Applying AI & Machine Learning to Healthcare, Finance & Technology


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.

Past Speakers

Kristie Wirth

Kristie Wirth

Data Scientist at Zapier

Vijay Pravin

Vijay Pravin

Data Analytics Expert at Siemens AG (Germany)

Debasmita Das

Debasmita Das

Senior AI Specialist at Mastercard

Brandy Walsh

Brandy Walsh

Data Privacy Attorney at Acxiom

Aparna Kapoor

Aparna Kapoor

Lead Data Scientist (Asia Pacific) at The Boston Consulting Goup

Miriam Friedel

Miriam Friedel

Director, Data Science at Capital One

Nikunj Aggarwal

Nikunj Aggarwal

Staff Software Engineer at Citizen

Sonali Syngal

Sonali Syngal

Machine Learning Specialist at Mastercard


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.



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!


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