Applying AI & Machine Learning to Healthcare, Finance & Technology
FEBRUARY 16-17
Sponsored by
Community partners
The data science salon is a unique vertical focused conference which grew into a diverse community of senior data science, machine learning and other technical specialists. We gather face-to-face and virtually to educate each other, illuminate best practices and innovate new solutions in a casual atmosphere.
Speakers
Mitchell Coplan
Senior Analytics Consultant at Northwestern Medicine
Asaf Somekh
Co-Founder & CEO at Iguazio
Samrat Kulkarni
Data Science Lead at CVS Health
Diego Oppenheimer
CEO at Algorithmia
Ayda Farhadi
Senior Data Scientist at UPS
Shiva Amiri
Director, Research Infrastructure at 23andMe
Alan Feder
Principal Data Scientist at Invesco
Vasileios Stathias
Lead Data Scientist at Sylvester Comprehensive Cancer Center
Prof. Robert Klempfner
Dir. Israeli Center for Cardiovascular Research & Scientific Dir. – ARC Innovation Centre at Sheba Medical Centre
Victor Lee
Head of Product Strategy & Developer Relations at TigerGraph
Gaurav Deshpande
VP Marketing at TigerGraph
Connie Yee
Senior Data Scientist at Bloomberg
Ankur Chaudhary
Senior Data Scientist at Healthfirst
Roshini Johri
Principal Data Scientist at HSBC
Colin Waldman
Senior Machine Learning Engineer at One Medical
Saeed Shoaraee
Lead Data Scientist at S&P Global
Ivan Vankov
Cognitive Scientist & Software Engineer at John Snow Labs
Dax Paramanathan
Staff Data Scientist at Cityblock
Victor Pereboom
Co-Founder/CTO at UbiOps
James Cousins
Analyst Manager at Rapid Insight
Michael Johnson
Senior Data Scientist at St. Charles Health System
Mingjie Zhao
Data Scientist at Wells Fargo
Vaibhav Verdhan
Principal Data Scientist at Johnson & Johnson
About
DSS General Machine Learning Practices is the only industry conference that brings together specialists in Healthcare, Technology and Finance data science field to educate each other, illuminate best practices, and innovate new solutions.
Learn from practitioners, technical experts and executives how to solve real-world problems by harnessing disruptions in data, artificial intelligence, machine learning, and cutting-edge technologies. Each ticket comes with one year of access to DSS Insider, the content repository for all Data Science Salons.
Over 50% of our attendees at each conference are data decision-makers (Sr. Data Scientists and above). And we are the only data science conference with a gender balance in our speaking roster.
Subscribe to DSS Insider and Access this event and all other DSS Content
A SAMPLE OF TOPICS COVERED
Putting ML Apps Into Production
Personalization At Scale With AI
Cloud Automation And Machine Learning
Natural Language Processing & Deep Learning
Engineering For Data Science
Scaling ML Production
Improving Data Quality
Machine Learning Best Practices
Data Strategy And Governance
Data Ethics And Bias
Recommendation Engines
Designing ML Pipelines Efficiently
Deep Neural Networks
Image Recognition With ML
Using Large Scale Data Sets
Data Science Teams: Managing, Building, Collaboration
Integrating Open Source Tools Into Your Workflows
Content Personalization And Monetization
Data And AI For Emerging Platforms
Data Governance And More!