Navigating Bill of Materials and Product Design Data with a Semantic Layer using Kobai on Databricks

For global manufacturers, a single regulatory change can trigger a chain reaction across global operations, impacting suppliers, parts, assets, costs, and delivery timelines. This can lead to unexpected costs, production delays, and supply chain disruptions. The challenge isn't a lack of data; it's that crucial information is locked away in multiple systems, such as PDM, PLM, ERP, and other enterprise databases.
 

Join Kobai and Databricks for a live demonstration on transforming siloed product design and engineering data into a unified, connected knowledge graph. We'll show you how to rapidly assess the full operational impact of regulatory changes without manual, time-consuming analysis.

In this session, we’ll

• Construct a semantic knowledge graph in Kobai Studio to stitch together data from multiple domains, providing stakeholders a single, connected view that eliminates data silos and accelerates decision-making.

• Demonstrate how Kobai’s graph can provide self-serve insights to non-technical users, providing valuable insights into the enterprise impact of a regulatory change, enabling teams to act faster, reduce delays, and avoid costly compliance errors.

• Explore how the Kobai SDK can tie the semantic graph into existing AI workflows, improving model accuracy and relevance, leading to smarter forecasts, improved resource allocation, and more resilient operations.

• Seamlessly generate a Databricks Genie Data Room prepopulated with all the semantics from your ontology, accelerating reporting, reducing operational risk, and providing executives a governed, real-time view of impacts.