Get the Bigger Picture in Texas
Covering all major applications of AI and Machine Learning in all Data Science Salon verticals.
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.
Lead Data Scientist at ScaleFactor
Senior Manager, Data Analytics at Siemens Mobility
President at NumFocus
Lead Data Scientist at OnlineMedEd
Analytics Project Leader at New York-Presbyterian Hospital
Manager, Risk Analytics and Data Science at Populus Financial Group
Data Science Lead at GM
Manager, Analytics/Data Science at Zynga
Senior Director, Data Science at FICO
VP Research and Intelligence at Forcepoint
Sr. Manager, Applied Data Science at Dell Technologies
President at PlayWell LLC
Head of Data Science at Capital One
North America Chief Data Scientist at Accenture AI
SVP Data Science at GM Financial
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: managing, building, collaboration | Integrating open source tools into your workflows | Enhancing the viewer experience with machine learning & AI | Content personalization and monetization | Audience targeting and segmentation (across platforms) | Data and AI for emerging platforms | Data governance, and more!