Business Strategy and AI Implementation
Description
Strategic frameworks for implementing generative AI in organizations, including change management, ROI assessment, and transformational leadership approaches.
Learning Objectives
Learners will develop strategic thinking skills for AI implementation, understand how to identify and evaluate AI use cases, create business cases for AI investments, lead organizational change management for AI adoption, and establish metrics for measuring AI transformation success.
Topics (7)
Systematic approaches for discovering AI opportunities, evaluating feasibility and impact, and creating prioritization frameworks for AI initiatives across various business domains.
Methodologies for building comprehensive business cases including cost-benefit analysis, risk evaluation, timeline estimation, and stakeholder communication strategies for AI projects.
Strategic approaches for managing organizational change during AI implementation including communication strategies, training programs, and cultural transformation initiatives.
Development of AI governance frameworks, center of excellence models, and operating structures to support sustainable and scalable AI adoption in large organizations.
Frameworks for establishing KPIs and success metrics for AI initiatives including technical performance metrics, business impact measurements, and continuous improvement indicators.
Strategic approaches for building AI partnerships, managing vendor relationships, and creating collaborative ecosystems to accelerate AI adoption and innovation.
Strategic planning approaches for building flexible AI strategies that can adapt to technological evolution, market changes, and emerging opportunities in the AI landscape.