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Part of IBM Community - 121 groups

Data, Cloud and AI in Zagreb

4.5

16 ratings

Zagreb, HR

963 members · Public group

Organized by IBM Community and 3 others

What we’re about

To see all meetups in this group: https://www.meetup.com/pro/ibm-community/

This is an IBM sponsored Meetup group geared towards developers, data scientists, data engineers, and ALL Big Data, Cloud and AI enthusiasts. Our meetups provide an opportunity to work hands on with the solutions and tools in our Big Data portfolio and to interact and share knowledge with experts at IBM and in our extended community.

Our Meetups typically include a 45-60 min (max) presentation that serves as an introduction and overview for a specific Big Data technology. It is followed by ~3 hours to collaborate with fellow developers and apply your Big Data skills. Depending upon the location, we can provide a cloud environment that you can run through the browser of your laptop at NO cost to you. Our meetups are FREE.

Meetup topics include:
- Hadoop-based analytics
- Open Source Hadoop, SQL on Hadoop, R on Hadoop, Integration, Governance, ...
- Real Time Analytics & Stream Computing
- Text Analytics
- Visualization and Discovery tools for Big Data
- Big Data App Development
- Big Data & Cloud
- NoSQL
- Internet of Things (IoT)
- Deep dives into the technologies that makes big data processing possible
- Anything and everything about Big Data

Join us today for a hands on software development experience.

Upcoming events (2)

See all

Network event
149 attendees from 114 groups hosting
Fri, Aug 8, 2025, 8:00 AM UTC[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 Chessman 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.
2 attendees from this group
Network event
202 attendees from 114 groups hosting
Thu, Aug 14, 2025, 4:00 PM UTC[AI Alliance] Introduction to Llama Stack
Link 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.
1 attendee from this group