On May 15, I presented about the future of configuration management enhanced by AI at the IpX International CM2 Congress. The presentation highlighted a fictitious day with an AI assistant, Chrissy, illustrating its role in tasks like meeting organization, impact analysis, and change planning, while addressing data quality and bias concerns in AI systems.
This article discusses enhancing the CM Baseline’s knowledge graph by integrating product and event data, creating a comprehensive ‘product 360.’ It emphasizes the significance of Event Knowledge Graphs to uncover insights overlooked by traditional analysis. By modeling relationships between events and states, it proposes improved predictive capabilities and behavior understanding in product development.
Recent incidents involving autonomous vehicles highlight safety concerns and the complexities of AI development. As AVs face challenges in predictable behavior, the need for Explainable AI becomes crucial. Ensuring accountability and transparency in AI decision-making can build public trust while addressing the risks associated with testing on public roads.