Welcome to 10th TMLS

Live Stream - June 17th + 18th

Please click on the individual Join Now button to access the sessions.                     Please click on the individual Join Now button to access the session.                     

June 17th Sessions

Auditorium A

Auditorium B

Auditorium C

9:30 AM - 9:45 AM

Opening Remarks

Dave Scharbach

9:45 AM - 10:25 AM

An Open AI Stack

Ion Stoica, Professor

UC Berkeley

10:55 AM - 11:25 AM

Leading AI Change — The Human Side of Responsible Deployment

Thena Sasitharan, Director, People Change Management - Advanced Analytics & AI

CIBC

Auditorium A

dLLMs: Rethinking Generation Beyond Autoregressive Models

Suhas Pai, CTO | Lily Ren, Co-Founder

Hudson Labs | Fruitless Labs

Why Agentic AI Evaluation Break in Production

Olivier Blais, VP of AI

Moov AI

11:30 AM - 12:00 PM

Don't Fine-Tune Yet: When Prompt Optimization Wins (and When It Doesn't)

Travis DePuy, AI Solution Engineer

Weights & Biases

Auditorium A

Deploying with Purpose: Embedding Economic Evaluation Across the AI Lifecycle

Dhari Gandhi, AI Project Manager

Vector Institute AI

Heat, Noise, and Intelligence: Probabilistic Inference & Thermodynamic Computing for AI

Amir Haijan, Chief Science Officer

Arteria AI

12:05 PM - 12:35 PM

The Orchestration Stack for Observable, Debuggable, and Durable Agents

Ketan Umare, Co-Founder and CEO

Union.ai

Auditorium A

Fireside Chat: Quantum as part of the AI Stack. A conversation with CEO of Xanadu

Dr. Christian Weedbrook, Founder and CEO | April Fong, Senior Editor, Report on Business

Xanadu | The Globe and Mail

The Meaning Gap: Your Agent Is Correct. Your Deployment Is Not.

Mario Lazo, Principal Solution Architect for Data and AI

Insight Global Consulting

1:35 PM - 2:05 PM

Hardened AI for Optimized Security and Performance

Tyson Macaulay, COO

01 Quantum

Auditorium A

From Gut to Graph: How Boardy Makes Executive Networking Decisions at Scale

Andrew D'Souza, CEO/Founder

Boardy

What It Takes to Build Production-Grade Foundation Models in Finance

Freddy Lecue, Managing Director, Head of Frontier AI Model Methodology

Wells Fargo

2:10 PM - 2:40 PM

Modeling and Inferencing Customer Intent from Event Sequences: From Glass-box to Transformers

Karthik Guruswamy, Financial AI Strategy Lead

Teradata

Auditorium A

Expanding the Capabilities of Tabular Foundation Models

Anthony Caterini, Senior Research Machine Learning Scientist

Layer 6 AI (Division of TD Bank)

Leading Trustworthy AI Engineering in Legal: Alignment, Trade-offs, and the Glue That Holds It Together

Zahra Shekarchi, Lead Research Engineer

Thomson Reuters

2:45 PM - 3:15 PM

Reasoning Robots: Open World Navigation and Memory for Agentic Robots

Steven Waslander, Professor

University of Toronto

Auditorium A

Panel: Agents in Production: What It Actually Takes in Regulated Environments

Armando Benitez, CDAO & Head of AI | Ozge Yeloglu, VP, Advanced Analytics & AI | Chad Koziel, VP, AI | Matt Clements, CTO | Patricia Arocena, Head of AI & Innovation

BMO Capital Markets | CIBC | Layer 6 | Tangerine | RBC

Lean by Design: How a Three-Person Nonprofit AI Team Shipped a Production-Grade Multilingual RAG and Conversational System

Luis Ticas, Head of AI | Helena Yu, Strategic Lead

Climate Resilient Communities | Sprout Climate

3:45 PM - 4:15 PM

The Agentic Flow I Designed Versus the Actual Flow: And How I Discovered It Using OpenTelemetry and Process Mining

Michael Havey, Principal Data Architect

OpsGuru

Auditorium A

Long Context Training and Inference on AMD GPUs

Mehdi Rezagholizadeh, Principal Research Scientist

AMD

A Multi-Stage Framework for Instruction-Based Evaluation of LLM Outputs

Hanieh Arjmand, Lead AI Engineer

Chubb

4:20 PM - 4:50 PM

From SaaS to Agentic Platforms: Where the Next Software Advantage Lies

Afsaneh Fazly, Founder and Principal

Astaria AI

Auditorium A

Is Your Eval Lying to You? Catching Hidden Failures in Agent Evaluation

Abhimanyu Anand, Senior Data Scientist

Elastic

A Multi-Stage Framework for Instruction-Based Evaluation of LLM Outputs

Hanieh Arjmand, Lead AI Engineer

Chubb

June 18th Sessions

Auditorium A

Auditorium B

Auditorium C

9:30 AM - 10:25 AM

Day 2 Opening Remarks & Table Trivia

Dave Scharbach

10:30 - 10:50 AM

10:55 AM - 11:25 AM

How Software Companies Become AI Companies

Alet Blanken, Vice President, AI Engineering

Workday

Auditorium A

SONIC-O1: A Real-World Benchmark for Evaluating Multimodal LLMs on Audio-Video Understanding

