Improving Decision Making and Managing Artificial Intelligence PDF

IMPROVING DECISION MAKING AND MANAGING ARTIFICIAL INTELLIGENCE Presented by: Yousif Abdelghany 23100223  IMPROVING DECISION MAKING AND MANAGING ARTIFICIAL INTELLIGENCE Embrace the future of decision-making, where human ingenuity and artificial intelligence converge...

IMPROVING DECISION MAKING AND MANAGING ARTIFICIAL INTELLIGENCE Presented by: Yousif Abdelghany 23100223  IMPROVING DECISION MAKING AND MANAGING ARTIFICIAL INTELLIGENCE Embrace the future of decision-making, where human ingenuity and artificial intelligence converge to unlock unprecedented potential. Presented by: Yousif Abdelghany 23100223  IMPROVING DECISION MAKING AND MANAGING ARTIFICIAL INTELLIGENCE Topic Outlines: 1-What are the different types of decisions, and how does the decision- 2-How do BI and business making process work ? analytics support decision making? 3-What is artificial intelligence (AI)? How 4-What are the major does it differ from human types of AI techniques intelligence? and how do they benefit organizations? 5-What are the principal technologies and standards for wireless 6-How do the Internet networking, and Internet technology communication, and work, and how do they Internet access? support communication and e-business?  Types of Decisions: Programmed Decisions: Routine, repetitive decisions made based on established rules or procedures. Examples: Approving standard purchase orders, restocking inventory, handling 1-What are the customer complaints. different types Non-Programmed Decisions: of decisions, Unique, non-routine decisions that require careful analysis and creative thinking. Examples: Launching a new product, acquiring a company, responding to a crisis. and how does the decision- Strategic Decisions: Long-term decisions that shape an organization's overall direction and goals. making process Involve high levels of uncertainty and risk. Examples: Entering new markets, mergers and acquisitions, major product work ? launches. Operational Decisions: Short-term decisions that focus on the day-to-day operations of an organization. Often routine and based on established procedures. Examples: Scheduling shifts, inventory management, approving purchase orders.  Decision-Making Process: While the specific steps may vary, a common decision-making process involves the following stages: Problem Identification: Recognizing a gap between the current state and 1-What are the the desired state. different types Information Gathering: Collecting relevant data and information to understand the problem. of decisions, Generating Alternatives: Brainstorming multiple potential solutions or and how does courses of action. the decision- Evaluating Alternatives: Assessing the pros and cons of each alternative, making process considering factors like feasibility, cost, and potential impact. work ? Selecting the Best Alternative: Choosing the most promising option based on the evaluation. Implementing the Decision: Putting the chosen alternative into action. Evaluating the Decision: Assessing the outcomes of the decision and making adjustments if necessary. Business Intelligence (BI) and Business Analytics (BA) are powerful tools that can significantly enhance decision-making processes. They provide valuable insights by analyzing large amounts of data and transforming it into actionable information. 2-How do BI and 1- Data-Driven Insights: Business BI collects, stores, and processes data from various sources, creating a centralized repository. Analytics BA uses statistical techniques and data mining to analyze this data, support decision uncovering patterns, trends, and correlations. making? 2- Improved Decision Quality: BI and BA tools provide objective information, reducing biases and errors in decision-making. Business Intelligence (BI) and Business Analytics (BA) are powerful tools that can significantly enhance decision-making processes. They provide valuable insights by analyzing large amounts of data and transforming it into actionable information. 3- Enhanced Operational Efficiency: 2-How do BI and BI and BA can help optimize processes and workflows by identifying Business bottlenecks and inefficiencies. Analytics 4- Strategic Planning and Forecasting: BI and BA tools can help organizations develop effective strategic support decision plans by analyzing market trends, customer behavior, and competitor making? activities. 5- Customer Insights: BI and BA can analyze customer data to understand preferences, behaviors, and needs.  Artificial Intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction. 3-What is While AI has made significant strides, it still differs artificial fundamentally from human intelligence in several ways: intelligence (AI)? Learning: How does it AI: Learns through algorithms and data, often requiring massive amounts of data to train. differ from Human: Learns through experience, observation, and social interaction. human Reasoning: intelligence? AI: Follows logical rules and algorithms to make decisions. Human: Can reason both logically and intuitively, often influenced by emotions and biases.  Artificial Intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction. 3-What is While AI has made significant strides, it still differs artificial fundamentally from human intelligence in several ways: intelligence (AI)? Creativity: AI: Can generate creative outputs based on patterns and data, but lacks How does it true originality. Human: Possesses the ability to think abstractly, innovate, and come up differ from with novel ideas. human Consciousness: intelligence? AI: Lacks consciousness and self-awareness. Human: Possesses consciousness, enabling subjective experiences and self-reflection. Physical Embodiment: AI: Exists primarily in digital form. Human: Has a physical body that interacts with the world. Machine Learning: Subtypes: Supervised, unsupervised, and reinforcement learning. Benefits: Predictive Analytics: Forecasting future trends and behaviors. 