AUSTIN,TX

AI & Machine Learning in the Enterprise

2024 dates to be announced

Data Science Salon Austin is a two-day 500 person conference focused on AI and machine learning applications in the enterprise. The intimate event curates data science sessions to bring industry leaders and specialists face-to-face to educate each other on innovative new solutions in artificial intelligence, machine learning, predictive analytics and acceptance around best practices. Data Science Salon attendees are executives, senior data science practitioners, data science managers, analysts, and engineering professionals. The format includes a combination of talks, workshops, and panels with an optional expo and lots of time for networking in a casual environment with entertainment.

speakers

attendees in person

attendees online

Past Speakers

Graham	Ganssle

Graham Ganssle

Head of Data Science at Wayfair

Kim Martin

Kim Martin

Director, Software Engineering at Indeed

Michael	Shores

Michael Shores

Sr. Director of Data Science at Vista

Peter Grabowski

Peter Grabowski

Austin Site Lead – Enterprise ML at Google

Jean-Leah Njoroge

Jean-Leah Njoroge

Dir. – Conversational AI at Lowe’s Companies, Inc.

Alex Schwarm

Alex Schwarm

Vice President, Data Science at Arrive Logistics

Ying Ding

Ying Ding

Bill & Lewis Suit Professor at University of Texas at Austin

Andy Terrel

Andy Terrel

CTO at StoryFit

Sumayah Rahman

Sumayah Rahman

Director of Data Science at Cedar

Kunal Khadilkar

Kunal Khadilkar

Data Scientist for Adobe Photoshop at Adobe

TOPICS INCLUDE

Why Attend the DSS Austin Experience?

The Data Science Salon is a unique vertical focused conference which grew into one of the most diverse communities in the space! 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. Data Science Salon ATX provides a common framework for thinking about what Machine Learning and AI means to the enterprise. You will see a mix of use-cases, technical talks and workshops, and you will walk away with actionable insights from those working on the frontlines of Machine Learning in the enterprise. Join the DSS experience in person or virtually and improve your skills while connecting to like-minded people.

Choose between the in-person full DSS experience and the laid-back virtual edition of the event.

Virtual

Benefits of joining virtually

  • Improve your data skills in engaging virtual presentations and coffee chats
  • E-meet and connect with leading data scientists through intelligent networking apps
  • Learn how to apply state-of-the art AI and machine learning techniques in the enterprise
  • Ask expert speakers questions in live Q&A sessions
  • Access all sessions on-demand until two weeks after the event

In person

Benefits of joining in person

  • Improve your data skills in engaging live presentations and panel discussions
  • Meet and connect with leading data scientists in a casual atmosphere
  • Learn how to apply state-of-the art AI and machine learning techniques in the enterprise
  • Ask expert speakers questions in live Q&A sessions
  • Enjoy fun cocktail hours and great entertainment
  • Access the recordings of all sessions until two weeks after the event

Past Attending Companies

What people are saying

Other ways to get involved

Join the DSS online community network

Become a community partner

Become a DSS speaker

Host a booth at the event