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1. Digital Transformation Group 1 TOPIC : What is artificial intelligence (AI)? Its applications? And analyzing the role of AI in business of a firm?

2. OVERVIEW DISCUSSION Table of contents 01 04 02 03 APPLICATIONS AI IN BUSSINESS OF A FIRM

3. OVERVIEW OF AI I.

4. 1. DEFINITION OF AI Artificial intelligence (AI) is the theory and development of computer systems capable of performing tasks that historically required human intelligence: recognizing speech, making decisions, and identifying patterns. Encompasses a range of technologies, including machine learning, deep learning, and natural language processing (NLP) .           C reated new opportunities to progress on critical issues such as health, education, and the environment. In some cases, AI may do things more efficiently or methodically than humans .

5. 2. TYPES OF AI   - There are four main types of AI as defined by Arend Hintze : a. Reactive machines: the most basic type of artificial intelligence. Machines built in this way don’t possess any knowledge of previous events but instead only “react” to what is before them in a given moment . b. Limited memory machines: Machines with limited memory possess a limited understanding of past events. They can interact more with the world around them than reactive machines can . c. Theory of mind machines: Machines that possess a “theory of mind” represent an early form of artificial general intelligence, have an understanding of other entities that exist within the world . d. Self-aware machines:   Machines with self-awareness are the theoretically most advanced type of AI and would possess an understanding of the world, others, and itself.

6. 3. History and the development process of AI 7 8 1990 KISMET 1997 Deep Blue 1999 AIBO 2002 iRobot's Roomba 1950 “Computer Machinery and Intelligence” 1955 John McCarthy 1961 Unimate 1965 ELIZA, a mock psychotherapist 1969 Shakey the Robot AI winter

7. 3. History and the development process of AI 2019 Google’s AlphaStar 2020   OpenAI started beta testing GPT-3 2022 ChatGPT 2011 Siri WATSON 2014 EUGENE ALEXA 2015 Hanson Robotic 2016 Microsoft’s chatbot TAY 2017 ALPHAGO

8. 4. Advantages and disadvantages of AI a. Advantage : Can be considered as a replacement for human Can multi-tasking Work with precision and lesser errors Can work tirelessly Can do repetitive tasks for a long time without getting bored Can work in environments that are dangerous to humans (deep sea, underground mines, outer space, etc .) b. Disadvantages: Expensive producing cost and maintenance cost Unemployment rate increase Less humans’ interference => Makes humans lazy (Currently ) Can only perform tasks that are programmed before

9. APPLICATIONS II.  

10. AI has a significant impact on various aspects of social life: a. Healthcare : Diagnosis and Treatment: machine learning algorithms, assist in diagnosing diseases and conditions by analyzing medical images, patient data, and clinical records, recommend treatment plans Drug Discovery: identifying potential drug candidates and predicting their effectiveness. Remote Monitoring: continuous monitoring of patients' health, healthcare providers detect health issues in real time b. Education : Personalized Learning:  personalized learning paths for students Automated Grading : grade assignments and tests, reducing the administrative burden on teachers Language Learning : individuals acquire new languages more efficiently. Distance education : improve the distance education experience. Career counseling :  career counseling to students. Cheating detection : detect cheating in tests and assignments. 1. AI in social life

11. c. Entertainment: Content Recommendations: suggest content, products, and services based on user preferences and behavior. Content Generation: AI can generate content, including music, art, and even news articles. Video Games: non-player characters (NPCs) and enemy behavior in video games . d. Social Media and Communication: Content Moderation: detect and filter out harmful or inappropriate content on social media platforms. Language Translation: AI-powered translation services facilitate cross-language communication. Voice Assistants: Virtual voice assistants like Siri and Alexa  become integral to daily life for many people. Image and video analysis: analyze images and videos in media and entertainment applications.

12. e . Transportation Autonomous Vehicles: self-driving cars  reduce accidents and improve transportation efficiency. Smart traffic monitoring and management system : detecting, recording and warning of events, incidents and violations of order . Traffic flow analysis : collecting and processing data about vehicle traffic on roads to help manage traffic more effectively. Smart traffic camera: the ability to accurately identify vehicle characteristics, vehicle license plates, vehicle movement direction and count vehicle traffic on the road  detect and record traffic safety violations . Smart parking : allows collecting and processing data on the number of vehicles entering and exiting. f . Environmental Impact Climate Change Modeling: modeling and predicting the effects of global warming. Energy Efficiency: optimize energy consumption in buildings and industrial processes, reducing environmental impact.

13. g . Science Data analysis: analyze and process large amounts of scientific data to create new insights, analyzes and improve the accuracy of predictive models. Forecasting and prediction: machine learning models to forecast future outcomes Modeling: research objects ranging from supergiant stars to Earth's climate. Search and classify: information and classify research results. Decision support:  smart decisions about designing experiments, analyzing results, and drawing conclusions. h . Security and confidentiality Early detection of attacks: automate complex processes to detect attacks and respond to unauthorized breaches. Search for security vulnerabilities: security experts find information about security vulnerabilities and how to fix them. Data analytics: analyze and process large amounts of data to create new insights, improve the accuracy of predictive models. Decision support: help security professionals make smart decisions about designing experiments, analyzing results, and drawing conclusions.

