efficiency and cost savings, the market for analysis of operations research should continue to rise. Therefore, it is a good career option

Here are the advantages of Operation Research – 1. Effective Decisions 2. Better Coordination 3. Facilitates Control 4. Improves Productivity

Hence, we hope that this blog has helped you understand the career scope of operation research as well as an array of opportunities that you can discover in this specialised domain. If you are allured by the fascinating above-listed job profiles and want to start a career in this field, then you should definitely opt for an academic degree to understand the intricacies of this domain. Take the help of Leverage Edu ’s AI-based tool to browse through a plethora of specialised programs in this field and find the best course and university combination that can equip you with the required knowledge and exposure to establish your career in Operation Research.

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Advantages & Limitations of Operations Research

Operations research is a robust tool and offers directions in making the best decisions possible given the data available.

Advantages of Operations Research

Better Systems: Often, an O.R. approach is initiated to analyze a particular problem of decision making such as best location for factories, whether to open a new warehouse, etc. It also helps in selecting economical means of transportation , jobs sequencing, production scheduling, replacement of old machinery, etc.

Better Control: The management of large organizations recognize that it is a difficult and costly affair to provide continuous executive supervision to every routine work. An O.R. approach may provide the executive with an analytical and quantitative basis to identify the problem area. The most frequently adopted applications in this category deal with production scheduling and inventory replenishment.

Better Decisions: O.R. models help in improved decision making and reduce the risk of making erroneous decisions. O.R. approach gives the executive an improved insight into how he makes his decisions.

"If you don't actively attack the risks, they will actively attack you." - Tom Gilb

Better Co-ordination: An operations-research-oriented planning model helps in co-ordinating different divisions of a company.

Limitations of Operations Research

Dependence on an Electronic Computer: O.R. techniques try to find out an optimal solution taking into account all the factors. In the modern society, these factors are enormous and expressing them in quantity and establishing relationships among these require voluminous calculations that can only be handled by computers.

Non-Quantifiable Factors: O.R. techniques provide a solution only when all the elements related to a problem can be quantified. All relevant variables do not lend themselves to quantification. Factors that cannot be quantified find no place in O.R. models.

Distance between Manager and Operations Researcher: O.R. being specialist's job requires a mathematician or a statistician, who might not be aware of the business problems. Similarly, a manager fails to understand the complex working of O.R. Thus, there is a gap between the two.

Money and Time Costs: When the basic data are subjected to frequent changes, incorporating them into the O.R. models is a costly affair. Moreover, a fairly good solution at present may be more desirable than a perfect O.R. solution available after sometime.

Implementation: Implementation of decisions is a delicate task. It must take into account the complexities of human relations and behaviour.

Operations Research Uses (Role)

Operations research plays an important role in almost all areas of business decisions. Some problems where operational research (OR) approach can be used:

1. Finance, Budgeting and Investments

• Credit policy analysis.
• Cash flow analysis.
• Dividend policies.
• Investment portfolios.

2. Marketing

• Product selection, timing, etc.
• Advertising media, budget allocation.
• Number of salesman required.
• Selection of product mix.

3. Purchasing, Procurement and Exploration

• Optimal buying and reordering.
• Replacement policies

4. Production Management

• Location and size of warehouses, factories, retail outlets, etc.
• Distribution policy.
• Loading and unloading facilities for trucks, etc.
• Production scheduling.
• Optimum product mix.
• Project scheduling and allocation of resources.

5. Personnel Management

• Selection of suitable personnel.
• Recruitment of employees.
• Assignment of jobs.
• Skills balancing.

6. Research and Development

• Project selection.
• Control of R&D projects.
• Reliability and alternative design.

O.R. is a relatively new academic discipline. It has its origin in World War II and soon became very popular throughout the world. Developing appropriate mathematical models for situations, processes, systems is the basic essence of O.R. study. Linear programming , dynamic programming , game theory , simulation , etc. are some of the models & techniques that are used in O.R. There is role for O.R. in almost all areas of business decisions.

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Understanding the Limitations of Operations Research

In this blog, we’ll dive into the various limitations of Operations Research.

Operations Research is a powerful tool that can help businesses and organizations optimize their operations and decision-making processes. However, like any tool, it has its limitations. Here are some of the key limitations of Operations Research:

• Assumptions: Operations Research relies heavily on making certain assumptions about the problem being studied. If these assumptions are incorrect or inaccurate, the results of the study may be unreliable or even misleading.
• Data Quality: Operations Research is only as good as the data it’s based on. If the data is incomplete, inaccurate, or outdated, the results of the study may be compromised.
• Human Factors: Operations Research models often don’t account for human factors such as emotions, biases, and preferences. This can lead to suboptimal solutions that don’t take into account the real-world human factors at play.
• Complexity: Some problems are simply too complex for Operations Research to handle effectively. As the complexity of the problem increases, the number of variables and constraints can quickly become overwhelming, making it difficult to find an optimal solution.
• Cost: Implementing the solutions proposed by Operations Research studies can be expensive, especially if significant changes need to be made to existing systems or processes.

