AI business school for financial services

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.

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.

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.

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.

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.

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.

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.

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.

In this module, you will:

• Determine the elements of an AI governance system.
• Choose an AI governance model that fits your organization’s needs.

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.

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.

In this module, you will:

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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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