Taking the Lead with Artificial Intelligence (AI)

Develop the knowledge and strategic perspective needed to actively shape AI adoption within your organization, capitalize on emerging opportunities, and identify and manage the risks that come with integrating artificial intelligence into business operations.

Every working professional today needs a grounded, realistic understanding of what AI integration actually involves, including its costs, its rewards, and the pitfalls that frequently derail even well-intentioned efforts. To stay ahead, you need to go beyond surface-level AI awareness and develop a more strategic framework for guiding your organization through this transformation.

In this course, you will learn what it takes to integrate AI successfully, explore case studies of organizations that are building, scaling, and continuously refining their AI initiatives to drive business value, and discover tools for accelerating enterprise improvement while carefully weighing relevant constraints and potential benefits.

You will also gain insight into what an effective AI implementation roadmap looks like and how to communicate its strategic value to the key decision-makers in your organization.

Who Should Attend:

• Managers, leaders, and business professionals who are committed to leveraging AI strategically and need to understand the specific tools, strategies, and risk management approaches available to them.

How You Will Benefit:

• Review the key concepts that form a sound AI framework for your organization
• Build a more robust framework that supports better thinking and decision-making as you move toward AI adoption
• Explore strategic approaches to AI that help influence critical business decisions
• Analyze your organization's existing challenges and readiness for new technology, and identify how to address key barriers
• Discuss the full spectrum of risks and benefits accompanying AI integration
• Promote a culture of AI adoption within your organization as you develop practical AI solutions

What You Will Cover:

• Recognizing the power of generative AI and the value it can create for your organization
• Understanding the elements of an AI framework and a realistic implementation roadmap
• Envisioning how AI can enable the creation of new products and services
• Identifying the major cost drivers and expected ROI for AI integration
• Evaluating your organization's current position and its vulnerability to AI-driven disruption
• Understanding employee resistance to change and strategies for managing it constructively
• Addressing the ethical considerations involved in AI deployment
• Integrating technical and societal factors into a comprehensive AI strategy and plan

Outline:

• Learning Objectives
  • Understand AI terminology and core concepts
  • Explore how organizations are applying AI in their operations today
  • Discuss AI adoption strategies that support competitive advantage
  • Recognize the impact of AI-driven change on talent development, recruitment, management, and retention
• Artificial Intelligence Today
  • Clarify AI terms and definitions
  • Recognize the ways in which AI is driving exponential business change
  • Identify how technology and data access are shaping business strategies
• AI and the Strategic Landscape
  • Identify how data and technology are driving competitive strategy
  • Identify opportunities for strategic differentiation
  • Understand the impact of AI on competitive positioning
• Understanding AI Cost Drivers and ROI
  • Identify typical costs associated with AI implementation
  • Understand the factors that can inflate costs or reduce ROI
• Organizational Readiness and AI-Driven Change
  • Understand the challenges that commonly accompany AI adoption
  • Evaluate organizational readiness for change
  • Recognize responses to change and how to manage them effectively
• AI Risks and Opportunities
  • Understand the primary risks associated with AI solutions
  • Assess potential vulnerabilities specific to your implementation context
  • Identify corrective steps and mitigation strategies
• AI Ethics and Governance
  • Understand the ethical issues, transparency concerns, and bias risks associated with AI
  • Establish AI governance structures early to ensure appropriate guardrails
  • Develop awareness of relevant legal and governmental AI policies
• Building Your AI Business Strategy and Plan
  • Identify the key components of your AI adoption strategy
  • Define what success looks like for your organization
  • Create an AI implementation roadmap
  • Communicate the strategic value of your proposed AI approach to leadership