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--- products:ict:ai:for_executives [2023/03/26 15:47] – wikiadmin
+++ products:ict:ai:for_executives [2023/12/10 14:08] (current) – wikiadmin
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 {{:restricted-area-for-courses:ai:ai_in_business.jpeg?400|}}
+Designing a course on AI for business owners requires a comprehensive outline that covers various aspects of artificial intelligence and its practical applications in business. Below is a sample course outline for an AI for Business Owners course:
+**Module 1: Introduction to AI in Business**
+- **1.1 Overview of Artificial Intelligence**
+  - Definition and key concepts
+  - Historical development of AI
+  - Types of AI: Narrow AI vs. General AI
+- **1.2 Importance of AI for Business Owners**
+  - Enhancing efficiency and productivity
+  - Gaining a competitive edge
+  - Identifying business opportunities with AI
+- **1.3 Common AI Terminology**
+  - Machine learning, deep learning, natural language processing, etc.
+  - AI applications: Robotics, computer vision, recommendation systems, etc.
+**Module 2: AI Technologies and Tools Overview**
+- **2.1 Machine Learning Basics**
+  - Supervised learning, unsupervised learning, reinforcement learning
+  - Training and testing data
+- **2.2 Deep Learning**
+  - Neural networks
+  - Deep neural networks and their applications
+- **2.3 Natural Language Processing (NLP)**
+  - Understanding and processing human language
+  - NLP applications in business
+- **2.4 Tools and Platforms**
+  - Overview of popular AI frameworks (TensorFlow, PyTorch)
+  - Cloud-based AI services (AWS, Azure, Google Cloud)
+**Module 3: AI Implementation in Business**
+- **3.1 Identifying Business Problems Suitable for AI**
+  - Case studies of successful AI implementations
+  - Assessing feasibility and ROI
+- **3.2 Data Collection and Preprocessing**
+- Importance of quality data
+- Data cleaning and preparation
+- **3.3 Building AI Models for Business**
+- Selecting the right algorithm
+- Training and fine-tuning models
+**Module 4: Ethical Considerations in AI**
+- **4.1 Ethical Issues in AI**
+- Bias and fairness
+- Transparency and accountability
+- Privacy concerns
+- **4.2 Implementing Ethical AI Practices in Business**
+- AI ethics policies
+- Responsible AI development and deployment
+**Module 5: Integration of AI into Business Operations**
+- **5.1 AI in Marketing and Sales**
+- Customer segmentation
+- Personalization and recommendation engines
+- **5.2 AI in Operations and Supply Chain Management**
+- Inventory optimization
+- Predictive maintenance
+- **5.3 AI in Finance and Decision-making**
+- Fraud detection
+- Risk assessment
+**Module 6: Overcoming Challenges in AI Adoption**
+- **6.1 Addressing Resistance and Cultural Shift**
+- Change management strategies
+- Employee training and upskilling
+- **6.2 Managing Security Risks in AI Systems**
+- Cybersecurity considerations
+- Protecting sensitive data
+**Module 7: Future Trends in AI and Business**
+- **7.1 Emerging Technologies**
+- Quantum computing
+- Edge computing
+- **7.2 Continuous Learning and Adaptation**
+- Staying updated on AI advancements
+- Future-proofing AI implementations
+**Module 8: Capstone Project and Case Studies**
+- **8.1 Applying AI Concepts to Real-world Business Challenges**
+- Group projects
+- Analysis of successful AI implementations in various industries
+**Conclusion and Graduation**
+- **Closing Remarks**
+- Recap of key learnings
+- Opportunities for further exploration in AI for business
@@ Line 16: / Line 196: @@
 [[products:ict:ai:framework_for_ai|Robust framework to critically examine the social implications and ethics of AI
 ]]
+[[https://cyber.harvard.edu/events/accounting-ai-comparison-methods|
+Accounting for AI — a Comparison of Methods]]
+[[https://cyber.harvard.edu/story/2021-09/open-access-resources-ai-schools|
+Open Access Resources for AI in Schools]]
+[[https://cyber.harvard.edu/story/2021-08/new-approach-experiential-learning-scholars-inform-city-helsinki-ethical-ai|
+A New Approach to Experiential Learning: Scholars inform the City of Helsinki on ethical AI applications for schools during BKC’s AI Policy Research Clinic]]
+[[https://cyber.harvard.edu/story/2023-03/how-ai-could-write-our-laws|
+How AI could write our laws]]
+[[https://cyber.harvard.edu/story/2023-02/ai-generated-works-artists-and-intellectual-property|
+On AI-Generated Works, Artists, and Intellectual Property]]
+[[https://cyber.harvard.edu/story/2023-02/can-we-people-keep-ai-check|
+Can ‘we the people’ keep AI in check?]]
