We’re excited to announce our upcoming meetup in collaboration with Datenna, a pioneering scale-up based in Eindhoven. This event promises to be a deep dive into the innovative use of data and technology, showcasing cutting-edge applications that are shaping the future of open-source intelligence. And all this brought to you by the CTO and Founder of Datenna; Edward Brinkmann. In addition, Shu and Remi are sharing what they learned from building a tool to annotate LLM outputs. Sounds cool and interesting right? Datenna is our host this time and will open the doors of their office on October 29th, see you then!
Program
- 17:00 – 18:00 🍕 Food
- 18:00 – 18:10 🎤 Welcome
- 18:10 – 19:00 🎤 Edward Brinkman: How Datenna built a digital twin of China using graphs and GenAI
- 19:00 – 19:15 ⏸️ Break
- 19:15 – 20:00 🎤 Shu Zhao & Remi Baar: What we've learnt from building a tool to annotate LLM outputs
- 20:00-21:00 🥤 Drinks
How Datenna built a digital twin of China using graphs and GenAI
How do you create a detailed and reliable digital twin of one of the largest economies in the world? How do you ensure that the data being collected from open sources is trustworthy? How do you handle conflicting pieces of information, merge entities across data sources, and ensure every conclusion is explainable and traceable back to the source? These are some of the challenges Datenna tackles daily in its mission to provide the best open-source intelligence to governments worldwide for economic and national security purposes. Discover how Datenna leverages graph databases and GenAI technology to build an open-source intelligence engine that continuously collects information on over 100 million entities in China, mapping all these entities and their relationships. Learn how Datenna, a scale-up founded in Eindhoven, has used these novel technologies to gain a competitive edge globally and became a world leader in techno-economic intelligence on China.
What we've learnt from building a tool to annotate LLM outputs
LLMs can take files, audio, and video as input and generate summaries, answer questions, and extract information. With the Gemini family of models capable of supporting up to 1 million tokens in their context window, users can feed a PDF of hundreds of pages into these models and output only the results they care about. However, the outputs may contain errors. In this talk, the presenters will share their learnings from building a tool that enables the manual annotation and evaluation of these models' outputs based on a collection of models chosen by the users. They find the comparison results interesting and would like to share them with the audience.
Speakers
Edward Brinkmann
As the CTO and co-founder of Datenna, Edward has guided the company through various stages of growth, transforming it from a technology start-up to a thriving scale-up. His first role as CTO was as founding engineer, implementing the first versions of the intelligence platform, and later as engineering manager and lead architect whilst expanding the development team. With a background in software engineering, data engineering, and systems architecture, Edward has a broad interest in technology, especially in translating business needs into the most suitable technical solutions. Before co-founding Datenna, Edward enjoyed working on end-to-end projects in the capacity of lead developer and full-stack engineer, gaining experience across various business domains, use cases, and technologies.
Shu Zhao
Shu has an MSc. in Artificial Intelligence, and part of her thesis was published in ECCV 2022 about artistic pose analysis based on computer vision. She also participated in AI Song Contest 2021 by producing one song by training an RNN-based language model.
Before she worked for Xebia data, Shu worked in various roles from large banks to smaller fintechs to e-commerce where she accumulated a wide span of technical skills to come to a sustainable solution.
Remi Baar
Fifteen years ago, at just 17, Remi launched his own software development company, quickly focusing on the exciting fields of artificial intelligence and data science. Since then, he has held various data science roles across a diverse range of organizations—from startups to multinational corporations, and from government agencies to airlines. His unique blend of software engineering expertise and data science has garnered him recognition and appreciation in each of these positions.
Currently, Remi is a valued member of the Xebia team, collaborating with fellow experts to enhance their collective skills and push the limits of AI.
With a passion for knowledge sharing, Remi eagerly shares his latest insights.