The knowledge-centric enterprise: The foundation to drive agility, innovation and AI in the automotive industry

In an increasingly complex and data-driven business landscape, enterprises in the automotive industry need to capitalize on technologies such as AI to optimize existing operations and drive innovation and agility for products and services. Despite significant investments in cutting-edge technologies, many companies find that the actual value generated is lagging behind expectations. While data is abundant in current architectures, actionable knowledge is not, and without it, effective decision making cannot take place.

metaphacts and Digital Science are inviting data and knowledge enthusiasts from the automotive sector to join us for an afternoon of networking and interactive discussions on building a knowledge-centric enterprise to drive effective, trustworthy and explainable business decisions.

The interactive roundtables and inspiring lighting talks will provide insights into how leveraging latest research findings, patent information or data on market and customer trends to extract actionable knowledge can revolutionize use cases like:

• Supply chain management
• Technology landscape analysis
• Carbon footprint management
• Enterprise information architecture
• Product lifecycle management
• Digital twin and digital thread

The event will offer ample opportunities to hear from peers in the same technology space, explore challenges and use cases, and gain insights into best practices and innovations.

Agenda

12:00 PM - 1:00 PM

Lunch

1:00 PM - 1:30 PM

Opening address & keynote

Ravi Nirankari, Managing Director, Piterion

Knowledge Graph - Superfood for AI to ensure optimised variant configuration for the automotive industry

1:30 PM - 2:30 PM

Parallel roundtable discussion - Knowledge graphs & LLMs

Harnessing knowledge graphs & LLMs across the data value chain to drive AI-powered insights for business decisions. This roundtable will focus on experiences, challenges and use cases with leveraging AI solutions – from knowledge graphs to LLMs – to support data integration across silos as well as knowledge and insights generation to support effective and explainable business decisions.

1:30 PM - 2:30 PM

Parallel roundtable discussion - Data governance

Data governance - Bridging between business language, data catalogs and data products using a semantic layer. In this roundtable, participants will explore how a semantic layer can support alignment and collaboration across business and IT departments and build an enterprise information architecture where data is contextualized and connected.

2:30 PM - 3:00 PM

Coffee break & networking

3:00 PM - 3:30 PM

Lightning talk

To be announced

3:30 PM - 4:00 PM

Lightning talk

Susanne Vejdemo, Ontology Architect, Scania

Semantic Models and Knowledge Graphs are foundational technologies for data centric automotive industry

4:00 PM - 5:00 PM

Parallel roundtable discussion - Data integration

Data integration - Bridging the gap between internal and external knowledge. This roundtable will highlight current challenges in harnessing knowledge from internal and external data sources, as well as approaches and best practices for connecting data silos, supporting FAIR data principles and helping end users uncover insights that may have been previously inaccessible.

4:00 PM - 5:00 PM

Parallel roundtable discussion - Data interoperability

Data interoperability with suppliers and compliance with international standards. In this roundtable, participants will discuss the need for aligning internal knowledge and knowledge models to international standards (e.g., ISO/TC 184/SC 4) in order to ensure interoperability across various systems and processes within the organization but also with suppliers, partners and customers.

5:00 PM - 6:00 PM

Networking drinks

Join us at the Champagner bar at smartvillage Bogenhausen for drinks and flammkucheny

6:00 PM - 9:00 PM

Dinner (optional) at a local restaurant