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Artificial Intelligence: Implications for Strategy

Artificial Intelligence: Implications for Strategy

Artificial Intelligence: Implications for Strategy

This program is an engaging mix of introductions to key technologies, business insights, case examples, and your own business-focused project, your learning journey will bring into sharp focus the reality of central AI technologies today and how they can be harnessed to support your business needs. I will help you understand the implications of these new technologies for business strategy, as well as the economic and societal issues they raise and how artificial intelligence will complement and strengthen our workforce rather than just eliminate jobs.

 

Learning Outcome

By the end of the program, participants will be able to:

  • Develop an understanding of AI as a concept
  • Apply the different AI applications in the business value chain
  • Demonstrate the technologies and algorithms behind AI
  • Apply best practices in an AI project with its activities
  • Assess the available and necessary skills and competencies
  • Develop an understanding of AI Governance
  • Create an AI roadmap to build an AI-ready organization
  • Identify, evaluate and prioritize AI use cases for your organization
  • Use AI Project Canvas to plan AI initiatives and develop an approach for scaling pilots into enterprise-wide adoption

Target Audience

This program is intended for professionals seeking to learn about AI’s current capabilities, applications, and future potential to be well-positioned to plan and manage successful AI projects

  • Digital Transformation leaders, managers and executives
  • Leaders overseeing the integration of AI into their organization’s business strategy
  • Managers and executives involved with managing teams and AI-driven projects
  • Functional Business Heads interested in exploring AI opportunities across business functions
  • Data Scientists and Analysts involved in research for business intelligence or data analytics where AI may be useful
  • Professional looking to upskill and advance in their careers through new technologies

Introduction to Artificial Intelligence

Key concepts:

  • Intelligent Agents and Environments
  • Search Algorithms
  • Natural Language Processing
  • Expert Systems
  • Neural Networks
  • AI in Historical Perspective
  • Stages of Artificial Intelligence
  • Future of AI: Achieving Human-Level Artificial Intelligence

 

Overview of AI Building Block Technologies

  • Conversational AI
  • Machine Learning:
  • Supervised Machine Learning
  • Unsupervised Machine Learning
  • Reinforcement Learning
  • Deep Learning and Neural Networks
  • Robotics
  • The promise of the new AI Technologies: AI Cloud Services, AutoML, Edge AI
  • Industry-Specific Use Cases
  • AI Platforms: Microsoft Azure, Google TensorFlow, IBM Watson
  • Leveraging the Potential of Cloud-Based AI

 

Intelligent AI Adoption

  • Strategy
  • Technology & Data
  • People & Organization
  • AI Governance
  • Building a strategy AI Roadmap for your organizations
  • AI Use Case Generation, Evaluation and Prioritization
  • Building a portfolio of AI use cases
  • Analyzing AI use cases and capabilities
  • Prioritizing AI use cases: impact, effort, and risk
  • Working with AI Project Canvas:
  • Value Proposition
  • Ingredients
  • Users
  • Financing
  • Scaling AI pilot into enterprise-wide production
  • Creative Garage Approach to Ideate and Define an AI Project
  • Risk and Challenges: Avoiding Common Pitfalls
  • Ethical AI Principles: Ethics, Bias and Trust

Fee Per participant

USD 1125

Fees + VAT is applicable

 

Dates & Times

No course dates scheduled – click the below to request an in-house course

 

Overview

This program is an engaging mix of introductions to key technologies, business insights, case examples, and your own business-focused project, your learning journey will bring into sharp focus the reality of central AI technologies today and how they can be harnessed to support your business needs. I will help you understand the implications of these new technologies for business strategy, as well as the economic and societal issues they raise and how artificial intelligence will complement and strengthen our workforce rather than just eliminate jobs.

 

Learning Outcome

By the end of the program, participants will be able to:

  • Develop an understanding of AI as a concept
  • Apply the different AI applications in the business value chain
  • Demonstrate the technologies and algorithms behind AI
  • Apply best practices in an AI project with its activities
  • Assess the available and necessary skills and competencies
  • Develop an understanding of AI Governance
  • Create an AI roadmap to build an AI-ready organization
  • Identify, evaluate and prioritize AI use cases for your organization
  • Use AI Project Canvas to plan AI initiatives and develop an approach for scaling pilots into enterprise-wide adoption

Target Audience

This program is intended for professionals seeking to learn about AI’s current capabilities, applications, and future potential to be well-positioned to plan and manage successful AI projects

  • Digital Transformation leaders, managers and executives
  • Leaders overseeing the integration of AI into their organization’s business strategy
  • Managers and executives involved with managing teams and AI-driven projects
  • Functional Business Heads interested in exploring AI opportunities across business functions
  • Data Scientists and Analysts involved in research for business intelligence or data analytics where AI may be useful
  • Professional looking to upskill and advance in their careers through new technologies
Course Outline

Introduction to Artificial Intelligence

Key concepts:

  • Intelligent Agents and Environments
  • Search Algorithms
  • Natural Language Processing
  • Expert Systems
  • Neural Networks
  • AI in Historical Perspective
  • Stages of Artificial Intelligence
  • Future of AI: Achieving Human-Level Artificial Intelligence

 

Overview of AI Building Block Technologies

  • Conversational AI
  • Machine Learning:
  • Supervised Machine Learning
  • Unsupervised Machine Learning
  • Reinforcement Learning
  • Deep Learning and Neural Networks
  • Robotics
  • The promise of the new AI Technologies: AI Cloud Services, AutoML, Edge AI
  • Industry-Specific Use Cases
  • AI Platforms: Microsoft Azure, Google TensorFlow, IBM Watson
  • Leveraging the Potential of Cloud-Based AI

 

Intelligent AI Adoption

  • Strategy
  • Technology & Data
  • People & Organization
  • AI Governance
  • Building a strategy AI Roadmap for your organizations
  • AI Use Case Generation, Evaluation and Prioritization
  • Building a portfolio of AI use cases
  • Analyzing AI use cases and capabilities
  • Prioritizing AI use cases: impact, effort, and risk
  • Working with AI Project Canvas:
  • Value Proposition
  • Ingredients
  • Users
  • Financing
  • Scaling AI pilot into enterprise-wide production
  • Creative Garage Approach to Ideate and Define an AI Project
  • Risk and Challenges: Avoiding Common Pitfalls
  • Ethical AI Principles: Ethics, Bias and Trust
Schedule& Fees

Fee Per participant

USD 1125

Fees + VAT is applicable

 

Dates & Times

No course dates scheduled – click the below to request an in-house course