‫غالف خطة بحث‬
‫جامعة طرابلس‬
‫إدارة الدراسـات العليـا والتـدريب‬
‫رقم النموذج‬
‫الكلية‪ :‬الهندسة‬
‫القسم‪ :‬اإلدارة الهندسية‬
‫مقترح بحث الستكمال متطلبات اإلجازة العالية‬
‫بعنـــــــــــــــــوان‬
‫إدارة الشركات باستخدام الذكاء االصطناعي‬
‫‪CHAT GPT‬‬
‫‪Managing companies using artificial intelligence‬‬
‫‪CHAT GPT‬‬
‫أعداد ‪ :‬المهندسة فلاير عبدهللا بن فضل‬
‫إشراف ‪ :‬الدكتور عبد السالم‬
‫الفصل الدراسي \ ربيع ‪2023‬‬
Abstract
Over the last decade, Artificial intelligence (AI) has become
embedded in every aspect of our society and lives. From chatbots
and virtual assistants like Siri and Alexa to automated industrial
machinery and self-driving cars, it’s hard to ignore its impact.
Today, the technology most commonly used to achieve AI is
machine learning – advanced software algorithms designed to
carry out one specific task, such as answering questions,
translating languages or navigating a journey – and become
increasingly good at it as they are exposed to more and more data.
Worldwide, spending by governments and businesses on AI
technology will top $500 billion in 2023, according to IDC research.
But how will it be used, and what impact will it have?
As artificial intelligence (AI) has become a growing force in
business, today’s top AI companies are leaders in this emerging
technology. Often leveraging cloud computing and edge computing,
AI companies mix and match various technologies to meet and
exceed use case expectations in the home, the workplace, and the
greater community.
Machine learning (ML) leads the pack in this realm, but today’s
leading AI firms are expanding their capabilities through other
technologies, from predictive analytics to business intelligence (BI)
to data warehouse tools to the deep learning (DL) segment of AI,
alleviating several industry pain points. To help organizations keep
up with the AI market
‫الملخص‬
‫على مدى العقد الماضي ‪ ،‬أصبح الذكاء االصطناعي (‪ )AI‬جز ًءا ال يتجزأ من كل جانب من جوانب مجتمعنا‬
‫وحياتنا‪ .‬من روبوتات الدردشة والمساعدات االفتراضية مثل ‪ Siri‬و ‪ Alexa‬إلى اآلالت الصناعية اآللية‬
‫والسيارات ذاتية القيادة ‪ ،‬من الصعب تجاهل تأثيرها‪ .‬اليوم ‪ ،‬التكنولوجيا األكثر استخدا ًما لتحقيق الذكاء‬
‫االصطناعي هي التعلم اآللي ‪ -‬خوارزميات برمجية متقدمة مصممة لتنفيذ مهمة واحدة محددة ‪ ،‬مثل اإلجابة‬
‫على األسئلة أو ترجمة اللغات أو التنقل في رحلة ‪ -‬وتصبح جيدة بشكل متزايد في ذلك ألنها تتعرض لمزيد‬
‫من المعلومات مزيد من البيانات‪.‬‬
‫في جميع أنحاء العالم ‪ ،‬سيتجاوز إنفاق الحكومات والشركات على تكنولوجيا الذكاء االصطناعي ‪ 500‬مليار‬
‫دوالر في عام ‪ ، 2023‬وفقًا ألبحاث ‪ .IDC‬ولكن كيف سيتم استخدامه ‪ ،‬وما هو تأثيره؟‬
‫نظرًا ألن الذكاء االصطناعي (‪ )AI‬أصبح قوة متنامية في األعمال التجارية ‪ ،‬أصبحت شركات الذكاء‬
‫االصطناعي اليوم رائدة في هذه التكنولوجيا الناشئة‪ .‬غالبًا ما تستفيد شركات الذكاء االصطناعي من الحوسبة‬
‫السحابية والحوسبة المتطورة ‪ ،‬وتجمع بين التقنيات المختلفة وتطابقها لتلبية توقعات حالة االستخدام وتجاوزها‬
‫في المنزل ومكان العمل والمجتمع األكبر‪.‬‬
‫يقود التعلم اآللي (‪ )ML‬الحزمة في هذا المجال ‪ ،‬لكن شركات الذكاء االصطناعي الرائدة اليوم تعمل على‬
‫توسيع قدراتها من خالل تقنيات أخرى ‪ ،‬من التحليالت التنبؤية إلى ذكاء األعمال (‪ )BI‬إلى أدوات تخزين‬
‫البيانات إلى قطاع التعلم العميق (‪ )DL‬من الذكاء االصطناعي ‪ ،‬مما يخفف العديد من نقاط األلم في‬
‫الصناعة‪ .‬لمساعدة المؤسسات على مواكبة سوق الذكاء االصطناعي ‪.‬‬
Introduction
Artificial Intelligence transforms business in the modern era to use
data to gain intelligence, such as identifying market opportunities,
adapting to changing workforces, and optimizing processes. Every
business will begin using Artificial intelligence in 2023 to ease
employee work and increase efficiency for effective-efficient work
time management.
