Boston AI Developers Group

AI meetup for developers and startup

Tue, Aug 25 · 5:00 PM EDT

Venture Café Cambridge, Cambridge, MA, US

Important Notes: Register at the external event website is required for admission.

Description:
Welcome to the AI meetup event in Boston, in collaboration with InterSystems. Join us to learn the latest trends, tools, and features to Innovate on Health Data.

Food, beverages, and networking opportunities will be provided as always.

Tech Talk: Don't Send That Clinical Prompt Yet
Speaker: Vishal Pallerla, InterSystems
Abstract: Clinical data should not be treated like ordinary prompt content. This session demonstrates a privacy-first workflow that uses OpenMed to detect and remove sensitive patient identifiers locally before any text is sent to a cloud AI model.

Tech Talk: AI with InterSystems IRIS - tools, skills, and graphs, oh my!
Speaker: Thomas Dyar, Senior Manager, InterSystems

Speakers/Topics:
Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Sponsors:
We are actively seeking sponsors to support our community. Whether it is by offering venue spaces, providing food/drink, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 10,000+ AI developers in Boston or 500K+ worldwide.

AI Workshop with Neo4j and AWS - Boston

Thu, Aug 27 · 12:00 PM EDT

AWS Office, BOS21 55 Pier 4 Blvd., Boston, MA, US

Important note: Register on AICamp event website is REQUIRED for admission.

Join Neo4j and AWS experts for a hands-on lab designed for data scientists and engineers who want to build production-ready generative AI applications grounded in connected enterprise data.
In this half-day, in-person workshop, you’ll learn how to combine knowledge graphs with Amazon Bedrock foundation models to build explainable, context-aware AI applications using GraphRAG and agentic AI patterns.

What You Will Learn:
✅ Deploy and explore Neo4j on AWS using best practices
✅ Use Amazon Bedrock foundation models to build graph-grounded GenAI workflows
✅ Implement GraphRAG patterns that combine vector search with connected knowledge graphs
✅ Build and invoke AI agents that reason over structured and unstructured data
✅ Integrate Neo4j vector search and embeddings for semantic and hybrid retrieval
✅ Build and invoke AI agents that reason over structured and unstructured data

Who should attend:
Developers, Builders, Data engineers, Data scientists, and Tech leaders.

Featured Speakers:

• Ryan Knight, Neo4j
• Arth Purohit, AWS

Federate AI Summit - Boston

Mon, Oct 19 · 9:00 AM EDT

Omni Hotel Boston Seaport, 450 Summer St, Boston, MA, US

Important note: Register on AICamp event website is REQUIRED for admission.

The Federate AI Summit is designed for scientists, technologists, and business leaders navigating the complexities of AI adoption and decentralized intelligence within highly regulated environments.

As the enterprise landscape shifts toward decentralized architectures, Federated AI has emerged as a strategic imperative. This Summit brings together executive perspectives, technical deep dives, and real-world case studies to explore how to move beyond the constraints of data centralization and the persistent barriers to change management, turning bottlenecks into catalysts for growth.

Agenda Tracks

• ENABLE & TRUST: The Infrastructure and Governance Layer
  Federated computing only scales if the plumbing and the guardrails are both solid — this track brings the two together. Hear directly from the infrastructure players building the technical backbone of federated systems today, and from the governance leaders navigating sovereignty, cross-border data rules, and the trust requirements enterprises demand before they'll deploy.
• SCALE & DEPLOY: Enterprise Use Cases
  Hear from the teams who've actually done it — rolling federated systems out across multiple sites, getting buy-in from skeptical stakeholders, migrating to cloud, running real analyses at scale — across pharma, healthcare, banking, agrotech, cyber defense, and automotive. Learn what worked, what broke, and what it took to get from pilot to production.
• NEXT: Pushing the Science Forward
  Where is federated learning actually headed? This track pulls together the researchers pushing the science forward — new approaches and the methods shaping what's possible — alongside scientists sharing real proof-of-concept stories from the field.
• GROWTH: Market, Capital & Builders
  Federated computing is proving itself as the future of AI infrastructure — this track is where the money and the builders meet. Investors active in the space share what they're seeing, where they think the market is headed, and what you should consider whether you're raising, investing, or looking for your next partner.

Who should attend:
Tech leaders in Engineering, Data, AI, ML, or Product roles, with job title: CxO-s, VP-s, Directors.

Featured Speakers:

• Ittai Dayan, CEO & Founder of Rhino Federated Computing
• Katie Igartua, General Manager of Tempus
• Monisha Malhan, Executive Vice President at TCG Digital
• Chalapathy Neti, Associate Vice President, AI & AI Fellow, Fordham University
• Michael Rosenthal, Radiologist and Research, Dana-Farber Cancer Institute
• Holger Roth, Principal Federated Learning Scientist at NVIDIA
• Mark Van Oene, Chief Operating Officer, PacBio
• Alice Walsh, Chief Operating Officer, Synthesize Bio
• and 10+ more