Artist: Kirell Benzi
Title: Outside the Box (Learn more)
Register for Workshop here

It’s that time again!

You’re invited to join us at #TMLS2021

November 15th-18th 2021, Virtually

Despite the vast opportunities that lie within our data, there are explicit challenges, both technical & strategic.

We’ll address common hurdles and celebrate the accomplishments from our community of over 9,000 practitioners, academics & strategists, as we strive to advance your working potential of ML/AI through shared;

  • Workshops
  • Interactive Conference Presentations
  • P2P Networking
  • Career Opportunities and Hiring

Well cover 2021 Top Themes – See here

A Uniquely Interactive Learning & Networking Experience

Why TMLS?

Dates and Platforms

Platinum Sponsor

Gold Sponsors

Silver Sponsors

Partners

Conference Workshops

Nov 15-16th

Add Ticket holders can join all workshops listed (Some interactive sessions may have limited seating. All attendee will receive videos and material post-event.)

november

15nov10:00 AM12:00 PMNLP Without A Ready-Made Labeled DatasetSowmya Vajjala - Researcher, National Research Council, Canada10:00 AM - 12:00 PM

15nov10:00 AM11:00 PMAI Inference Workloads: Solving MLOps Challenges in ProductionGuy Salton - Solutions Engineering Lead, Run:AI10:00 AM - 11:00 PM

15nov12:00 PM1:30 PMMLOps without Much OpsJacopo Tagliabue - Lead AI Scientist, Coveo12:00 PM - 1:30 PM

15nov12:00 PM2:00 PMDevelop and Deploy ML Projects with Metaflow and SeldonVille Tuulos - Co-Founder, CEO & Oleg Avdeev - Co-Founder, Outerbounds | Clive Cox - CTO & Alejandro Saucedo - Engineering Director & Adrián González Martín - Machine Learning Engineer, Seldon | Romain Cledat, Software Engineer, Netflix12:00 PM - 2:00 PM

15nov12:00 PM3:00 PMBeginning your Journey with AI Art!Dr. Kirell Benzi - Data Artist | Researcher, EPFL12:00 PM - 3:00 PM

15nov2:00 PM3:30 PMDynaTask, A New Open Source Approach for AI BenchmarkingSam Lightstone - Software Engineer, Facebook2:00 PM - 3:30 PM

15nov2:00 PM4:30 PMMoving Beyond Average: Adopting Inclusive Design into Business Practices, Policies, and SystemsDr. Deirdre Kelly - Leadership Specialist, NAV CANADA2:00 PM - 4:30 PM

15nov2:00 PM6:00 PMFrom Concept to Production: Template for the Entire ML JourneyChanchal Chatterjee - Cloud AI Leader & Elvin Zhu - AI Engineer, Google2:00 PM - 6:00 PM

15nov4:00 PM5:00 PMTrain your first NLP Transformer Model with Amazon SageMaker and Hugging FaceMark McQuade - ML Success & Business Development Lead & Philipp Schmid - Machine Learning Engineer and Tech Lead, Hugging Face 🤗4:00 PM - 5:00 PM

15nov4:00 PM5:30 PMBuilding Data-Centric ApplicationsRoshni Malani - Engineering Leadership & Priyal Aggarwal - Machine Learning Engineer4:00 PM - 5:30 PM

15nov4:00 PM5:30 PMTowards Observability for Machine Learning PipelinesShreya Shankar - Ph.D. Student, UC Berkeley4:00 PM - 5:30 PM

15nov6:00 PM7:00 PMFederated Learning: Unlock the Value of Distributed DataRoshanak Houmanfa - VP of Machine Learning Products | Nasron Cheong - Platform Engineer ,integrate.ai6:00 PM - 7:00 PM

16nov9:30 AM11:00 AMPanel: Cyber Physical Systems and Mobile SecurityYevgeny Kulakov - Senior Security Research Lead, Microsoft | Sandeep Shukla - Professor, Indian Institute of Technology | Abdul Rahman Sattar - Senior Principal Security Analytics, Arctic Wolf Networks | Brandon Barry - CEO, Block Harbor | Ken Birman - Professor, Department of Computer Science, Cornell University9:30 AM - 11:00 AM

