Talks & Presentations
Technical talks and presentations on Machine Learning Engineering, Generative AI, and Cloud Architecture.
Intro to GCP for AI Hackathon Participants
AI Hack Berlin 2024
Supercharge your AI development on with GCP Serverless Tools, Verex AI and Gemini - A super brief GCP 101 for Hackathon Participants
Modern marketing measurement with Supermetrics and Google Cloud
Supermetrics Supersummit 2024
Discussing the Data Engineering challenges in marketing measurement and how to solve it using the Google's Modern Measurement Playbook and Google Cloud telemetry infrastructure.
This is why you won't use a Graph Database every again.
Unstructured Data Meetup Berlin
Talking about graph2nosql, a python interface to store your knowledge graph in your favourite NoSQL DB. No more GraphDBs and cyper exploding your stack and requiring new skills.
They upgrade their RAG systems with this one weird trick. Vector DB companies hate them!
Project A Packon 2024
In this talk, we will find out whether text embedding RAG is actually dead. We will explore Graph RAG's advantages and disadvantages. Let’s also discuss implementation strategies and compare costs and build your understanding so you know where to get started.
Modern marketing measurement with Supermetrics and Google Cloud
DMEXCO 2024
Discussing the Data Engineering challenges in marketing measurement and how to solve it using the Google's Modern Measurement Playbook and Google Cloud telemetry infrastructure.
Panel Discussion at Merantic AI Campus Berlin
Multimodal Generative AI: Opportunities, Challenges and Future Directions
Panel Discussion on current state and future path of multimodal AI applications
They upgrade their RAG systems with this one weird trick. Vector DB companies hate them!
AI in Production Meetup Berlin
In this talk, we will find out whether text embedding RAG is actually dead. We will explore Graph RAG's advantages and disadvantages. Let’s also discuss implementation strategies and compare costs and build your understanding so you know where to get started.
Welcome to the Gemini Era: How Ninetailed mastered the AI platform game.
Google Cloud Summit Germany - North
A firesite chat with Ninetailed CTO Alex Braunreuther on how Ninetailed used it's partnership with Google to build it's AI Platform and product feature suite around Vertex AI and Gemini.
Firesite Chat with Google's Jakob Pörschmann
Ninetailed Xperience Pulse
A firesite chat with Ninetailed CTO Alex Braunreuther on how Ninetailed used it's partnership with Google to build it's AI Platform and product feature suite around Vertex AI and Gemini.
How LLMs are like cats, and why that helps us to mitigate LLM hallucinations - Building Beyond the Buzz III
LLM Explainability, Mitigating Hallucinations & Ensuring Ethical Practices: KI Park x Google
A discussion of LLM hallucinations, where they come from and how to prevent them using Vector RAG and Graph RAG on GCP
How LLMs are like cats, and why that helps us to mitigate LLM hallucinations - Building Beyond the Buzz III
Build with AI - Google Developer Groups
A discussion of LLM hallucinations, where they come from and how to prevent them using Vector RAG and Graph RAG on GCP
Building a Serverless Two Tower Recommendation Engine
/dev/cloud Developer Day Berlin
Discussing the challenges of building various types of recommendation engines and demoing a Google Cloud Platform implemetation of a two-tower recommender
Building Beyond the Buzz II: Semantic Search via LLMs
/dev/cloud AI/ML Developer day
Discussing the ins and outs of LLM powered Data Management demoing a serverless retrieval augmented generation implementation
Data Analytics on GCP 101
Hack AI Campus
Intro to data analytics tools on GCP, focussed on showcasing abilities using a hands on demo use case
Building Beyond the Buzz II: Semantic Search via LLMs
Project A Tech Days
Discussing the ins and outs of LLM powered Data Management demoing a serverless retrieval augmented generation implementation
Panel Discussion on Germany's position in the AI hype and how that affects foreign policy making
DGAP & Bitkom: Künstliche Intelligenz und Außenpolitik
Contributed insights about viable AI use cases and how we see it acceelerate industries, brainstormed about how these achievemnts could be utilized in the public sector
MLOps Lifecycle on GCP 101
Google AI First Accelerator Cohort Kick Off
Hands on session to introduce Vertex AI tools to support all stages of the ML model lifecycle
Generative AI and the hype cycle
VECEE Meetup Berlin
Evaluation of the hype around Generative AI, specifically focusing on what VC investors should look out for when investing in the space
Building Beyond the Buzz I: LLMs, Langchain & Vertex AI
GfK Meetup: Maximizing ML Impact
Building best practices to operationalize LLMs, showcasing how to prepare data, write the right prompt, orchestrate LLMs and evaluate LLM predictions
Building Beyond the Buzz I: LLMs, Langchain & Vertex AI
AI Innovation: LLMs, Federated Learning and Slime Mold Algorithms
Building best practices to operationalize LLMs, showcasing how to prepare data, write the right prompt, orchestrate LLMs and evaluate LLM predictions
Panel Discussion: GenAI & LLMs, Where, When, What and How
Generative AI Breakfast Merantix x Google: Where, When, What and How?
Contributed with insights from real work implementation challenges, specifically regarding the selection of the right use cases
Data Analytics on GCP 101
Google Cloud Berlin Region Launch
Intro to data analytics tools on GCP, focussed on showcasing abilities using a hands on demo use case
One decade of MLOps learnings from scaling ML to BNs of users
Project A Data Days
Talk to underline the importante of MLOps for successful ML Projects and a comparison of best practices and common architecture patterns that power successful ML platforms on GCP
One decade of MLOps learnings from scaling ML to BNs of users
Dida Machine Learning Conference
Talk to underline the importante of MLOps for successful ML Projects and a comparison of best practices and common architecture patterns that power successful ML platforms on GCP including a hands on demo
Serverless Two Tower Recommendation Engine
/dev/cloud Developer Day Warsaw
Discussing the challenges of building various types of recommendation engines and demoing a Google Cloud Platform implemetation of a two-tower recommender
Generative AI 101 on GCP
Succeeding with Google Data Cloud & Modern BI
High level intro to the GenAI offerig on Google Cloud Platform
One decade of MLOps learnings from scaling ML to BNs of users
How ML6 & GfK scaled their Data Science platform on GCP @ Merantix AI Campus Berlin
Talk to underline the importante of MLOps for successful ML Projects and a comparison of best practices and common architecture patterns that power successful ML platforms on GCP
A brief history of MLOps Research @ Google
MLOps Community Meetup Berlin
Lightning talk tracking the findings of the most notabe MLOps related research papers from the Google ecosystem
Spark on Google Cloud
Google Cloud Next '22 Munich
Comparing options of running Spark workloads on GCP in traditional and serverless manner