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
Mario A. Vinasco
Director BI and Analytics at Credit Sesame
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
Asaf Somekh
Co-Founder & CEO at Iguazio
Victor Lee
Head of Product Strategy & Developer Relations at TigerGraph
Gaurav Deshpande
VP Marketing at Tigergraph
Connie Yee
Data Scientist at Bloomberg LP
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
Data Scientist at S&P
Hemalatha B Raju
Lead Data Scientist at Syneos Health
Victor Pereboom
Co-Founder/CTO at UbiOps
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.
Day 1 – Tuesday, February 16
(All times are US Eastern Time)
Technical
12:00 pm – 12:35 pm – Introduction & Guided Meditation
12:40 pm – 1:10 pm – Talk by Mitchell Coplan – Senior Analytics Consultant at Northwestern Medicine
1:50 pm – 2:10 pm – Transfer Learning: Applications in the Real World
Ayda Farhadi – Senior Data Scientist at UPS
2:10 pm – 2:25 pm – 15 minute break
2:25 pm – 2:55 pm – Machine Learning Interpretability: How to understand what your ML model is doing
Alan Feder – Principal Data Scientist at Invesco
3:25 pm – 3:55 pm – Smarter AI with Analytical Graph Databases – Best Practices and Case Studies
Victor Lee – Head of Product Strategy & Developer Relations at TigerGraph
Gaurav Deshpande – VP Marketing at Tigergraph
4:00 pm – 4:30 pm – Talk by Connie Yee – Data Scientist at Bloomberg LP
4:35 pm – 4:55 pm – Talk by Roshini Johri – Principal Data Scientist at HSBC
4:55 pm – 5:00 pm – Wrap up
Business
12:00 pm – 12:35 pm – Introduction & Housekeeping
12:40 pm – 1:10 pm – Talk by Mario A. Vinasco – Director BI and Analytics at Credit Sesame
1:15 pm – 1:45 pm – The top 10 trends in enterprise machine learning for 2021
Diego Oppenheimer – CEO at Algorithmia
1:50 pm – 2:10 pm – Talk by Shiva Amiri – Director, Research Infrastructure at 23andMe
2:10 pm – 2:25 pm – 15 minute break
2:25 pm – 2:55 pm – Talk by Vasileios Stathias – Lead Data Scientist at Sylvester Comprehensive Cancer Center
3:00 pm – 3:20 pm – Talk by Asaf Somekh – Co-Founder & CEO at Iguazio
4:00 pm – 4:30 pm – Talk by Ankur Chaudhary – Senior Data Scientist at Healthfirst
4:55 pm – 5:00 pm – Wrap up
Day 2 – Wednesday, February 17
(All times are US Eastern Time)
Technical
12:00 pm – 12:35 pm – Introduction & Guided Meditation
12:40 pm – 1:10 pm – Rapid Prototyping and Deployment of Clinical NLP Models – Data Labeling, Model Development and Productionization
Colin Waldman – Senior Machine Learning Engineer at One Medical
1:15 pm – 1:45 pm – Talk by Saeed Shoaraee – Data Scientist at S&P
2:10 pm – 2:25 pm – 15 minute break
2:25 pm – 2:55 pm – Talk by Hemalatha B Raju – Lead Data Scientist at Syneos Health
4:00 pm – 4:30 pm – Talk by Mingjie Zhao – Data Scientist at Wells Fargo
4:35 pm – 4:55 pm – Computers can see now like humans – machine learning extending computer vision
Vaibhav Verdhan – Principal Data Scientist at Johnson & Johnson
4:55 pm – 5:00 pm – Wrap up
5:00 pm – 5:45 pm – Speed Networking
Register
Don’t see the registration form? Alternatively you can complete your registration here.
For any queries regarding Registration or Tickets, please contact us via info@formulated.by
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!