Muftasoft TM

User Tools

Site Tools

Trace: • convertable_bonds_and_notes_in_a_startup • course_list • six_sigma
products:ict:ai:for_executives

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
Next revision		Previous revision
products:ict:ai:for_executives [2023/03/26 15:09] – wikiadminproducts:ict:ai:for_executives [2023/12/10 14:08] (current) – wikiadmin
Line 7: Line 7:
 {{:restricted-area-for-courses:ai:ai_in_business.jpeg?400|}} {{: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 [[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
 +38 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 opportunity, once more, to submit ideas regarding the potential
 for robotics to be deployed in a business context of your choice for robotics to be deployed in a business context of your choice
 +
 +
  
  
Line 184: Line 462:
  
 ARTIFICIAL INTELLIGENCE IN BUSINESS AND SOCIETY ARTIFICIAL INTELLIGENCE IN BUSINESS AND SOCIETY
 +
 +[[https://www.youtube.com/watch?v=Xz2kaQWQSJk|
 +Artificial Intelligence’s Impact on Business]]
 +
  
 In this module, you’ll see examples of other kinds of AI as well In this module, you’ll see examples of other kinds of AI as well
Line 192: Line 474:
 and considerations that may apply to integrating AI in a business and considerations that may apply to integrating AI in a business
 context of your choice. context of your choice.
 +
 +
 +[[https://www.youtube.com/watch?v=P6vwNM_ecFk|
 +What Are The Negative Impacts Of Artificial Intelligence (AI)?]]
 +
  
  
 THE FUTURE OF ARTIFICIAL INTELLIGENCE THE FUTURE OF ARTIFICIAL INTELLIGENCE
 +
 +[[https://www.youtube.com/watch?v=dctcfxw13AQ|
 +Beyond ChatGPT: what chatbots mean for the future]]
 +
 +
  
 This module will allow you to imagine the future of AI and its This module will allow you to imagine the future of AI and its
Line 201: Line 493:
 the strategic implementation of AI and collective intelligence into the strategic implementation of AI and collective intelligence into
 an organization of your choice. an organization of your choice.
 +
 + 
  
  
Line 216: Line 510:
 [[https://www.es.unisg.ch/en/programme/artificial-intelligence-executives| Artificial Intelligence for Executives [[https://www.es.unisg.ch/en/programme/artificial-intelligence-executives| Artificial Intelligence for Executives
 Develop the Mindset, Knowledge, and Skills for the Digital Age ]] 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|
 +10 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 234: Line 570:
 Dr. Holger Schmidt Dr. Holger Schmidt
  
-AI-based Business Models (10 November 2021)+ 
  
 Nicole Büttner, Co-founder & CEO Merantix Labs Nicole Büttner, Co-founder & CEO Merantix Labs
Line 259: Line 596:
  
 Understand the limitations of ML and AI and how to use them to analyse results and determine risk factors Understand the limitations of ML and AI and how to use them to analyse results and determine risk factors
 +
 +
 +[[https://www.genome.gov/about-genomics/educational-resources/fact-sheets/artificial-intelligence-machine-learning-and-genomics|
 +Artificial Intelligence, Machine Learning and Genomics]]
 +
 +[[https://www.ibm.com/cloud/blog/ai-vs-machine-learning-vs-deep-learning-vs-neural-networks|
 +AI vs. Machine Learning vs. Deep Learning vs. Neural Networks: What’s the Difference?]]
 +
 +
 +[[https://towardsdatascience.com/the-limitations-of-machine-learning-a00e0c3040c6|
 +The Limitations of Machine Learning]]
 +
 +
 +[[https://www.machinelearningpro.org/limitations-of-machine-learning/|
 +Limitations Of Machine Learning: Facts You Should Know]]
 +
 +[[https://resources.experfy.com/ai-ml/limitations-of-machine-learning/|
 +The Limitations of Machine Learning]]
 +
 +
  
 Apply the concepts and applications of ML and AI to real-world scenarios Apply the concepts and applications of ML and AI to real-world scenarios
Line 334: Line 691:
 Transforming Your Business with AI gives you a deep understanding of how AI is deployed in business, so that you can see what it can (and cannot) do for you and your organisation. The programme equips you with practical frameworks and templates to work with data scientists and programmers, showing you how to commission analysis and analyse the results you receive. Transforming Your Business with AI gives you a deep understanding of how AI is deployed in business, so that you can see what it can (and cannot) do for you and your organisation. The programme equips you with practical frameworks and templates to work with data scientists and programmers, showing you how to commission analysis and analyse the results you receive.
  