14. i . Law Enforcement Predictive Policing: predict crime hotspots and allocate law enforcement resources more efficiently. Facial Recognition: employed for identifying suspects and enhancing security. j. Agriculture Precision Agriculture:  optimizing crop management, soil health, and resource utilization. Crop Monitoring: monitor crop health and detect pests or diseases . k. Accessibility AI enhances accessibility for people with disabilities by providing features like speech recognition, screen readers, and sign language interpretation.

15. 2. AI in business User experience Many businesses and brands will use AI to understand user experience, while analyzing data, collecting trends and browsing history . Limit fraudulent sales practices Deal with cybersecurity in many ways: detecting vulnerabilities, detecting fraud, analyzing behavior, preventive controls ... Help businesses protect data and fight complex scams and fraud by leveraging automation, ML (Machine learning), natural language processing, voice and video recognition.

16. Social Media Advertising content will be personalized in real time with the purpose of creating sales opportunities because AI can analyze consumer behavior and needs. The use of artificial intelligence in advertising is by suggesting ads to appropriate customers (Facebook, Google,...). At present, through applications such as Automated Insights' Wordsmith, mass media channels and many companies can ask AI to write content with words and writing styles just like humans.

17. Predict customer behavior Businesses will use AI to detect whether a customer is ready to buy a product, seek support, or switch to another supplier even before they actually reach the customer, helping with sales. shopping easier and increasing the rate of successful transactions . Using this data, artificial intelligence can clearly identify consumer preferences and behaviors, thereby helping businesses establish pricing mechanisms, marketing plans, product placement on shelves and whole sales strategy .

18. 24/7 customer support – Chatbots Chatbot is a software that imitates human conversation or with users via websites, mobile applications, phones, etc. It is an AI-powered digital assistant for communication with everyone . provide 24/7 customer support, businesses can also incorporate this data into their CRM to collect and retain valuable customer insights. client. This data can then be used to help optimize sales.

19. Digital personal assistants C reate a more customized experience for your customers.  T ransform the way your company operates from the inside . H elp manage your emails, maintain your calendar,  provide recommendations for streamlining processes . P rogram these AI assistants to answer questions for customers who call or chat online . Increase online shopping sales T ell your AI assistant to buy something delivered to your home . As virtual assistants become increasingly intelligent, they will apply machine learning to exploit more product data and provide better results, closer to customer expectations .

20. Find better candidates Useful in the field of recruitment People are trying to make it more efficient for everyone, from small business owners to departments of human resources at large companies, to find suitable employees because searching and screening candidates can take a lot of time. Helps with financial transaction decisions   Many different AI approaches are being deployed in the financial sector, which are expected to bring a series of benefits: support for quick and objective investment decisions, loan decisions, evaluation risk, portfolio management through " robo -advisors", fraud detection and algorithmic trading...  change consumer habits as well as the way businesses do business. enterprise.

21. Automation in production Businesses can rely on manufacturing and logistics to improve supply chain management, effectively manage inventory, and streamline operations . Track supply and demand in the areas served by a certain business . AI can also set prices for products . Legal Natural language processing systems can translate legal documents into more client-friendly language that will help lawyers classify information accurately in preparation for trials.

22. AI IN BUSSINESS OF A FIRM III.

23. EXAMPLE 1. THE ROLES AND EFFECTS OF AI With AI, we are able to process and analyze vast amounts of data quickly, making it easier to find and access the information we need.  AI-powered personal assistants, such as Siri and Google Assistant, have become a staple of many people's daily lives.  AI-powered technologies are also being used to improve the user experience and to offer more personalized recommendations and services. Businesses are increasingly deploying AI systems to learn about their customers, understand market trends, predict future needs and scenarios . etc.  Businesses that work with AI aren’t just trying a ‘new trend.’ They’re trying to keep up with the fast-paced world that surrounds them. ROLES

24. 1. THE ROLES AND EFFECTS OF AI b. Effects As AI continues to evolve and gain importance in our world, it is important that we continue to invest in its development and advancement.  The positive impacts of AI: save time and money, avoid mistakes and 'human error', increase productivity and operational efficiencies, easily mine vast amounts of data .etc . T he negative impacts of AI: increase unemployment rate, lack of flexibility, risk of data leaks, attacks and theft.etc .

25. Optimize supply chain management Increased Efficiency and Productivity The ability to gain insights from data Personalized Experiences Advancements in Healthcare 2. OPPORTUNITIES

26. 3. CHALLENGES Ethical and moral implications of AI technology The potential for job displacement Data Privacy and Security Lack of Transparency Cost Implementation and Operation

27. Thanks for listening! Do you have any questions?