4-What are the Automated Decision-Making: Making data-driven decisions without human intervention. major types of Pattern Recognition: Identifying patterns and anomalies in large datasets. AI techniques and how do they Natural Language Processing (NLP): Benefits: benefit Sentiment Analysis: Understanding customer organizations? feedback and opinions. Language Translation: Facilitating global communication and business. Chatbots and Virtual Assistants: Improving customer service and support. Deep Learning: Benefits: Complex Pattern Recognition: Recognizing intricate patterns in large datasets. Image and Speech Recognition: Improving accuracy and efficiency. 4-What are the Natural Language Understanding: Enabling machines to understand and respond to human major types of language. AI techniques and how do they Expert Systems: Benefits: benefit Knowledge Base: Storing and accessing expert organizations? knowledge. Decision Support: Providing expert advice and recommendations. Problem-Solving: Solving complex problems efficiently. AI Benefits Organizations by : Enhanced Decision-Making: AI can analyze vast amounts of data to provide insights and recommendations, leading to better decision-making. 4-What are the Increased Efficiency: Automation of routine tasks and processes can improve efficiency and reduce costs. major types of Improved Customer Experience: AI-powered chatbots AI techniques and virtual assistants can provide 24/7 customer support, leading to higher customer satisfaction. and how do they benefit Innovation and New Product Development: AI can help identify new opportunities and accelerate product organizations? development cycles. Risk Mitigation: AI can be used to detect fraud, identify security threats, and predict potential risks.  Wireless Networking Standards Wi-Fi : This family of standards enables wireless local area networks (WLANs) and provides connectivity for devices like laptops, smartphones, and IoT devices. 5-What are the Bluetooth: This technology enables short-range wireless communication between devices like smartphones, headphones, keyboards, and mice. principal Cellular Networks technologies 2G, 3G, 4G, and 5G: These generations of cellular networks provide and mobile broadband internet access, enabling voice calls, text messaging, and data transfer on smartphones and other mobile devices. standards for LTE (Long-Term Evolution): A 4G technology that offers faster data speeds and lower latency than previous generations. wireless Internet Protocols networking, TCP/IP (Transmission Control Protocol/Internet Protocol): The fundamental protocol suite for communication over the internet. communication, HTTP (Hypertext Transfer Protocol): Used for communication between web browsers and web servers. and Internet HTTPS (Hypertext Transfer Protocol Secure): A secure version of HTTP that encrypts communication between clients and servers. access? FTP (File Transfer Protocol): Used for transferring files between computers. SMTP (Simple Mail Transfer Protocol): Used for sending email messages. POP3 (Post Office Protocol 3) and IMAP (Internet Message Access Protocol): Used for retrieving email messages. How do they work: 6-How do the Data Transmission: Information is broken down into packets, Internet and which are then sent over the network. Internet Routing: Routers direct these packets along the most efficient path to their destination. technology work, IP Addresses: Each device connected to the internet has a and how do they unique IP address, which helps identify and locate devices. support Domain Name System (DNS): This system translates domain communication names (like [invalid URL removed]) into IP addresses, making it easier for humans to remember and access websites. and e-business? How do they support 6-How do the Communication & E-Business: Internet and Reduced Costs: Online communication and e-commerce eliminate the need for physical infrastructure and reduce Internet operational costs. technology work, Increased Efficiency: Automation of tasks, streamlined and how do they processes, and real-time communication improve efficiency. support Enhanced Collaboration: Tools like email, video conferencing, and project management software facilitate collaboration among teams, communication regardless of location. and e-business? E-commerce: Online marketplaces and digital payment systems have transformed the way people shop, allowing businesses to sell products and services globally.  Study Cases Case 1: Retail Giant Leverages AI for Personalized Case 2: Healthcare Provider Uses AI for Early Disease Shopping Detection Problem: A major retail chain struggled with declining customer Problem: A healthcare provider wanted to improve early detection of satisfaction and sales. They needed a way to better understand diseases like cancer and diabetes, leading to better patient outcomes. customer preferences and provide personalized shopping Solution: The provider implemented an AI-powered diagnostic tool. This experiences. tool analyzed medical images, patient records, and genetic data to identify Solution: The retailer implemented an AI-powered recommendation potential health risks. It could: system. By analyzing customer purchase history, browsing behavior, Detect Diseases Early: Identify early signs of diseases, enabling timely and demographic data, the system could: intervention. Personalized Product Recommendations: Suggest items tailored to Personalize Treatment Plans: Recommend tailored treatment plans individual customers' tastes. based on individual patient data. Targeted Marketing Campaigns: Deliver personalized promotions Reduce Misdiagnosis: Improve diagnostic accuracy and reduce and offers. medical errors. Optimized Inventory Management: Predict demand and reduce Results: stockouts. Increased early detection rates Results: Improved patient outcomes Increased customer satisfaction and loyalty Reduced healthcare costs Boosted sales and revenue Improved inventory turnover  PRESENTED TO: DR. Ahmed Adel Ismail