Graph Data Science Meetup: Empowering the Graph Database and AI Community

Note: Meetup RSVPs are closed. Please make sure to fill this form now to secure your spot at this exciting event!

Are you passionate about the intricate interconnections that shape our world? Eager to dive into the realms of Graph Databases and Artificial Intelligence? Join us for an enlightening evening of discovery, collaboration, and empowerment at the "Graph Data Science Meetup: Empowering the Graph Database and AI Community."

Date: 14th Oct, 2023
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

Agenda:
10 am - 10:30 am: Registrations
10:30 am - 12.30 pm: Workshop on "Machine Learning with graphs" by Kumar Iyer and Hemanth Acharya
12:30 pm - 12:45 pm: Break
12:45 pm - 1:15 pm: Building Long-term Memory for LLMs with Graph Databases by Anuj Garg
1:15 pm - 2:00 pm: Networking over pizzas

Please bring your laptop as there will be a hands-on session. Don't miss this opportunity to learn about the power of graphs and their impact on data analysis and machine learning.

What's more? There will be SWAGs for everyone at the end! :)

Workshop Topic: Machine Learning with graphs
Summary: In this beginner-friendly workshop, we will explore how to leverage graphs for making predictions and recommendations. We'll dabble with a few technologies like pyTorch, pyG and neo4j. There would be some hands-on as well, so we'll encourage you to bring your laptops and also pair up with your fellow attendees.
Speakers:
🎤 Kumar Iyer, Engineering Director @ Thoughtworks
Bio: Kumar is an Engineering Director at Thoughtworks where his focus is on scaling engineering excellence and rigour and making sure it fosters innovation in the organization. He has spent several years as a full-stack developer and has worked in various technologies such as Java, .NET, JavaScript, Golang and Python.

🎤 Hemanth Acharya, Lead Consultant @ Thoughtworks
Bio: 13+ yrs of comprehensive experience in building large scale distributed systems, primarily using Java , Spring boot , kafka and some flavours of sql and nosql technologies. I have been in thoughtworks for around 4.5 yrs and helping clients build applications by following all the thoughtworks best practices.

Speaker:
🎤 Anuj Garg, Founder and Tech Lead @ Code for Cause
Talk Topic: Building Long-term Memory for LLMs with Graph Databases
Talk Description: In this talk, we will cover the following topics:

• Overview of Graph Databases.
• Relations between nodes in Graph Databases.
• Cases where we don't have concrete Relations.
• What is embedding vector and how can we use that in creating vector relations between nodes.
• How using graph database like neo4j in LLM can
• Improve performance and scalability.
• Better understanding of context.
• More creative and informative responses.

Bio: Anuj Garg, an avid database enthusiast, leverages his expertise to harness the transformative power of databases in product development. As a former Developer Advocate at Google and the founder of Code for Cause, he brings a wealth of experience and innovation to the tech industry, driving positive change and solutions.

About the Event:
In today's data-driven landscape, harnessing the power of relationships and connections within your data is paramount. Graph databases have emerged as a transformative technology that enables us to model, query, and analyze complex relationships with unparalleled efficiency. Meanwhile, Artificial Intelligence continues to redefine what's possible across industries.

This meetup is a rendezvous for enthusiasts, experts, and curious minds alike. Whether you're a seasoned data scientist, a graph database aficionado, an AI practitioner, or just someone intrigued by the potential of these fields, this is the place to be. It's an opportunity to learn from leading experts, engage in insightful discussions, and forge connections with like-minded individuals.

Don't miss out on this enriching opportunity to expand your knowledge, connect with peers, and contribute to the growth of the graph data science and AI ecosystem. Together, we'll shape the future of data-driven insights!

Register now to secure your spot and be part of the Graph Data Science Meetup that's driving innovation and collaboration.

We look forward to welcoming you to this exciting event!