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Generative AI and Knowledge Graphs: Unveiling the Future of Knowledge Retrieval – Asia Pacific has completed, but you can still view the video archive.

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Generative AI and Knowledge Graphs: Unveiling the Future of Knowledge Retrieval – Asia Pacific

Thursday, December 14 | 9:00 a.m. IST | 11:30 a.m. SGT/CST/HKT | 12:30 p.m. JST | 2:30 p.m. AEDT

This half-day event is a deep dive into the combined power of Generative AI, particularly Large Language Models (LLMs), with knowledge graphs. During the sessions, we’ll explore the profound implications of integrating knowledge graphs into LLM-powered applications to improve response accuracy, explainability, relevance, and context.

This Connections event will help you:

  • Navigate the complexities of AI for enterprises, shedding light on the pivotal role of knowledge graphs in LLM deployments
  • Investigate how this integration refines search precision and optimizes knowledge retrieval, opening up new dimensions for generative AI applications
  • Explore practical approaches to amplifying LLM capabilities through seamless integration with knowledge graphs

Don’t miss this opportunity to explore the future of AI and the transformative potential lying at the intersection of Generative AI and knowledge graphs.

Sign up to get more info on the agenda and speakers as it becomes available. If you’re unable to attend the entire event, that’s okay! Everyone who registers will get access to all sessions on-demand after the event – so be sure to register today.

Register for Connections:
Generative AI and Knowledge Graphs: Unveiling the Future of Knowledge Retrieval – Asia Pacific

Speakers

Photo of Neha Bajwa

Neha Bajwa

Vice President, Product Marketing
Neo4j

Photo of Mike Leone

Mike Leone

Principal Analyst, Analytics & AI
Enterprise Strategy Group

Photo of Sudhir Hasbe

Sudhir Hasbe

Chief Product Officer
Neo4j

Photo of Ben Goosman

Ben Goosman

Senior Software Engineer
Kineviz

Photo of Gal Engelberg

Gal Engelberg

Applied Research Team Lead
Accenture Labs Israel

Photo of Dan Klein

Dan Klein

Principal Director, Cyber Research Lead
Accenture Labs Israel

Photo of Satej Kumar Sahu

Satej Kumar Sahu

Senior Software Data Architect
The Boeing Company

Photo of Jennifer Reif

Jennifer Reif

Senior Developer Advocate
Neo4j

Photo of Alison Cossette

Alison Cossette

Data Science Advocate
Neo4j

Photo of Deepak Tanna

Deepak Tanna

Specialist Master
Deloitte Consulting LLC

Photo of Guhan Sivaji

Guhan Sivaji

Senior Cloud Partner Architect
Neo4j

Photo of Adam Cowley

Adam Cowley

Staff Developer Advocate
Neo4j

Agenda

Subject to Change

  • 11:30 – 11:40

    Neha Bajwa, Vice President, Product Marketing, Neo4j

    Welcome

  • 11:40 – 12:00

    Mike Leone, Principal Analyst, Analytics & AI, Enterprise Strategy Group

    Beyond the GenAI Hype: Real-world Investments, Use Cases, and Concerns

  • 12:00 – 12:20

    Sudhir Hasbe, Chief Product Officer, Neo4j

    Unlocking the Power of GenAI with Neo4j’s Knowledge Graph

  • 12:20 – 12:45

    Ben Goosman, Senior Software Engineer, Kineviz

    Embodied Methods for Quick and Accurate Insights About Documents Using LLMs

  • 12:45 – 1:15

    Gal Engelberg, Applied Research Team Lead, Accenture Labs Israel

    Dan Klein, Principal Director, Cyber Research Lead, Accenture Labs Israel

    Cyberattack Countermeasures Generation With LLMs & Knowledge Graphs

  • 1:15 – 1:40

    Satej Kumar Sahu, Senior Software Data Architect, The Boeing Company

    Bridging UI and Explainability for Language Models through Intuitive Graph Data Annotation

  • 1:40 – 2:05

    Jennifer Reif, Senior Developer Advocate, Neo4j

    Alison Cossette, Data Science Advocate, Neo4j

    Improved Results with Vector Search in Knowledge Graphs

  • 2:05 – 2:25

    Deepak Tanna, Specialist Master, Deloitte Consulting LLC

    Guhan Sivaji, Senior Cloud Partner Architect, Neo4j

    Extending the Supply Chain: Managing ESG with Neo4j’s Digital Twin & Gen AI Solution

  • 2:25 – 3:00

    Adam Cowley, Staff Developer Advocate, Neo4j

    Guided Walkthrough: Building More Accurate Chatbots