16nov10:00 AM12:00 PMUnlocking the Potential of Unstructured Data in Finance Through Document IntelligenceRahul Ghosh - Vice President & Himanshu Sharad Bhatt - Research Director, American Express AI Labs10:00 AM - 12:00 PM

16nov10:00 AM1:00 PMModern NLP: Learning to Apply Real Use CasesLeonardo De Marchi - Head of Data Science and Analytics, Financial Start-up Stealth10:00 AM - 1:00 PM

16nov10:00 AM1:00 PMIntroduction to Data Analysis Using PandasStefanie Molin - Data Scientist / Software Engineer, Bloomberg | Author of Hands-On Data Analysis with Pandas10:00 AM - 1:00 PM

16nov12:00 PM12:45 PMUsing AI Governance to Safely Scale AI With SpeedSophie Dionnet - General Manager, Business Solutions, Dataiku 12:00 PM - 12:45 PM

16nov12:00 PM1:00 PMA Human-Centred Design Approach to AI & MLRamy Nassar - Managing Partner, 1000 days Out12:00 PM - 1:00 PM

16nov12:00 PM1:30 PMResponsible AI Toolbox: A New Open-Source Machine Learning Model Assessment and Decision-Making ToolkitMinsoo Thigpen - Technical Program Manager, Azure Machine Learning, Microsoft | Rachel Kellam - Technical Program Manager, Responsible AI, Microsoft12:00 PM - 1:30 PM

16nov2:00 PM3:30 PMGrassroots Responsible AI: Operationalizing AI Ethics From The Inside OutAparna Dhinakaran - Chief Product Officer & Amber Roberts - Sales Engineer, Machine Learning, Arize AI | Abigail Hing Wen - Author, Producer, and AI Tech Leader, A Media, Inc | Reid Blackman - Founder and CEO, Virtue Consultants2:00 PM - 3:30 PM

16nov2:00 PM3:30 PMAlgorithmic Bias in Human Resources, Responsible AI, and Business StrategyUshnish Sengupta - Ph.D. Candidate, University of Toronto2:00 PM - 3:30 PM

16nov2:00 PM4:00 PMManaging AI/ML Model RiskJonathan Ouimet - Sales Engineer, ModelOp2:00 PM - 4:00 PM

16nov4:00 PM5:30 PMDeep AutoViML For Tensorflow Models and MLOps WorkflowsRam Seshadri - Machine Learning Program Manager, Google4:00 PM - 5:30 PM

16nov4:00 PM5:30 PM10X Faster Machine Learning from R&D to ProductionAzin Asgarian - Applied Research Scientist | Kyryl Truskovskyi - ML Engineer | Christopher Tee - ML Engineer, Georgian4:00 PM - 5:30 PM

16nov4:00 PM6:30 PMData shift and Model Adaptation in Machine Learning Sedef Akinli Kocak - Project Manager, Vector Institute | Ali Pesaranghader - AI Research Scientist, LG Toronto AI Lab | Mehdi Ataei - Researcher , Autodesk4:00 PM - 6:30 PM

Conference Presentations

Nov 17-18th

All sessions are live and interactive and will be available for all ticket holders. Videos will be sent to attendees to re-watch.

november

17nov9:15 AM10:00 AMAutoML: Towards Deep Learning 2.0Frank Hutter - Professor of Computer Science & Chief Expert AutoML9:15 AM - 10:00 AM

17nov10:05 AM10:50 AMHow a Robot Called Sophi is Helping The Globe and Mail and Other Publishers Turbo-charge Their Subscription RevenueSiavash Kazemian - Manager of Data Science10:05 AM - 10:50 AM

17nov10:05 AM10:50 AMResearchers Gone WildAdam Harvey - Independent Researcher10:05 AM - 10:50 AM