Why are Limitations of Operations Research Important to Know?

As an MBA student studying Operations Research, it’s important to understand the limitations of the field. By understanding these limitations, you’ll be better equipped to identify when Operations Research is the appropriate tool to use and when other approaches may be more appropriate. Additionally, understanding the limitations of Operations Research will help you better interpret and evaluate the results of studies that rely on Operations Research.

Operations Research is a powerful tool that can help organizations optimize their decision-making processes. However, it’s important to understand the limitations of the field. By doing so, you’ll be better equipped to use Operations Research effectively and evaluate the results of studies that rely on it. Remember, no tool is perfect, and understanding its limitations is key to using it effectively.

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Operations Research

1 Operations Research-An Overview

• History of O.R.
• Approach, Techniques and Tools
• Phases and Processes of O.R. Study
• Typical Applications of O.R
• Limitations of Operations Research
• Models in Operations Research
• O.R. in real world

2 Linear Programming: Formulation and Graphical Method

• General formulation of Linear Programming Problem
• Optimisation Models
• Basics of Graphic Method
• Important steps to draw graph
• Multiple, Unbounded Solution and Infeasible Problems
• Solving Linear Programming Graphically Using Computer
• Application of Linear Programming in Business and Industry

3 Linear Programming-Simplex Method

• Principle of Simplex Method
• Computational aspect of Simplex Method
• Simplex Method with several Decision Variables
• Two Phase and M-method
• Multiple Solution, Unbounded Solution and Infeasible Problem
• Sensitivity Analysis
• Dual Linear Programming Problem

4 Transportation Problem

• Basic Feasible Solution of a Transportation Problem
• Modified Distribution Method
• Stepping Stone Method
• Unbalanced Transportation Problem
• Degenerate Transportation Problem
• Transhipment Problem
• Maximisation in a Transportation Problem

5 Assignment Problem

• Solution of the Assignment Problem
• Unbalanced Assignment Problem
• Problem with some Infeasible Assignments
• Maximisation in an Assignment Problem
• Crew Assignment Problem

6 Application of Excel Solver to Solve LPP

• Building Excel model for solving LP: An Illustrative Example

7 Goal Programming

• Concepts of goal programming
• Goal programming model formulation
• Graphical method of goal programming
• The simplex method of goal programming
• Using Excel Solver to Solve Goal Programming Models
• Application areas of goal programming

8 Integer Programming

• Some Integer Programming Formulation Techniques
• Binary Representation of General Integer Variables
• Unimodularity
• Cutting Plane Method
• Branch and Bound Method
• Solver Solution

9 Dynamic Programming

• Dynamic Programming Methodology: An Example
• Definitions and Notations
• Dynamic Programming Applications

10 Non-Linear Programming

• Solution of a Non-linear Programming Problem
• Convex and Concave Functions
• Kuhn-Tucker Conditions for Constrained Optimisation
• Quadratic Programming
• Separable Programming
• NLP Models with Solver

11 Introduction to game theory and its Applications

• Important terms in Game Theory
• Saddle points
• Mixed strategies: Games without saddle points
• 2 x n games
• Exploiting an opponent’s mistakes

12 Monte Carlo Simulation

• Reasons for using simulation
• Monte Carlo simulation
• Limitations of simulation
• Steps in the simulation process
• Some practical applications of simulation
• Two typical examples of hand-computed simulation
• Computer simulation

13 Queueing Models

• Characteristics of a queueing model
• Notations and Symbols
• Statistical methods in queueing
• The M/M/I System
• The M/M/C System
• The M/Ek/I System
• Decision problems in queueing

• Operations Research
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Operations Management - Introduction to Operations Research

Limitations of operations research.

OR has some limitations however, these are related to the problem of model building and the time and money factors involved in application rather than its practical utility.

(i) Magnitude of Computation

(ii) non-quantifiable factors, (iii) distance between user and analyst, (iv)time and money costs, (v) implementation, other sugest topic.

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INTRODUCTION TO OPERATIONS RESEARCH

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Quantitative Techniques An Introduction

UNIT 1 CONCEPT OF MANAGERIAL ECONOMICS. After going through this unit, you will be able to: Explain the meaning and definition of managerial economics.

UNIT 1 CONCEPT OF MANAGERIAL ECONOMICS (continue)

Linear Programming Problem. Introduction Linear Programming was developed by George B Dantzing in 1947 for solving military logistic operations.

