Pie & AI: AI in action

IMPORTANT: The event is free, but to make sure we have enough food we ask you please sign up here!

If you sign up, please make sure you attend, as we will be reserving a seat and food for you! Please also message the organizer with your dietary preferences when you sign up.

📢 Join Us for "Pie & AI" – An Evening of Food, Talks, and Networking! 🍕🤖
We’re excited to invite you to Pie & AI, an engaging event that brings together AI enthusiasts, professionals, and researchers for an evening of great food and insightful discussions.
The evening kicks off with a dinner, followed by two thought-provoking talks:

💡 Talk 1: Building production ready responsible AI
A deep dive into the real-world hurdles of implementing ethical and trustworthy AI.

🚀 Talk 2: AI in Action – A Use Case Deep Dive
An in-depth exploration of a compelling AI application and its impact.

We’ll wrap up the night with networking drinks, giving you the chance to connect with fellow AI enthusiasts in a relaxed setting.

Don’t miss this opportunity to learn, share ideas, and expand your network.

Oh, and there will be pie!

Seats are limited, so sign up fast! 🎟️✨

Agenda:
5:00pm-6:00pm: Doors open + pie and refreshments
6:00pm-6:10pm: Introduction
6:10pm-6:50pm: First speaker + Q&A
7:00pm-7:40pm: Second speaker + Q&A
7:40pm-10:00pm: Mingle with your fellow deep learners!

Speaker bio and their topics:

Speaker 1: Nilay Aishwarya

Topic: Building production ready responsible AI

We are going to talk about practical challenges when implementing Responsible AI in production. What happens when AI messes up? We will highlight principles like:

• Creating an effective human - AI team
• Developing scalable and robust AI deployments
• Pro active monitoring
• Compliance in AI

Bio: Nilay is a XAI Software Engineer and researcher at Deeploy driven by a passion for building impactful and trustworthy AI solutions. He specializes in developing critical capabilities that enable responsible AI adoption, including robust monitoring, comprehensive auditability, and insightful explainability. He has spearheaded the development of production level monitoring, scalability and explanability features for wide range of application area including fintech and healthcare.

Speaker 2: Michael de Winter

Title: Detecting aquatic plants using high-resolution satellite images with a Random Forest model

Aquatic plants play an essential role in maintaining water quality and biodiversity. However, we need an efficient method to track whether our policies aimed at preserving these plants are effective.

Bio: Michael has been a data scientist working for the Province of South Holland for 8 years now.

Some of his various projects included predicting traffic congestion during bridge openings. Detecting bottlenecks in the road network of the province and using satellite data to recognize and monitor various biodiversity variables.