DevFest by GDG Toronto

Name: DevFest by GDG Toronto
Start: 2024-11-23T10:00:00-05:00
End: 2024-11-23T15:00:00-05:00
Location: 55 St George St

55 St George St, 55 Saint George Street, Toronto, M5S 2E5

GDG Toronto

Join us at our upcoming DevFest 2024 event at University of Toronto, MyHal [55 St George St, Toronto, ON M5S 2E5, Canada] with other 100+ like minded professionals in tech! The RSVPs are limited to 450 on a first come first serve basis and will be closed on 19 November. Reserve your spot before they are out!

Nov 23, 3:00 – 8:00 PM (UTC)

606 RSVP'd

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Key Themes

AIDevFest

About this event

Join us at our upcoming DevFest 2024 event at University of Toronto, MyHal [55 St George St, Toronto, ON M5S 2E5, Canada] with other 300+ like minded professionals in tech!
​The RSVPs are limited to 450 on a first come first serve basis and will be closed on November 22nd. Reserve your spot before they are out!
It is the largest distributed gathering of technologists worldwide. Every year, we come together to celebrate technology and technologists that make our lives easier. Together, we learn and talk about upcoming technology which shapes our world and contributes towards making technology an equity. This year, GDG Toronto presents you one of the DevFest 2024 events in Toronto.
​This year, we have speakers with backgrounds like Responsible AI, UX, Cybersecurity, Android, learning new things about the Web and much more. They are covering a wide range of topics from startup journey to data analysis with big data to job hunting in the current wobbly market.
​This is a diverse event and welcomes everyone who is interested in learning more about technologies and our covering topics, or if you simply want to meet other amazing human beings, you are more than welcomed to join us!
​Location:
University of Toronto, MyHal [55 St George St, Toronto, ON M5S 2E5, Canada]
​Before Visiting MyHall:
Details coming soon
​Date and Time:
​RSVP closes on November 22 at 11:59 PM
​Doors open at 11:00am
​Event finishes at 3:00 PM
​Speakers and Topics:
Details coming soon
​Agenda:
10:00 – Doors open - Registration starts
11:15 – Registration closes
11:30 – 11:45 - Intro 
11:50 – 12:10 - Kiruthika Subramani (Keynote speaker) 
Topic: Beyond Accuracy - Integrating Responsible AI Metrics and Explainability into Model Evaluation with a Live Demo
12:10 – 12:20 - Transition to the next speaker
12:20 – 12:40 - Artur Kuzmin
Topic: Forget SQL! Get your personal AI Data Analytic
12:45 – 1:15 - Lunch + Networking
1:30 – 1:50 - Dorsa Giyahi
Topic: (Details coming soon)
1:50 – 2:00 - Transition to the next speaker
2:00 – 2:20 - Sebastian Ruan
Topic: Deliberative Democracy and Building Bridges Across Divides using Polis
2:20 – 2:30 - Transition to the next speaker
2:30 – 2:50  - Yegor Sak
Topic: Modern DNS Security
2:50 – 3:00  - Closing Notes
​Please note that all contents are subject to change.

When

Saturday, November 23, 2024
3:00 PM – 8:00 PM (UTC)

Where

55 St George St
55 Saint George Street
Toronto, M5S 2E5

Agenda

Doors Open
Intro
Kiruthika Subramani - Beyond Accuracy - Integrating Responsible AI Metrics and Explainability into Model Evaluation with a Live Demo	While machine learning models excel in predictive accuracy, traditional evaluation metrics often overlook critical issues like bias, fairness, and transparency. This talk emphasizes the urgent need for Responsible AI to build trustworthy ML systems. We'll explore common ML challenges, discuss the limitations of traditional evaluation methods, and advocate for incorporating Responsible AI metrics to ensure model robustness. To address the black-box nature of many models, we'll underscore the importance of explainability and provide a live demonstration of Explainable AI techniques to shed light on model decision-making processes.
Artur Kuzmin - Forget SQL! Get your personal AI Data Analytic	“How many new rental barbers have we got in the last 30 days?” “I need a test account: a commission barber in New York with over 30 bookings last week.” “What are the most common types of SMS we send?” These are just a few examples of the daily questions our Product and Android teams throw at me. One day, I decided to put an end to the constant interruptions by building an AI-powered Data Analyst—now available 24/7 to answer these queries for our team. How did I do it? Let me show you! We’ll start with the basics of chatting with Gemini using Kaggle, tackling challenges along the way. By the end, we’ll have a fully deployed system on Compute Engine that can chat with Cloud SQL or any database, including BigQuery and Snowflake. I’ll also share how this setup transformed Squire, where we manage 150+ tables and integrate Salesforce data into our Data Warehouse. The best part? This system can be fully cloud-based or fully local—no data leaves your environment! So, let's make the lives of our Product Managers easier!
Lunch and Networking
Dorsa Giyahi	(Details coming soon)
Sebastian Ruan - Deliberative Democracy and Building Bridges Across Divides using Polis
Yegor Sak - Modern DNS Security
Closing

Host

Hiral Thaker

UX Designer

Organizer

Solomon Hsu

GDG Organizer

See bio

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