TMLS Machine Learning in Finance & Insurance Virtual Summit
Date and time
Refund policy
Refunds up to 7 days before event
Tickets still available here: https://bit.ly/TMLSFinanceInsurance
About this event
NOTE: Workshops are hosted on the 10th and talks on the 11th.
Join us for the Finance Machine Learning Community's annual gathering chaired by Alex Tomberg, CTO, Lydia.ai & Alik Sokolov, Co-Founder and CEO, SR ai
Speakers will explore applications of Machine Learning from both the business and technical areas of expertise.
Speakers and workshops here; (recently edited)
- John Taylor Jewell, Associate Applied Machine Learning Specialist, Vector Institute, Yan Zhang Lead Data Scientist, BMO Financial Group
- Deep Learning for Time Series Forecasting with Applications in Finance (WORKSHOP)
- Paul Daigle, SR.ai - Lead Data Scientist
- Integrating NLP in Finance
- Max Ang, Insurance Technology Analyst and Consultant
- ML Trends, Opportunities, and Challenges in Insurance (WORKSHOP)
- Gabriel Barcelos, Arize AI, Head of Global Solutions Architecture
- Best Practices in ML Observability for Fraud
- Srikanth Iyer, MBA, ICWA, Guardian Capital LP, Head of I3 Investments
- Eye of the Tiger: The Transformative Impact of AI on Investment Management
- Andrea Ruotolo, Rockwell Automation - Global Head, Customer Sustainability/ESG
- The as-yet Untapped Multi-trillion Dollar Opportunity: How AI/ML Can Help Secure the Future of the Human Race
- Hanieh Arjmand, ML Researcher at Lydia.ai
- What We Have Learned from Predicting Health Status Using Wearables?
- Spark Tseung, Lydia.ai & Applied Data Scientist
- How to Create Systematically Sampled Datasets that Solve Business Problems
- John McCambridge and David Behar, John McCambridge, Global Solutions Director, Financial Services & Insurance at Dataiku and David Behar, Senior Data Scientist at Dataiku
- GLM for Insurance Claims in an Agile Analytics Platform
- Liran Hason, CEO at Aporia-
- Responsible AI in Finance
- Victor Sonck, ClearML Evangelist
- The Importance of Experiment Tracking and Data Traceability
- Prof. Luis Seco, Professor, University of Toronto
- Math, Technology and Social Science
- Oren Razon, Co-founder and CEO at Superwise
- The Uncommon Monitoring Challenges Unique to Fintech
- John Jewell, Vector Institute, Associate Applied Machine Learning Specialist
- Deep Learning for Time Series Forecasting with Applications in Finance (WORKSHOP)
- Michael Maunder & Margaret Pak , Michael: Munich Re - Director of Product Management; Margaret: Partner at Walker Sorensen
- Privacy Law 101 for ML in Insurance