Ahmed Radwan, Machine Learning Specialist

Vector Institute

Artificial Intelligence in Healthcare: From Promise to Practice

Muhammad Mamdani, Professor and Director

University of Toronto

11:30 AM - 12:00 PM

Scaling AI Impact: A Two-Pronged Operating Model for Enterprise Transformation at TELUS

Swanand Gupte, Director, Artificial Intelligence

TELUS

Auditorium A

Pre-RFP Pension Fund Prospect Ranking: Proxy Targets on Noisy Mandate Data, LLM-Assisted Research, and Human-in-the-Loop Coverage

Anshuman Panwar, VP & Director, AI

TD Asset Management

LLM-Guided Calibration of Causal Discovery Models for Macroeconomic Analysis

Nima Safaei, Senior Data Scientist

Scotiabank

12:05 PM - 12:35 PM

A Unified Approach to Building, Running, and Governing AI Agents at Scale

Amna Jamal, Data and AI Market Leader

IBM Canada

Auditorium A

Squeezing More Juice Out of Your LLM API: Performance Optimizations and How to Leverage Them

Hagay Lupesko, Senior Vice President of Engineering

Cerebras Systems

Scaling Production-Grade LLMs: Diagnosing Hidden Bottlenecks in Training and Inference Systems

Deepkamal Gill, Senior AI/ML Scientist | Mehul Soni, Senior AI Research Engineer, Enterprise AI Research

The Vanguard Group

1:35 PM - 2:05 PM

Reasoning Over Complex Documents

Denys Linkov, Head of ML | Afseen Syeda, AI Medical Data Specialist | Lead Prompt Engineer

Wisedocs

Auditorium A

One Does Not Simply Build a Quantum Computer Without AI

Zy Niu, Head of AI

Xanadu Quantum Technologies

Human AI Coordination - A Progressive Trust Framework

Mahsa Rouzbahman, Director, Advanced Analytics & AI | Aditya Anne, Senior Director, Enterprise AI Governance

CIBC

2:10 PM - 2:40 PM

From Day 2 to Day 10: Operationalizing Evals for Real-World LLM Systems

Korede Adegboye, Machine Learning Engineer | Mefta Sadat, Machine Learning Engineer

Priceline

Auditorium A

Beyond NLP: Technical Challenges in Building a Foundation Model for Sequential Event Data

Lin Liu, Director, Data Science | Alvin Li, Data Scientist | Jennifer Yu, Staff Data Scientist

Wealthsimple

Model-Agnostic Feature Importance with Dependent Features: A Conditional Subgroup Approach

Javeria Ahmed, Senior Manager, Retail Risk Modelling

Royal Bank of Canada (RBC)

2:45 PM - 3:15 PM

High-Precision Targeted Audience Discovery with Gen Ai

Nataliya Portman, Senior Data Scientist

CBC/Radio-Canada

Auditorium A

Implementing Retrieval Augmented Generation Technique on Unstructured and Structured Data Sources in a Call Center of a Large Financial Institution

Shariyar Murtaza, AVP AI and Applied Research | Yifan Nie, Senior Data Scientist

Manulife

Lean by Design: How a Three-Person Nonprofit AI Team Shipped a Production-Grade Multilingual RAG and Conversational System

Luis Ticas, Head of AI | Helena Yu, Strategic Lead

Climate Resilient Communities | Sprout Climate

Who Attends

Attendees
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Data Practitioners
0 %
Researchers/Academics
0 %
Business Leaders
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2023 Event Demographics

Technical practitioners working directly with ML/AI systems
0 %
Currently Working in Industry*
0 %
Attendees Looking for Solutions
0 %
Currently Hiring
0 %
Attendees Actively Job-Searching
0 %

2023 Technical Background

Expert/Researcher
14%
Advanced
37%
Intermediate
28%
Beginner
7%

2023 Attendees & Thought Leadership

Attendees
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Speakers
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Company Sponsors
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Business Leaders: C-Level Executives, Project Managers, and Product Owners will get to explore best practices, methodologies, principles, and practices for achieving ROI.

Engineers, Researchers, Data Practitioners: Will get a better understanding of the challenges, solutions, and ideas being offered via breakouts & workshops on Natural Language Processing, Neural Nets, Reinforcement Learning, Generative Adversarial Networks (GANs), Evolution Strategies, AutoML, and more.

Job Seekers: Will have the opportunity to network virtually and meet over 30+ Top Al Companies.

Ignite what is an Ignite Talk?

Ignite is an innovative and fast-paced style used to deliver a concise presentation.

During an Ignite Talk, presenters discuss their research using 20 image-centric slides which automatically advance every 15 seconds.

The result is a fun and engaging five-minute presentation.

You can see all our speakers and full agenda here

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