-The programme is delivered over five consecutive weeks by leading INSEAD faculty – professors and industry experts who are at the cutting edge in leverage AI in sectors like finance, marketing and organisational design. As such, you will understand how to make the most of these emerging technologies. +**How you benefit**
-How you benefit+
  
 Gain solid, jargon-free understanding of AI, Machine Learning and the opportunities for your organisation. Gain solid, jargon-free understanding of AI, Machine Learning and the opportunities for your organisation.
 +
 +[[https://www.forbes.com/sites/cindygordon/2021/04/29/understanding-ai-and-machine-learning-concepts-to-build-your-ai-leadership-brain-trust/?sh=468f19d126a3|
 +Understanding AI And Machine Learning Concepts To Build Your AI Leadership Brain Trust.]]
 +
  
 Explore how different applications work across functional areas. Explore how different applications work across functional areas.
 +
 +[[https://www.techtarget.com/searchenterpriseai/tip/9-top-applications-of-artificial-intelligence-in-business|
 +9 top applications of artificial intelligence in business]]
 +
 +
  
 Master the skills and vocabulary to work effectively with data scientists. Master the skills and vocabulary to work effectively with data scientists.
 +
 +[[https://www.techtarget.com/searchenterpriseai/feature/3-in-demand-AI-skills-that-boost-data-scientists-development|
 +3 in-demand AI skills that boost data scientists' development]]
 +
 +[[https://www.tableau.com/learn/articles/data-science-skills|
 +10 Essential Skill Sets For Data Scientists]]
 +
 +[[https://www.techtarget.com/searchenterpriseai/tip/11-data-science-skills-for-machine-learning-and-AI|
 +11 data science skills for machine learning and AI]]
 +
 +
 +[[https://www.indeed.com/career-advice/resumes-cover-letters/data-scientist-skills|
 +Data Scientist Skills: Definitions and Examples]]
 +
 +[[https://www.tableau.com/en-gb/learn/articles/data-science-skills|
 +10 skill sets every data scientist should have]]
 +
 +
 +Bias in Data
 +
 +[[https://www.nist.gov/news-events/news/2022/03/theres-more-ai-bias-biased-data-nist-report-highlights|
 +There’s More to AI Bias Than Biased Data, NIST Report Highlights]]
 +
 +[[https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.1270.pdf|
 +Towards a Standard for Identifying and Managing Bias in Artificial Intelligence]]
 +
 +[[https://www.nist.gov/itl/ai-risk-management-framework|
 +AI RISK MANAGEMENT FRAMEWORK]]
 +
 +
 +
 +
  
 Understand the risks and limits of relying blindly on algorithms. Understand the risks and limits of relying blindly on algorithms.
 +
 +
 +[[https://hbr.org/2021/05/5-rules-to-manage-ais-unintended-consequences|
 +5 Rules to Manage AI’s Unintended Consequences]]
 +
 +
 +
  
 Learn how to build AI capabilities for your organisation. Learn how to build AI capabilities for your organisation.
 +
 +
 +[[https://www.forbes.com/sites/forbesbusinesscouncil/2021/07/22/15-ways-to-leverage-ai-in-customer-service/?sh=844331020bbd|
 +15 Ways To Leverage AI In Customer Service]]
 +
 +[[https://hbr.org/2019/07/building-the-ai-powered-organization|
 +Building the AI-Powered Organization]]
 +
 +
 +
  