AI systems are typically used to predict future outcomes by
analyzing large amounts of labeled training data to identify patterns
and correlations. Today, machine learning is the primary method for
developing AI systems. Artificial intelligence is generally regarded
as a supplement to, rather than a replacement for, human
intelligence and ingenuity. The AI trend in 2023 has been the
acceleration of AI applications in business to improve and automate
processes and workspaces. In recent years, there have been several
different advancements in business technology. Nonetheless, none
of the previous innovations have been as progressive or disruptive
as artificial intelligence.
Background
Artificial Intelligence (AI) has been a hot topic of interest over the
last few years, with it hitting the headlines this year thanks to the
release of ChatGPT.
AI is weaving into almost every field and discipline imaginable.
Despite some skeptics and concerns about safety, AI is moving
forward at great speed and is tipped to make major breakthroughs.
We think it’s fair to say we are only at the tip of the iceberg, and we
should expect mind-blowing things to come from this futuristic
sector.
Not only is AI helping people become more efficient; it's also
revolutionizing the way we do business. In fact, 86% of CEOs note
that AI is a mainstay in their offices, and it's not in the form of
robots and complex machinery, but instead software to run their
day-to-day operations. From predicting customer behavior to
reducing manual data entry, AI in business is becoming
indispensable in ways never seen.
Aim of the thesis
Businesses are turning to AI to a greater degree to improve and
perfect their operations. According to the Forbes Advisor survey,
businesses are using AI across a wide range of areas. The most
popular applications include customer service, with 56% of
respondents using AI for this purpose, and cybersecurity and fraud
management, adopted by 51% of businesses.
Other notable uses of AI are customer relationship management
(46%), digital personal assistants (47%), inventory management
(40%) and content production (35%). Businesses also leverage AI
for product recommendations (33%), accounting (30%), supply
chain operations (30%), recruitment and talent sourcing (26%) and
audience segmentation (24%).
Research problem
Artificial Intelligence combined with the internet of things can be
used in various use cases in the business world. Examples span from
healthcare to e-commerce, from fraud detection to building
resilient supply chains. Here are some real-world examples of how
AI solutions can perform business functions:
Sales
Let Artificial Intelligence transform your business with sales process
automation. Manually updating customer relationship management
systems (CRM) can now be a thing of the past thanks to AI. Now
customer and business data analysis, communications, purchase
history, and insights can all be automated. Now you can streamline
repetitive tasks so you can focus on creating strategies for lead
generation and business growth.
Digital Marketing
Integrating AI allows you to improve marketing campaigns at the
right audience. Predictive analytics can help you measure the
performance from past campaigns for better segmentation and
targeting.
AI is also effective for content marketing whether in the form of
social media posts, articles, videos, webinars and more. Machine
learning Algorithms perform data analysis to determine the best
strategy to implement and how to structure your content to hit the
right topics, keywords and frequency to capture awareness.
Customer engagement
Chatbots provide excellent customer servicing by mimicking human
communication using a bot over apps, e-commerce websites and
more. It uses natural language processing, machine learning and
deep learning to understand text the same way a human can to
deliver instant and personalized conversations. Chatbots are
particularly helpful if you have customers across different time
zones who you don’t want to keep them waiting for replies.
Nowadays e-commerce chatbots have become so sophisticated they
can even make product recommendations from past activity taking
customer experience and sales to a whole new level.
