Upcoming Events at Brazos Hall
Description
Get the Bigger Picture in Texas. Applying Machine Learning & AI to Finance, Healthcare & Technology. Covering all major applications of AI and Machine Learning in all Data Science Salon verticals.
Event Details
This flagship edition of the Data Science Salon sets the tone of the year ahead in data science. The Data Science Salon series is a unique vertical focused conference which brings together specialists face-to-face to educate each other, illuminate best practices, and innovate new solutions in a casual atmosphere with food, great coffee, and entertainment.
2 immersive days
500+ attendees
50+ speakers
100+ blue chip companies represented
2 dedicated tracks for practitioners and managers
1 year access to DSS Insider and the DSS Online Community
Get access to powerful decision makers in data science in an intimate setting at Data Science Salon Austin, the flagship conference in the DSS series around all major applications AI and Machine Learning. 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. At DSS Austin, we connect you with our powerful community face-to-face and digitally – each ticket comes with one year of access to DSS Insider, the content repository for all Data Science Salons.
Data Science Salon Austin has two dedicated tracks. Learn the latest technical skills from the tool creators themselves in our technical track. Or join executives and top machine learning practitioners in our uses cases track as they share exclusive success stories and paint a roadmap to ML success.
Data Science Salons are one or two day events hosted at Blue Chip companies. Over 50% of our 200-500 attendees at each conference are data decisionmakers (Sr. Data Scientists and above). And we are the only data science conference with a gender balance in our speaking roster.
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:
2 immersive days
500+ attendees
50+ speakers
100+ blue chip companies represented
2 dedicated tracks for practitioners and managers
1 year access to DSS Insider and the DSS Online Community
Get access to powerful decision makers in data science in an intimate setting at Data Science Salon Austin, the flagship conference in the DSS series around all major applications AI and Machine Learning. 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. At DSS Austin, we connect you with our powerful community face-to-face and digitally – each ticket comes with one year of access to DSS Insider, the content repository for all Data Science Salons.
Data Science Salon Austin has two dedicated tracks. Learn the latest technical skills from the tool creators themselves in our technical track. Or join executives and top machine learning practitioners in our uses cases track as they share exclusive success stories and paint a roadmap to ML success.
Data Science Salons are one or two day events hosted at Blue Chip companies. Over 50% of our 200-500 attendees at each conference are data decisionmakers (Sr. Data Scientists and above). And we are the only data science conference with a gender balance in our speaking roster.
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:
