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Title & Speakers	Event
Event Thoughtworks meets AI Camp Berlin: Data Systems for AI Agent 2025-08-14
Tech Talk: Agentic AI under the hood 2025-08-14 · 16:00 To be updated AI/ML
Tech Talk: Building Fast and Safe Data Systems for Interactive Agents 2025-08-14 · 16:00 Ori Brostovski – Software Engineer @ Firebolt Whether they’re part of a workflow or powering a user experience, AI agents often need to work on your data at interactive speeds. Because of this, they demand more from data systems than traditional analytics workloads. Low latency is no longer a luxury, and handling concurrency is essential if you want an agent to scale with a growing platform. But with great access comes great risk: safeguards and strict permission models are critical. This talk will explore the principles and patterns for building responsive, reliable data infrastructure that agents can trust and users can depend on. AI/ML Analytics

Thoughtworks meets AI Camp Berlin: GenAI, LLMs and Agent 2025-02-13 · 17:00 This Meetup is presented by our friends from AI Camp Berlin. For more information and to help us keep track, please register via the event page of AICamp with this Link ----------------------------- Welcome to the AI meetup in Berlin! Join us for deep dive tech talks on AI, GenAI, LLMs and machine learning, food/drink, networking with speakers and fellow developers. Agenda: * 6:00pm\~7:00pm: Checkin, Food/drink and Networking * 7:00pm\~9:00pm: Tech talks and Q&A * 9:00pm: Open discussion and Mixer Tech Talk: Specializing Small Language Models With Less Data Speaker: Jacek Golebiowski (Distil Labs) Abstract: The latency of LLMs is a crucial factor when building multi-agent systems. Implementing small, specialized language models is an option, but it is not often leveraged because it requires gathering high volumes of human-labeled training data. To alleviate this problem, I will discuss how large language models can generate synthetic data to help tune small models on domain-specific tasks. Tech Talk: Evaluation principles for NLP engines Speaker: Oren Matar Abstract: As NLP models become increasingly prevalent in modern applications, the industry faces a critical challenge: how can we effectively evaluate the limitations of black-box NLP systems? This session introduces a model-agnostic evaluation paradigm that automatically generates test datasets enriched with labeled linguistic challenges for each example. These labels enable precise analysis of failure cases, uncovering critical flaws and actionable insights. We will also present the development of a performance dashboard that visualizes engine capabilities, fostering better collaboration between data science and product teams. PLEASE REGISTER ON THE EVENT PAGE of AI CAMP with this Link ------ Code of Conduct We adhere to the Berlin Code of Conduct to ensure a welcoming and respectful environment for all participants. The event space operates under largely compatible Thoughtworks Meetups & Events CoC. Accessibility The Location is accessible for wheelchair users. This includes the entrance (no steps to get into the location), toilets and the stage.	Thoughtworks meets AI Camp Berlin: GenAI, LLMs and Agent

This Meetup is presented by our friends from AI Camp Berlin. For more information and to help us keep track, please register via the event page of AICamp with this Link ----------------------------- Welcome to the AI meetup in Berlin! Join us for deep dive tech talks on AI, GenAI, LLMs and machine learning, food/drink, networking with speakers and fellow developers.

Agenda: * 6:00pm\~7:00pm: Checkin, Food/drink and Networking * 7:00pm\~9:00pm: Tech talks and Q&A * 9:00pm: Open discussion and Mixer

Tech Talk: Specializing Small Language Models With Less Data Speaker: Jacek Golebiowski (Distil Labs) Abstract: The latency of LLMs is a crucial factor when building multi-agent systems. Implementing small, specialized language models is an option, but it is not often leveraged because it requires gathering high volumes of human-labeled training data. To alleviate this problem, I will discuss how large language models can generate synthetic data to help tune small models on domain-specific tasks.

Tech Talk: Evaluation principles for NLP engines Speaker: Oren Matar Abstract: As NLP models become increasingly prevalent in modern applications, the industry faces a critical challenge: how can we effectively evaluate the limitations of black-box NLP systems? This session introduces a model-agnostic evaluation paradigm that automatically generates test datasets enriched with labeled linguistic challenges for each example. These labels enable precise analysis of failure cases, uncovering critical flaws and actionable insights. We will also present the development of a performance dashboard that visualizes engine capabilities, fostering better collaboration between data science and product teams.

PLEASE REGISTER ON THE EVENT PAGE of AI CAMP with this Link ------ Code of Conduct We adhere to the Berlin Code of Conduct to ensure a welcoming and respectful environment for all participants. The event space operates under largely compatible Thoughtworks Meetups & Events CoC.

Accessibility The Location is accessible for wheelchair users. This includes the entrance (no steps to get into the location), toilets and the stage.

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