Manufacturing and supply chain
When AI is combined with machine learning in the manufacturing
process including supply chain and logistics, this can streamline the
whole process and avoid delays. . Descriptive analytics can analyse
past events to improve efficiency while predictive analytics can
anticipate outcomes or risks based on certain actions to help
decision-making. Computers can run 24/7 to process a large amount
of data and provide real-time results that will help with demand
forecasting, supplier management, capital management, logistics,
risk planning and more. Data science is important here as good
analytics depend on quality data to improve transparency and avoid
disruptions.
Data analysis
One of the most popular uses of AI is data analysis. AI applications
with the help of machine learning and deep learning can analyse a
vast amount of data any time of the day to produce real-time
results. AI systems can use big data for predictive analytics and
ultimately this automation will allow you to improve data driven
decisions and focus on the bigger picture.
Also falling into this category is the use of big data in healthcare.
Predictive analytics is applied to data sets to support providers with
decision making and implementing treatment plans.
Fraud detection and cybersecurity
Fraud detection is particularly important for e-commerce
businesses with its element of payment transactions. AI solutions
can outperform traditional software and systems with an algorithm
that analyzes transaction data to spot any anomalies. If this is
picked up, the transaction is immediately flagged. By investing in AI
for fraud detection, you will improve security resulting in better
customer experience and lower operational costs.
Today’s cyberattacks are sophisticated and quickly evolving. AI and
machine learning can provide automation in threat detection and
response. In addition, AI systems and natural language processing
can predict and recognise malware or ransomware threats before
they reach your system.
Research Methodology
Artificial Intelligence (AI) is playing an increasing role in the
research process. AI-based algorithms are being used to improve the
efficiency of research and to provide new perspectives on explored
topics. They are valuable not only in drawing connections between
different pieces of information but also in proposing and testing
new hypotheses.
The search method will be by CHAT GPT.Chat GPT is an artificial
intelligence-based language processing tool that can be used to
interact with customers in a conversational way. It is an advanced
chatbot that uses natural language processing to understand
customer queries and provide relevant responses. This technology
can help small businesses to provide better customer service,
enhance their marketing efforts, and increase sales.
Using Chat GPT for your small business is relatively straightforward.
You can use it to create a chatbot that can interact with customers
on your website or social media platforms. This chatbot can provide
product information, answer frequently asked questions, and even
process orders.
Chat GPT can also be used to enhance your marketing efforts. By
analyzing customer data, it can help you identify patterns and
trends, enabling you to target specific audiences with personalized
marketing messages. This can lead to increased engagement and
conversions.
Another benefit of using Chat GPT is that it can help reduce your
customer service costs. By automating routine queries, your staff
can focus on more complex issues, improving the overall customer
experience.
However, it is important to note that implementing Chat GPT
requires careful planning and execution. You need to ensure that the
chatbot is user-friendly, and its responses are accurate and relevant.
Additionally, you must ensure that it is updated regularly to reflect
changes in your products or services.
Expected Research Results
Chat GPT is a powerful tool that businesses can use to improve
customer service, enhance their marketing efforts, and increase
sales.
The master's thesis will solve the problems of large and small
companies by introducing artificial intelligence technology to
increase the company's profits and increase the skills and
techniques of employees to clearly improve their performance.
A model will be created for a management structure for a startup
company, and CHAT GPT will be used to create the structure, job
directory, and tasks for each department and employee, and create
marketing models and ideas using artificial intelligence for the
success of the company.
In conclusion, the results of the master's thesis will depend on the
development and creation of successful companies using artificial
intelligence
Research schedule plan
References
https://www.folio3.ai/blog/how-to-use-chat-gpt-for-your-busine
https://www.businessgo.hsbc.com/en/article/how-artificial-intellig
ence-can-help-your-business
https://www.linkedin.com/pulse/5-biggest-artificial-intelligenceai-trends-2023-bernard-marr/
https://www.forbes.com/advisor/business/software/ai-in-business
/
https://www.datamation.com/featured/ai-companies/
https://oxfordabstracts.com/blog/top-ai-conferences-to-attend-i
n-2023/
https://www.analyticsinsight.net/how-artificial-intelligence-will-t
ransform-business-in-2023/
https://levity.ai/blog/8-uses-ai-business