Our Generative AI Workshop Series is designed to help medium, large, and enterprise organizations understand, implement, and leverage the transformative power of generative AI. The series includes multiple workshops focusing on different aspects of AI integration, providing both theoretical insights and practical demonstrations. Studies have shown that applying generative AI within business processes can increase efficiency by 30-160% and improve quality by up to 40% when applied correctly. Our workshops are tailored to ensure your organization reaps these benefits. Discovery Phase: Kickstart your AI journey with a thorough understanding of how generative AI can augment your business operations. This phase includes targeted workshops and technical demonstrations to identify strategic AI opportunities and deliver an executive report and a technical proof of concept. Workshops:

1. Introduction to AI and Strategic Implications: Objective: Introduce participants to generative AI, its business implications, and security considerations. Duration: 2 hours (online) Activities: Overview of generative AI, key concepts, strategies for AI innovation. Outcome: Participants will gain essential insights into generative AI for strategic business advantage.

2A. Master Data Analytics: Objective: Demonstrate the application of generative AI in data analytics. Duration: 4 hours (on-site, split into two 2-hour sessions) Activities: Overview, technical demo with customer data, discussion on business process alignment. Outcome: Understand and apply generative AI to improve data analytics.

2B. Knowledge Management: Objective: Explore generative AI in organizational knowledge management. Duration: 4 hours (on-site, split into two 2-hour sessions) Activities: Overview, technical demo with customer data, discussion on business process alignment. Outcome: Transform knowledge management practices with generative AI.

3A. Master Data Analytics Follow-Up: Objective: Advance AI integration in data analytics. Duration: 4 hours (on-site, split into two 2-hour sessions) Activities: Recap, technical demo, integration strategies. Outcome: Establish a foundation for generative AI integration in business workflows.

3B. Knowledge Management Follow-Up: Objective: Deepen AI integration in knowledge management. Duration: 4 hours (on-site, split into two 2-hour sessions) Activities: Review insights, contextual applications, practical embedding of AI. Outcome: Participants will gain practical strategies for integrating generative AI into their knowledge management systems.