
What we’re about
Welcome to the Toronto AI, ML and Data Meetup Group! Join us to stay up-to-date on the intersection of Technology & Society, Data Science, and the future of Artificial Intelligence. This group explores various topics from the renowned book Artificial Intelligence: A Modern Approach to cutting-edge advancements in recommender systems. We also dive into the fascinating world of Federated discovery of big data interests. Stay connected with like-minded individuals, network, and collectively advance our understanding of AI, ML and Data. Let's shape the future together!
Upcoming events
3

Data Science Using AI on Fintech Data
·OnlineOnlineHi Everyone,
Join us for an exclusive live session designed for fintech leaders and data professionals who want to harness the power of AI to stay ahead in an increasingly complex and fast-moving financial world.
In this 60-minute interactive webinar, we’ll explore how AI-driven data science can help you:
- Analyze and mitigate portfolio risk across asset classes
- Detect fraud and anomalies in real-time transaction data
- Automate compliance monitoring and regulatory reporting
- Forecast revenue, churn, and lending trends using predictive models
- Tap into public datasets and on-chain crypto feeds for advanced analytics
- Use sentiment analysis to explore market movement and pricing signals
This session will include a live walkthrough of a powerful AI analytics platform that securely connects to your data sources, from core banking and CRM to market APIs and IoT, and delivers actionable insights with no coding required.
Whether you're a decision-maker at a digital bank, lending startup, wealthtech platform, or a data strategist in the financial services space, this webinar will equip you with practical tools and frameworks to level up your analytics and move from static dashboards to intelligent, AI-driven decision-making.
What you’ll gain from the session:
- A hands-on demo of AI applied to fintech use cases
- Real-world case studies from leading financial organizations
- A strategic view of how to build AI into your risk and compliance workflows
- The opportunity to ask questions directly to our AI and fintech experts
Who Should Attend:
CXOs, CTOs, Heads of Product, Risk, Compliance, Data, and Finance — along with professionals shaping the future of fintech through intelligent data use.
Reserve your spot now to explore how AI is transforming decision-making in financial services.76 attendees
How to Launch Your Own AI Data Scientist in Your Private Cloud
·OnlineOnlineHi Everyone,
Join this 60-minute live session to learn how organizations are deploying private, self-contained AI analytics environments, directly inside their own cloud, without opening their networks or sharing data externally.
Whether you're working in a regulated industry or simply want full control of your analytics stack, this session will guide you through how to set up your own “AI data scientist” in minutes, securely and without code.
What You’ll Learn:
- How to deploy a secure AI analytics engine in your AWS cloud
- Connect internal databases without VPN, firewall changes, or external accounts
- Run natural language analytics privately inside your cloud infrastructure
- Avoid complex setup: no Docker issues, no dependency management
- A live walkthrough of deploying and running AI securely in your VPC
Who Should Attend:
- DevOps and cloud engineers
- Data platform and analytics teams
- Privacy-first startups and enterprises
- Anyone exploring self-hosted AI solutions
Event Time:
🕗 Thursday, 29 January 2026 | 9:30 AM EDT
Register now to reserve your seat
This is a practical, security-focused walkthrough on how to bring AI in-house, on your terms.9 attendees
Past events
33