17nov10:05 AM10:50 AMUsing Constraint Programming to Improve Grocery Picking Efficiency at LoblawsMathieu Sylvestre - Data Scientist10:05 AM - 10:50 AM

17nov10:55 AM11:40 AMTowards Machine Intelligence Capable of Nobel-Caliber ScienceAlexander Lavin - Founder & Chief Technologist10:55 AM - 11:40 AM

17nov10:55 AM11:40 AMTrade-Off between Optimality and ExplainabilityNima Safaei - Senior Data Scientist10:55 AM - 11:40 AM

17nov10:55 AM11:40 AMLeadership of Responsible AI – The Case for Inclusive TechElizabeth Adams - Chief AI Ethics & Culture Advisor/Affiliate Fellow Lead Venture Partner10:55 AM - 11:40 AM

17nov12:10 PM12:40 PMUnsupervised Text Generation: Techniques and ApplicationsLili Mou - Assistant Professor12:10 PM - 12:40 PM

17nov12:10 PM12:40 PMHow HelloFresh Leverages Feature Engineering and Modelling Techniques to Inform Menu DesignDelina Ivanova - Senior Manager, Data, Analytics & Insights12:10 PM - 12:40 PM

17nov12:10 PM12:40 PMUnsolved Problems in Human-in-the-Loop Machine LearningRobert Monarch - Author, Human-in-the-Loop Machine Learning12:10 PM - 12:40 PM

17nov12:45 PM1:30 PMAI Ethics & Inclusive Tech DesignElizabeth Adams - Chief AI Ethics & Culture Advisor/Affiliate Fellow, Phil Gagnon-Joseph - Associate & Korri Antonio Jones - Senior Lead Machine Learning Engineer12:45 PM - 1:30 PM

17nov12:45 PM1:30 PMGraph Neural Networks with Almost No FeaturesEmanuele Rossi - Machine Learning Researcher12:45 PM - 1:30 PM

17nov12:45 PM1:30 PMLeveraging Novel Computer Vision and Machine Learning Solutions for Visual Inspection at Canadian National Railway (CN)Ashley Varghese - Data Scientist12:45 PM - 1:30 PM

17nov1:35 PM2:05 PMA Sneak Preview of Next-Generation Machine Learning HardwareSenthil Nathan Sivaraj - Principal Engineer1:35 PM - 2:05 PM

17nov2:15 PM3:00 PMFinance/Data Governance - Achieving Congruence Across the OrgDaniel Wagner - Director of Engineering, AI & Krista Henrich - AI Product Manager 2:15 PM - 3:00 PM

17nov2:15 PM3:00 PMSemantic Scholar, NLP, and the Fight against COVID-19Oren Etzioni - CEO2:15 PM - 3:00 PM

17nov3:05 PM3:35 PMHow to Attract and Retain the Next Generation of Machine Learning TalentTammy Kim-Newman - Business Developer, Co-Operative and Experiential Education3:05 PM - 3:35 PM

17nov3:05 PM3:35 PMThe AI Economist: Economic Policy Design using Deep Reinforcement Learning and AI SimulationsStephan Zheng - Lead Research Scientist3:05 PM - 3:35 PM

17nov4:05 PM4:50 PMExploring the Role of ML in Solving the Climate Crisis: Opportunities, Challenges and SuccessesAlik Sokolov - Co-Founder/CEO, Deval Pandya - Director of AI Engineering, Archy de Berker - Head of Data & ML, Samira Ebrahimi Kahou - Associate Professor4:05 PM - 4:50 PM

17nov4:05 PM4:50 PMObtaining Answers from Social Media DataAlon Halevy - Director4:05 PM - 4:50 PM

17nov4:05 PM4:50 PMChanging the Face of Parking: Lesson's Learned from SpotHero's Intelligent, Dynamic Rate BoardMichael Yan - Staff Data Scientist & Greg Svitak - Director of Labs4:05 PM - 4:50 PM