AI business school for manufacturing
Offered By: Microsoft via Microsoft Learn
Course Description
Overview
- Module 1: Explore the strategic components, use cases, and special factors of an enterprise AI strategy that creates real business value, with INSEAD and Microsoft.
- Consider various approaches to AI implementation.
- Describe the outcomes organizations have achieved through the adoption of AI.
- Articulate the components of an AI strategy.
- Module 2: Explore the strategic components, special factors, and use cases of an AI strategy in manufacturing that creates business value, with INSEAD and Microsoft.
- Describe manufacturing industry outcomes achieved through the adoption of AI.
- Articulate the components of an AI strategy.
- Apply the value creation framework.
- Module 3: Understand the key elements that make a culture AI-ready and a framework to drive the change needed in your organization for a successful AI strategy.
- Describe the key elements of an AI-ready organizational culture.
- Identify opportunities for change to achieve an AI-ready culture.
- Apply the AI Maturity Model Assessment to your business.
- Module 4: Learn the necessary cultural changes for enterprise finance organizations to make AI transformation successful, and how they fit into a holistic AI strategy.
- Recognize the key elements of an AI-ready organizational culture in finance.
- Explain how Microsoft incorporated AI into its finance processes.
- Identify opportunities for change to achieve an AI-ready culture in your finance department.
- Module 5: Learn the necessary cultural changes for enterprise marketing organizations to make AI transformation successful, and how they fit into a holistic AI strategy.
- Recognize the key elements of an AI-ready organizational culture in marketing.
- Explain how Microsoft incorporated AI into their marketing processes.
- Identify opportunities for change to achieve an AI-ready culture in your marketing department.
- Module 6: Learn the necessary cultural changes for enterprise sales organizations to make AI transformation successful, and how they fit into a holistic AI strategy.
- Recognize the key elements of an AI-ready organizational culture in sales.
- Explain how Microsoft incorporated AI into our sales processes.
- Identify opportunities for change to achieve an AI-ready culture in your sales department.
- Module 7: Learn the necessary cultural changes for enterprise customer service to make AI transformation successful, and how they fit into a holistic AI strategy.
- Recognize the key elements of an AI-ready organizational culture in customer service.
- Explain how Microsoft incorporated AI into customer service processes.
- Identify opportunities for change to achieve an AI-ready culture in your customer service department.
- Module 8: Explore six principles to guide AI development and use - fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability
- Describe the importance of engaging with AI in a responsible manner.
- Identify six guiding principles to develop and use AI responsibly.
- Describe different approaches to responsible AI governance from experienced executives.
- Module 9: Learn guiding principles for organizations, and how to choose and operationalize a governance system to responsibly and successfully use AI in the enterprise.
- Determine the elements of an AI governance system.
- Choose an AI governance model that fits your organization’s needs.
- Module 10: Discover how to translate your organization’s ethical principles into actionable guidance and tools for engineering teams and how AI can improve lives worldwide
- Explain how Microsoft provides accountability for responsible AI through a governance structure.
- Describe how Microsoft risk management processes are used to identify, assess, and mitigate risks.
- Establish responsible design principles within your own organization.
- Module 11: Learn the primary concepts and technologies of AI, and how Microsoft is turning the latest AI into tools, products, and services that organizations can use
- Understand why is AI making an impact in businesses now.
- Understand what is AI and its capabilities.
- Understand how to use prebuilt AI with no machine learning expertise.
- Understand the basics of machine learning and what kinds of business problems to apply it.
- Module 12: Learn how Microsoft creates products, services, and solutions to help organizations leverage AI. Understand how these technologies relate to business problems.
- Articulate how Microsoft AI technology can solve business problems.
- Describe the Microsoft AI products, services, and solutions.
