What we’re about
This is the official group for the Data Science Salon Community focused on Agile AI & ML in SF and Bay Area: https://datascience.salon/
The goal of the meetup is to create a dedicated venue to discuss what it takes to rapidly build and roll out AI-products. Our events cover infrastructure, product management, and hands-on best practices when developing AI-first products. Eventually, we hope that this community will help drive standards around how AI-ML of the future is developed and deployed.
In brief, we:
• Discuss best practices in Agile AI & MLÂ
• Help drive community standards around Agile AI & ML
• Meet outstanding data scientists and ML Engineers
Access on demand content on YouTube: https://www.youtube.com/c/DataScienceSalon
Upcoming events (3)
See all- DSS SF Meetup| AI & Machine Learning in the EnterpriseMicrosoft Reactor, San Francisco, CA
🤝 Join us at the next Data Science Salon SF Meetup on October 10th to connect with local practitioners and managers while hearing about emerging AI and machine learning trends and the enterprise.
We’ll be giving away two tickets to our upcoming Data Science Salon SF events on November 29th! More details here.
Agenda:
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6:00pm - 7:30pm - Networking
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7:30pm - 7:50pm - Featured Session 1
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Jeff Nelson, Strategic Account Executive at Arangodb
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7:50pm - 8:10pm - Featured Session 2
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Anomaly Detection for Salesforce’s Production Data
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Presented by Geeta Shankar, Software Engineer at Salesforce
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8:10pm - 9:00pm - Networking
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- DSS San Francisco: AI and Machine Learning in the EnterpriseSan Francisco, San Francisco, CA
Data Science Salon San Francisco (Enterprise) is an annual one-day 200- 350 person conference focused on AI and machine learning applications in the enterprise. The intimate event will take place in San Francisco and brings local industry leaders and specialists face-to-face to educate each other on innovative solutions in artificial intelligence, machine learning, predictive analytics and acceptance around best practices.
Featuring speakers from Autodesk., Salesforce, Zoom, Doordash, Fred Hutchinson Cancer Center, Capital One and many more!
You will see a mix of use cases, technical talks and panel conversations, and you will walk away with actionable insights from those working on the frontlines of machine learning in the enterprise. All sessions are live-streamed, where another 1K+ attendees tune in virtually.
Claim your in-person (SAPACE IS VERY LIMITED) or virtual ticket: https://www.datascience.salon/san-francisco/
CONFERENCE CODE OF CONDUCT:
All attendees, speakers, sponsors and volunteers at our conference are required to agree with the following code of conduct: Organizers will enforce this code throughout the event. We expect cooperation from all participants to help ensure a safe environment for everybody.
See the full version here: https://www.datascience.salon/code-of-conduct/ - DSS Seattle: Applying AI & ML to Retail & EcommerceNeeds location
DSS Seattle (Retail/E-commerce) is an annual one-day 200 - 350 person conference focused on AI and machine learning applications in retail and e-commerce. The intimate event will take place in Seattle and brings local industry leaders and specialists face-to-face to educate each other on innovative solutions in artificial intelligence, machine learning, predictive analytics and acceptance around best practices.
Featuring speakers from Benjamin Moore & Co., Target,and many more!
You will see a mix of use cases, technical talks and panel conversations,
and you will walk away with actionable insights from those working on the frontlines of machine learning in retail and e-commerce. All sessions are live-streamed, where another 1K+ attendees tune in virtually.Claim your in-person (SAPACE IS VERY LIMITED) or virtual ticket: https://www.datascience.salon/seattle/
CONFERENCE CODE OF CONDUCT:
All attendees, speakers, sponsors and volunteers at our conference are required to agree with the following code of conduct: Organizers will enforce this code throughout the event. We expect cooperation from all participants to help ensure a safe environment for everybody.
See the full version here: https://www.datascience.salon/code-of-conduct/
