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Generative AI


MICROSOFT COPILOT FOR CORPORATES: DATA SECURITY RISKS AND BEST USE CASES

AMNA SHOUKAT ABBASI

Oct 8, 2024 16 min

Microsoft Copilot, an AI assistant, offers benefits for enterprises while
maintaining high data privacy. It can automate tasks and enhance
decision-making. This article highlights ten best use cases demonstrating
Copilot's potential to advance business operations through responsible AI
features.

Microsoft Co-pilot Use Cases
 1.  AI Has Come to Work
     1. Employee Usage is High, but Leadership is Lagging
 2.  What is Microsoft Copilot?
     1. Grounding Copilot in Business Data with Connectors
     2. Extensions to Enhance Workflows
     3. Customizing with Copilot Studio
 3.  Which LLMs are used in Microsoft Copilot?
 4.  Versions of Microsoft Copilot
 5.  How to Access Copilot Feature across Different Microsoft Apps?
 6.  Benefits of Using Copilot Feature
 7.  Data Privacy in Microsoft Copilot
     1. How is Organizational Data protected in a Copilot?
     2. Does Microsoft Copilot Respect Data Privacy Law?
     3. How and Where the Organizational Data is Stored/Managed in the Copilot?
     4. Does Microsoft Copilot Use Organizational Data to Answer User Queries?
     5. Is There a Risk of Data Leakage to Other Private Clouds with Copilot
        Use?
     6. Do Third-Party Apps Have Access to Copilot Private Data?
     7. How to Block Sensitive or Harmful info in Microsoft Copilot?
     8. Can Microsoft Copilot Deployed on Premises?
 8.  Listing 10 Best Microsoft Copilot Use Cases of 2024
     1.  1. Copilot in Software Development
     2.  2. Copilot in Content Creation and Documentation
     3.  3. Copilot in Finance
     4.  4. Copilot Assistance in Legal Documentation
     5.  5. Copilot Use in Education for Personalised Learning
     6.  6. Copilot in Healthcare Analysis and Treatment
     7.  7. Copilot in Logistics Improvement and Supply Chain
     8.  8. Copilot Use in Customer Support Service
     9.  9. Copilot in Optimizing Digital Marketing Campaign
     10. 10. Copilot Use Case in Architecture and Design
 9.  How Copilot Enforces Responsible AI?
 10. Final Thoughts

Microsoft Copilot, a cutting-edge AI assistant integrated into the Microsoft 365
suite, is set to transform the revolutionized landscape of enterprises and
corporates. Leveraging the power of Large Language Models (LLMs), Copilot offers
a diverse range of functionalities. By harnessing the capabilities of AI, users
can elevate productivity and foster innovation in their businesses, paving the
way for a future of streamlined operations and enhanced efficiency.


AI HAS COME TO WORK

In 2024, the integration of AI into workplaces has surged, with 75% of people
already using AI in their daily tasks. This demonstrates a significant shift
toward AI, although the challenge remains to align AI usage with broader
business goals and leadership expectations.


EMPLOYEE USAGE IS HIGH, BUT LEADERSHIP IS LAGGING

Despite high adoption rates among employees, there is a gap in leadership
planning. According to the 2024 Work Trend Index Annual Report from Microsoft
and LinkedIn, 60% of organizations lack a clear strategy for AI implementation,
and 59% of leaders express concern over measuring AI’s productivity impact.
Companies need to focus on developing robust AI strategies to stay competitive
in a transforming market.

AI is Here, But Is Your Business Ready?
One of the striking findings in Microsoft's report is that 79% of leaders
believe AI is critical to staying competitive, yet 60% admit their organization
lacks a clear plan for implementation. This raises an important question: how
can businesses harness the potential of AI, such as Microsoft Copilot, if they
aren’t prepared to fully utilize it? To succeed, leadership must align AI
strategies with business objectives and provide the clarity and prioritization
needed for meaningful integration.

Microsoft Copilot is a game-changer in automating various tasks, freeing up much
time for users to focus on strategic initiatives. Its prime function is to
facilitate developers in coding, utilizing the power of Microsoft Azure Cloud
Infrastructure. According to Statista, GitHub Copilot is the second most used AI
tool for developers, with 22% of regular usage. Copilot significantly reduces
the time of task completion by 70% from standard, making it an efficient tool
for automating tasks and allowing users to concentrate on other important
industry operations. The article explores the ten best promising use cases of
Copilot, demonstrating how this AI tool can bring significant benefits across
various industries and departments while maintaining data privacy.