 Work on individual or group Action Learning Projects, with feedbacks from Learning Coaches, to solve real business problems within the context of your actual job and organisation. Work on individual or group Action Learning Projects, with feedbacks from Learning Coaches, to solve real business problems within the context of your actual job and organisation.
Line 352: Line 766:
  
 Transforming Your Business with AI is designed for: Transforming Your Business with AI is designed for:
 +
 +[[https://www.businessnewsdaily.com/9402-artificial-intelligence-business-trends.html|
 +How Artificial Intelligence Will Transform Businesses]]
 +
  
 Senior executives who want to understand how they can make their organisations AI-ready Senior executives who want to understand how they can make their organisations AI-ready
Line 366: Line 784:
  
 Learn about digital technologies used in digital transformation projects Learn about digital technologies used in digital transformation projects
 +
 +[[https://hbr.org/2022/01/the-4-pillars-of-successful-digital-transformations|
 +The 4 Pillars of Successful Digital Transformations]]
 +
 +[[https://www.accenture.com/us-en/insights/digital-transformation-index|
 +What is digital transformation?]]
 +
  
 Explore the sources of value of digital transformations for businesses Explore the sources of value of digital transformations for businesses
  
 Consider challenges of privacy and security in digital transformations Consider challenges of privacy and security in digital transformations
 +
 +[[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 Assess digital tools, technologies, processes and their uses
Line 378: Line 806:
  
 Apply principles of digital transformation to real-world business problems Apply principles of digital transformation to real-world business problems
 +
 +[[https://hbr.org/2021/11/4-principles-to-guide-your-digital-transformation|
 +4 Principles to Guide Your Digital Transformation]]
 +
  
 Develop a framework for digital transformation within your organisation Develop a framework for digital transformation within your organisation
Line 385: Line 817:
 Recommend appropriate approaches to infrastructure, data governance and change management to support digital transformations 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 +
- +
-Module 3: Big Data Analytics +
- +
-Module 4: Automation and Artificial Intelligence +
- +
-Module 5: FinTech and Blockchain +
- +
-Phase II - Implementing a Digital Transformation  +
- +
-Module 6: Sources of Value in a Digital World +
- +
-Module 7: A Framework for Implementing a Digital Transformation +
- +
-Module 8: Considerations of Privacy and Security +
- +
- +
- +
-----+
  
 +The Internet of Things
  
-WHAT YOU WILL LEARN+Big Data Analytics
  
-This online short course integrates rich, interactive media such as +Automation and Artificial Intelligence
-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:+
  
 +FinTech and Blockchain
  
-ORIENTATION MODULE+**Implementing a Digital Transformation**
  
-1 WEEK+Sources of Value in a Digital World
  
-WELCOME TO YOUR ONLINE CAMPUS+A Framework for Implementing a Digital Transformation
  
-You’ll be welcomed with a personal call and get introduced +Considerations of Privacy and Security
-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 AN INTRODUCTION TO ARTIFICIAL INTELLIGENCE
Line 451: Line 850:
  
  
-MODULE 2+
  
 MACHINE LEARNING IN BUSINESS MACHINE LEARNING IN BUSINESS
Line 464: Line 863:
 of machine learning in a business context of your choice. of machine learning in a business context of your choice.
  
-MODULE 3+
  
 NATURAL LANGUAGE PROCESSING IN BUSINESS NATURAL LANGUAGE PROCESSING IN BUSINESS
Line 477: Line 876:
 in a business context of your choice. 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 5 
- 
-ARTIFICIAL INTELLIGENCE IN BUSINESS AND SOCIETY 
- 
-In this module, you’ll see examples of other kinds of AI as well 
-as return to collective intelligence and the human-machine 
-relationship. Here you’ll also consider the impact of AI on jobs, 
-and the ethical and social implications of AI integration. 
-You’ll be tasked with anticipating and planning for the risks 
-and considerations that may apply to integrating AI 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?  What is artificial intelligence (AI)? What does it mean for business? And how can your company take advantage of it? 
products/ict/ai/for_executives.1679825341.txt.gz · Last modified: 2023/03/26 15:09 by wikiadmin