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The IBM Meetup Mid-Hudson-Valley will cover a range of technical topics. Details soon!
Upcoming events (2)
See all- [AI Alliance] How can Agents be Trusted?Link visible for attendees
The Landscape of AI Agents and Identity
As AI agents grow more autonomous and pervasive—powering workflows, interfacing with users, and making decisions—the question of trust becomes unavoidable. Who are these agents acting on behalf of? What gives them the authority to act? How can we verify their provenance, their integrity, or even revoke that authority when needed?
This presentation explores the evolving landscape of AI Agents and Identity, highlighting the foundational challenges in building trusted agents. We’ll examine:
- Why traditional identity systems fall short in agent-based architectures
- The importance of verifiable identity, delegation, and auditability
- How to ensure agents are acting within their intended boundaries
- Emerging standards and design patterns that aim to make AI agent ecosystems secure, interoperable, and trustworthy
- Whether you're building agentic infrastructure or considering how identity fits into your AI strategy, this is a critical moment to shape the rules of trust.
About the speaker
Andor Kesselman is an engineer, builder, CTO, and open source advocate. He is currently the founder of a stealth startup building trust infrastructure for enterprise AI.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. - [AI Alliance] Introduction to Llama StackLink visible for attendees
Meta is excited to announce a deeper collaboration between the AI Alliance and Meta’s Llama Stack, marking a significant milestone in advancing open-source AI development. We invite ISVs and businesses of all sizes to explore partnership opportunities with the AI Alliance, Meta, and Llama Stack. Please fill out this form to be considered for partnership opportunities.
This presentation outlines a solution for easily building and deploying applications with Llama models, addressing challenges faced by both developers and API/service providers. The goal is to simplify tasks like inference, fine-tuning, and evaluation, and to provide production-ready agentic workflows. Llama Stack uses APIs and a plugin architecture to offer a standardized interface and toolchain components, enabling flexible deployments across various environments including on-premise, cloud, and on-device.
About the speaker
Kai Wu is a Partner Engineer, GenAI at Meta, where he helps building the Llama ecosystem, including llama model releases, llama-cookbook github and meta-llama hugging-face org. Before joining Meta, Kai worked on large-scale ML infrastructure at Zoom and Wabbi. He now focuses on expanding llama-stack applications and empowering developers to ship production-ready GenAI systems faster.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.