+[[https://cyber.harvard.edu/story/2023-02/chatgpt-and-beyond-whats-behind-ai-boom|
+ChatGPT And Beyond: What’s Behind The AI Boom?]]
+[[https://cyber.harvard.edu/story/2023-02/expert-warns-ai-tools-potential-threat-democracy|
+Expert warns of AI tools’ potential threat to democracy]]
+[[https://cyber.harvard.edu/story/2023-02/chatgpt-could-be-useful-ai-tool-so-how-are-we-regulating-it|
+ChatGPT could be a useful AI tool. So how are we regulating it?]]
+[[https://cyber.harvard.edu/story/2023-01/meet-three-artists-behind-landmark-lawsuit-against-ai-art-generators|
+Meet The Three Artists Behind A Landmark Lawsuit Against AI Art Generators]]
+[[https://cyber.harvard.edu/story/2023-01/how-chatgpt-hijacks-democracy|
+How ChatGPT Hijacks Democracy]]
+[[https://cyber.harvard.edu/projects/ai-algorithms-and-justice|
+AI: Algorithms and Justice]]
+[[https://cyber.harvard.edu/programs/bkc-policy-practice-artificial-intelligence|
+BKC Policy Practice: Artificial Intelligence]]
+[[https://aiethicsinitiative.org/|
+The Ethics and Governance of Artificial Intelligence Initiative]]
+[[https://cyber.harvard.edu/ethics-and-governance-ai-reading-list|
+Ethics and Governance of AI Reading List]]
+[[https://cyber.harvard.edu/ethics-and-governance-ai-supporters-collaborators-and-friends|
+Ethics and Governance of AI Supporters, Collaborators, and Friends]]
+[[https://www.youtube.com/playlist?list=PL68azUN8PTNjTUsspsam0m0KmmUZ6l1Sh|
+Ethics & Governance of Artificial Intelligence
+The Berkman Klein Center for Internet & Society
+videos 2,210 views Last updated on 11 Jul 2018]]
+[[https://hls.harvard.edu/today/morality-in-the-machines/|
+Morality in the Machines]]
+[[https://www.bostonmagazine.com/news/2017/11/12/ai-research-boston/|
+The Robots Are Coming]]
+[[https://hbr.org/2022/03/ethics-and-ai-3-conversations-companies-need-to-be-having|
+Ethics and AI: 3 Conversations Companies Need to Have]]
+[[https://news.harvard.edu/gazette/story/2020/10/ethical-concerns-mount-as-ai-takes-bigger-decision-making-role/|
+Great promise but potential for peril]]
+[[https://venturebeat.com/ai/the-state-of-ai-ethics-the-principles-the-tools-the-regulations/|
+The state of AI ethics: The principles, the tools, the regulations]]
+[[https://cguttmann.medium.com/an-overview-of-artificial-intelligence-ethics-and-regulations-917859fdcb77|
+An Overview of Artificial Intelligence Ethics and Regulations]]
@@ Line 173: / Line 449: @@
 opportunity, once more, to submit ideas regarding the potential
 for robotics to be deployed in a business context of your choice
@@ Line 215: / Line 493: @@
 the strategic implementation of AI and collective intelligence into
 an organization of your choice.
@@ Line 230: / Line 510: @@
 [[https://www.es.unisg.ch/en/programme/artificial-intelligence-executives| Artificial Intelligence for Executives
 Develop the Mindset, Knowledge, and Skills for the Digital Age ]]
+**AI Business Models**
+[[https://www.forbes.com/sites/forbestechcouncil/2021/05/05/10-business-models-that-reimagine-the-value-creation-of-ai-and-ml/?sh=24eb725368e9|
+Business Models That Reimagine The Value Creation Of AI And ML]]
+[[https://emerj.com/ai-executive-guides/ai-business-models-part-1/|
+Comparing 5 AI Business Models – Part 1 – Transformation or Near-Term Value?]]