WHAT IS MICROSOFT COPILOT?

It is a generative AI software for the Microsoft 365 suite, just like ChatGPT
and all other GenAI tools; Copilot also utilizes LLM and web data to answer
human probes. Launched in February 2023 as Bing Chat, Copilot has been declared
as the chief replacement for Cortana. Microsoft Copilot can help users automate
their tasks mainly in Microsoft go-to apps like Word, Excel, PowerPoint,
Outlook, and Teams. Moreover, the AI feature Copilot aims to make users more
efficient and productive by automating their tasks.

Microsoft CEO Satya Nadella said that;

> “Microsoft Copilot is going to be a revolutionary step in the interaction with
> computing. It will change the entire nature of work. While using Copilot in
> work people can make technology more accessible, thus unlocks the new waves of
> growth and productivity”.


GROUNDING COPILOT IN BUSINESS DATA WITH CONNECTORS

Copilot offers businesses the ability to index and connect all data
systems—whether internal, such as custom apps and system-of-record databases, or
third-party applications like ERP, CRM, and HCM. This allows for real-time
querying and ensures businesses can control access with strict data permission
enforcement, driving productivity and secure data usage.


EXTENSIONS TO ENHANCE WORKFLOWS

With Copilot Extensions, organizations can integrate pre-built tools that link
Copilot to various third-party and internal apps. These extensions enable
businesses to contextualize workflows and automate tasks, reducing the need for
manual processes and improving efficiency across teams.


CUSTOMIZING WITH COPILOT STUDIO

Organizations looking for deeper customization can leverage Copilot Studio to
build specific extensions tailored to their processes. With over 1,400
out-of-the-box connectors, Copilot Studio empowers IT teams to create bespoke
solutions, secure them, and measure their success with analytics.


WHICH LLMS ARE USED IN MICROSOFT COPILOT?

Microsoft Copilot consists of a trio of Large Language Models (LLMs), which are
as follows;

 * GPT-4 Model: The GPT-4 model of OpenAI's ChatGPT is engraved in Copilot,
   which helps optimize the search and speed. Moreover, it also helps to
   generate creative text according to your imagination.
 * DALL-E-3: A text-to-image neural network of OpenAI helps visualize the
   AI-generated content in Copilot.
 * Microsoft Prometheus Model: It is a proprietary model of Microsoft. It works
   along with the Large Language Model of OpenAI. Prometheus model helps
   increase the relevance, time, and safety of AI-based responses.


VERSIONS OF MICROSOFT COPILOT

Microsoft offers three Copilot versions;

 * Copilot Free
 * Copilot Pro
 * Copilot 365

Here's their brief overview

 * Microsoft Copilot Free: The free version is available to all Microsoft Edge,
   Bing, and Windows users. Users belonging to small businesses who do not
   require high-end responses can utilize the Free Copilot version to automate
   simple daily tasks.
 * Copilot Pro: Unlike free version, Copilot offers access to GPT4 and GPT-4
   Turbo to all the premium users. It has a quicker response time than the free
   version. The Pro Copilot version also includes Bing Image Creator. The cost
   of this version is $20 per month.
 * Copilot 365: The Copilot 365 version supports all business and enterprise
   models. It is available as an office app add-on in Microsoft 365. While
   designed on organizational and internal source data, the 365 version is able
   to provide detailed answers. It costs $30 per month.


HOW TO ACCESS COPILOT FEATURE ACROSS DIFFERENT MICROSOFT APPS?

 * Window 11: For Window 11, users can access the Copilot feature/icon in the
   lower-left corner of the toolbar, where the Cortana button previously resided
   at the bottom of the screen. While clicking on the icon, users can access
   multiple features like voice commands, file navigation, and much more.
 * Microsoft 365 and Bing: For Bing, users can access the Copilot feature right
   below the search box, i.e., "Ask Copilot." For 365 Microsoft apps, it’s
   present in the toolbar as a Copilot button for all the 365 group apps.
 * Outlook: Outlook users who are looking for the Copilot feature can get access
   by navigating to the help section or the Add-ins menu.
 * Microsoft Teams: Users can access the Copilot icon in Teams through the main
   menu.


