Graph Genesis: Building Tomorrow's Insights Today

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Embark on a journey of discovery and innovation at Graph Genesis: Building Tomorrow's Insights Today, the premier meetup hosted by the Graph Database Bangalore User Group. Join us on March 16th at the Thoughtworks Bangalore, Koramangala Office for a day that promises to redefine the way you perceive data.

Date: 16th Mar, 2024
Time: 10 AM - 2 PM
Location: Thoughtworks, ACR Mansion,G+ 3 Floors,3rd, 147/F, 8th Main Rd, Koramangala 3 Block, Koramangala, Bengaluru, Karnataka 560034

Talk Topics:

1. Topic: Testing AWS Serverless Integrations with Neo4j using LocalStack Speaker: Harsh Mishra, Engineer @ LocalStack
   Speaker Bio: Harsh is an engineer at LocalStack working at improving the developer experience of engineers developing/testing cloud applications on AWS. He is also an AWS Community Builder in the Serverless category, and has previously worked at Red Hat, HackerRank, and Quansight)
   Talk Description: Dive into the realm of AWS serverless architecture and discover how Neo4j, a leading graph database, integrates seamlessly with it. Our speaker will demonstrate practical strategies for testing these integrations using LocalStack, empowering you to build robust and scalable solutions.
2. Topic: Graph's & QL
   Speaker: Dan Starns, Founder & CTO @ Rocket Connect
   Speaker Bio: Dan is the Founder and CTO at Rocket Connect working closely with people and companies in open source. Previously a core contributor to Neo4j the Database and Prisma the ORM, Dan comes to Bangalore from London to bring his wealth of knowledge and showcase how to use Graph databases with GraphQL.
   Talk Description: Uncover the transformative potential of graphs in the realm of query languages. From optimizing data retrieval to enhancing analytical capabilities, this talk explores the synergy between graphs and query languages, shedding light on innovative approaches to data management.
3. Topic: Developing an eCommerce Search Empowered by Large Language Models and Knowledge Graph (Neo4J)
   Speaker: Shibsankar Das, Principal Data Scientist @ Optum
   Speaker Bio: Shibsankar has 10+ years of experience working in IT where he has led several Data Science initiatives and in 2019, he was recognised as one of the top 40 Data Scientists in India. His core strength is in Deep Learning, NLP, and Graph Neural Networks whereas he has also spent time solving problems in Computer Vision. He has experience working in the domain of Foundational Research, FinTech and eCommerce.
   He is working currently working at Optum as a Principal Data Scientist. Before that, he worked at Walmart, Envestnet, Microsoft Research, and Capgemini. He pursued a Master's from the Indian Institute of Technology, Bangalore.
   Talk Description: In the realm of search solutions, there are typically two main components: retrieval and ranking. Retrieval focuses on fetching the most relevant items based on a user query, while ranking involves reordering these retrieved items using relevance signals. Utilizing a Knowledge Graph can greatly enhance retrieval by providing a structured understanding of the domain.
   In this talk, we'll delve into a strategy for constructing a Knowledge Graph using eCommerce products. We'll explore how this Knowledge Graph, in conjunction with LLM (Large Language Models), can be harnessed to enhance search retrieval.
4. Topic: Generative AI with Knowledge Graphs
   Speaker: Ankit Upadhyay, Application Developer @ ThoughtWorks
   Speaker Bio: Tech enthusiast with a degree and dreams—probably more of the latter. Juggling between coding and binge-watching, I believe in leaving a mark through witty code and perfectly timed punchlines. On a mission to redefine tech norms, because why be serious when you can code with a side of laughter? Let's break the binary together!
   Talk Description: Unlocking AI's charm: crafting knowledge graphs and chatbots—a symphony of data structure and conversational wit. Join me in demystifying the magic at the intersection of Generative AI and Knowledge Graphs!

Meetup Agenda:

• 10:00 AM - 10:30 AM: Registration & Networking
• 10:30 AM - 10:45 AM: Welcome and Introductions
• 10:45 AM - 11:15 AM: Testing AWS Serverless Integrations with Neo4j using LocalStack
• 11:15 AM - 11:45 AM: Graph's & QL
• 11:45 AM - 12:00 PM: Break
• 12:00 PM - 12:30 PM: Generative AI with Knowledge Graphs
• 12:30 PM - 01:00 PM: Developing an eCommerce Search Empowered by Large Language Models and Knowledge Graph (Neo4J)
• 01:00 PM onwards: Networking & Refreshments