Lead organizational transformation through generative AI adoption with this strategic masterclass focused on innovation strategy development, practical use-case implementation, and enterprise value acceleration in the era of artificial intelligence. Participants will develop comprehensive understanding of generative AI capabilities, limitations, and implementation considerations while learning to identify high-impact opportunities across business functions and processes. The curriculum emphasizes practical frameworks for assessing organizational readiness, building business cases, and managing the unique risks and ethical considerations associated with generative AI deployment. Through case studies of successful implementations and hands-on experimentation with leading platforms, attendees will learn to design AI innovation strategies that balance ambitious transformation with practical implementation realities. This masterclass prepares business and technology leaders to harness generative AI as a strategic capability rather than merely a technological novelty.
Objectives
- Develop generative AI innovation strategies identifying priority use-cases, implementation roadmaps, and value realization plans
- Master prompt engineering techniques optimizing outputs from large language models for diverse business applications
- Design intelligent automation solutions combining generative AI with robotic process automation for end-to-end process transformation
- Create ethical AI frameworks addressing bias mitigation, transparency requirements, and responsible deployment considerations
- Implement change management approaches addressing workforce implications, skill development needs, and organizational adaptation to AI-enhanced workflows
- Develop business case methodologies quantifying potential value, implementation costs, and risk factors for generative AI initiatives
- Establish governance structures overseeing AI development, deployment, monitoring, and continuous improvement
- Design capability building programs developing AI literacy, technical skills, and innovation mindsets across the organization
Target Audience
- Chief innovation officers and digital transformation leaders steering organizational AI strategy
- Business unit heads identifying and implementing AI opportunities within specific functional areas
- Technology executives and IT leaders responsible for AI infrastructure, platforms, and implementation
- Process excellence professionals integrating AI capabilities into business process redesign and optimization
- Product managers designing AI-enhanced products, services, and customer experiences
- Consultants advising organizations on AI strategy, implementation, and value realization
- Entrepreneurs and startups leveraging generative AI for innovative business models and competitive advantage
- Academics and researchers studying organizational AI adoption and business model innovation
Methodology
- Use-case identification workshops scanning organizational processes and functions for generative AI application opportunities
- Hands-on prompt engineering sessions experimenting with different models and optimization techniques for specific business tasks
- Case study deep-dives examining successful generative AI implementations across industries and business functions
- Business case development workshops creating comprehensive value propositions and implementation plans for AI initiatives
- Ethical framework design sessions addressing bias, transparency, accountability, and societal impact considerations
- Change management simulation exercises navigating organizational resistance and skill development challenges in AI adoption
- Strategy presentation sessions developing and delivering compelling AI innovation strategies to simulated executive audiences