BENEFITS OF USING COPILOT FEATURE

The benefits of using Microsoft Copilot are as follows;

 * Increased Output: Copilot help users to automate their tasks. So it can
   improve the efficiency and productivity of the work.
 * Improved Decision Making: Copilot is not just about productivity, it's about
   empowering users to make informed decisions. By providing data analytics,
   market research, and project planning and financial analysis, Copilot can
   help users reduce their workload by suggesting the next step based on the
   context. This can lead to more confident and effective decision-making,
   enhancing the overall efficiency of the work.
 * Enhanced Creativity: Through Copilot, users can enhance their creativity.
   Copilot usage has helped 68% of users in initiating their creative process.
   It can help to brainstorm several ideas, generate new content and explore new
   possibilities, thus fostering innovation and creativity at a larger scale.
 * Improved Customer Experience: Copilot can learn and adapt to the users
   writing style and prefrences. By doing so, it can provide personalized
   suggestions, thus tailoring the content to large audiences and enhancing the
   overall customer experience.
 * Cost Saving: Through task automation and improved efficiency, Copilot use can
   help you reduce the cost and improve the ROI.


DATA PRIVACY IN MICROSOFT COPILOT

Microsoft ensures that data security and trust remain at the forefront of its AI
solutions. With strict controls, businesses maintain full ownership of their
data, which is not used to train foundation models. Microsoft also upholds
stringent data protection, committing to the safety of customer information at
every step.


HOW IS ORGANIZATIONAL DATA PROTECTED IN A COPILOT?

In Microsoft 365 tenants, there are certain permission models. These models help
ensure the right use of data by checking its unintentional leakage between
users, tenants, or groups. So, the Copilot presents only such data for
individuals to access with the same underlying controls for data access used in
other Microsoft 365 services. Additionally, the user's data is secured through
Microsoft Purview Protection. Through the Purview protection, Microsoft 365
prides the usage rights approved to the users.

Regarding encryption, then it is applied through sensitivity labels or by
limited permissions in Microsoft 365 apps by utilizing Information Right
Management (IRM). Furthermore, customer data control is strengthened by the
strict commitment of Microsoft with heavy privacy laws like GDPR and some
privacy standards such as ISO/IEC 27018 –known as the world's first cloud
privacy practice code. Additionally, Microsoft Copilot meets all privacy laws
and ensures that data is:

 * Not communal with third-party apps
 * Not shared with the OpenAI platform
 * Strictly not used for trade purposes
 * Even not used to train Azure OpenAI base models


DOES MICROSOFT COPILOT RESPECT DATA PRIVACY LAW?

Maintaining compliance with AI regulations is vital. Microsoft’s governance
tools help businesses detect non-compliant usage, enforce data protection laws,
and guide companies through evolving regulations. Ensuring privacy and
protecting data location control helps businesses stay compliant in an AI-first
world.

As Copilot is powered by Azure OpenAI service. It acts with the already present
security, privacy, and regulatory commitments with customers. So, Microsoft
integrates Copilot across its amenities like Dynamic 365 and Power Platform.
They inherit all the privacy and compliance policies and help to safeguard the
smooth data transfer, thus ensuring the safety of customer data.

Moreover, the data privacy practices of Microsoft Copilot comply with GDPR. It
stands for General Data Protection Regulation. GDPR is recognized as one of the
toughest data regulatory laws. The basic purpose of GDPR is to ensure the entire
control of users upon their data and to stop sharing information between third
party apps or websites. The law also ensures that the website or software must
inform the user of any data breach, allowing users to protect data from
potential threats.

So, by respecting data privacy laws, Copilot takes the customer's data privacy
seriously. In Compliance with GDPR, Copilot helps users by providing powerful AI
outputs without leaking the data, thus making it a valuable tool for workplaces.


HOW AND WHERE THE ORGANIZATIONAL DATA IS STORED/MANAGED IN THE COPILOT?

Microsoft emphasizes that customers' data is their own. It is not used to enrich
AI models, and the company remains committed to customer data protection. This
trust is the foundation on which all Copilot tools and extensions are built,
ensuring businesses can confidently adopt AI solutions.

In Microsoft Copilot, the organizational data is managed through various unified
platforms that integrate the conversational AI models of Microsoft. The
integration involves;

 * Azure AI Studio
 * Azure Bot Framework
 * Azure Cognitive Services
 * AI Power Platform and much more.