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Syllabus
- Module 1: Define an AI strategy to create business value
- Introduction
- Define a holistic AI strategy for your business with INSEAD
- Transform your applications with AI - Case study introduction
- Transform your applications with AI - Executive Q&A
- Transform your applications with AI - Case study resolution
- Discover the value of empowering every employee with AI - Case study introduction
- Discover the value of empowering every employee with AI - Case study resolution
- Knowledge Check
- Summary and resources
- Module 2: Define an AI strategy to create business value in manufacturing
- Introduction
- Identify the business value of AI in manufacturing with INSEAD
- Transform business processes in manufacturing with AI - Case study introduction
- Transform business processes in manufacturing with AI - Executive Q&A
- Transform business processes in manufacturing with AI - Case study resolution
- Knowledge Check
- Summary and resources
- Module 3: Understand the importance of building an AI-ready culture
- Introduction
- Understand the importance of building an AI-ready culture
- Discover the characteristics that foster an AI-Ready culture
- Understand how Prosci's ADKAR framework can help you lead organizational change
- Discover how to apply the AI Maturity Model Assessment to your business
- Knowledge Check
- Summary and resources
- Module 4: Discover how to foster an AI-ready culture in finance
- Introduction
- Discover how to foster an AI-ready culture in finance - Case study introduction
- Discover how to foster an AI-ready culture in finance - Executive Q&A
- Discover how to foster an AI-ready culture in finance - Case study resolution
- Knowledge Check
- Summary and resources
- Module 5: Discover how to foster an AI-ready culture in marketing
- Introduction
- Discover how to foster an AI-ready culture in marketing - Case study introduction
- Discover how to foster an AI-ready culture in marketing - Executive Q&A
- Discover how to foster an AI-ready culture in marketing - Case study resolution
- Knowledge Check
- Summary and resources
- Module 6: Discover how to foster an AI-ready culture in sales
- Introduction
- Discover how to foster an AI-ready culture in sales - Case study introduction
- Discover how to foster an AI-ready culture in sales - Executive Q&A
- Discover how to foster an AI-ready culture in sales - Case study resolution
- Knowledge Check
- Summary and resources
- Module 7: Discover how to foster an AI-ready culture in customer service
- Introduction
- Discover how to foster an AI-ready culture in customer service - Case study introduction
- Discover how to foster an AI-ready culture in customer service - Executive Q&A
- Discover how to foster an AI-ready culture in customer service - Case study resolution
- Knowledge Check
- Summary and resources
- Module 8: Identify guiding principles for responsible AI
- Introduction
- Implications of responsible AI - Leadership view
- Implications of responsible AI - Practical guide
- Identify guiding principles for responsible AI
- Identify guiding principles for responsible AI – TD Bank Group executive Q&A
- Identify guiding principles for responsible AI – State Farm executive Q&A
- Identify guiding principles for responsible AI – State Farm case study
- Knowledge check
- Summary and resources
- Module 9: Identify governing practices for responsible AI
- Introduction
- Responsible AI - Establishing a governance and external engagement model
- Choosing an organizational model for AI governance
- Responsible AI - Moving from governance to compliance with EY
- Knowledge check
- Summary and resources
- Module 10: Discuss practices for responsible AI at Microsoft
- Introduction
- Microsoft AI governance model - Executive overview
- Understanding the Microsoft governance model - AETHER + Office of Responsible AI
- Responsible AI frameworks in action
- Establishing design principles and guidelines in engineering
- Engineering tools for responsible AI
- Engaging externally - AI for good
- Knowledge check
- Summary and resources
- Module 11: Introduction to AI technology
- Introduction
- Explore state-of-the-art AI technology
- Introduction to AI technology
- Introduction to the Microsoft AI approach
- Introduction to machine learning and deep learning
- Knowledge Check
- Summary and resources
- Module 12: Examine the Microsoft approach to artificial intelligence
- Introduction
- Examine the Microsoft approach to autonomous systems
- Examine use cases for intelligent bots
- Examine the Microsoft approach to pre-trained cognitive services
- Examine the Microsoft approach to cognitive search
- Examine the Microsoft approach to conversational AI
- Examine the Microsoft approach to SaaS AI and embedded AI
- Knowledge Check
- Summary and resources
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