Linear Programming. Introduction: Linear Programming deals with the optimization (max. or min.) of a function of variables, known as ‘objective function’,

INTRODUCTION TO MODELING

Managerial Decision Modeling with Spreadsheets

Chapter 1 Introduction to Modeling DECISION MODELING WITH MICROSOFT EXCEL Copyright 2001 Prentice Hall.

Project management Project manager must;

Introduction to Research Methodology

BUS 2420 Management Science

Overview of The Operations Research Modeling Approach.

1 1 CMSCB3004 Systems, Cybernetics and Management Hard Systems Thinking.

Operational Research & Management By Mohammad Shahid Khan M.Eco., MBA, B.Cs., B.Ed Lecturer in Economics and Business Administration Department of Economics.

Operations Research I Lecture 1-3 Chapter 1

Introduction to Quantitative Techniques

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 Group 3 Vahe Karapetyan Dena Rad Eidin Balali Patrick Njathi Zhong Zheng Damilare Adeoye Operations Research & Linear Programming Agenda Introduction.

IT Job Roles Task 20. Software Engineer Job Description Software engineers are responsible for creating and maintaining software of various different.

Managerial Economics Prof. M. El-Sakka CBA. Kuwait University Managerial Economics in a Global Economy Chapter 1 B.

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'ZDNET Recommends': What exactly does it mean?

ZDNET's recommendations are based on many hours of testing, research, and comparison shopping. We gather data from the best available sources, including vendor and retailer listings as well as other relevant and independent reviews sites. And we pore over customer reviews to find out what matters to real people who already own and use the products and services we’re assessing.

When you click through from our site to a retailer and buy a product or service, we may earn affiliate commissions. This helps support our work, but does not affect what we cover or how, and it does not affect the price you pay. Neither ZDNET nor the author are compensated for these independent reviews. Indeed, we follow strict guidelines that ensure our editorial content is never influenced by advertisers.

ZDNET's editorial team writes on behalf of you, our reader. Our goal is to deliver the most accurate information and the most knowledgeable advice possible in order to help you make smarter buying decisions on tech gear and a wide array of products and services. Our editors thoroughly review and fact-check every article to ensure that our content meets the highest standards. If we have made an error or published misleading information, we will correct or clarify the article. If you see inaccuracies in our content, please report the mistake via this form .

Microsoft Copilot vs. Copilot Pro: Is the subscription fee worth it?

Microsoft's Copilot tool is already freely available as a dedicated webpage, mobile app, and built-in Windows tool, offering quick and easy access to an AI chatbot that will answer your questions, generate content, and create images. But Microsoft upped its game with a Pro version of Copilot that kicks in more features and better access for $20 per month.

Also: Microsoft adds Copilot Pro support to iPhone and Android apps

The free flavor offers the following features:

• Copilot use on the web and in Windows, MacOS, and iPadOS.
• Access to GPT-4 and GPT-4 Turbo during non-peak times.
• Upcoming access to GPT-4o .
• Use of text, voice, and images in conversational search.
• Ability to create and edit AI images with 15 boosts (15 images) per day with the Designer tool.
• Ability to use plug-ins and shared GPTs.

Also:  How to use Image Creator from Microsoft Designer

The Pro version kicks in several additional benefits:

• Faster performance and priority access to GPT-4 and GPT-4 Turbo during peak times.
• Copilot availability in core Microsoft 365 desktop and web apps (Microsoft account required).
• Faster AI image creation with 100 boosts (100 images) per day using Designer .
• Ability to resize AI-created images between square and landscape formats without leaving Designer.
• Ability to create and share your own custom and tailored Copilot GPTs via a Copilot Builder tool .

Beyond using Copilot Pro at the Copilot website through any browser, you can launch it directly in Windows 10 or 11. Simply click the Copilot icon on the Taskbar. The Pro flavor is also accessible in the iPhone and Android Copilot apps . You can use Copilot Pro with a Microsoft 365 subscription in Windows, MacOS, and iPadOS. And you can even tap into the Pro flavor with the free Microsoft 365 apps on the web .

You should use Copilot free if…

1. you don't use microsoft 365 on the desktop or on the web.

For most people, the main advantage of Copilot Pro is the support for Microsoft 365. This means you're able to use AI to create and edit text and perform other advanced tasks in Word, Excel, and other apps both in the desktop suite and on the web. If you don't use any of the Microsoft 365 apps, then the other benefits by themselves probably aren't enough to justify the $20-per-month price tag.