To monitor the right usage of the models, Copilot Studio offers governance
features to check which authority is building and customizing them. These
features also allow the creation of customized Copilots for various
organizations with the capability of generative AI and LLMs. Across the web,
Copilot for Microsoft 365 uses proprietary data by connecting LLMs to Microsoft
Graph. By doing so, the organizational data get linked with Microsoft 365 apps,
thus creating a new wave of working. It allows users to easily find new business
trends by analyzing data and creating insightful reports with simple natural
language guidelines.


DOES MICROSOFT COPILOT USE ORGANIZATIONAL DATA TO ANSWER USER QUERIES?

Along with web data, Microsoft Copilot also uses organizational data to answer
human problems. Microsoft 365 can access the content and context through
Microsoft Graph by connecting Large Language Models to organizational data. It
helps generate responses attached to the organizational data like, user's
emails, documents, meetings, chats, and contacts. By combining content with
users' working context, the Copilot helps generate relevant contextual
responses.

Remember, to keep privacy in mind, Copilot always surfaces such organizational
data to which users grant permission. So always use permission models such as
SharePoint, which is available in Microsoft 365. It will help only the right
users access relevant content within the organization. Also, Copilot only
utilizes Azure OpenAI services, not publically accessible OpenAI services, which
means that Azure OpenAI does not share the cache content and user prompts for
Copilot.


IS THERE A RISK OF DATA LEAKAGE TO OTHER PRIVATE CLOUDS WITH COPILOT USE?

The Copilot follows strict security policies and permission models to prevent
users' sensitive data from leaking. However, at the same time, Copilot can be
connected to various data sources, including third-party services. If not
properly motioned and governed, then the use of a Copilot can result in data
breaches.

So, to overcome this risk, it's mandatory to use Sensitivity Labels and Data
Loss Prevention (DLP) policies to monitor the sensitive data in Microsoft 365.
Additionally, the managers can use these policies in the Power Platform admin
center to monitor the Copilot to protect organizational data.


DO THIRD-PARTY APPS HAVE ACCESS TO COPILOT PRIVATE DATA?

Microsoft Copilot does not share private data with third-party apps unless the
user grants permission. So, it takes users' information very seriously and keeps
it private. Customers can use Copilot across third-party applications like Zoom
and Slack with the same privacy and security. While using Copilot AI in
different applications, users should go to the settings option and ensure that
the permissions are granted to Copilot. After that, you can select to which
information it should have access. The choice is upon users whether they want to
grant access to parts of your info such as photos, contact lists, or files.

So, keeping the privacy features in mind, Microsoft Copilot strictly adheres to
the regulatory guidelines for data sharing, thus making it a secure place for
businesses and individuals.


HOW TO BLOCK SENSITIVE OR HARMFUL INFO IN MICROSOFT COPILOT?

When blocking harmful content, Microsoft’s Azure OpenAI Service has a content
filtering system. This system works along with the core models. The filtering
model is trained in multiple languages for various categories;

 * Hate and Fairness: It includes harmful content related to any discriminatory
   language based on race, ethnicity, gender, religion, body size, and personal
   appearance of a person. Fairness refers to ensuring that the AI models or
   systems treat people equally without any inequality.
 * Violence: It refers to language that contains actions that hurt or kill
   someone, like weapons and related objects.
 * Sexual Content: It involves the discussion about abuse, human reproductive
   organs, prostitution, pornography, and content about forced physical sexual
   acts.
 * Self-Harm: It involves the content or the use of self-harm language that aims
   to kill or injure someone.
   So, the filtering system runs both prompt and response through classification
   models. These models are designed to identify the harmful content in the
   output and then block it.


CAN MICROSOFT COPILOT DEPLOYED ON PREMISES?

Unfortunately, it's not possible to deploy Copilot on Premises. Copilot is a
cloud-based generative AI assistant. It works on Large Language Models (LLMs)
offers advanced solutions only across Microsoft Cloud. So we cannot install
Copilot on-premises.


LISTING 10 BEST MICROSOFT COPILOT USE CASES OF 2024

Here are the ten best use cases of the Copilot feature across different
platforms;


1. COPILOT IN SOFTWARE DEVELOPMENT

Coding has always been a tough net to crack for developers. A single mistake can
be a reason for a lot of frustration and, of course, time-consuming. Here
Copilot can serve the best in the coding procedure. It can wonderfully support
software utilized in their coding activities. Users can utilize Microsoft
Copilot to generate a complete line of code and debugging. It can even help with
writing entire functions. Due to this AI assistant, developers can easily do
quick daily coding tasks along with searching for bugs with it and can focus on
solving complex problem-solving innovations.

