Graphing the Future: How Generative AI, RAGs & Knowledge Graphs are Shaping AI

Join us for an exciting event at Microsoft Reactor Bengaluru on July 20th to explore the cutting edge of AI where Generative AI, Graph Neural Networks (RAGs), and Knowledge Graphs are converging to shape the future of artificial intelligence.

Speakers:
🎤 Pavan Kumar Narendra, Founder @ Suketa Technology Solutions LLP
Talk Title: Easy Metadata Management (Git for data) Using Neo4j
Talk Summary: All enterprises today receive, process, transform and store large amounts of data. A typical production database contains hundreds of tables and their corresponding columns. It’s becoming increasingly hard to keep track of where the data is coming from => stored => processed and transformed => sent downstream for further processing and archival. In this session, they will describe how they used Neo4j to not only capture this complex “web” of information at a high level but also find out the lineage of a specific metadata at a low level. They will also describe how they created a chatbot to easily make sense of this information or a.k.a "Knowledge Graph" using RAG and other techniques.
Bio: Pavan Kumar Narendra is the founder of Suketa Technology Solutions which is a startup based out of Bengaluru, India. He started his career in embedded systems, doing assembly and C programming. Previously he used to work for Walmart Labs where he was working primarily in the cloud to design distributed systems using both traditional RDBMS and No-SQL Databases at Walmart scale! He has a MSEE degree from the University of Arkansas, Fayetteville. When he is not working for his startup, you will most probably find him running after his toddler.

🎤 Jyotishko Biswas, AI Leader @ HP Finance
Talk Title: Technical Advancements in Retrieval Augmented Generation (RAG) method and how it can bring major dollar benefits to businesses.
Talk Summary: Talk will discuss how advancements in RAG methodology can be leveraged to build improved LLM powered applications which provide higher accuracy and lower compute and memory cost. RAG’s original technical architecture will be compared with its advanced technical architectures. Demo will showcase how advancement in RAG method can be leveraged to build RAG based application which provides higher accuracy and reduces compute and memory cost. RAG advancements include using Knowledge Graph as data repository instead of vector database, latent-representation based RAG, fusion based RAG, RAG combined with LLM retraining etc.
Bio: Jyotishko Biswas is a national award-winning AI leader at HP, heading all AI, Generative AI and Analytics initiatives for Global HP Treasury. In his prolific AI career spanning 18 years, he and his team have delivered over 100 AI and Generative AI projects, including an AI project which provided massive cash benefits of $300M. He has received two highly competitive national level AI awards and four prestigious recognitions from the Global CFO of a Fortune 100 technology firm for delivering substantial dollar value through technology. He has given multiple AI talks, published AI papers and is a member of esteemed Forbes Technology Council.

🎤 Sterin Jacob, Customer Support Engineer @ Neo4j
Talk Title: Unlocking Hidden Connections: Leverage Neo4j Vector Search for Powerful Insights
Talk Summary: Traditional graph databases excel at revealing relationships between data points. But what if you want to find deeper connections based on meaning and context, not just exact matches? This talk dives into the exciting world of Neo4j Vector Search, a powerful new feature that unlocks the potential of vector embeddings. We'll explore how to leverage these numerical representations of data (text, images, etc.) to perform fast and efficient similarity searches. Discover how Neo4j Vector Search empowers you to Uncover hidden relationships, Enrich AI applications, Boost image and document search. This talk will equip you with the knowledge and practical examples to leverage Neo4j Vector Search and unlock a new level of understanding from your data.

Deep Dive into Key Topics:

• How Generative AI is revolutionizing knowledge graph construction and reasoning.
• Understanding the potential of RAGs for graph-based AI applications.
• Exploring the synergy between Generative AI, Graphs, and Knowledge Graphs to unlock new possibilities in AI.
• Practical applications and real-world use cases across various industries.

This event will provide a platform for:

• Learning from industry experts about the latest advancements in Generative AI, Graphs, and Knowledge Graphs.
• Engaging in discussions and networking opportunities with fellow AI enthusiasts.
• Gaining insights into how these technologies can be leveraged to solve real-world problems.

Don't miss this opportunity to be at the forefront of the AI revolution!