2. You can get by with GPT-3.5 and non-peak use of GPT-4

GPT-4 offers some clear benefits over GPT-3.5, including faster and more accurate responses, longer prompts, a better understanding of context and nuance, greater creativity, the ability to solve complex problems, and fewer biased responses and hallucinations.

Also: ChatGPT vs ChatGPT Plus: Is it worth the subscription fee?

You can access both GPT models through the free version, though you may not be able to use GPT-4 during peak load times. In that case, Copilot will drop down to GPT-3.5. For many people, however, the sporadic GPT-4 access should suffice.

3. Your image generation needs are modest

Using the built-in Designer tool with DALL-E 3, Copilot is able to generate images based on your text descriptions. The free flavor limits the number of images you can generate, granting you 15 boosts (15 images) per day. If you don't need more, then the free flavor of Copilot will work just fine.

4. You already subscribe to ChatGPT Plus

ChatGPT Plus duplicates some of the benefits of Copilot Pro and throws in extra features such as the GPT Store and the ability to create your own custom chatbots. If you already pay $20 per month to subscribe to ChatGPT Plus , there's not as much reason to also subscribe to Copilot Pro. Save yourself some money and stick with the free Copilot flavor.

You should use Copilot Pro if…

1. you use microsoft 365 and want generative ai assistance for the apps.

With its AI skills, Copilot Pro will help you write and edit text and summarize documents in Word, generate formulas and analyze data in Excel, create presentations in PowerPoint, compose text in OneNote, and draft replies and organize your inbox in Outlook. If you use Microsoft 365 on the desktop or on the web and those AI smarts will help you write, create, and work faster, then Copilot Pro can easily be worth the price.

2. You rely heavily on GPT-4 and GPT-4 Turbo

With the Pro edition of Copilot, you won't get saddled with GPT 3.5, even during peak times. Instead, you can switch between GPT-4 and the latest GPT-4 Turbo model. 

If you use GPT-4 heavily and frequently throughout the day and require fast and reliable access all the time, then Copilot Pro gets the nod over the free version.

3. You need to generate a lot of images

While the free Copilot limits the number of images you can generate to 15 per day, the Pro version allows as many as 100. Plus, the image creation tends to be much faster. If you need to create batches of artwork, logos, and other images as part of your job, then you won't run into as many roadblocks with the Pro version.

Both the free and paid versions of Copilot let you edit your images inline without leaving the Designer tool. Copilot Pro goes a step further by allowing you to resize and regenerate images between square and landscape formats.

Also: The best AI image generators

4. You don't subscribe to other premium AI services

Depending on your job and workload, a paid AI service can help you be more productive. If you don't already subscribe to ChatGPT Plus, Google's Gemini Advanced , or a similar service, then Copilot Pro could be just what you need. And remember, you can always try it for a month and then decide if you want to continue or cancel.

5. You'd like to create your own custom Copilot GPTs

With Copilot Pro, you're able to create and configure your own Copilot GPT chatbots . You might try this if you want to design a niche and unique GPT devoted to a specific skill or resource. Using the Copilot GPT Builder, you can either chat with Copilot for AI-infused assistance or manually give your GPT a name, description, and instructions. When done, you can preview your GPT to make sure it works and then either restrict access just to yourself or make it available to anyone with whom you share the link.

Now, let's look at how and where to access the free and paid editions of Copilot.

Free version access at the website

To access the free version on the web, browse to the Copilot webpage . Choose a conversation style and then type your question or request at the "Ask me anything" prompt. On the right, you should see specific Copilot GPTs, including Designer for image generation, a vacation planner, a cooking assistant, and a fitness trainer. The website also offers access to Copilot plugins, such as Instacart, Kayak, and Open Table.

Free version access in Windows

More easily, click the Copilot icon on the Windows 10 or 11 toolbar. A similar interface appears where you choose the conversation style and then dive into your questions.

Free version access in the mobile apps

To use Copilot on your mobile device, download the app for iOS or Android. Choose your preferred conversation style and then submit your requests.

Paid version access at the website

To sign up for the paid version of Copilot, browse to Microsoft's Copilot Pro webpage . Click the button for Get Copilot Pro. At the subscription page, confirm your payment method, and then click the Subscribe button. 

Also: This iPhone app fuses AI with web search, saving you time and energy

After the payment process finishes, click the "Get started" button. You're taken to the Copilot webpage where you'll see Pro as part of the Copilot logo. The Copilot GPTs and plugins are all accessible in the Pro model.

Paid version access in Windows

After subscribing on the website, log back into Windows 10 or 11. Click the Copilot Taskbar icon, and the Pro version will pop up.

Paid version access in the mobile apps

Open the iOS or Android Copilot app and you'll see that Pro is now part of the logo, indicating that you're tapping into your Pro subscription.

Artificial Intelligence

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