Additionally, the Copilot can also help in generating documentation for the
codes. The documentation includes an explanation, API references, and comments.
While documentation, the Copilot also ensures its adherence to the consistent
style and format, thus making it easier to maintain and understand.
An example of a software development use case would be GitHub Copilot. It can be
an efficient tool for all developers and programmers to streamline their coding
tasks.


2. COPILOT IN CONTENT CREATION AND DOCUMENTATION

When it comes to content creation, then, from marketing to journalism, writer's
block must exist. People face a lot of difficulties in finding the right words
for a topic that requires an extensive amount of research. So, Copilot
applications greatly help in overcoming these situations. Applications like
Copy-ai and Jarvis powered by Copilot can help people draft their articles,
marketing copy headlines, and much more. Due to this, the content creation
process can be easy and time saving.

Furthermore, Microsoft Copilot can also support generating preliminary drafts of
configured documents like marketing content and some standard operating
procedures (SOPs). It can help in creating a starting point for additional
customization if needed. So, the main advantage of a Copilot is to speed up the
content creation process along with maintaining high quality. By doing so,
writers can focus on research and the final strategy for execution.


3. COPILOT IN FINANCE

Copilot can help financial analysts and firms in many ways. By incorporating
Copilot applications, experts can do detailed analyses of complex data and
predictive modeling as well. In areas like banking, insurance and investments
where up-to-date decision-making is central, Copilot can better support there.
So, professionals and data analysts can be at ease in identifying trends and
thus make informed decisions through automated data analysis.

Moreover, in finance, Copilot 365 can do wonders by the following;

 * Managing Risks: Copilot 3analyzinglp in predicting possible issues while
   analyzing large datasets.
 * Automated Reporting and Compliance: Copilot 365 helps in automating financial
   reporting. It ensures the accuracy and agreement with several governing
   necessities.
 * Detecting Fraud: The in-built AI Algorithms in Copilot 365 can help in
   detecting frauds and possible unusual patters to ensure the security and
   privacy of financial transactions.
 * Use Case of GithHub Copilot in ANZ Bank:
   Generative AI has evolved the banking sector as well. With the significant
   use of GithHub Copilot in ANZ bank, the engineers significantly enhance their
   businesses' code quality and productivity. The ANZ bank experimented by
   incorporating Copilot into their software development process. The results
   were amazing, resulting in an increase in productivity up to 42.36%. Not just
   productivity, the Copilot also helps the engine improve code quality and
   reduce. The engineers, thus, reported a positive gesture towards using
   Copilot by appreciating its ability to assist with documentation and
   debugging.


4. COPILOT ASSISTANCE IN LEGAL DOCUMENTATION

For all those people who want assistance in legal documentation, Copilot can do
this for them. All the legal professionals who are working in either corporate
or contract law can leverage Copilot applications to automate certain tasks,
such as drafting legal documents.

Legal documentation is a very time-intensive duty. But AI can speed up the
process thus lowering the chance of human error. Tools like LawGeex and Contract
Companion are being used in law firms and legal departments which enhances the
efficiency of workflow. Copilot can also help in simplifying the process of
documentation in quick time.


5. COPILOT USE IN EDUCATION FOR PERSONALISED LEARNING

Through Cpersonalizeucators and e-learning platforms can personalize the content
that is tailored to students' needs and preferences. It enables faster content
creation and personalized the style of the learner in a more personalized
manner. Right now, content is accessible to a large audience, but not everyone
has the same pace or level of learning. Through Copilot’s adaptive AI, a more
tailored learning approach can be created for distance learning so that students
can get content easily through accessible means. Moreover, with Microsoft
Copilot 365, educators can also automate several administrative tasks such as
tracking attendance, generating reports, and grading reports. By doing so,
educators can save a lot of time for other activities they need to focus on.


6. COPILOT IN HEALTHCARE ANALYSIS AND TREATMENT

In the healthcare sector, we know that medical professionals have to do a lot of
research for the diagnosis of certain conditions. They do come up with a
potential solution, but it takes a lot of time and effort.