+[[https://emerj.com/ai-executive-guides/near-term-ai-trends-a-guide-for-mid-size-business-leaders/|
+Near-Term AI Trends – A Guide for Mid-Size Business Leaders]]
+[[https://emerj.com/ai-executive-guides/ai-career-gap/|
+The AI Career Gap – AI Knowledge as a Career Accelerator]]
+[[https://viso.ai/deep-learning/ml-ai-models/|
+The Ultimate Guide to Understanding and Using AI Models (2023)]]
+[[https://www.clickworker.com/customer-blog/ai-new-business-models/|
+AI Creates New Business Models]]
+[[https://medium.com/predict/choosing-the-right-ai-business-model-df5d81420d74|
+Choosing The Right AI Business Model]]
@@ Line 248: / Line 570: @@
 Dr. Holger Schmidt
-AI-based Business Models (10 November 2021)
 Nicole Büttner, Co-founder & CEO Merantix Labs
@@ Line 475: / Line 798: @@
 [[https://www.nortonrosefulbright.com/en/knowledge/publications/4318add0/digital-transformation-key-technology-cybersecurity-and-privacy-risks|
 Digital transformation: Key technology, cybersecurity and privacy risks]]
 Assess digital tools, technologies, processes and their uses
@@ Line 496: / Line 817: @@
 Recommend appropriate approaches to infrastructure, data governance and change management to support digital transformations
-What you will learn
-Phase I - Technologies Driving Digital Transformation
+**Technologies Driving Digital Transformation**
-Module 1: The Cloud and Mobile
+The Cloud and Mobile
-Module 2: The Internet of Things
+The Internet of Things
-Module 3: Big Data Analytics
+Big Data Analytics
-Module 4: Automation and Artificial Intelligence
+Automation and Artificial Intelligence
-Module 5: FinTech and Blockchain
+FinTech and Blockchain
-Phase II - Implementing a Digital Transformation
+**Implementing a Digital Transformation**
-Module 6: Sources of Value in a Digital World
+Sources of Value in a Digital World
-Module 7: A Framework for Implementing a Digital Transformation
+A Framework for Implementing a Digital Transformation
-Module 8: Considerations of Privacy and Security
+Considerations of Privacy and Security
-----
-WHAT YOU WILL LEARN
-This online short course integrates rich, interactive media such as
-videos, infographics, and e-learning activities, as well as traditional
-didactic components including written study guides (course notes).
-There are also opportunities for collaborative learning through
-discussion forums. The following modules** contribute to the holistic
-approach your learning path takes:
-ORIENTATION MODULE
-WEEK
-WELCOME TO YOUR ONLINE CAMPUS
-You’ll be welcomed with a personal call and get introduced
-to your online teaching and technical support network. Begin
-connecting with fellow participants while exploring the navigation
-and tools of your Online Campus. Be alerted to key milestones in
-the learning path, and review how your results will be calculated
-and distributed.
-You’ll be required to complete your participant profle, confrm
-your certifcate delivery address, and submit a digital copy
-of your passport/identity document.
-MODULE 1
 AN INTRODUCTION TO ARTIFICIAL INTELLIGENCE
@@ Line 562: / Line 850: @@
-MODULE 2
 MACHINE LEARNING IN BUSINESS
@@ Line 575: / Line 863: @@
 of machine learning in a business context of your choice.
-MODULE 3
 NATURAL LANGUAGE PROCESSING IN BUSINESS
@@ Line 588: / Line 876: @@
 in a business context of your choice.
-MODULE 4
-ROBOTICS IN BUSINESS
-This module delves into the key elements of robotics as a
-transformative AI technology, with a focus on automating
-processes and tasks. Through rich case studies and faculty-
-led videos that survey robots and autonomous vehicles, you’ll
-learn how robotics can beneft an organization. You’ll have the
-opportunity, once more, to submit ideas regarding the potential
-for robotics to be deployed in a business context of your choice.
-MODULE 6
-THE FUTURE OF ARTIFICIAL INTELLIGENCE
-This module will allow you to imagine the future of AI and its
-potential use in your organization. Using what you have learned
-from the previous modules, you’ll create a business roadmap for
-the strategic implementation of AI and collective intelligence into
-an organization of your choice.
-Why attend Artificial Intelligence?
-This online program from the MIT Sloan School of Management and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) challenges common misconceptions surrounding AI and will equip and encourage you to embrace AI as part of a transformative toolkit. With a focus on the organizational and managerial implications of these technologies, rather than on their technical aspects, you’ll leave this course armed with the knowledge and confidence you need to pioneer its successful integration in business.
 What is artificial intelligence (AI)? What does it mean for business? And how can your company take advantage of it?