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Join us for the Finance & Insurance Machine Learning Community’s Annual Gathering
8 speakers will explore applications of Machine Learning from both the business and technical areas of expertise.
Attendees will have opportunities to meet with both academic researchers and industrial parties active in the Financial sector in order to gain new perspectives from each other’s scope of work.
The Micro-Summit includes:
Join this new initiative to help push the AI community forward.
Co-Founder and CEO, SR.ai
CTO, Lydia.ai
Head of I3 Investments, Guardian Capital LP
Talk: Eye of the Tiger: The Transformative Impact of AI on Investment Management
Senior Portfolio Manager and Engineer, Guardian Capital LP
Talk: Eye of the Tiger: The Transformative Impact of AI on Investment Management
Co-Presenter: Srikanth Iyer
Co-Founder and CEO, Superwise
Talk: The Uncommon Monitoring Challenges Unique to Fintech
Head of Global Solutions Architecture, Arize AI
Talk: Best Practices in ML Observability for Fraud
Machine Learning Researcher, Lydia.ai
Talk: What We Have Learned From Predicting Health Status Using Wearables?
Co-Presenter: Elham Karami
Senior Data Scientist, Lydia.ai
Talk: What We Have Learned From Predicting Health Status Using Wearables?
Co-Presenter: Hanieh Arjmand
Applied Data Scientist, Lydia.ai
Talk: How to Create Systematically Sampled Datasets that Solve Business Problems
Senior Data Scientist, Lydia.ai
Talk: How to Create Systematically Sampled Datasets that Solve Business Problems
Co-Presenter: Spark Tseung
Senior Data Scientist, Scotiabank
Talk: Feature Selection Using Causal Inference for Predicting Macroeconomic Factors
Co-Presenter: Baris Kaya
Director, Data Science – Lead Data Scientist, Global Banking & Markets, Scotiabank
Talk: Feature Selection Using Causal Inference for Predicting Macroeconomic Factors
Co-Presenter: Nima Safaei
Evangelist, ClearML
Talk: The Importance of Experiment Tracking and Data Traceability
Director of Product Management, Munich Re
Talk: Privacy Law 101 for ML in Insurance
Co-Presenter: Margaret Pak
Partner, Walker Sorensen LLP
Talk: Privacy Law 101 for ML in Insurance
Co-Presenter: Michael Maunder
Global Head, Customer Sustainability / ESG, Rockwell Automation
Talk: The As-yet Untapped Multi-Trillion Dollar Opportunity: How AI/ML can help Secure the Future of the Human Race
Global Solutions Director, Financial Services & Insurance, Dataiku
Co-Presenter: David Behar
Workshop: GLM for Insurance Claims in an Agile Analytics Platform
Co-Presenter: John McCambridge
Associate Applied Machine Learning Specialist, Vector Institute
Workshop: Deep Learning for Time Series Forecasting with Applications in Finance
Co-Presenter: Yan Zhang
Lead Data Scientist, BMO
Workshop: Deep Learning for Time Series Forecasting with Applications in Finance
Co-Presenter: John Jewell
Insurance Technology Analyst and Consultant, Celent
Workshop: ML Trends, Opportunities, and Challenges in Insurance
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