YoVDO

AI business school for financial services

Offered By: Microsoft via Microsoft Learn

Tags

Artificial Intelligence Courses Finance Courses Machine Learning Courses Business Strategy Courses Organizational Change Courses Responsible AI Courses

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.

    • In this module, you will:

    • 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, use cases, and special factors of an AI strategy in financial services that creates business value, with INSEAD and Microsoft.

    • In this module, you will:

    • Describe financial service 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.

    • In this module, you will:

    • 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.

    • In this module, you will:

    • 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.

    • In this module, you will:

    • 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.

    • In this module, you will:

    • 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.

    • In this module, you will:

    • 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

    • In this module, you will:

    • 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.

    • In this module, you will:

    • 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

    • In this module, you will:

    • 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

    • In this module, you will:

    • 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.

    • In this module, you will:

    • Articulate how Microsoft AI technology can solve business problems.
    • Describe the Microsoft AI products, services, and solutions.

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 financial services
    • Introduction
    • Identify the business value of AI in financial services with INSEAD
    • Transform business processes in financial services with AI - Case study introduction
    • Transform business processes in financial services with AI - Executive Q&A
    • Transform business processes in financial services 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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