Munich

24 April 2024

Explore the Future of Interconnected Data and AI

As massive technological disruptions reshape industries, organizations must navigate complexity while accelerating innovation and growth. GraphSummit Munich comes at an urgent moment to reveal how interconnected data and AI drive transformation.

Join us for an action-packed day of visionary keynotes, real-world case studies, and dynamic panels. Unlock exclusive strategic insights alongside pioneering data leaders applying graph technologies and AI models to drive breakthrough discoveries, increase productivity, and catalyze growth.

Don’t miss out on this unique tech event. New customer speakers will be added in the coming weeks.

Agenda

09:30

Welcome & Neo4j Introduction
We encourage you to join us early to collect your name badge, and network over a light breakfast. Agenda starts at 9:30am.
09:40

Neo4j: The Art of the Possible with Graph Technology
Jesús Barrasa, Head of Solutions Architecture for EMEA

Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
10:10

Siemens: RAPUNZEL – A Tale About Knowledge Graph
Josef Aberham, Cloud Solutions Architect

Julia Helmer, Service Management

Siemens utilizes Neo4j to analyze complex networks, build recommendation systems, detect fraud, manage knowledge graphs, and optimize data management, enhancing data-driven decision-making and driving innovation across various domains within their organization.
10:40
QIAGEN Biomedical KBs: Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
- Venkatesh Moktali, PhD, Director of Product Management, GPM – Digital Insights Base
- Dmitrii Kamaev, Ph.D, Senior Product Owner
This talk will unveil QIAGEN’s Biomedical Knowledge Base products, elucidating their structure and schema design optimized for complex data exploration and sophisticated question-answering in the biomedical sector.

Key Takeaways:
- Understanding the Structure: Gain insights into the structured design of the QIAGEN biomedical knowledge graphs, enhancing data scientists and bioinformaticians’ ability to navigate and utilize intricate datasets for drug development.
- Schema Design: learn about the schema design tailored for exploration and question-answering, facilitating efficient data analysis and insight generation in biomedical research.
- Integration with Large Language Models: Explore how these knowledge graphs are used in conjunction with large language models (LLMs) to revolutionize drug discovery applications, providing a cutting-edge approach to predictive analytics and decision-making.
- Practical Applications: Deep dive into real-world applications, including link prediction models and their critical role in expediting drug discovery processes through advanced data analytics and machine learning techniques.
11:10

Morning Break / Ask Me Anything
11:30

EY: Sustainability powered by Graph DB
Rudraksh (Rudy) Bhawalkar, Partner – AI and Data

Learn about how Graph DB can support CSRD and other Regulatory reporting through Predefined Knowledge Models, Sustainability Accelerators, and Prepackaged Business Centric Content. Also, explore how Graph Native Machine Learning helps in fast time to market release of the use cases with increased speed of Data Retrieval to support ESG specific Graph Engine supported through Neo4J.
12:00

Neo4j Product Vision & Roadmap
Michael Hunger, Head of Product Innovation at Neo4j

Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
12:30

Q&A Panel
Q&A with our guest speakers from the morning.
13:00

Lunch and Networking
14:15

Workshops
See the power of Neo4j in action and join one of our two hands-on interactive workshops. There’s something for everyone, whether you’re new to the world of graphs, or a little more experienced. Bring your laptop and join one of these:

Workshop 1. Architecting Innovative Graph Applications
Join this hands-on workshop led by Neo4j experts guiding you to systematically uncover contextual intelligence. Using a real-life dataset we will build step-by-step a graph solution; from building the graph data model to running queries and data visualization. The approach will be applicable across multiple use cases and industries.

Workshop 2. Enabling GenAI Breakthroughs with Knowledge Graphs
Look beyond the hype and unlock practical techniques to responsibly activate intelligence across your organization’s data with GenAI. Explore how to use knowledge graphs to increase accuracy, transparency, and explainability within generative AI systems. You’ll depart with hands-on experience combining relationships and LLMs for increased domain-specific context and enhanced reasoning.
17:00

Food and Drinks - Networking