GenAI: 2-Day workshop

This two-day workshop is designed to help organizations identify and prioritize business use cases for AI enablement. Participants will engage in interactive sessions to explore current business challenges and processes and map them to potential AI solutions, leveraging interactive breakout sessions and expert insights. The workshop aims to provide a clear roadmap for integrating AI technologies to enhance operational efficiency, drive innovation, and achieve strategic goals.

Day 1: Understanding Generative AI & its potential

1. Introduction to Generative AI
   • Key concepts & terminologies
   • Real-world applications and case studies
   • Organizational change readiness assessment
2. Deep dive into Generative AI
   • How does Generative AI work?
   • Benefits & Challenges
   • Ethical considerations
   • Defining clear objectives
3. Function-Business Process Mapping
   • Breakout session: participants divided into groups
   • Each group maps out their current business processes
   • Highlight key areas for potential AI integration
4. Identification of processes that can be AI-enabled
   • Groups present their mapped processes
   • Collective brainstorming on which processes can benefit from AI
   • Introduction to tools & platforms that can help in identification process
5. Wrap-up
   • Summary of concepts and findings from Day 1
   • Lay the groundwork for Day 2

Day 2: Crafting the AI Roadmap

1. Building an AI Strategy
   • Understanding organizational needs and goals
   • Aligning AI initiatives with business objectives
   • Employee and organizational impact considerations
2. Drafting individual Roadmaps
   • Groups draft a preliminary AI integration roadmap for respective process
   • Peer review and feedback session
3. Technical consideration for AI implementation
   • Data collection and management
   • Choosing the right AI models and tools
   • Training and validation of AI models
4. Roadmap on how to achieve AI integration
   • Step-by-step guide to AI integration
   • Timelines and milestones
   • Communication strategies and best practices
5. Way Forward
   • Summarizing key takeaways
   • Next steps

Benefits

• Strategic Alignment: Helps align AI initiatives with business goals, ensuring that AI investments support overall strategic objectives.
• Identification of Key Opportunities:Identifies specific business challenges and opportunities where AI can add the most value.
• Informed Decision-Making: Provides insights and frameworks to make informed decisions about AI adoption and implementation.
• Enhanced Innovation: Stimulates innovative thinking and explores new ways to leverage AI for competitive advantage.
• Operational Efficiency: Identifies processes that can be optimized or automated using AI, leading to improved efficiency and cost savings.
• Risk Mitigation: Helps understand the potential risks and challenges associated with AI projects and how to address them.
• Cross-functional Collaboration: Encourages collaboration between different departments, fostering a unified approach to AI enablement.

Technology Stack:
Azure Data & AI Services include Azure Data Factory, Azure Cosmos DB, Azure Synapse Analytics, Azure Data Lake, Azure Machine Learning, Azure OpenAI Services, Fabric Data Science, Copilot Studio, Azure AI Studio.

Price:
Price for the workshop will vary based on the mode of workshop (physical/virtual/hybrid), geographic location.