With a Copilot, one can get personalized treatment plans for patients with
diagnosing conditions so that a Copilot combined with a database of medical can
quickly access the relevant information and can give effective treatment
strategies. By doing so, patient care can be increased, which leads to more
positive outcomes. Additionally, the AI algorithm of Copilot can help in
scheduling patients' appointments and patient reminders and improving healthcare
providers' schedules as well.


7. COPILOT IN LOGISTICS IMPROVEMENT AND SUPPLY CHAIN

When it comes to improving logistics and managing the supply chain, then, it
takes a lot of work to manage inventories and plan optimal routes. It requires a
considerable amount of time and workforce as well. Thanks to AI and its
capabilities. With Microsoft Copilot, workers can help by planning routes to
predict logistic demands. The AI support across the platform ensures effective
operations, lower costs, and an increased rate of positive market change. So,
Copilot is best for all those professionals who want to remain competitive in
logistics and distribution.


8. COPILOT USE IN CUSTOMER SUPPORT SERVICE

In terms of customer support services, then from retail to tech support,
Microsoft Copilot can help businesses maintain a high level of service through
AI-based support. With Copilot AI, the representatives of customer support can
deliver the best responses by analyzing consumer's queries, thus improving the
customer experience and satisfaction. Apart from that, with AI, now you don't
need to dive deeply into the feedback. Rather, Copilot AI can skim all the
relevant important info and give a detailed summary. By doing so, the Copilot
can help maintain customer relationships and thus aid in Customer Relationship
Management (CRM).


9. COPILOT IN OPTIMIZING DIGITAL MARKETING CAMPAIGN

Another use case of Microsoft Copilot is in optimizing Advertising campaigns and
deliberate scheduling. Copilot works in this domain by analyzing data from prior
marketing campaigns. The analysis suggests certain improvements in the current
campaign, targeting the demographics, thus leading towards high engagement rates
and increased ROI. So, by using Copilot AI in logistics and supply chain,
marketers can set a transformative approach to polish exertions for higher
impact.


10. COPILOT USE CASE IN ARCHITECTURE AND DESIGN

In designing and project conception, Microsoft Copilot can greatly assist.
Copilot applications greatly help architects and designers by providing
personalized suggestions. The applications also help in the automation of design
elements. So, Copilot in the architecture field enables professionals to find
creative and refined solutions for presentations and client project development.

Microsoft Copilot usage can really shape industries through its targeted and
personalized solutions, which in turn increases the professional capabilities of
the workers all across the platforms.


HOW COPILOT ENFORCES RESPONSIBLE AI?

Microsoft has been on this venture for a long time regarding ethical boundaries
and principles to ensure the responsible use of AI. Microsoft has designed
responsible AI standards to put user security first. To check such standards, a
team of professionals, engineers, researchers, and policy experts are there to
review the AI Principles and mitigate the harmful content.

Furthermore, various Microsoft technologies like Fairlearn and InterpretML are
used to help detect any bias in the data. So, Microsoft aims to help users use
the AI products responsibly to build a trust based partnership and deployment
choices. For safer use, Microsoft helps organizations and independent software
vendors (SVs) build transparency by sharing templates and resources with the
developers.


FINAL THOUGHTS

In conclusion, Microsoft Copilot for 365 offers a comprehensive platform to
revolutionize how businesses operate by streamlining workflows, enhancing
productivity, and ensuring security. Through connectors, extensions, and a focus
on trust, Microsoft enables organizations to integrate AI effectively into their
core processes.

To successfully implement AI, leadership must take a proactive role. Building an
AI Council, aligning AI projects with business goals, and developing user
enablement programs are crucial. Additionally, companies must ensure technical
readiness and manage human change with training and skill development, laying a
strong foundation for AI adoption.

While AI brings exciting prospects for productivity, businesses need to manage
human transformation carefully. Adopting AI is as much about people as it is
about technology. According to the Copilot guidelines, successful AI adoption
hinges on robust user enablement programs, executive sponsorship, and
comprehensive training. Without skilling employees and fostering a culture open
to AI-driven change, businesses risk creating resistance or misuse of these
powerful tools.

So, above, we have seen that Microsoft Copilot offers various functionalities
that can benefit various enterprises across multiple industries. By automating
tasks, driving innovations in many fields, and improving efficiency, Copilot can
help businesses to remain competitive and one step ahead to achieve their goals;
moreover, with the continuous evolvement in the AI of Copilot, we can expect
more innovative use cases in the coming years to stay ahead the curve.



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