We are thrilled to announce our next Meetup on April 29th at Entrix and flexa.
Format:
- 2 talks (each ca. 40 min incl. discussion)
- Time for networking + food + drinks before, in between and after the presentations
- Talks are held in English
- We will be taking photos and/or film footage at the event. These will be used to share news about our meetups and to publicize upcoming events.
The lineup:
First talk:
Wolfgang Ridinger - Forecasting and optimization to balance a renewables-powered electricity grid using batteries
Abstract:
Large-scale battery systems are becoming an increasingly important feature of the electricity grid as they balance intermittent production from renewables with demand for electricity. Batteries can serve the grid through different electricity markets, whose relative attractiveness differs each day. In this talk, we will outline how we forecast conditions in the electricity system each day and then use optimization on these forecasts to deploy the battery for maximum impact over the course of each day.
Bio:
Wolfgang is a Principal Data Scientist at Entrix who combines tools from Data Science, Optimization, and Economics to maximize the impact of batteries on the electricity system.
Second Talk:
Prajwal Nagaraja - MCP vs A2A: Which Protocol Is Better for AI Agents?
Abstract:
The Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocol offer distinct advantages for AI agent interaction and resource access. MCP acts as a universal connector, enabling AI models to interact with external data sources and tools, thus extending their functionality beyond training data. A2A, on the other hand, facilitates communication between independent AI agents, allowing them to collaborate regardless of their underlying frameworks. This talk will compare MCP and A2A, highlighting their core architectures, functionalities, and use cases. We will also explore how these protocols can be utilized to enhance generative AI (GenAI) applications, enabling more dynamic and interactive AI-driven solutions.
Bio:
Prajwal is a Machine Learning Engineer at BMW, specializing in generative AI (GenAI) applications. Prajwal focuses on developing AI solutions that leverage the power of AI to solve real-world problems.
