What we’re about
IBM Developer is a platform of resources to help you further your application development!
This meetup group is run by the IBM Developer NYC team and its extended family. It is intended to further expand your application development and DevOps skills through workshops, tech talks, and social engagements.
You can find more resources on the IBM Code platform here:
https://developer.ibm.com/code/
You can sign up for a free IBM Cloud account here:
https://www.ibm.com/cloud/
You can learn more about our team here:
https://developer.ibm.com/code/community/cities/new-york/
See you at one of our events soon!
Cheers,
Pooja, Nigel, and Jenna
Upcoming events (2)
See all- Network event222 attendees from 114 groups hosting[AI Alliance] MAAI: Multi-agentic AI student support system for Workforce 5.0Link visible for attendees
Industry 5.0 is here with rapid advancement of emerging technologies such as digital twins and GenAI-powered robotic systems, there is an urgent need for training the next generation workforce and transforming the current workforce to be AI-assisted professionals. Educational institutions can use MAAI to provide all-round learning support such as project idea generation, task management, and mental therapy. Moreover, MAAI can engage in group discussions and provide feedback to project members, rather than conventional one-on-one chatbot conversation.
About the speaker
Dr. Rui Li is an assistant professor running Flexible AI-enabled Mechatronic Lab (FAMS) at Department of Mechanical and Aerospace Engineering/General Engineering at NYU Tandon School of Engineering. He has an educational background in chemical and robotic engineering. He has professional experience in the telecommunication and medical industries. He has a few medical devices being used for human trials at the Center for Clinical Oncology, National Institute of Health. His current research interests lie in physical AI and transformative medical technologies.About the AI Alliance
The AI Alliance is an international community of researchers, developers and organizational leaders committed to support and enhance open innovation across the AI technology landscape to accelerate progress, improve safety, security and trust in AI, and maximize benefits to people and society everywhere. Members of the AI Alliance believe that open innovation is essential to develop and achieve safe and responsible AI that benefit society rather than benefit a select few big players.Join the community
Sign up for the AI Alliance newsletter (check the website footer) and join our new AI Alliance Discord. - Agentic AI Workshop: Powered by BeeAI, Tavily & RedisIBM 1 Madison Avenue, NYC, NY
To attend, please enroll here: https://lu.ma/7j80z56c
Get hands-on with the next generation of AI tools in this technical workshop focused on building a company analysis AI agent. You'll learn how to:
- Orchestrate multi-step AI workflows using the BeeAI framework
- Integrate real-time internet search using the Tavily MCP server
- Add RAG (Retrieval-Augmented Generation) capabilities with Redis to search document sets
Whether you're building agents for internal tools, research, or production use, this is your chance to work directly with the teams behind these cutting-edge tools.
🍕 Pizza and refreshments will be provided.Seats are limited — RSVP now to secure your spot!
🎯 Who Should Attend
This workshop is designed for:- Developers & Data Scientists
- Technical Product Managers
- Engineering Students with Python experience
- Technical hobbyists forever learning
To get the most out of the workshop, you'll need:
✅ A working knowledge of Python
✅ Comfort using your preferred IDE
✅ A laptop you can code on during the session
![[AI Alliance] MAAI: Multi-agentic AI student support system for Workforce 5.0 cover photo](https://secure.meetupstatic.com/photos/event/c/9/d/4/event_529371668.webp "[AI Alliance] MAAI: Multi-agentic AI student support system for Workforce 5.0")
Past events (476)
See all- Network event543 attendees from 114 groups hosting[AI Alliance] Improving Chatbot Reliability Through Graph-Based RetrievalThis event has passed
